DDI_ZMB_2009_ZAAI_v01_M Akiko Sagesaka 2010-03-25 NADA version 1.0 The Zambia Access to ACT Initiative Survey 2009 ZAAIS 2009 ZMB_2009_ZAAI_v01_M Jed Friedman and Edit Velenyi, The World Bank

Human Development Network

The National Malaria Control Center The World Bank (c) 2010, The World Bank NADA Health Edit Velenyi Other Household Survey [hh/oth] Baseline Survey v1.1: Edited Data. consumption/consumer behaviour [1.1] income, property and investment/saving [1.5] employment [3.1] general health [8.4] health care and medical treatment [8.5] specific diseases and medical conditions [8.9] housing [10.1] The Zambia Access to ACT Initiative (ZAAI) is designed to inform the Government of the Republic of Zambia (GRZ) on how to best increase the access to Artemisinin-based Combination Therapy (ACTs) and other essential drugs for treatement of malaria. ZAAI is designed in close collaboration between the GRZ and several Cooperating Partners (CPs) and is co-financed by DFID and USAID. The ZAAI is designed to implement and evaluate the effectiveness of a combination of public and private sector strategies for improving access to ACTs and diagnostics in the country. The ZAAI has four main objectives: (1) To enhance public sector supply chain management in order to reduce stock out rates of ACTs and Rapid Diagnostic Tests (RDTs) and improve availability of important medicines and medical supplies at health centres and hospitals throughout Zambia. (2) To improve access and affordability of ACTs as well as diagnostics through the private sector by introducing a combined ACT and RDT subsidy to private sector wholesalers and other outlets. (3) To provide access to ACTs and RDTs through Community Health Workers (CHWs), the National Malaria Control Centre (NMCC) has rolled out a CHWs programme in 11 out of the 72 districts. Under the framework of this programme, the NMCC trains CHWs in diagnostics and makes ACTs and RDTs available through the public distribution system. ZAAI will provide funding to further expand the CHWs programme to 2-3 more districts. (4) To inform policy decisions about the impact and effectiveness of the above interventions. Observing the impact of the three interventions when implemented either separately or co-jointly is a unique opportunity to quantify the relative effect of each intervention as well as their combined effect on the household decision making on malaria treatment. To achieve the fourth objective the ZAAI will undergo a rigorous impact evaluation, using a randomized design to infer the effect of the interventions. This evaluative research will provide rigorous quantitative evidence on the effectiveness and cost effectiveness of each pilot intervention. The paired public and private sector interventions presents a unique opportunity to measure and evaluate concurrent improvement in both public and private sector accessibility and their joint effect on household access to first line treatment. A key input into this process will be the collection of high quality, comprehensive, and multi-purpose household survey data, as well as community level data to account for community effects. The ZAAI 2009 is the baseline survey. Zambia Province Level: The survey was conducted in 3 of Zambia's Provinces: Eastern, Northern and Luapuala Provinces. District Level: A total of 8 Districts are covered in these Provinces: Milenge and Mwanse in Luapula Province, Kasama and Chinsali in Northern Province and Nyimba, Chadiza, Lundazi and Chama in Eastern province. Household, Individual, Community Sample survey data [ssd] The scope of The Zambia Access to ACT Initiative (ZAAI) survey includes: HOUSEHOLD: Household roster, Education, Economic activities, Dwelling characteristics and household amenities, Household assets, Non-farm enterprise, Farm enterprise, Transfers and other income and subjective wealth, Weekly food consumption, Monthly food consumption, Annual non-food consumption, Mosquito nets, Malaria-related knowledge, attitude and practice (KAP), General & health-specific risk pereference, Time preference, Mental health, Health status and utilization, Health care satisfaction, Willingness-to-pay, Willingness-to-pay bid game, Malaria and anemia testing, Height and weight COMMUNITY: Direct observation, Composition of interview, Demography, Access to basic services and community characteristics, Social capital and community empowerment, Health, Economic Activities, External Shocks, Prices Palm Associates Limited Geo-Hydro Consulting To start the sampling procedure, identify the households that are 'non-contact' and those that refused to cooperate and mark them by writing 'NON CONTACT' or 'REFUSAL' in the margin against them. After this is done, the households that remain are the households from which complete information was collected during listing. Category 1 The next step is to stratify households according to whether or not there was at least one member of the household who had fever/malaria in the past month. Check question 8 in the listing book to identify such households. All households that had code '1' in question 8, meaning at least a member of that household had fever/malaria in the past month, will be marked with an X in the column indicated as category 1. Category 2 Make sure you check and are satisfied that all the non-contacts have been indicated as such and those that refused to cooperate have also been identified and marked then all those households that answered 'yes' in question 8 have been put in category 1. If you are sure, then all remaining households will be in category 2. Just like in category 1, put a mark (x) against all the remaining households in the column for category 2. Assign Sampling Serial Numbers, within each category, following where you put (x). The sampling serial numbers will sequentially be assigned, starting with '1' in each category. In addition assign serial numbers to 'NON CONTACT' and 'REFUSAL' households in the 'NON CONTACT/REFUSAL' column. NOTE: (a) The sum of the last sampling serial numbers in categories 1 and 2 must be equal to the total number of households that gave complete information during listing of the SEA. (b) The sum of the last serial numbers in the column for category 1,2 and non-contact/refusal must be equal to the last total number of households listed in the SEA. The next step is to select a Sample, and it is done as follows. A total of 15 households in each SEA will be selected. Seven (7) households will come from category 1 and 8 households will come from category 2. In cases where there are shortfalls in any category get the shortfall form the other category. The allocated number of sample households to each category will be selected independently using the following procedure: 1. Divide the total number of households listed in the category by the number of households to be selected (according to sample allocation) to give the Sampling Interval (SI). Calculate this to two (2) decimal places. 2. From the table of random numbers, get a random number (RS) between '1' and the SI, inclusive. The random number obtained will give the first household that will be in the sample. 3. Add the SI to the random number (RS), and the integer part of the sum will give the second household to be in the sample. 4. Continue with the procedure, adding SI to each successive sum until you have all the allocated sample size for the category. 5. Put a circle round each sampling serial number (column 11), in the listing book, corresponding to the numbers you have worked out for each category. The sampling serial numbers circled will indicate the households selected for the sample. 6. Transcribe onto the 'LIST OF SELECTED HOUSEHOLDS' sheet, now copying the household serial numbers (column 2) of the selected households. In category 1, households bearing sampling serial numbers 7, 15, 23,31, 39, 47 and 55 are selected. In category B, households bearing sampling serial numbers 3, 10, 18, 26, 34, 42, 50 and 58 are selected. For each of these households in the SEA, a detailed questionnaire will be administered. With the above sampling method, there will be no replacement for any household. The selected household must be interviewed. Face-to-face [f2f] The household questionnaire include Household roster, Education, Economic activities, Dwelling characteristics and household amenities, Household assets, Non-farm enterprise, Farm enterprise, Transfers and other income and subjective wealth, Weekly food consumption, Monthly food consumption, Annual non-food consumption, Mosquito nets, Malaria-related knowledge, attitude and practice (KAP), General & health-specific risk pereference, Time preference, Mental health, Health status and utilization, Health care satisfaction, Willingness-to-pay, Willingness-to-pay bid game, Malaria and anemia testing, Height and weight. The community questionnaire include Direct observation, Composition of interview, Demography, Access to basic services and community characteristics, Social capital and community empowerment, Health, Economic Activities, External Shocks, Prices. All questionnaires and modules are provided as external resources. To offset these limitations, the evaluation will include a household survey. A combined malaria indicator and socioeconomic household survey will be administered in randomly selected households in both the control and intervention districts prior to the intervention (baseline), and one year following the baseline survey (follow up). • The household survey modules will provide data on: household composition (age, gender, etc.), consumption, assets, education, labor supply, health seeking behavior, fever/malaria episode-related KAP, history of malaria within the household, treatment seeking behavior, WTP for anti-malarials, fever/malaria related expenditures, and opportunity costs of illness. • In addition, the survey will collect biomarker tests: parasite prevalence, hemoglobin, and anthropometry will be collected from all household residents. Upon consent from the household member or his/her guardian, parasite prevalence will be tested using rapid diagnostic test kits (RDTs). The procedure is mildly intrusive, whereby a small sample of blood is taken by standard finger-prick methods using a sterile lancet (the same sample will be used for hemoglobin assessment). Trained public health technicians will be responsible for all blood collections. All surveys will be performed according to the international guidelines for human experimentation in clinical research. Ethical clearance for the surveys will be obtained from the MOH prior to fielding the surveys. Complementary data will also be collected to track and understand the effect of potential confounders, and to, ideally, ensure lack of contamination between treatments and control groups, or, if unavoidable, to best mitigate these effects during the analytical work. Complementary data includes: i) monthly weather statistics; ii) community factors, including changes in behavior communication related to fever/malaria prevention and treatment, etc.; and iii) specialized agency consultations (MOH, NMCC, NRA, MLS, DHMT, etc.) to track/control for confounding interventions, such as introduction of new programs (e.g. additional preventive intervention ITNs, IRS etc. through other donors; changes in the regulatory regime, etc.) In addition to tracking operational progress and the impact of the interventions on the population, the study includes a rigorous costing and cost effectiveness component. The cost-effectiveness analysis will provide evidence on the relative costs and consequences of different interventions in order to assist in priority-setting and budget allocation. Costing will inform on accounting and economic costs of the interventions. Cost effectiveness will inform on the gross (incremental cost of intervention only) and net costs (incorporating potential cost savings as a result of the intervention, measured e.g. as cases averted, reduction in productivity loss, etc.) of the interventions. Jed Friedman and Edit Velenyi. The Zambia Access to ACT Initiative Survey 2009. Ref. ZMB_2009_ZAAI_v01_M. Dataset downloaded from <www.microdata.worldbank.org> on [date]. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. activity The file contains data related to section 3 of the household survey questionnaire (Economic activities). It also contains some of household identification information from cover page of the household survey questionnaire. 12133 30 anfood The file contains data related to section 8.3 of the household survey questionnaire (Annual Non-Food Consumption). It also contains some of household identification information from cover page of the household survey questionnaire. 17858 16 anthro The file contains data related to section 16.2 of the household survey anthropometrics and biomarkers questionnaire (Height and Weight). It also contains some of household identification information from cover page of the household survey questionnaire. 4190 18 assets The file contains data related to question (6.01) from section 6 of the household survey questionnaire (Household Assets). It also contains some of household identification information from cover page of the household survey questionnaire. 80349 15 biomark The file contains data related to section 16.3 of the household survey anthropometrics and biomarkers questionnaire (Malaria and Anemia Tests). It also contains some of household identification information from cover page of the household survey questionnaire. 4116 22 concent The file contains data related to section 16.3 of the household survey anthropometrics and biomarkers questionnaire (Malaria and Anemia Testing Consent Form). It also contains some of household identification information from cover page of the household survey questionnaire. 5947 20 edu The file contains data related to section 2 of the household survey questionnaire (Education). It also contains some of household identification information from cover page of the household survey questionnaire. 12288 26 farm The file contains data related to section 6.3 of the household survey questionnaire (Farm Enterprise). It also contains some of household identification information from cover page of the household survey questionnaire. 2974 62 house The file contains data related to section 5 of the household survey questionnaire (Dwelling Characteristics and Household Amenities). It also contains some of household identification information from cover page of the household survey questionnaire. 2975 40 id The file contains data related to cover page of the household survey questionnaire. 3000 56 idbio The file contains data related to cover page of the household survey anthropometrics and biomarkers questionnaire. 3000 52 lstock The file contains data related to question (6.10) from section 6 of the household survey questionnaire (Household Assets). It also contains some of household identification information from cover page of the household survey questionnaire. 44358 15 mental The file contains data related to section 11 of the household survey questionnaire (Mental Health). It also contains some of household identification information from cover page of the household survey questionnaire. 5142 38 mkap The file contains data related to section 8.5 of the household survey questionnaire (Malaria-related Knowledge, Attitude and Practice (KAP)). It also contains some of household identification information from cover page of the household survey questionnaire. 3000 30 mnfood The file contains data related to section 8.2 of the household survey questionnaire (Monthly Non-Food Consumption). It also contains some of household identification information from cover page of the household survey questionnaire. 26756 15 nets The file contains data related to questions (8.21) and (8.22) from section 8.4 of the household survey questionnaire (Mosquito Nets). It also contains some of household identification information from cover page of the household survey questionnaire. 9664 25 nonfarm The file contains data related to section 6.2 of the household survey questionnaire (Non-Farm Enterprise). It also contains some of household identification information from cover page of the household survey questionnaire. 678 43 prevent The file contains data related to section 10.2 of the household survey questionnaire (Malaria Prevention During Pregnancy). It also contains some of household identification information from cover page of the household survey questionnaire. 3108 43 riskpref The file contains data related to section 11.2 of the household survey questionnaire (General & Health-Specific Risk Preference). It also contains some of household identification information from cover page of the household survey questionnaire. 5184 31 roster The file contains data related to section 1 of the household survey questionnaire (Household Roster). It also contains some of household identification information from cover page of the household survey questionnaire. 15129 31 s6hasset The file contains data related to section 6 of the household survey questionnaire (Household Assets) except for questions (6.01) and (6.10). It also contains some of household identification information from cover page of the household survey questionnaire. 2977 25 s7htrans The file contains data related to section 7 of the household survey questionnaire (Transfers and Other Income and Subjective Wealth) except for question (7.01). It also contains some of household identification information from cover page of the household survey questionnaire. 2975 21 s10care The file contains data related to section 10.3 of the household survey questionnaire (Health Care Satisfaction). It also contains some of household identification information from cover page of the household survey questionnaire. 1167 56 s10health The file contains data related to section 10.1 of the household survey questionnaire (Health Status and Utilization for all household members >=12 years old). It also contains some of household identification information from cover page of the household survey questionnaire. 9032 102 s10mnets The file contains data related to section 8.4 of the household survey questionnaire (Mosquito Nets) except for questions (8.21) and (8.22). It also contains some of household identification information from cover page of the household survey questionnaire. 2856 64 s10prevent The file contains data related to section 10.2 of the household survey questionnaire (Malaria Prevention During Pregnancy). It also contains some of household identification information from cover page of the household survey questionnaire. 14466 37 s14care The file contains data related to section 14.2 of the household survey questionnaire (Health Care Satisfaction for mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month). It also contains some of household identification information from cover page of the household survey questionnaire. 933 55 s14health The file contains data related to section 14.1 of the household survey questionnaire (Health Status and Utilization for mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month). It also contains some of household identification information from cover page of the household survey questionnaire. 6400 113 timepref The file contains data related to section 11.3 of the household survey questionnaire (Time Preference (Financial Standard Gamble)). It also contains some of household identification information from cover page of the household survey questionnaire. 5106 18 trans The file contains data related to question (7.01) from section 7 of the household survey questionnaire (Transfers and Other Income and Subjective Wealth). It also contains some of household identification information from cover page of the household survey questionnaire. 35688 15 wfood The file contains data related to section 8.1 of the household survey questionnaire (Weekly Food Consumption). It also contains some of household identification information from cover page of the household survey questionnaire. 26682 17 wtp The file contains data related to section 11.4, 11.5 and 11.6 of the household survey questionnaire (Willingness-to-Pay (Base Questions), Willingness-to-Pay Bid Game and Willingness-to-Pay (HH Malaria Risk Profile)). It also contains some of household identification information from cover page of the household survey questionnaire. 2975 138 CA0 The file contains data related to cover page, section 1, 3, 4 (except for questions (4.13)-(4.22)), 5 (except for questions (5.01)-(5.03)), 6 (except for questions (6.10)-(6.16)), and 7 of the community survey questionnaire (Direct Observation, Demography, Access to Basic Services and Community Characteristics, Social Capital and Community Empowerment, Health, and Economic Activities). 191 227 CA2 The file contains data related to section 2 of the community survey questionnaire (Composition of Interview). It also contains some of identification information from cover page of the community survey questionnaire. 1389 20 CA5A The file contains data related to questions (5.01)-(5.03) from section 5 of the community survey questionnaire (Composition of Interview). It also contains some of identification information from cover page of the community survey questionnaire. 1877 14 CA6B The file contains data related to questions (6.10)-(6.16) from section 6 of the community survey questionnaire (Health). It also contains some of identification information from cover page of the community survey questionnaire. 556 23 CA8 The file contains data related to section 8 of the community survey questionnaire (External Shocks). It also contains some of identification information from cover page of the community survey questionnaire. 2348 15 CC4_01 The file contains data related to questions (4.13)-(4.20) from section 4 of the community survey questionnaire (Access to Basic Services and Community Characteristics). It also contains some of identification information from cover page of the community survey questionnaire. 1088 19 CC4_02 The file contains data related to questions (4.21)-(4.22) from section 4 of the community survey questionnaire (Access to Basic Services and Community Characteristics). It also contains some of identification information from cover page of the community survey questionnaire. 652 13 CC9A The file contains data related to questions (9.01) from section 9 of the community survey questionnaire (Prices). It also contains some of identification information from cover page of the community survey questionnaire. 203 22 CC9B The file contains data related to questions (9.02) from section 9 of the community survey questionnaire (Prices). It also contains some of identification information from cover page of the community survey questionnaire. 806 18 CC9C The file contains data related to questions (9.03) from section 9 of the community survey questionnaire (Prices). It also contains some of identification information from cover page of the community survey questionnaire. 548 17 Cluster id Cluster id Cluster id Cluster id Cluster id CLUSTER ID 3000 Household id Household id Household id Household id Household id HH ID 3000 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 3000 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 3000 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 405 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 3000 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 3000 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 3000 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 3000 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2999 1 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor name Supervisor name Supervisor name Supervisor name Supervisor name SUPERVISOR ID 2998 2 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR ID 2999 1 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2995 5 15 5.06 2.403 Household Long Number Household Long Number Household Long Number Household Long Number Household Long Number HH NUMBER 3000 Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban URBAN/RURAL 2999 1 1 Rural 2 Peri Urban Sysmiss Locality Name Locality Name Locality Name Locality Name Locality Name VILLAGE OR LOCALITY NAME 2997 Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code CHIEF/CHIEFTAINESS' AREA CODE 2952 48 Household Head Name Household Head Name Household Head Name Household Head Name Household Head Name NAME OF HEAD OF HOUSEHOLD 2998 Interviewer name (First visit) Interviewer name (First visit) Interviewer name (First visit) Interviewer name (First visit) Interviewer name (First visit) INTERVIEWER NAME Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 1777 1stVisit/Day 1stVisit/Day 1stVisit/Day 1stVisit/Day 1stVisit/Day DATE OF FIRST INTERVIEW. DAY. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 1stVisit/Month 1stVisit/Month 1stVisit/Month 1stVisit/Month 1stVisit/Month DATE OF FIRST INTERVIEW. MONTH. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 Year of first visit Year of first visit Year of first visit Year of first visit Year of first visit DATE OF FIRST INTERVIEW. YEAR. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 9 Year Interviewer name (Second visit) Interviewer name (Second visit) Interviewer name (Second visit) Interviewer name (Second visit) Interviewer name (Second visit) INTERVIEWER NAME Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 273 Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code INTERVIEWER CODE Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 750 2250 FinalVisit/Day FinalVisit/Day FinalVisit/Day FinalVisit/Day FinalVisit/Day DATE OF FINAL INTERVIEW. DAY. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 741 2259 FinalVisit/Month FinalVisit/Month FinalVisit/Month FinalVisit/Month FinalVisit/Month DATE OF FINAL INTERVIEW. MONTH. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 744 2256 Year of second/final visit Year of second/final visit Year of second/final visit Year of second/final visit Year of second/final visit DATE OF FINAL INTERVIEW. YEAR. Write your name against 'Interviewer's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate your name and the date of the second visit against 'Date of second interview',the same should be done if a household was visited three times. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 744 2256 9 Year Response status for book B1 Response status for book B1 Response status for book B1 Response status for book B1 Response status for book B1 RESULT OF INTERVIEW. SUMMARY for BOOKS 1 - 5. B1. Record the response status for the questionnaire by using the following codes:- 1 - Complete Response: i.e., the interview was successfully completed. 2 - Partially completed: i.e. the interview was not wholly completed. 3 - Refusal: i.e., the household refused to co-operate. 4 - Household moved out of SEA: i.e., the household established itself or settled somewhere else. If the household moved to another location within the SEA you will still cover the household. If the household moved to another CSA/SEA but is reachable, you will cover the household. 4 - Household member not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. 5 - Other (specify) - Any other response which can not fit in the above categories should be coded as '5' and write down the answer given. Circle the appropriate response status code and enter it in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 3000 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other FinalVisit/Result/B2A FinalVisit/Result/B2A FinalVisit/Result/B2A FinalVisit/Result/B2A FinalVisit/Result/B2A RESULT OF INTERVIEW. SUMMARY for BOOKS 1 - 5. B2A. Record the response status for the questionnaire by using the following codes:- 1 - Complete Response: i.e., the interview was successfully completed. 2 - Partially completed: i.e. the interview was not wholly completed. 3 - Refusal: i.e., the household refused to co-operate. 4 - Household moved out of SEA: i.e., the household established itself or settled somewhere else. If the household moved to another location within the SEA you will still cover the household. If the household moved to another CSA/SEA but is reachable, you will cover the household. 4 - Household member not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. 5 - Other (specify) - Any other response which can not fit in the above categories should be coded as '5' and write down the answer given. Circle the appropriate response status code and enter it in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 3000 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other FinalVisit/Result/B2B FinalVisit/Result/B2B FinalVisit/Result/B2B FinalVisit/Result/B2B FinalVisit/Result/B2B RESULT OF INTERVIEW. SUMMARY for BOOKS 1 - 5. B2B. Record the response status for the questionnaire by using the following codes:- 1 - Complete Response: i.e., the interview was successfully completed. 2 - Partially completed: i.e. the interview was not wholly completed. 3 - Refusal: i.e., the household refused to co-operate. 4 - Household moved out of SEA: i.e., the household established itself or settled somewhere else. If the household moved to another location within the SEA you will still cover the household. If the household moved to another CSA/SEA but is reachable, you will cover the household. 4 - Household member not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. 5 - Other (specify) - Any other response which can not fit in the above categories should be coded as '5' and write down the answer given. Circle the appropriate response status code and enter it in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 3000 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other FinalVisit/Result/B4 FinalVisit/Result/B4 FinalVisit/Result/B4 FinalVisit/Result/B4 FinalVisit/Result/B4 RESULT OF INTERVIEW. SUMMARY for BOOKS 1 - 5. B4. Record the response status for the questionnaire by using the following codes:- 1 - Complete Response: i.e., the interview was successfully completed. 2 - Partially completed: i.e. the interview was not wholly completed. 3 - Refusal: i.e., the household refused to co-operate. 4 - Household moved out of SEA: i.e., the household established itself or settled somewhere else. If the household moved to another location within the SEA you will still cover the household. If the household moved to another CSA/SEA but is reachable, you will cover the household. 4 - Household member not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. 5 - Other (specify) - Any other response which can not fit in the above categories should be coded as '5' and write down the answer given. Circle the appropriate response status code and enter it in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 3000 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other Response status for book B5 Response status for book B5 Response status for book B5 Response status for book B5 Response status for book B5 RESULT OF INTERVIEW. SUMMARY for BOOKS 1 - 5. B5. Record the response status for the questionnaire by using the following codes:- 1 - Complete Response: i.e., the interview was successfully completed. 2 - Partially completed: i.e. the interview was not wholly completed. 3 - Refusal: i.e., the household refused to co-operate. 4 - Household moved out of SEA: i.e., the household established itself or settled somewhere else. If the household moved to another location within the SEA you will still cover the household. If the household moved to another CSA/SEA but is reachable, you will cover the household. 4 - Household member not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. 5 - Other (specify) - Any other response which can not fit in the above categories should be coded as '5' and write down the answer given. Circle the appropriate response status code and enter it in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 3000 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other Language/Interview Language/Interview Language/Interview Language/Interview Language/Interview LANGUAGE OF THE INTERVIEW Enter the code of the language used for the interview in the box provided. 2980 20 1 English 2 Bemba 3 Kaonde 4 Lozi 5 Lunda 6 Luvale 7 Nyanja 8 Tonga 96 Other Sysmiss Respondent's language Respondent's language Respondent's language Respondent's language Respondent's language RESPONDENTS' LOCAL LANGUAGE Enter the code of the respondent's local language (mother tongue) in the box provided. 2980 20 1 English 2 Bemba 3 Kaonde 4 Lozi 5 Lunda 6 Luvale 7 Nyanja 8 Tonga 96 Other Sysmiss Translator used? Translator used? Translator used? Translator used? Translator used? TRANSLATOR USED Enter code '1' if a translator was not used at all during the interview, '2' if a translator was sometimes used during the interview and '3' if a translator was used throughout the interview. 2980 20 1 Never 2 Sometimes 3 Always Sysmiss At least one with fever/malaria At least one with fever/malaria At least one with fever/malaria At least one with fever/malaria At least one with fever/malaria AT LEAST ONE PERSON WITH FEVER/MALARIA IN THE PAST 1 MONTH Find out from the respondent if there is/was any household member who has/had fever or malaria in the past one month. Recode code '1' if the response is yes and '2' if the response is no in the box provided. 2983 17 1 Yes 2 No Sysmiss Pop representative household? Pop representative household? Pop representative household? Pop representative household? Pop representative household? POPULATION REPRESENTATIVE RANDOM HOUSEHOLD 2983 17 1 Yes 2 No Sysmiss Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code DATA ENTRY SUPERVISOR NAME/ID Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 1 Liseteli Ndiyoi Supervisor/Day Supervisor/Day Supervisor/Day Supervisor/Day Supervisor/Day SUPERVISOR. DAY. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 Supervisor/Month Supervisor/Month Supervisor/Month Supervisor/Month Supervisor/Month SUPERVISOR. MONTH. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 Supervisor/Year Supervisor/Year Supervisor/Year Supervisor/Year Supervisor/Year SUPERVISOR. YEAR. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 3000 Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day DATA ENTRY OPERATOR. DAY. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2999 1 Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month DATA ENTRY OPERATOR. MONTH. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2999 1 Data Entry Operator/ Year Data Entry Operator/ Year Data Entry Operator/ Year Data Entry Operator/ Year Data Entry Operator/ Year DATA ENTRY OPERATOR. YEAR. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2996 4 Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day DATA ENTRY SUPERVISOR. DAY. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2904 96 Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month DATA ENTRY SUPERVISOR. MONTH. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2905 95 Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year DATA ENTRY SUPERVISOR. YEAR. This space should also be left black for the Data Entry Operator and Data Entry Supervisor respectively. 2900 100 Date of data entry Date of data entry Date of data entry Date of data entry Date of data entry 3000 Date of data entry Date of data entry Date of data entry Date of data entry Date of data entry 3000 Date checked by Data Entry Supervisor Date checked by Data Entry Supervisor Date checked by Data Entry Supervisor Date checked by Data Entry Supervisor Date checked by Data Entry Supervisor 3000 Longitude Longitude Longitude Longitude Longitude GPS COORDINATES OF HOUSEHOLD. LONGITUDE. 2993 7 28.61 33.535 31.499 1.562 Latitude Latitude Latitude Latitude Latitude GPS COORDINATES OF HOUSEHOLD. LATITUDE. 2993 7 -14.908 -9.903 -11.884 1.629 Altitude Altitude Altitude Altitude Altitude GPS COORDINATES OF HOUSEHOLD. ALTITUDE (METERS). 2337 663 12 8677 1002.937 337.032 Interviewer code Interviewer code Interviewer code Interviewer code Interviewer code 2650 350 2978 22 2984 16 2985 15 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 15129 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 15129 Person ID Person ID Person ID Person ID Person ID ID CODE Make sure that only members of the household are included in the interview. Use the definition from the manual. A household member is: 1. Any individual who in the last 12 months has lived with the household for at least six months regardless of whether they have intentions to stay or not; 2. An individual attending school away from home; 3. Newly born babies; 4. Individuals who are newly wedded-in; 5. Individuals who have stayed for less than six months but have come to stay with the household. A non-household member is: 1. An individual who may have left the household with no intention of rejoining the household; 2. Individuals who are married away; 3. All other household who do not meet the criteria for household membership. All household members. 15105 24 Person Name Person Name Person Name Person Name Person Name NAME LIST THE NAMES AND SURNAMES OF ALL PERSONS LIVING IN THIS HOUSEHOLD. START THE LIST WITH THE HEAD OF THE HOUSEHOLD. ASSURE ONLY INCLUDING HOUSEHOLD MEMBERS FOR THE INTERVIEW. USE THE DEFINITION FROM THE MANUAL. List the names of all usual members of the household. Write in block letters starting with the head of the household. Ensure that you start with their family or surnames first. All household members. 15077 Sex Sex Sex Sex Sex GENDER Record the sex of each household member. If you can tell the sex of a person you are talking about you should record the response without asking. If you are in doubt about the person's sex who may not be present at the time of the interview, ask for the sex of that person. Record code '1' if the response is male and '2' if the response is female. All household members. 15077 52 1 Male 2 Female 3 Sysmiss Relation to Household Head Relation to Household Head Relation to Household Head Relation to Household Head Relation to Household Head What is ....'s relationship to the head of the household? This question seeks to find out the household member's retionship to the household head. In most cases, members of the household are related in one way or another. The emphasis rests on how each member of the household is related to the head of the household. A list of upto 14 different relationship to the household head is provided in the questionnaire. Record the appropriate response code in the space provided. Their may be need to probe further to ascertain the exact relationship, e.g., to differentiate between step son / daughter and own son / daughter. All household members. 15079 50 1 HEAD OF HOUSEHOLD 2 SPOUSE (WIFE/HUSBAND) 3 OWN SON / DAUGHTER 4 STEP SON/DAUGHTER 5 SON/DAUGHTER IN-LAW 6 GRANDCHILD 7 BROTHER/SISTER 8 PARENT 9 PARENT-IN-LAW 10 NIECE/NEPHEW 11 OTHER RELATIVE 12 DOMESTIC HELP 13 OTHER NON-RELATIVE 14 CO-WIFE 96 Other Sysmiss Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 15110 19 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 15079 50 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 15079 50 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 15078 51 107 20.503 18.305 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 10355 4774 -78 99 5.286 4.446 Marital Status Marital Status Marital Status Marital Status Marital Status What is ....'s present marital status? If answer is 1,5 or 6 > Go to 1.15 (a1_15 - variable name in dataset). The question is only intended for adult members of the household aged 12 years or older. Do not ask for household members who are less than 12 years. If the answer is single, probe further to ascertain if the person has never married or whether he/she is widowed, separated or divorced. All household members. 8962 6167 1 Never Married 2 Monogamously Married 3 Polygamoulsy Married 4 Civil Union 5 Divorced/Separated 6 Widowed 10 11 22 37 48 62 96 Other Sysmiss Spouse 1 Code Spouse 1 Code Spouse 1 Code Spouse 1 Code Spouse 1 Code SPOUSE'S ID CODE IF SPOUSE IS NOT A HOUSE-HOLD MEMBER, CODE 98. LIST IN ORDER OF RANK. Enter the ID code of the spouse/s for the particular household member. There are upto three ID codes in ID1, ID2 and ID3 to cater for polygamous households. If the spouse is not a member of the household enter 98. This question is only targeted at household members that are 12 years and above. All household members. 4692 10437 Spouse 2 Code Spouse 2 Code Spouse 2 Code Spouse 2 Code Spouse 2 Code SPOUSE'S ID CODE IF SPOUSE IS NOT A HOUSE-HOLD MEMBER, CODE 98. LIST IN ORDER OF RANK. Enter the ID code of the spouse/s for the particular household member. There are upto three ID codes in ID1, ID2 and ID3 to cater for polygamous households. If the spouse is not a member of the household enter 98. This question is only targeted at household members that are 12 years and above. All household members. 132 14997 Spouse 3 Code Spouse 3 Code Spouse 3 Code Spouse 3 Code Spouse 3 Code SPOUSE'S ID CODE IF SPOUSE IS NOT A HOUSE-HOLD MEMBER, CODE 98. LIST IN ORDER OF RANK. Enter the ID code of the spouse/s for the particular household member. There are upto three ID codes in ID1, ID2 and ID3 to cater for polygamous households. If the spouse is not a member of the household enter 98. This question is only targeted at household members that are 12 years and above. All household members. 15 15114 Father's Code Father's Code Father's Code Father's Code Father's Code FATHER'S ID CODE IF FATHER IS NOT A HOUSE-HOLD MEMBER, CODE 98. IF FATHER IS DEAD, CODE 99. IF DON'T KNOW, CODE 97. Verify the name of the biological father of the household member and enter the ID code of the member's biological father (biological means the man who gave birth to the child). In many cultures, people consider other people's children whom they are raising as their own, especially children of their spouses, sisters, brothers or other close relations. So you should be certain that the respondent understands that you are talking about the household member's biological other. If the father is not a household member enter code 98 and if the father is dead enter code 99. All household members. 15079 50 97 DK 98 Father not a Household Member 99 Father Deceased Mother's Code Mother's Code Mother's Code Mother's Code Mother's Code MOTHER'S ID CODE IF MOTHER IS NOT A HOUSE-HOLD MEMBER, CODE 98. IF MOTHER IS DEAD, CODE 99. IF DON'T KNOW, CODE 97. Just like in the previous question, verify the name of the biological mother of the household member and enter the biological mother's ID code in this column. If the biological mother of the household member is not a household member enter code 98 and if she is deceased, enter code 99. If the respondent does not know whether the member's biological mother is alive, enter code 97. All household members. 15079 50 97 DK 98 Mother not a Household Member 99 Mother Deceased Person's Religion Person's Religion Person's Religion Person's Religion Person's Religion What is ....'s religion? Find out which religion each household member belongs to. There are five possible answers: None - means the member does not belong to any religion. Catholic - A member belongs to the Roman catholic church. Protestant - These Christian churches that broke away from the Catholic church, examples are the united church of Zambia, presbetyrian church, Pentecostal churches, RCZ etc. Islam/muslim religion - a monotheistic religion based on the word of Allah as revealed to muhammed during the 7th century. Traditional - These are all churches that believe in worshipping the creator through ancestors. For instance, Zion, Mutumwa Chipangano e.t.c. Other Christian churches - These are all other Christian churches that do not fall in the categories given above e.g Jevoha's witnesses, the mormons (Jesus Christ of latter day saints), Evangelical church. All household members. 15066 63 1 NONE 2 CATHOLIC 3 PROTESTANT 4 MUSLIM/ISLAM 5 TRADITIONAL 6 OTHER CHRISTIAN 96 OTHER, SPECIFY Sysmiss Away from Household (6 out of last 12 months) Away from Household (6 out of last 12 months) Away from Household (6 out of last 12 months) Away from Household (6 out of last 12 months) Away from Household (6 out of last 12 months) Has ...... been away from the household for more than 6 months in the last 12 months? If answer is 2 > Go to 2.01 (a2_01 - variable name in dataset). Find out from the respondent if any member of the household has been away from the household for more than six months in the last 12 months. Recode '1' if the answer is yes and if the answer is no recode '2' and skip to Q 2.01. If a household member is less than 1 year old, skip to Q 2.01. All household members. 14999 130 1 Yes 2 No 3 5 6 Sysmiss Away from Household (months) Away from Household (months) Away from Household (months) Away from Household (months) Away from Household (months) For how many months during the past 12 months has ….. been away? This question will be asked to all members who have been away for more than 6 months in the last 12 months. Find out how many months they have been away. Make sure that the answer given is greater or equal to 6 months and less or equal to 12 months. All household members. 50 15079 2 24 8.52 3.576 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 15079 50 -985 1837 21.604 41.684 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 15129 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 15129 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 15129 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 15129 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 15129 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 15129 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 15128 1 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 15123 6 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 15124 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 15124 5 15 6.197 2.408 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 12288 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 12288 Person ID Person ID Person ID Person ID Person ID ID CODE 12288 Mother Tongue Mother Tongue Mother Tongue Mother Tongue Mother Tongue What is ....'s mother tongue? This question aims at finding out the language that was first learned by each member of the household. Find out from the respondent the mother tongue of each household member. Record the appropriate code in the space provided. All HH members 5 years and older. 12277 11 1 English 2 Bemba 3 Kaonde 4 Lozi 5 Lunda 6 Luvale 7 Nyanja 8 Tonga 9 96 Other Sysmiss Can write and read Can write and read Can write and read Can write and read Can write and read Can ...... Read and write in any language? Find out whether each of the household members aged 5 years and above can read and write in any language. Record code '1' if the response is yes and if the response is no record code '2'. All HH members 5 years and older. 12221 67 1 Yes, can write/read 2 No, cannot write/read Sysmiss Currently in School Currently in School Currently in School Currently in School Currently in School Is ...... currently in school? If answer is 2 > Go to 2.05 (a2_05 - variable name in dataset). Be cautious when asking this question to persons who seem obviously not to be attending school. Attending school is taken to mean that the person attends school as a full time or part time student i.e. in the formal school system. For example: Students attending vocational training including teacher training should be considered as attending school. Students at colleges and Universities. Persons attending night schools should be taken as attending school. Students/pupils at primary and secondary schools. People on unpaid or paid study leave to a formal educational institution. People engaged in correspondence studies with a correspondence school. All those who will be deemed to be attending school or college/university should be recorded under answer category '1'. All HH members 5 years and older. 12088 200 1 Yes, attending school 2 No, not attending school 3 5 6 8 Sysmiss Grade currently attending Grade currently attending Grade currently attending Grade currently attending Grade currently attending What grade / level is ...... currently attending? FOR CLASSES IN PRIMARY & SECONDARY SCHOOL, WRITE CLASS NUMBER. Go to next section. Now that you have established that …….. is currently attending school, this question will assist in determining the grade/level of education …….is currently attending. Record the appropriate response code as provided in the table in question . Please refer to the table in question…. Note however, that college and University students have been assigned 'special' codes outside the standard grading system of the country's education system. For all respondents who answer this question, do not ask Q 2.05. Instead, go to Q 2.06. All HH members 5 years and older. 3946 8342 1 2 3 4 5 6 7 8 9 10 11 12 13 Grade 12 GCE (A-Level) 14 College 15 University-Post Graduate 16 Masters Degree 17 Doctoral Level 98 Primary Only Sysmiss Ever attended School Ever attended School Ever attended School Ever attended School Ever attended School Has ...... ever attended school? If answer is 2 > Go to next person/section. This question is to be asked to household members who answer '2' which is 'no' in question 2.04 above. If they are not currently attending school, this question would like to establish whether that household member has ever attended school in his/her lifetime. Find out from the respondent if the household member has ever attended school. Recode code '1' if the response is yes. If the response is no recode '2' and skip go to the next household member or otherwise go to the next section. All HH members 5 years and older. 8217 4071 1 Yes, attended school 2 No, never attended school 5 7 8 Sysmiss Highest Completed Grade Highest Completed Grade Highest Completed Grade Highest Completed Grade Highest Completed Grade What is the highest grade ...... has completed in school? FOR CLASSES IN PRIMARY & SECONDARY SCHOOL, WRITE CLASS NUMBER: Find out from the respondent what the highest grade or level each member of the household has completed. For those currently attending school, the highest grade/level completed is one which they fully completed. For example, a person that may be in grade 12 now has not completed grade 12. The highest grade completed is grade 11. All HH members 5 years and older. 5007 7281 1 2 3 4 5 6 7 8 9 10 11 12 13 Grade 12 GCE (A-Level) 14 College 15 University-Post Graduate 16 Masters Degree 17 Doctoral Level 98 Primary Only Sysmiss Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12273 15 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12270 18 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12270 18 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12269 19 107 24.673 17.758 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 7743 4545 -78 99 5.198 4.579 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 12270 18 -985 1837 25.867 44.196 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 12288 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 12288 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 12288 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 12288 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 12288 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 12288 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 12284 4 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/CODE 12282 6 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 12283 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 12283 5 1 15 6.204 2.445 Educ-Respondent ID Educ-Respondent ID Educ-Respondent ID Educ-Respondent ID Educ-Respondent ID RECORD ID OF RESPONDENT 12272 16 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 12133 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 12133 Person ID Person ID Person ID Person ID Person ID ID CODE All household members 5 years and older. 12126 7 Main Economic Activity Main Economic Activity Main Economic Activity Main Economic Activity Main Economic Activity What is ......'s main economic activity? If answer is 1, 2, 3 or 4 > Go to 3.03 (a3_03 - variable name in dataset). The main objective of this question is to find out what a person is engaged in currently. For example someone's main activity may be a student and while on school holidays this person finds temporary employment at the time of the survey, record them as full-time students. In cases where the respondent spent an equal amount of time on two activities, find out which one they regard as their main activity. 01Wage employment: This refers to persons employed by someone on a fixed monthly/weekly/daily wage/salary. Students on school holidays who manage to find jobs and might be working during the reference period are to be recorded as full-time students and not as working. All persons who get paid partly in cash and in kind are included in this category (e.g. hotel workers and farm labourers). 02Own business / self employed: This refers to persons who are running their own business such as marketers, hawkers, cobblers, timsmiths, grocery store owners, bar/bottle store operators, e.t.c. Included in this group are two or more persons running a business on partnership basis, and street vendors. Call boys at bus stations (ng'wang'wazis or kusogolo boys) and those who carry people's shopping from shops like mealie meal carriers are also classified as self employed as long as this is their main economic activity. 03Farming, fishing and forestry (agriculture): Included in this category are farmers who till and manage their own farms, with or without the help of from other persons. Make sure all the small scale and subsistence farmers are included in this category. The current working status of all persons in agricultural and allied activities will be determined as follows:- Agriculture: growing crops, fruits and vegetables, raising of poultry and livestock and fish farming. Forestry: collecting or cutting wood, charcoal burning, gathering of honey and bee wax from trees, gathering of mushrooms, caterpillars, collecting wild fruits for sale e.t.c. 04Piecework: This is work that is paid according to the quantity produced or according to agreement between the worker and the employer. It is usually on a short term basis. 05Unpaid family worker: These are persons who normally assist in family business or farm but do not receive any pay or profit for the work so performed. 06 Not working but looking for work / means to do business: This refers to persons who are currently seeking jobs or means to do business. This includes persons who have:- registered at various labour offices/recruitment centers, e.t.c; gone to see possible employers to ask for jobs; written/applied for jobs asked friends, relatives, neighbours, e.t.c to help them find a job; sat for interviews and are awaiting letters of offer; made an effort to start a business e.g opening a market stall, clearing a piece of land for agricultural activity, e.t.c. If a person did not do any of the things above but only wished to get a job or business without actually trying to find a job or means to do business then do not classify that person as looking for work but include him/her in the answer category below. 07Not working and not looking for work/means to do business but available for work: Refers to a person who wishes to get a job or is interested in getting a job or means to do business but has not made any practical effort to get a job or means to do business. Included in this category are those persons who;- are not sure thare is any job available imagine they are not qualified or that there is no suitable vacancies for them are not looking for work but are very much interested in working. They may not be looking for work due to temporary reasons such as illness Those persons who are not working and not looking for work because they are full-time housewives or students or for any reasons should be classified in their rightful categories. 08Full-time students: This refers to all persons whose main current activity is full-time students/pupils even if they may be engaged in some work for pay or profit at the time of the survey. Make sure you exclude students on paid study leave. These are to be classified as working (the ones on paid study leave). 09Housewife/homemaker: These are persons who devote most of their time to looking after their own household/families/children. Homemakers who are subsistence farmers should be regarded as farmers. 10Retired: These are persons who retired and are depending mainly on pension or retirement benefits. If a retired person is engaged in any job or business for a pay or profit or is doing some subsistence farming then he/she is to be regarded as in wage employment or farming as the case may be. 11Too old/young to work: This refers to persons who say they are too old/young to work. 12Too sick to work: Refers to persons who cannot work due to any type of sickness including mental illness. 96Other (specify): This category includes all those persons that cannot be fitted in any of the obove categories. In this case enter code 96 and specify the activity the person is mainly engaged in. All household members 5 years and older. 12121 12 1 Wage Employment 2 Own Business/Self Employed 3 Agriculture 4 Piecework 5 Unpaid Family worker 6 Looking for work 7 Capable but not looking 8 Full time student 9 Homemaker 10 Retired 11 Too old to work 12 Too sick to work 26 96 Other Sysmiss Activity (Last 12 Months) Activity (Last 12 Months) Activity (Last 12 Months) Activity (Last 12 Months) Activity (Last 12 Months) In the last 12 months, did ...... do anything to earn income or help the family earn income? If answer is 2 > Go to next section. This question is in reference to the last 12 months. Find out from the respondent if any household member was engaged in any activity that earned him/her money or helped the family earn money. If the response is yes enter '1' and '2' if the response is no and go to the next section. All household members 5 years and older. 7315 4818 1 Yes, did work 2 No, did not work 3 4 5 6 8 12 100000 101000 12800000 Sysmiss Industry of Activity Industry of Activity Industry of Activity Industry of Activity Industry of Activity Which main INDUSTRY of economic activity is ...... engaged in? This question refers to the kind of business or service (industry) carried out at his/her workplace. The type of product or service that is produced will depend upon the industry or type of job a person is employed in. EXAMPLE: A carpenter may work in:- A furniture workshop Building construction company Zambia railways The industry will be:- Furniture manufacturing Construction Transport There is a list of 17 possible answers. Record the appropriate response code in the space provided. If the response given cannot be fitted in any answer categories, record 98 and specify the answer given. All household members 5 years and older. 5289 6844 1 Farming/Herding 2 Forestry/Charcoal 3 Fishing 4 Mining 5 Manufacturing 6 Electricity/Water 7 Construction 8 Wholesale/Retail Trade 9 Hospitality 10 Transport 11 Financial Services 12 Real Estate 14 Government 15 Education 16 Health/Social Work 17 Community Organization 96 Other Sysmiss Primary Work/Description Primary Work/Description Primary Work/Description Primary Work/Description Primary Work/Description Who does ...... work for at his/her primary work? (SECTOR OF EMPLOYER) IN CASE OF MORE THAN ONE ACTIVITY, PRIMARY WORK CONSUMED THE MOST TIME. This question is intended to identify the sector within which the business or enterprise the household member works, falls. Primary work comes in, in cases where the household member is egaged in more than one economic activity. Primary work is the economic activity which consumes most of the person's time. Pre-coded answer categories of various sectors are provided. All household members 5 years and older. 5248 6885 1 SELF-EMPLOYED 2 FAMILY ENTERPRISE 3 PRIVATE SECTOR EMPLOYEE 4 PUBLIC SECTOR EMPLOYEE 5 NGO EMPLOYEE 6 PRIVATE SECTOR 7 NGO EMPLOYEE 8 DAY LABORER 23 96 OTHER (SPECIFY) Sysmiss Central government: is generally composed of government departments or ministries. This includes government fundend schools, clinics, health centers e.t.c. Local government: The local government comprises District Councils. This sector includes commercial activites operated by the councils like Nyika Motel in Petauke District. The Ministry of Local government and its departments, however, belong to the central government. Parastatal/State owned firm:These are establishments in which the government has a controlling interest. Some of these parastatal companies are partly owned by private individuals although the government owns at least 51% shares. Other parastatals are wholly owned by the government e.g. ZESCO,ZSIC, ZAMTEL. Private:These are profit-making organizations owned by private individuals or a group of individuals. Profits of the private organizations go to owners. NGOs: These are non-profit making institutions that provide goods and/or services free of charge or at prices that are not economically significant. Included in this sector are charities, relief and aid organizations like the red cross. Others are trade unions, professional associations, consumer associations, political parties, social, cultural recreational ans sport clubs. International Organisations: Examples of these are United Nations, International Labour Organisations, ILO, JICA,DANIDA e.t.c. Household: This refers to a business or enterprise that is owned by members or a member of the household. Primary Work/Earnings Amount Primary Work/Earnings Amount Primary Work/Earnings Amount Primary Work/Earnings Amount Primary Work/Earnings Amount How much does ...... normally earn in his/her primary work? RECORD AMOUNT Find out from the respondent how much the household member earns in his/her primary work. Record the amount in kwacha in the amount column. All household members 5 years and older. 4762 7371 250000041 492359.875 4755779.292 Primary Work/Earnings Period Primary Work/Earnings Period Primary Work/Earnings Period Primary Work/Earnings Period Primary Work/Earnings Period How much does ...... normally earn in his/her primary work? PER Also find out how frequent/often the household member receives this amount. Five possible codes are given in the questionnaire enter the appropriate code in the period column. All household members 5 years and older. 3451 8682 1 Day 2 Week 3 Every two weeks 4 Month 5 Year 6 7 8 9 12 22 32 51 72 82 Sysmiss Primary Work/Time Last 12 months Primary Work/Time Last 12 months Primary Work/Time Last 12 months Primary Work/Time Last 12 months Primary Work/Time Last 12 months During the last 12 months, how many months did ...... do this primary work to earn income or help the family earn income? This question aims to find out if the household member has been working throughout the last 12 months or worked for some months in the last 12 months. Find out from the respondent how many months in the last 12 months the household member was engaged in the primary work to earn income or help the household earn income. All household members 5 years and older. 5122 7011 24 7.201 3.113 Secondary Activity Secondary Activity Secondary Activity Secondary Activity Secondary Activity In addition to this primary work, did ...... do any other (i.e. secondary) activity to earn income or help the family earn income in the last 12 months? If answer is 2 > Go to next section. Find out if in the past 12 months, the household member was engaged in any other activity to earn income or help the family earn income, apart from the primary activity. All household members 5 years and older. 5182 6951 1 Yes 2 No 4 5 Sysmiss Secondary Activity/Earnings Amount Secondary Activity/Earnings Amount Secondary Activity/Earnings Amount Secondary Activity/Earnings Amount Secondary Activity/Earnings Amount How much does ...... normally earn in ......'s secondary work? RECORD AMOUNT Find out from the respondent how much the household member earns in his/her secondary work. Record the amount in kwacha in the amount column. All household members 5 years and older. 636 11497 -100000000 20000000 -3028010.981 18417553.837 Secondary Activity/Earnings Period Secondary Activity/Earnings Period Secondary Activity/Earnings Period Secondary Activity/Earnings Period Secondary Activity/Earnings Period How much does ...... normally earn in ......'s secondary work? PER Also find out how frequent/often the household member receives this amount. Five possible codes are given in the questionnaire enter the appropriate code in the period column. All household members 5 years and older. 608 11525 1 Day 2 Week 3 Every two weeks 4 Month 5 Year 6 7 Sysmiss Secondary Activity/Time Last 12 months Secondary Activity/Time Last 12 months Secondary Activity/Time Last 12 months Secondary Activity/Time Last 12 months Secondary Activity/Time Last 12 months During the last 12 months, how many months did ...... do this secondary work to earn income or help the family earn income? Find out from the respondent how many months in the last 12 months the household member was engaged in the secondary work to earn income or help the household earn income. All household members 5 years and older. 599 11534 12 6.301 3.956 Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12115 18 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12112 21 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12112 21 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 12111 22 107 24.864 17.756 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 7628 4505 -78 99 5.19 4.591 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 12112 21 -985 1837 25.916 41.368 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 12133 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 12133 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 12133 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 12133 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 12133 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 12133 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 12130 3 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 12129 4 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 12128 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 12123 10 1 15 6.201 2.447 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2975 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2975 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID RECORD ID OF RESPONDENT 2975 Type of Dweliing Type of Dweliing Type of Dweliing Type of Dweliing Type of Dweliing INTERVIEWER: OBSERVE THE TYPE OF DWELLING THE HOUSEHOLD LIVES IN The main aim of this question is to find out exactly the type of dwelling the household lives in. The materials and outlook of the dwelling matters. E.g. most traditional huts are constructed using mud, dagga, poles, reeds, grass and have a roof with a hut shape. 2974 1 1 Traditional hut 2 Detached house 3 Attached to / on top of shop, etc 4 Semi-detached house 5 Servant quarters 6 Guest House/Wing 7 Flat/Appartment/Multi-unit 8 Hostel 9 Non-Residential Building (e.g. School, classroom, etc) 10 Unconventional (e.g. Kantemba storage, container) 96 Other Sysmiss Traditional Hut: Traditional hut is the type of housing found in the rural Zambia. It is made of mud around the walls and the roof is usually thatched. Even if it is found in urban area, it should be recorded as traditional hut. Improved Traditional House: This is the type of housing also common in the rural areas but has been improved by the materials used for either the walls and/or the roofing. Some of these huts may have red brick or burnt brick walling and in some cases asbestos or even iron sheets on the roof. In all respect, theyare traditional huts but have a relevant improvement that sets them apart from typical traditional huts. Detached house: This is usually a housing structure that is split into tow or more housing units. Each housing unit is independently detached from the other and stands on it's own. It is structurally separated part of the permanent building by the wqay it is built, rebuilt or converted. House attached to/on top of shop: This is a living quarter that is part of a commercial building. Semi detached house: This is a housing structure that is split into two or more housing units. The separate housing unit usually has a set of rooms and its accessories are not independently defined from the permanent structure and are separated by a wall. Servant quarters: This is a housing structure that is separate from the main house. The separate housing unit has a room or set of rooms and it's accessories in a permanent structure. It is a private housing unit usually meant for the house servant or maid to live in. Sometimes, a servant quarter may be rented out to a private individual/family. Guest house/wing:This is a housing structure that is separated from/or part of the main house. The separate housing unit has a room or a set of rooms and its accessories in a permanent structure. It is a private housing unit, which is kept for visitors to stay and have meals. Flat/Apartment/Multi-unit: This is a housing structure that has a set of rooms and its accessories in a permanent building. It can also be a structurally permanent building by the way it is built, rebuilt or converted having several housing units. Main Material/Walls Main Material/Walls Main Material/Walls Main Material/Walls Main Material/Walls OBSERVE MAIN MATERIAL USED FOR: WALLS This question is important in assessing the quality of the main dwelling the household lives in. There are various types of materials used for roof, walls and floor. In some cases, you may need to ask the respondent what material their wall, roof or floor is made of if you are not able to see them. Be observant. 2974 1 1 Bricks or blocks 2 Asbestors 3 Corrugated iron/metal 4 Plastic 5 Poles/Reed 6 Tiles/Slates 7 Thatch / Grass 8 Wood / Bamboo 9 Earth / Mould 10 Concrete only 11 Covered concrete 12 Cardboard 96 Other Sysmiss Pan brick: These are made from clay and molded into a shape of a brick and baked under intense heat, industrially Burnt brick: bricks made from mud. They are usually then put on fires under intense heat so as to harden. Mud brick: brick made of mud and sun dried. Concrete brick or block: This is a mixture of crushed stones, river sand and cement, with the right amount of water. It is molded into the shape of a brick. Pole: these are walls made from a stack of wooden poles assembled around a structure. Pole and dagga: these are walls made from a stack of wooden poles assembled around a structure. Smearing dagga or mud between the poles usually reinforces them. Mud: these are walls made by heaping mud piles on top of each other until the desired structure is achieved. Grass/straw: these are wall made by thatching straw or grass around the structure in order to create a desired enclosure. Iron sheets: these are walls made from flattened iron sheets erected around the structure. Main Material/Rooftop Main Material/Rooftop Main Material/Rooftop Main Material/Rooftop Main Material/Rooftop OBSERVE MAIN MATERIAL USED FOR: ROOFTOP This question is important in assessing the quality of the main dwelling the household lives in. There are various types of materials used for roof, walls and floor. In some cases, you may need to ask the respondent what material their wall, roof or floor is made of if you are not able to see them. Be observant. 2974 1 1 Bricks or blocks 2 Asbestors 3 Corrugated iron/metal 4 Plastic 5 Poles/Reed 6 Tiles/Slates 7 Thatch / Grass 8 Wood / Bamboo 9 Earth / Mould 10 Concrete only 11 Covered concrete 12 Cardboard 96 Other Sysmiss Asbestos sheets: these are roofing sheets that are made from a soft, grey, mineral that are used as a building material. When made into solid sheets they become good protection or insulation against fire and heat. Tiles: these may be made from asbestos, concrete, wood, etc. Iron sheets: usually galvanized iron sheets or can be corrugated. These are the lightest roofing materials and can be obtained in length from 1.2 meters to 3.6 meters. Large lengths can be obtained on specific order. They can also be used on walls when flat. Concrete: This is a kind of roof made from strong tangible solid material made out of cement, sand, gravel etc. Grass/Straw/Thatch: a traditional roofing material that works well at angles of 35 degree and more with thatch thickness of 12 centimeters to 15 centimeters. The thatch thickness increases with the decline in angle. Main Material/Floor Main Material/Floor Main Material/Floor Main Material/Floor Main Material/Floor OBSERVE MAIN MATERIAL USED FOR: FLOOR This question is important in assessing the quality of the main dwelling the household lives in. There are various types of materials used for roof, walls and floor. In some cases, you may need to ask the respondent what material their wall, roof or floor is made of if you are not able to see them. Be observant. 2974 1 1 Bricks or blocks 2 Asbestors 3 Corrugated iron/metal 4 Plastic 5 Poles/Reed 6 Tiles/Slates 7 Thatch / Grass 8 Wood / Bamboo 9 Earth / Mould 10 Concrete only 11 Covered concrete 12 Cardboard 96 Other Sysmiss Housing Ownership Status Housing Ownership Status Housing Ownership Status Housing Ownership Status Housing Ownership Status What is the ownership status of your house? Find out whether the household lives in housing they own (owner occupied), or rented, or is free housing. If rented or free housing- record from whom. If the dwelling is owned by the household or it is free housing, skip to Q 5.05. 2974 1 1 Owner occupied dwelling 2 Rented from local Govt. (District council) 3 Rented from central Govenment 4 Rented from Private company 5 Rented from Parastatal (e.g. ZSIC, NAPSA, NHA, ZIMCO) 6 Rented from individual 7 Borrowed dwelling 8 House ownedand provided by employer (Govt) 9 House owned and provided free by employer (private) 10 Other free housing 96 Other Sysmiss Rent/Amount Rent/Amount Rent/Amount Rent/Amount Rent/Amount How much rent are you charged? KWACHA Find out from the respondent how much they are charged and record the amount in kwcha in the box provided. 86 2889 500000 86808.14 111278.51 Rent/Period Rent/Period Rent/Period Rent/Period Rent/Period How much rent are you charged? PAY PERIOD Also find out how frequent/often the household is charged rent. Record the appropriate frequency code in the box provided. If the household pays rent, skip to Q5 5.07. 78 2897 1 Monthly 2 Every 3 months 3 Every 6 months 4 Annually 96 Other Sysmiss Estimated Dwelling Value/Selling Estimated Dwelling Value/Selling Estimated Dwelling Value/Selling Estimated Dwelling Value/Selling Estimated Dwelling Value/Selling If you were to sell this dwelling today, how much would you receive for it? RECORD AMOUNT IN KWACHA. IF NO MARKET VALUE, RECORD "0" Comments. This question is aimed at getting the perception of the household members on the worth of the dwelling they are living in. Find out from the respondent how much he/she thinks the household would receive if the dwelling they live in were to be sold. Record the amount in kwacha in the box provided. If the dwelling has no market value, record '0'. 2716 259 200000000 1745535.57 7266290.521 Estimated Dwelling Value/Renting Amount Estimated Dwelling Value/Renting Amount Estimated Dwelling Value/Renting Amount Estimated Dwelling Value/Renting Amount Estimated Dwelling Value/Renting Amount If you rented this dwelling, how much rent would you receive per month? KWACHA Find out from the respondent how much they think they would receive per month if they had to rent out the dwelling. Record the amount in Zambian Kwacha in the box provided. If nothing record '0'. 2718 257 30000000 71581.45 643464.004 Estimated Dwelling Value/Renting Period Estimated Dwelling Value/Renting Period Estimated Dwelling Value/Renting Period Estimated Dwelling Value/Renting Period Estimated Dwelling Value/Renting Period If you rented this dwelling, how much rent would you receive per month? PAY PERIOD Find out from the respondent how much they think they would receive per month if they had to rent out the dwelling. Record the amount in Zambian Kwacha in the box provided. If nothing record '0'. 16 2959 1 Monthly 2 Every 3 months 3 Every 6 months 4 Annually 96 Other Sysmiss Rooms in Dweliing Rooms in Dweliing Rooms in Dweliing Rooms in Dweliing Rooms in Dweliing How many rooms does your household have (including rooms outside the main dwelling but excluding kitchen and bathrooms)? Find out the number of rooms a particular household has. Include rooms outside the main dwelling if they are used by the household but exlude bathrooms and toilets. For rural households, include all huts used by the households. 2974 1 1 10 2.789 1.329 Rooms in household used for sleeping Rooms in household used for sleeping Rooms in household used for sleeping Rooms in household used for sleeping Rooms in household used for sleeping How many rooms does your household use for sleeping (including rooms outside the main dwelling but excluding bathrooms)? Find out from the respondent how many rooms are used for sleeping. Include rooms ouside the main dwelling if used for sleeping by the household. The number of rooms used for sleeping should not exceed the number of rooms the household has. 2974 1 8 1.875 0.934 Household's main source of drinking water in dry season Household's main source of drinking water in dry season Household's main source of drinking water in dry season Household's main source of drinking water in dry season Household's main source of drinking water in dry season What is your household's main source of drinking water? DRY SEASON A protected well is one, which has a ring of concrete wall and/or is covered. A borehole differs from a well in that it is deeper and requires a pump to bring the water to the surface. Public tap refers to taps set up and meant to be used by several households such as the ones found in George compound, Misisi compound, etc. It does not include taps, which are built at a particular house and are used by neighbours and others. The latter should be recorded as 'Own tap'. 2974 1 1 Directly from the river/lake/dam 2 Unprotected well 3 Pumped (piped) from the river / lake / dam 4 Protected well 5 Borehole 6 Public tap 7 Own tap 8 Other tap (e.g. from nearby building) 9 Bought from water vendor 10 Mineral bottled water 11 Rain water 96 Other Sysmiss Household's main source of drinking water in rainy season Household's main source of drinking water in rainy season Household's main source of drinking water in rainy season Household's main source of drinking water in rainy season Household's main source of drinking water in rainy season What is your household's main source of drinking water? RAINY SEASON A protected well is one, which has a ring of concrete wall and/or is covered. A borehole differs from a well in that it is deeper and requires a pump to bring the water to the surface. Public tap refers to taps set up and meant to be used by several households such as the ones found in George compound, Misisi compound, etc. It does not include taps, which are built at a particular house and are used by neighbours and others. The latter should be recorded as 'Own tap'. 2972 3 1 Directly from the river/lake/dam 2 Unprotected well 3 Pumped (piped) from the river / lake / dam 4 Protected well 5 Borehole 6 Public tap 7 Own tap 8 Other tap (e.g. from nearby building) 9 Bought from water vendor 10 Mineral bottled water 11 Rain water 96 Other Sysmiss Distance of source from from the house in dry season Distance of source from from the house in dry season Distance of source from from the house in dry season Distance of source from from the house in dry season Distance of source from from the house in dry season How far is this source from the house? DRY SEASON. RECORD RESPONSE IN KILOMETERS. IF LESS THAN ONE KM, RECORD '00'. Note that the household could have many sources of drinking water, but here we are interested in the main source of drinking water. The household could be getting water for other uses from a source that is different from the source of drinking water, this question is interested in only the source of drinking water. find out the distance in kilometres (km) of the homestead from the main source of drinking water for the household during wet and dry season. If the main source of drinking water is less than 1 km record '0'. 2974 1 15 0.26 0.712 Distance of source from from the house in rainy season Distance of source from from the house in rainy season Distance of source from from the house in rainy season Distance of source from from the house in rainy season Distance of source from from the house in rainy season How far is this source from the house? RAINY SEASON. RECORD RESPONSE IN KILOMETERS. IF LESS THAN ONE KM, RECORD '00'. Note that the household could have many sources of drinking water, but here we are interested in the main source of drinking water. The household could be getting water for other uses from a source that is different from the source of drinking water, this question is interested in only the source of drinking water. find out the distance in kilometres (km) of the homestead from the main source of drinking water for the household during wet and dry season. If the main source of drinking water is less than 1 km record '0'. 2974 1 15 0.239 0.689 Treatment of drinking water in dry season Treatment of drinking water in dry season Treatment of drinking water in dry season Treatment of drinking water in dry season Treatment of drinking water in dry season How does your household treat your drinking water? DRY SEASON. Treat" means the treatment done by the household not by the public water system such as the council. It is well known that water from the public system is treated but the household does further treatment to ensure the safety of the water. If the household purchases safe drinking water from shops such as spring water, then the answer to be recorded is '4' 'Does not treat'. 2974 1 1 No treatment 2 Boil 3 Add chlorine 4 Iodine 5 Treated at the source 96 Other Sysmiss Treatment of drinking water in rainy season Treatment of drinking water in rainy season Treatment of drinking water in rainy season Treatment of drinking water in rainy season Treatment of drinking water in rainy season How does your household treat your drinking water? RAINY SEASON. Treat" means the treatment done by the household not by the public water system such as the council. It is well known that water from the public system is treated but the household does further treatment to ensure the safety of the water. If the household purchases safe drinking water from shops such as spring water, then the answer to be recorded is '4' 'Does not treat'. 2973 2 1 No treatment 2 Boil 3 Add chlorine 4 Iodine 5 Treated at the source 96 Other Sysmiss Type of toilet owned Type of toilet owned Type of toilet owned Type of toilet owned Type of toilet owned What is the main type of toilet facility for this household? This question is trying to establish the main source of toilet facility, the household uses. They might be using several toilet facilities but you have to record the main one. If a household do not have a toilet facility but used the bush like in the case of rural households, do not put bush as a facility. Bush is not a toilet facility. Therefore enter the code for 'none' for bush. 2974 1 1 Own flush toilet inside house 2 Own flush toilet outside house 3 Communal / shared flush toilet 4 Own pit latrine 5 Communal pit latrine 6 Neighbour's / another household's pit latrine 7 VIP latrine 8 Communal VIP latrine 9 None 96 Other Sysmiss Own flush toilet inside - This is where the flush toilet facility owned by the household is situated inside the house. Own flush toilet outside - This is where the flush toilet facility owned by the household is outside the house. Communal shared flush toilet outside - This is where the flush toilet facility is communally owned and is shared by nearby households. Own pit latrine - This is where the household uses its owns pit latrine Communal pit latrine -This is where the household does not have a pit latrine of its own but communally owns and shares the pit latrine with other nearby households e.g a flat of several households in garden compound renting from one landlord and sharing a single toilet facility. Neighbours/Other household pit latrine- This is where the household does not have a pit latrine of their own but uses the neighbours pit latrine. VIP latrine - This is a pit latrine with a pipe on the roof. The pipe is for ventilation, getting rid of smelly gases and trapping flies. Communal VIP latrine - This is as defined previously but it does not belong to one particular household instead it is for communal use by more than one household. Other - Any other apart from the ones given should fall under other and give a short description of what it is. None - This is where the household does not have a toilet facility of its own and maybe using the bush or the river. Number of other households sharing the toilet Number of other households sharing the toilet Number of other households sharing the toilet Number of other households sharing the toilet Number of other households sharing the toilet How many other households does your household share the toilet with? Find out from the respondent if the household shares the toilet facility with other households e.g. for communal toilets. How many other households share the toilet facility with the household. If the toilet is for the household, find out if the household shares the toilet facility with any household. 2971 4 Does not share 96 Does not have a toilet Disposal of household's refuse/rubbish Disposal of household's refuse/rubbish Disposal of household's refuse/rubbish Disposal of household's refuse/rubbish Disposal of household's refuse/rubbish How does your household dispose the rubish? Find out from the respondent the main method of garbage disposal. Enter the appropriate code in the box provided. 2974 1 1 Refuse collected 2 Pit 3 Bury 4 Burn 5 Nothing 96 Other Sysmiss Refuse collection - This is where the household enters into an arrangement where the garbage is collected on a regular basis. This is usually done by some private companies at a fee. Pit - This is where a pit is dug near the homestead and all domestic refuse is thrown there. Dumping - This is a situation where the garbage is piled or damped in a place usually not designated for disposal of waste materials. Burning - This is where the refuse is burned Other - Any other method apart from what has been already mentioned should be given this code and specify what the other method of disposal is. Household's main source of energy for lighting Household's main source of energy for lighting Household's main source of energy for lighting Household's main source of energy for lighting Household's main source of energy for lighting What is your household's main source of energy for lighting? This question is basically trying to establish what the household mainly uses for lighting when it's dark or at night. 2975 1 Kerosine/paraffin/gas/oil 2 Electricity 3 Candles 4 Diesel 5 Open fire 6 Torch 7 Solar panel 96 Other, specify Main source of energy for cooking Main source of energy for cooking Main source of energy for cooking Main source of energy for cooking Main source of energy for cooking What is your household's main source of energy for cooking? This question is trying to establish the main source of energy, the household uses for cooking. They might be using several types of energy but you have to record the main one. 2975 1 Kerosine/paraffin/gas stove 2 Electricity 3 Diesel 4 Firewood 5 Charcoal 6 Solar panel 96 Other, specify Household having electrictity Household having electrictity Household having electrictity Household having electrictity Household having electrictity Does your household have electricity? Find out from the respondent if the household has electricity. Enter '1' if the response is yes. if the response is no enter '2' and go to Q 4.19. 2975 1 Yes 2 No Number of hours per day for the household to normaly have el Number of hours per day for the household to normaly have el Number of hours per day for the household to normaly have el Number of hours per day for the household to normaly have el Number of hours per day for the household to normaly have el For how many hours per day does your household normally have electricity? RECORD NUMBER OF HOURS. IF NONE, RECORD '00'. Find out from the respondent how many hours in a day the household normally Enter '1' if the response is yes. if the response is no enter '2' and go to Q 4.19. 72 2903 24 20.681 7.369 Nearest body of water to the household Nearest body of water to the household Nearest body of water to the household Nearest body of water to the household Nearest body of water to the household What is the nearest body of water to your household? This question tries to establish the presence of a water body nearby which could be a breeding ground for mosquitoes, especially if the water is stagnant. Find out from the respondent if there is any body of water nearby. The body of water could be a river, lake swamp marsh pond e.t.c. If there is no body of water nearby enter '0' and go to the next section. 2878 97 None 1 Stream 2 River 3 Pond 4 lake 5 Swamp 6 Marsh 7 96 Sysmiss Distance of waterbody from the household Distance of waterbody from the household Distance of waterbody from the household Distance of waterbody from the household Distance of waterbody from the household How far from your household is this body of water? RECORD DISTANCE IN KM. IF LESS THAN < 100 METER, RECORD "00". Find out from the respondent the distance from the homestead to the nearest body of water mentioned in Q 5.19. Where the respondent is not clear ask other people who are knowledgeable or go there physically and estimate the distance. If less than 100 metres enter '00'. 2804 171 7 0.696 0.978 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2975 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2975 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2975 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2975 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2975 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2975 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2631 344 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2667 308 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2971 4 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1897 1078 1 30 5.1 2.577 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 80349 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 80349 Goods ID Goods ID Goods ID Goods ID Goods ID 80324 25 1 27 14 7.789 1 Radio/ CD/ cassette player 2 Television 3 Pressing iron (electric/non-electric) 4 Electric stove 5 Gas stove 6 Lamp 7 Improvised lamp (koloboi) 8 Bed 9 Mattress/ sleeping mat 10 Refrigerator/ freezer 11 Paraffin stove 12 Sewing machine 13 Table 14 Sofa 15 Land line telephone 16 Cellular Telephone 17 Motorcycle 18 Bicycle 19 Motor vehicle (truck or car) 20 Wheelbarrow 21 Boat 22 Tractor 23 Crop sprayer/ spraying machine 24 Irrigation equipment (water pumps etc) 25 Plough/ harrows 26 Hoes/ axes 27 Fishing net/ fishing equipment Sysmiss Goods Description Goods Description Goods Description Goods Description Goods Description 80324 Bed Bicycle Boat Cellular Telephone Crop sprayer / spray Electric stove Fishing net / fishin Gas stove Hoes / axes Improvised lamp (kol Irrigation equipment Lamp Land line telephone Mattress / sleeping Motor vehicle (truck Motorcycle Parafin stove Plough / harrows Pressing Iron (elect Radio / CD / cassett Refrigerator / freez Sewing machine Sofa Table (for dining) Television Tractor Wheelbarrow Goods Owned (QTY) Goods Owned (QTY) Goods Owned (QTY) Goods Owned (QTY) Goods Owned (QTY) How many …s does your household own? RECORD FUNCTIONING ONLY. RECORD "0" IF NONE. Record the total number of a specific asset owned by the household. 79752 597 25 0.367 1.068 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 80349 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 80349 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 80349 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 80349 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 80349 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 80349 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 80322 27 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 80321 28 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 80322 27 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 80344 5 15 5.081 2.39 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2977 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2977 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2977 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2977 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2977 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2977 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2977 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2977 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2632 345 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2669 308 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2973 4 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1898 1079 1 30 5.098 2.578 Household owns land of residence Household owns land of residence Household owns land of residence Household owns land of residence Household owns land of residence Does your household own the land for this residence? If answer is 2 > Go to 6.05 (a6_05 - variable name in dataset). Find out from the respondent if the land where the household is currently residing owned by the household. Enter code '1' if yes. and if no enter code '2' and skip to Q 6.04. 2977 1 Yes 2 No 96 Land of residence size (amount) Land of residence size (amount) Land of residence size (amount) Land of residence size (amount) Land of residence size (amount) What is the size of this land for the residence? Amount. RECORD UNIT AND AMOUNT This question is to be asked to households that agreed to owning land for their residence in Q 6.02. Find out from the respondent the size of land for the residence. Record the size and the corresponding units. Do not change anything just enter the size in whatever units given. Just be cautious to enter the units as well. 2544 433 22400 261.403 919.585 Land of residence size (unit) Land of residence size (unit) Land of residence size (unit) Land of residence size (unit) Land of residence size (unit) What is the size of this land for the residence? Unit. RECORD UNIT AND AMOUNT This question is to be asked to households that agreed to owning land for their residence in Q 6.02. Find out from the respondent the size of land for the residence. Record the size and the corresponding units. Do not change anything just enter the size in whatever units given. Just be cautious to enter the units as well. 2544 433 1 Lima 1.5 2 Acre 3 Hectare 4 Square Meters 6 14 Sysmiss Other land owned (not residence) Other land owned (not residence) Other land owned (not residence) Other land owned (not residence) Other land owned (not residence) Does your household own any other land? If answer is 2 > Go to 6.07 (a6_07 - variable name in dataset). Find out from if the household owns any ther land apart from the one given in Q 6.03. This could be land where the household caltivates or land that has been rented/borrowed out e.t.c. Enter code '1' if yes. and if no enter code '2' and skip to Q 6.06. 2976 1 1 Yes 2 No Sysmiss Other land owned size (amount) Other land owned size (amount) Other land owned size (amount) Other land owned size (amount) Other land owned size (amount) What is the size of your other land? Amount. RECORD UNIT AND AMOUNT This question is to be asked to households that agreed to owning other piece/s of land apart from land for their residence in Q 5.04. Find out from the respondent the size of land this extra land. Record the size and the corresponding units. Do not change anything just enter the size in whatever units given. Just be cautious to enter the units as well. 2364 613 -100 18000 20.818 482.285 Other land owned size (unit) Other land owned size (unit) Other land owned size (unit) Other land owned size (unit) Other land owned size (unit) What is the size of your other land? Unit. RECORD UNIT AND AMOUNT This question is to be asked to households that agreed to owning other piece/s of land apart from land for their residence in Q 5.04. Find out from the respondent the size of land this extra land. Record the size and the corresponding units. Do not change anything just enter the size in whatever units given. Just be cautious to enter the units as well. 2362 615 1 Lima 2 Acre 3 Hectare 4 Square Meters Sysmiss Land owned estimated cost Land owned estimated cost Land owned estimated cost Land owned estimated cost Land owned estimated cost IF ANSWER TO 6.03 (a6_03) or 6.05 (a6_05) IS "YES" THEN If you were to sell the total land you own, how much do you think you would receive for it? This question should be asked if the answer in Q 6.03 or Q 6.05 is yes. The aim is to get the perception of the household members on the worth of the piece/s of land owned by the household. This will include land for their dwelling as well as other pieces of land which the household may own. Find out from the respondent how much he/she thinks the household would receive if the piece/s of land they own were to be sold. Record the amount in kwacha in the box provided. If none record '0'. 2763 214 1500000000 6771170.828 41519764.762 Total size of cultivated land (amount) Total size of cultivated land (amount) Total size of cultivated land (amount) Total size of cultivated land (amount) Total size of cultivated land (amount) What is the total size of cultivated land during the past agricultural season? Amount. RECORD UNIT AND AMOUNT. If "0" > Go to 6.10 (a6_10 - variable name in dataset). The interviewer should take particular attention when asking this question and be very patient so that all the pieces of land cultivated are captured. The best way to go about this is to have a small sketch of the fields cultivated on the bottom of the page. The first step would be to find out the crops that were caltivated the season in question. Then find out in how many fields each crop was cultivated then last but not least get the area of each field. Make sure you indicate the crop/s grown in each field. Then sum up the areas of all the fields to get the total. If different areas for the fields are given in different units, use the conversion table to change to one unit. 2974 3 -1 18000 12.219 388.632 Total size of cultivated land (unit) Total size of cultivated land (unit) Total size of cultivated land (unit) Total size of cultivated land (unit) Total size of cultivated land (unit) What is the total size of cultivated land during the past agricultural season? Unit. RECORD UNIT AND AMOUNT. If "0" > Go to 6.10 (a6c_10 - variable name in dataset). The interviewer should take particular attention when asking this question and be very patient so that all the pieces of land cultivated are captured. The best way to go about this is to have a small sketch of the fields cultivated on the bottom of the page. The first step would be to find out the crops that were caltivated the season in question. Then find out in how many fields each crop was cultivated then last but not least get the area of each field. Make sure you indicate the crop/s grown in each field. Then sum up the areas of all the fields to get the total. If different areas for the fields are given in different units, use the conversion table to change to one unit. 2688 289 1 Lima 2 Acre 3 Hectare 4 Square Meters 5 Sysmiss amount of land that is share croped (amount) amount of land that is share croped (amount) amount of land that is share croped (amount) amount of land that is share croped (amount) amount of land that is share croped (amount) How much of the cultivated land is mixed-crop? Amount. RECORD UNIT AND AMOUNT. Find out from the given sketch how much of the total area cultivated is crop mixed i.e which field has more than one crop. Add the area of all the fields that are in mixture. 2713 264 21 0.326 1.094 amount of land that is share croped (unit) amount of land that is share croped (unit) amount of land that is share croped (unit) amount of land that is share croped (unit) amount of land that is share croped (unit) How much of the cultivated land is mixed-crop? Unit. RECORD UNIT AND AMOUNT. Find out from the given sketch how much of the total area cultivated is crop mixed i.e which field has more than one crop. Add the area of all the fields that are in mixture. 1619 1358 1 Lima 2 Acre 3 Hectare 4 Square Meters 6 9 Sysmiss Assets Respondent ID Assets Respondent ID Assets Respondent ID Assets Respondent ID Assets Respondent ID RECORD ID OF RESPONDENT 2972 5 2977 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 44358 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 44358 Assets-Livestock ID Assets-Livestock ID Assets-Livestock ID Assets-Livestock ID Assets-Livestock ID 44358 1 Bull 2 Calves 3 Chicken 4 Cow 5 Donkey / Horse 6 Ducks / Geese 7 Goats 8 Guinea Fowl 9 Heifer 10 Pigs 11 Rabbit 12 Sheep 13 Trained Oxen 14 Turkey 15 Untrained Oxen 96 Other Assets-Livestock description Assets-Livestock description Assets-Livestock description Assets-Livestock description Assets-Livestock description 44358 Bull Calves Chicken Cow Donkey / Horse Ducks / Geese Goats Guinea Fowl Heifer Pigs Rabbit Sheep Trained Oxen Turkey Untrained Oxen Assets-Livestock (QTY) Assets-Livestock (QTY) Assets-Livestock (QTY) Assets-Livestock (QTY) Assets-Livestock (QTY) How many …s does your household own? RECORD "0" IF NONE. Find out how many of a particular livestock owned by the household. If none record '0'. 44358 600 0.633 5.29 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 44358 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 44358 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 44358 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 44358 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 44358 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 44358 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 39217 5141 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 39757 4601 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 44298 60 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 28284 16074 1 30 5.096 2.573 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 678 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 678 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 678 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 678 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 678 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 678 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 678 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 678 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 601 77 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 609 69 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 678 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 450 228 1 15 5.404 2.564 Household operates non-farm microenterprise Household operates non-farm microenterprise Household operates non-farm microenterprise Household operates non-farm microenterprise Household operates non-farm microenterprise Does your household operate a non-farm microenterprise? If answer is 2 > Go to 6.20 (a6_20 - variable name in dataset). Find out from the respondent whether any household member operate a non-farm business activity. Record '1' if the response is yes. If the response is no record '2' and go to Q 6.20. 678 1 Yes 2 No Household Business/ Descritption (1) Household Business/ Descritption (1) Household Business/ Descritption (1) Household Business/ Descritption (1) Household Business/ Descritption (1) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). FULL WRITTEN DESCRIPTION OF BUSINESS(ES): Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 338 Household Business/ Code (1) Household Business/ Code (1) Household Business/ Code (1) Household Business/ Code (1) Household Business/ Code (1) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). RECORD CODE FOR EACH. Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 653 25 1 97 38.599 44.025 1 Petty vending at home 2 Petty Vending or hawking outside the home 3 Selling Knitted Items 4 Selling own sewed Clothes 5 Baking Fritters/Scones/ Cakes for sale 6 Brewing local (non-alcoholic) Drinks 7 Brewing beer or other alcoholic drinks for sale 8 Carpentry 9 Marketing handcrafts 10 Making reed mats or baskets for sale 11 Hair dressing (Braiding hair, cutting hair, styling hair, etc) at home 12 Piece work 13 Repairing and painting houses 96 Other (specify) 97 Sysmiss Household Business/ Description (2) Household Business/ Description (2) Household Business/ Description (2) Household Business/ Description (2) Household Business/ Description (2) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). FULL WRITTEN DESCRIPTION OF BUSINESS(ES): Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 32 Household Business/ Code (2) Household Business/ Code (2) Household Business/ Code (2) Household Business/ Code (2) Household Business/ Code (2) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). RECORD CODE FOR EACH. Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 63 615 1 96 42.841 45.039 1 2 3 5 6 7 9 11 12 13 96 Sysmiss Household Business/ Description (3) Household Business/ Description (3) Household Business/ Description (3) Household Business/ Description (3) Household Business/ Description (3) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). FULL WRITTEN DESCRIPTION OF BUSINESS(ES): Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 2 Household Business/ Code (3) Household Business/ Code (3) Household Business/ Code (3) Household Business/ Code (3) Household Business/ Code (3) LIST UP TO 3 BUSINESSES THAT THIS HH OPERATED DURING THE PAST 12 MONTHS (IN ORDER OF FINANCIAL IMPORTANCE TO THE HOUSEHOLD). RECORD CODE FOR EACH. Find out from the respondent the type/s of business/es that the household was engaged in 12 months prior to the survey. Give a detailed description of the type of business activity carried out by the household in the answer boxes provided. If a particular household is engaged in more than one business activity e.g. selling of charcoal and running a kantemba, you are required to list up to three activities starting with the business which brings in more income. 7 671 1 96 55.857 50.085 1 5 96 Sysmiss Household Business/ Responsible ID (1) Household Business/ Responsible ID (1) Household Business/ Responsible ID (1) Household Business/ Responsible ID (1) Household Business/ Responsible ID (1) Who is mainly reponsible for decisions in running this business? Business 1. IF THE PERSON IS A HOUSEHOLD MEMBER, PUT THE ID CODE OF THE PERSON. IF THE PERSON IS NOT A HOUSEHOLD MEMBER, WRITE '89'. For each of the business activities listed above, find out from the respondent the person who makes most decisions or is in charge of the day to day running of the business. Enter the PID of the person responsible for the particular business, if the person responsible for the business is not a household member enter 89. 656 22 Household Business/ Responsible ID (2) Household Business/ Responsible ID (2) Household Business/ Responsible ID (2) Household Business/ Responsible ID (2) Household Business/ Responsible ID (2) Who is mainly reponsible for decisions in running this business? Business 2. IF THE PERSON IS A HOUSEHOLD MEMBER, PUT THE ID CODE OF THE PERSON. IF THE PERSON IS NOT A HOUSEHOLD MEMBER, WRITE '89'. For each of the business activities listed above, find out from the respondent the person who makes most decisions or is in charge of the day to day running of the business. Enter the PID of the person responsible for the particular business, if the person responsible for the business is not a household member enter 89. 62 616 Household Business/ Responsible ID (3) Household Business/ Responsible ID (3) Household Business/ Responsible ID (3) Household Business/ Responsible ID (3) Household Business/ Responsible ID (3) Who is mainly reponsible for decisions in running this business? Business 3. IF THE PERSON IS A HOUSEHOLD MEMBER, PUT THE ID CODE OF THE PERSON. IF THE PERSON IS NOT A HOUSEHOLD MEMBER, WRITE '89'. For each of the business activities listed above, find out from the respondent the person who makes most decisions or is in charge of the day to day running of the business. Enter the PID of the person responsible for the particular business, if the person responsible for the business is not a household member enter 89. 6 672 Household Business/ Respondent ID (1) Household Business/ Respondent ID (1) Household Business/ Respondent ID (1) Household Business/ Respondent ID (1) Household Business/ Respondent ID (1) RECORD ID OF RESPONDENT: IF POSSIBLE, SPEAK TO THIS DECISION-MAKING MEMBER FOR THE QUESTIONS REGARDING EACH BUSINESS. Business 1. If possible, identify the person in charge of each of the listed business activities and speak to him/her regarding the business. Enter the ID code of the respondent for each of the business activities listed. 651 27 Household Business/ Respondent ID (2) Household Business/ Respondent ID (2) Household Business/ Respondent ID (2) Household Business/ Respondent ID (2) Household Business/ Respondent ID (2) RECORD ID OF RESPONDENT: IF POSSIBLE, SPEAK TO THIS DECISION-MAKING MEMBER FOR THE QUESTIONS REGARDING EACH BUSINESS. Business 2. If possible, identify the person in charge of each of the listed business activities and speak to him/her regarding the business. Enter the ID code of the respondent for each of the business activities listed. 62 616 Household Business/ Respondent ID (3) Household Business/ Respondent ID (3) Household Business/ Respondent ID (3) Household Business/ Respondent ID (3) Household Business/ Respondent ID (3) RECORD ID OF RESPONDENT: IF POSSIBLE, SPEAK TO THIS DECISION-MAKING MEMBER FOR THE QUESTIONS REGARDING EACH BUSINESS. Business 3. If possible, identify the person in charge of each of the listed business activities and speak to him/her regarding the business. Enter the ID code of the respondent for each of the business activities listed. 6 672 Household Business/ Ownership status (1) Household Business/ Ownership status (1) Household Business/ Ownership status (1) Household Business/ Ownership status (1) Household Business/ Ownership status (1) What is the ownership status of business [1, 2, or 3] by members of this household? Business 1. This question aims to determine the ownership status of the business/es operated by this household. Is the business wholly or partly owned by the household. If partly owned, is it more than or less than half shared owned by the household. Record the appropriate code in the boxes provided. 678 1 Wholely Owned 2 Partially Owned, more than half by HH 3 Partially Owned, less than half by HH Household Business/ Ownership status (2) Household Business/ Ownership status (2) Household Business/ Ownership status (2) Household Business/ Ownership status (2) Household Business/ Ownership status (2) What is the ownership status of business [1, 2, or 3] by members of this household? Business 2. This question aims to determine the ownership status of the business/es operated by this household. Is the business wholly or partly owned by the household. If partly owned, is it more than or less than half shared owned by the household. Record the appropriate code in the boxes provided. 62 616 1 Wholely Owned 2 Partially Owned, more than half by HH 3 Partially Owned, less than half by HH Sysmiss Household Business/ Ownership status (3) Household Business/ Ownership status (3) Household Business/ Ownership status (3) Household Business/ Ownership status (3) Household Business/ Ownership status (3) What is the ownership status of business [1, 2, or 3] by members of this household? Business 3. This question aims to determine the ownership status of the business/es operated by this household. Is the business wholly or partly owned by the household. If partly owned, is it more than or less than half shared owned by the household. Record the appropriate code in the boxes provided. 6 672 1 Wholely Owned 2 Partially Owned, more than half by HH 3 Partially Owned, less than half by HH Sysmiss Household Business/ HH members employed (1) Household Business/ HH members employed (1) Household Business/ HH members employed (1) Household Business/ HH members employed (1) Household Business/ HH members employed (1) During the past month, how many household members did this enterprise employ (part time or full time)? Business 1. Find out from the respondent how many household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. IS THIS THE PAST MONTH OR PAST ONE MONTH? If say this household was covered on the 8th of May, are we talking about the past month which is 1st April to 30th April or the past one month which is 8th April to 8th May? 662 16 187 1.624 15.864 Household Business/ HH members employed (2) Household Business/ HH members employed (2) Household Business/ HH members employed (2) Household Business/ HH members employed (2) Household Business/ HH members employed (2) During the past month, how many household members did this enterprise employ (part time or full time)? Business 2. Find out from the respondent how many household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. IS THIS THE PAST MONTH OR PAST ONE MONTH? If say this household was covered on the 8th of May, are we talking about the past month which is 1st April to 30th April or the past one month which is 8th April to 8th May? 60 618 4 0.317 0.833 Household Business/ HH members employed (3) Household Business/ HH members employed (3) Household Business/ HH members employed (3) Household Business/ HH members employed (3) Household Business/ HH members employed (3) During the past month, how many household members did this enterprise employ (part time or full time)? Business 3. Find out from the respondent how many household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. IS THIS THE PAST MONTH OR PAST ONE MONTH? If say this household was covered on the 8th of May, are we talking about the past month which is 1st April to 30th April or the past one month which is 8th April to 8th May? 6 672 2 0.5 0.837 Household Business/ non-HH members employed (1) Household Business/ non-HH members employed (1) Household Business/ non-HH members employed (1) Household Business/ non-HH members employed (1) Household Business/ non-HH members employed (1) During the past month, how many non-household members did this enterprise employ (part time or full time)? Business 1. Find out from the respondent how many non-household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. 653 25 25 0.211 1.359 Household Business/ non-HH members employed (2) Household Business/ non-HH members employed (2) Household Business/ non-HH members employed (2) Household Business/ non-HH members employed (2) Household Business/ non-HH members employed (2) During the past month, how many non-household members did this enterprise employ (part time or full time)? Business 2. Find out from the respondent how many non-household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. 60 618 5 0.267 0.8 Household Business/ non-HH members employed (3) Household Business/ non-HH members employed (3) Household Business/ non-HH members employed (3) Household Business/ non-HH members employed (3) Household Business/ non-HH members employed (3) During the past month, how many non-household members did this enterprise employ (part time or full time)? Business 3. Find out from the respondent how many non-household members were employed either on full time or part time basis in each of the business activities in the month prior to the survey. Record the number of non-household members employed for each of the businesses listed in the boxes provided. 6 672 1 0.167 0.408 Household Business/ Total Expenditure (1) Household Business/ Total Expenditure (1) Household Business/ Total Expenditure (1) Household Business/ Total Expenditure (1) Household Business/ Total Expenditure (1) What was the total expenditure on this business during the most recent month, including the wages of employees but not including any income paid to household members. Business 1. For each of the listed businesses, find out from the respondent the total amount spent on the business during the most recent month. These expenses should include wages paid to employees but excluding income paid to household members. Record the amount in Zambian Kwacha in the box provided. 647 31 6000000 307690.448 750231.409 Household Business/ Total Expenditure (2) Household Business/ Total Expenditure (2) Household Business/ Total Expenditure (2) Household Business/ Total Expenditure (2) Household Business/ Total Expenditure (2) What was the total expenditure on this business during the most recent month, including the wages of employees but not including any income paid to household members. Business 2. For each of the listed businesses, find out from the respondent the total amount spent on the business during the most recent month. These expenses should include wages paid to employees but excluding income paid to household members. Record the amount in Zambian Kwacha in the box provided. 60 618 8000000 308583.333 1078525.143 Household Business/ Total Expenditure (3) Household Business/ Total Expenditure (3) Household Business/ Total Expenditure (3) Household Business/ Total Expenditure (3) Household Business/ Total Expenditure (3) What was the total expenditure on this business during the most recent month, including the wages of employees but not including any income paid to household members. Business 3. For each of the listed businesses, find out from the respondent the total amount spent on the business during the most recent month. These expenses should include wages paid to employees but excluding income paid to household members. Record the amount in Zambian Kwacha in the box provided. 5 673 2000000 478000 855143.263 Household Business/ Total Profit Past Month (1) Household Business/ Total Profit Past Month (1) Household Business/ Total Profit Past Month (1) Household Business/ Total Profit Past Month (1) Household Business/ Total Profit Past Month (1) What was the total gross income from business earned during the most recent month after paying all expenses including the wages of employees but not including any income paid to household members. That is, what is the profit of this business in the last operating month? Business 1. For each of the listed businesses, find out from the respondent the total income the business earned during the most recent month. This is the profit after all expenses including the wages of the employees have been paid off. Make sure the income paid to household members is included in the profit. Record this amount in Zambian Kwacha in the box provided. 648 30 29000000 497821.764 1505307.211 Household Business/ Total Profit Past Month (2) Household Business/ Total Profit Past Month (2) Household Business/ Total Profit Past Month (2) Household Business/ Total Profit Past Month (2) Household Business/ Total Profit Past Month (2) What was the total gross income from business earned during the most recent month after paying all expenses including the wages of employees but not including any income paid to household members. That is, what is the profit of this business in the last operating month? Business 2. For each of the listed businesses, find out from the respondent the total income the business earned during the most recent month. This is the profit after all expenses including the wages of the employees have been paid off. Make sure the income paid to household members is included in the profit. Record this amount in Zambian Kwacha in the box provided. 60 618 12 3000000 389300.217 611644.129 Household Business/ Total Profit Past Month (3) Household Business/ Total Profit Past Month (3) Household Business/ Total Profit Past Month (3) Household Business/ Total Profit Past Month (3) Household Business/ Total Profit Past Month (3) What was the total gross income from business earned during the most recent month after paying all expenses including the wages of employees but not including any income paid to household members. That is, what is the profit of this business in the last operating month? Business 3. For each of the listed businesses, find out from the respondent the total income the business earned during the most recent month. This is the profit after all expenses including the wages of the employees have been paid off. Make sure the income paid to household members is included in the profit. Record this amount in Zambian Kwacha in the box provided. 5 673 12000 4000000 972400 1698884.575 Number of months enterprise operated (1) Number of months enterprise operated (1) Number of months enterprise operated (1) Number of months enterprise operated (1) Number of months enterprise operated (1) How many of the past 12 months did this enterprise operate? Business 1. 646 32 30 7.816 4.208 Number of months enterprise operated (2) Number of months enterprise operated (2) Number of months enterprise operated (2) Number of months enterprise operated (2) Number of months enterprise operated (2) How many of the past 12 months did this enterprise operate? Business 2. 60 618 1 12 8.567 4.204 Number of months enterprise operated (3) Number of months enterprise operated (3) Number of months enterprise operated (3) Number of months enterprise operated (3) Number of months enterprise operated (3) How many of the past 12 months did this enterprise operate? Business 3. 8 670 1 12 5.75 5.339 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2974 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2974 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2974 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2974 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2974 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2974 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2974 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2974 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2630 344 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2666 308 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2970 4 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1897 1077 1 30 5.1 2.577 ID ID ID ID ID ASK THIS SECTION TO THE FARM ENTERPRISE OWNER (OR THE HH HEAD) RECORD ID UNDER 6.25 Identify the farm enterprise owner (or head of household) Enter the ID code of the respondent for this section in the space provided in Q6.25. 2196 778 Farming land owned Farming land owned Farming land owned Farming land owned Farming land owned Does your household have land for farming? (OWN OR NOT) If answer is 2 > Go to 6.23 (a63_23 - variable name in dataset). This question refers to any piece/s of land that the household uses for cultivation regardless of ownership status. Include land that is rented, borrowed inherited or owned by the household for cultivation purposes. Enter code '1' if yes and if no enter code '2' and go to Q 6.12. 2966 8 1 Yes 2 No 4 Sysmiss Farming land size/ Quantity Farming land size/ Quantity Farming land size/ Quantity Farming land size/ Quantity Farming land size/ Quantity What is the total size of land available for farming owned by your household? Quantity. The interest in this question is land owned by the household. Only land that has been inherited should be included in this question. Include also land that has not been cultivated but is available for cultivation and is owned by the household. Exclude rented in and borrowed in land. Find out from the respondent the total size of land available for farming owned by the household. Enter the total quantity and unit in the boxes provided. (If the household owns several pieces of land suitable for cultivation, add them up and give the total). 2703 271 18000 15.009 407.692 Farming land size/ Unit Farming land size/ Unit Farming land size/ Unit Farming land size/ Unit Farming land size/ Unit What is the total size of land available for farming owned by your household? Unit. The interest in this question is land owned by the household. Only land that has been inherited should be included in this question. Include also land that has not been cultivated but is available for cultivation and is owned by the household. Exclude rented in and borrowed in land. Find out from the respondent the total size of land available for farming owned by the household. Enter the total quantity and unit in the boxes provided. (If the household owns several pieces of land suitable for cultivation, add them up and give the total). 2647 327 1 Lima 2 Acre 3 Hectare 4 Sysmiss Crops grown last season Crops grown last season Crops grown last season Crops grown last season Crops grown last season Did your household grow crops on any land in the last agricultural season (October 1, 2007 - September 30, 2008)? If answer is 2 > Go to Section 7. Find out from the respondent if any household member grew any crop during the last agricultural season. If the response is yes enter code '1'. If it is no enter code '2' and go to section 7. 2953 21 1 Yes 2 No 3 4 Sysmiss Farm Business Responsible ID Farm Business Responsible ID Farm Business Responsible ID Farm Business Responsible ID Farm Business Responsible ID Who is mainly reponsible for decisions in running this business? IF THE PERSON IS A HOUSEHOLD MEMBER, WRITE THE ID CODE OF THE PERSON. IF THE PERSON IS NOT A HOUSEHOLD MEMBER, WRITE '96'. Find out from the respondent who makes most of the decisions in the daily running to the business. If the person is a household member write his/her id code. if not write 96. 2504 470 Farm Business Respondent ID Farm Business Respondent ID Farm Business Respondent ID Farm Business Respondent ID Farm Business Respondent ID IF THE RESPONSIBLE DECISION MAKER IS AT HOME TRY TO TALK THAT PERSON - RECORD PERSONAL ID OF RESPONDENT. Recode the personal ID of the respondent but try as much as possible to talk to a responsible decision maker. 2493 481 Cultivated Land size/ Quantity Cultivated Land size/ Quantity Cultivated Land size/ Quantity Cultivated Land size/ Quantity Cultivated Land size/ Quantity What is the size of land cultivated by all household members in the last agricultural season? (INCLUDING OWN, RENTED, MIXED-CROP) Quantity. This question refers to total land that was cultivated by all members of the household. Any piece/s of land that was cultivated irrespective of whether it was rented in, borrowed in, should be included. Find out from the respondent the total size of land cultivated by the household. Enter the total quantity and unit in the boxes provided. (If the household cultivated several fields last agricultural season, add them up and give the total). 2503 471 0.1 18000 14.512 423.596 Cultivated Land size/ Unit Cultivated Land size/ Unit Cultivated Land size/ Unit Cultivated Land size/ Unit Cultivated Land size/ Unit What is the size of land cultivated by all household members in the last agricultural season? (INCLUDING OWN, RENTED, MIXED-CROP) Unit. This question refers to total land that was cultivated by all members of the household. Any piece/s of land that was cultivated irrespective of whether it was rented in, borrowed in, should be included. Find out from the respondent the total size of land cultivated by the household. Enter the total quantity and unit in the boxes provided. (If the household cultivated several fields last agricultural season, add them up and give the total). 2483 491 1 Lima 2 Acre 3 Hectare 4 Sysmiss Most Valuable Crop produced (1) Most Valuable Crop produced (1) Most Valuable Crop produced (1) Most Valuable Crop produced (1) Most Valuable Crop produced (1) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Crop 1. LIST 3 MOST VALUABLE CROPS. Find out the three most important crops that the household harvested. In other words three crops the household harvested which would fetch more money if sold. 2511 463 1 Local maize 2 Hybrid maize 3 Cassava 4 Sorghum 5 Millet 6 Rice 7 Mixed beans 8 Soya beans 9 Sweet potatoes 10 Irish Potatoes 11 Groundnuts 12 Cotton 13 Tobacco 14 Sunflower 15 Paprika 21 96 Other Sysmiss Most Valuable Crop produced (2) Most Valuable Crop produced (2) Most Valuable Crop produced (2) Most Valuable Crop produced (2) Most Valuable Crop produced (2) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Crop 2. LIST 3 MOST VALUABLE CROPS. Find out the three most important crops that the household harvested. In other words three crops the household harvested which would fetch more money if sold. 1880 1094 96 8.235 7.164 1 Local maize 2 Hybrid maize 3 Cassava 4 Sorghum 5 Millet 6 Rice 7 Mixed beans 8 Soya beans 9 Sweet potatoes 10 Irish Potatoes 11 Groundnuts 12 Cotton 13 Tobacco 14 Sunflower 15 Paprika 31 96 Other Sysmiss Most Valuable Crop produced (3) Most Valuable Crop produced (3) Most Valuable Crop produced (3) Most Valuable Crop produced (3) Most Valuable Crop produced (3) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Crop 3. LIST 3 MOST VALUABLE CROPS. Find out the three most important crops that the household harvested. In other words three crops the household harvested which would fetch more money if sold. 888 2086 96 9.528 8.7 1 Local maize 2 Hybrid maize 3 Cassava 4 Sorghum 5 Millet 6 Rice 7 Mixed beans 8 Soya beans 9 Sweet potatoes 10 Irish Potatoes 11 Groundnuts 12 Cotton 13 Tobacco 14 Sunflower 15 Paprika 96 Other Sysmiss Size of cultivated land area (1) Size of cultivated land area (1) Size of cultivated land area (1) Size of cultivated land area (1) Size of cultivated land area (1) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 1. SIZE OF CULTIVATED LAND AREA - USE UNIT FROM (6.26) 2262 712 6300 4.925 134.805 Size of cultivated land area (2) Size of cultivated land area (2) Size of cultivated land area (2) Size of cultivated land area (2) Size of cultivated land area (2) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 2. SIZE OF CULTIVATED LAND AREA - USE UNIT FROM (6.26) 1690 1284 5375 7.369 176.83 Size of cultivated land area (3) Size of cultivated land area (3) Size of cultivated land area (3) Size of cultivated land area (3) Size of cultivated land area (3) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 3. SIZE OF CULTIVATED LAND AREA - USE UNIT FROM (6.26) 820 2154 625 1.923 21.807 Share croped land (1) Share croped land (1) Share croped land (1) Share croped land (1) Share croped land (1) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 1. Is this land mixed crop? 2216 758 1 Yes 2 No 3 Sysmiss Share croped land (2) Share croped land (2) Share croped land (2) Share croped land (2) Share croped land (2) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 2. Is this land mixed crop? 1836 1138 1 Yes 2 No 3 4 5 6 8 Sysmiss Share croped land (3) Share croped land (3) Share croped land (3) Share croped land (3) Share croped land (3) What are the three most valuable crops that the household produced, and the size of the cultivated land areas for these crops. Land for 3. Is this land mixed crop? 1030 1944 1 Yes 2 No 3 4 5 6 7 8 9 Sysmiss Crop produced/ Quantity (1) Crop produced/ Quantity (1) Crop produced/ Quantity (1) Crop produced/ Quantity (1) Crop produced/ Quantity (1) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 1. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 2192 782 1780 36.356 106.696 Crop produced/ Unit (1) Crop produced/ Unit (1) Crop produced/ Unit (1) Crop produced/ Unit (1) Crop produced/ Unit (1) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 1. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 2344 630 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 12 14 15 20 21 22 23 41 42 45 50 75 Sysmiss Crop produced/ Quantity (2) Crop produced/ Quantity (2) Crop produced/ Quantity (2) Crop produced/ Quantity (2) Crop produced/ Quantity (2) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 2. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 1666 1308 -10 15671 49.193 406.79 Crop produced/ Unit (2) Crop produced/ Unit (2) Crop produced/ Unit (2) Crop produced/ Unit (2) Crop produced/ Unit (2) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 2. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 1706 1268 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 44 Sysmiss Crop produced/ Quantity (3) Crop produced/ Quantity (3) Crop produced/ Quantity (3) Crop produced/ Quantity (3) Crop produced/ Quantity (3) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 3. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 799 2175 3392 47.176 214.31 Crop produced/ Unit (3) Crop produced/ Unit (3) Crop produced/ Unit (3) Crop produced/ Unit (3) Crop produced/ Unit (3) What is the quantity of ……. produced during the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 3. For each of the listed crops above, find out the quantity harvested during the last agriculture season. Enter the quantity and the unit of measure in the boxes provided. If nothing was harvested, enter '0' in the quantity box, leave the unit of measure box blank and go to Q 6.32. 903 2071 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 14 99 Sysmiss Crop Sold/ Quantity (1) Crop Sold/ Quantity (1) Crop Sold/ Quantity (1) Crop Sold/ Quantity (1) Crop Sold/ Quantity (1) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 1. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 1772 1202 1780 28.978 117.923 Crop Sold/ Unit (1) Crop Sold/ Unit (1) Crop Sold/ Unit (1) Crop Sold/ Unit (1) Crop Sold/ Unit (1) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 1. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 862 2112 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 30 Sysmiss Crop Sold/ Quantity (2) Crop Sold/ Quantity (2) Crop Sold/ Quantity (2) Crop Sold/ Quantity (2) Crop Sold/ Quantity (2) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 2. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 1015 1959 -10000 1567 41.276 359.255 Crop Sold/ Unit (2) Crop Sold/ Unit (2) Crop Sold/ Unit (2) Crop Sold/ Unit (2) Crop Sold/ Unit (2) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 2. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 815 2159 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 25 28 50 Sysmiss Crop Sold/ Quantity (3) Crop Sold/ Quantity (3) Crop Sold/ Quantity (3) Crop Sold/ Quantity (3) Crop Sold/ Quantity (3) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Quantity. Crop 3. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 544 2430 3760 92.126 304.758 Crop Sold/ Unit (3) Crop Sold/ Unit (3) Crop Sold/ Unit (3) Crop Sold/ Unit (3) Crop Sold/ Unit (3) What is the quantity of ……. sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Unit. Crop 3. If no sale > Go to 6.32 (a63_32 - variable name in dataset). Check if the household harvested any of the three most valuable crops in Q 6.12 above. If the household did harvest any, find out from the respondent for each of the crops if the household sold any from the harvest. If the household bartered the crop, find out the quantity bartered out. Enter the quantity in the box provided. 418 2556 1 Kg 2 20 Ltr TIN 3 25 Kg Bag 4 50 Kg Bag 5 90 Kg Bag 6 Kg - Unshelled 7 20 Ltr TIN - Unshelled 8 25 Kg Bag - Unshelled 9 50 Kg Bag - Unshelled 10 90 Kg Bag - Unshelled 11 12 13 14 25 33 36 45 46 50 Sysmiss Crop Price per Unit (1) Crop Price per Unit (1) Crop Price per Unit (1) Crop Price per Unit (1) Crop Price per Unit (1) What is the price of [CROP] per [UNIT] sold? Crop 1. This question seeks to establish the unit price that different crops were sold at. For each of the crops sold, find out from the respondent how much was realized per unit i.e per bag, per tin e.t.c. For instance, if a farmer in Eastern Chadiza sold 30 by 50kg bags of maize from his 40 by 50kg harvest, and got K1, 500, 000 in total, then the unit price will be the price of a 50kg bag which can be calculated as follows:- 1 500 000/30 = K50,000 per 50kg bag. The price will therefore be indicated as K50,000 and the unit will be 50kg which has code '4'. 785 2189 -1000000 684000 35295.083 101194.449 Crop Price per Unit (2) Crop Price per Unit (2) Crop Price per Unit (2) Crop Price per Unit (2) Crop Price per Unit (2) What is the price of [CROP] per [UNIT] sold? Crop 2. This question seeks to establish the unit price that different crops were sold at. For each of the crops sold, find out from the respondent how much was realized per unit i.e per bag, per tin e.t.c. For instance, if a farmer in Eastern Chadiza sold 30 by 50kg bags of maize from his 40 by 50kg harvest, and got K1, 500, 000 in total, then the unit price will be the price of a 50kg bag which can be calculated as follows:- 1 500 000/30 = K50,000 per 50kg bag. The price will therefore be indicated as K50,000 and the unit will be 50kg which has code '4'. 774 2200 -1000000 975000 32137.461 174582.441 Crop Price per Unit (3) Crop Price per Unit (3) Crop Price per Unit (3) Crop Price per Unit (3) Crop Price per Unit (3) What is the price of [CROP] per [UNIT] sold? Crop 3. This question seeks to establish the unit price that different crops were sold at. For each of the crops sold, find out from the respondent how much was realized per unit i.e per bag, per tin e.t.c. For instance, if a farmer in Eastern Chadiza sold 30 by 50kg bags of maize from his 40 by 50kg harvest, and got K1, 500, 000 in total, then the unit price will be the price of a 50kg bag which can be calculated as follows:- 1 500 000/30 = K50,000 per 50kg bag. The price will therefore be indicated as K50,000 and the unit will be 50kg which has code '4'. 405 2569 750000 40330.252 72239.039 Crop Sold Total Value (1) Crop Sold Total Value (1) Crop Sold Total Value (1) Crop Sold Total Value (1) Crop Sold Total Value (1) What is the total value of [CROP(S)] sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Total 1. This question seeks to establish the total price that different crops were sold at. For each of the crops sold, find out from the respondent how much in total was realized from the sell. If we take the same example of the farmer in Chadiza who sold 30 by 50kg bags of maize from his 40 by 50kg harvest. And say he sold each bag at K45,000. To get the total value of maize sold, just multiply 45,000 by 30 = K1,350,000. Therefore in the total box for maize, K1,350,000 will be entered and the unit will be 50kg which has code '4'. If only one crop was sold, the figure in the grand total box will be equal to the figure in the total box for that crop. If there were more than one crop the household sold, add up the totals and record the amount in the grand total box. Even in the case where the household harvested and sold more than 3 crops, add the totals for all the crops sold and enter this amount in the grand total box. 773 2201 -100000000 15600000 -485105.22 11480623.697 Crop Sold Total Value (2) Crop Sold Total Value (2) Crop Sold Total Value (2) Crop Sold Total Value (2) Crop Sold Total Value (2) What is the total value of [CROP(S)] sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Total 2. This question seeks to establish the total price that different crops were sold at. For each of the crops sold, find out from the respondent how much in total was realized from the sell. If we take the same example of the farmer in Chadiza who sold 30 by 50kg bags of maize from his 40 by 50kg harvest. And say he sold each bag at K45,000. To get the total value of maize sold, just multiply 45,000 by 30 = K1,350,000. Therefore in the total box for maize, K1,350,000 will be entered and the unit will be 50kg which has code '4'. If only one crop was sold, the figure in the grand total box will be equal to the figure in the total box for that crop. If there were more than one crop the household sold, add up the totals and record the amount in the grand total box. Even in the case where the household harvested and sold more than 3 crops, add the totals for all the crops sold and enter this amount in the grand total box. 715 2259 -100000000 29992200 -1258506.628 14097397.461 Crop Sold Total Value (3) Crop Sold Total Value (3) Crop Sold Total Value (3) Crop Sold Total Value (3) Crop Sold Total Value (3) What is the total value of [CROP(S)] sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Total 3. This question seeks to establish the total price that different crops were sold at. For each of the crops sold, find out from the respondent how much in total was realized from the sell. If we take the same example of the farmer in Chadiza who sold 30 by 50kg bags of maize from his 40 by 50kg harvest. And say he sold each bag at K45,000. To get the total value of maize sold, just multiply 45,000 by 30 = K1,350,000. Therefore in the total box for maize, K1,350,000 will be entered and the unit will be 50kg which has code '4'. If only one crop was sold, the figure in the grand total box will be equal to the figure in the total box for that crop. If there were more than one crop the household sold, add up the totals and record the amount in the grand total box. Even in the case where the household harvested and sold more than 3 crops, add the totals for all the crops sold and enter this amount in the grand total box. 388 2586 -100000000 10000000 -2109.665 7263642.146 Total Crop Sold Value Total Crop Sold Value Total Crop Sold Value Total Crop Sold Value Total Crop Sold Value What is the total value of [CROP(S)] sold from the last agricultural season (October 1, 2007 - September 30, 2008)? Total 3. RECORD THE TOTAL FOR ALL IF MORE THAN 1 CROP. This question seeks to establish the total price that different crops were sold at. For each of the crops sold, find out from the respondent how much in total was realized from the sell. If we take the same example of the farmer in Chadiza who sold 30 by 50kg bags of maize from his 40 by 50kg harvest. And say he sold each bag at K45,000. To get the total value of maize sold, just multiply 45,000 by 30 = K1,350,000. Therefore in the total box for maize, K1,350,000 will be entered and the unit will be 50kg which has code '4'. If only one crop was sold, the figure in the grand total box will be equal to the figure in the total box for that crop. If there were more than one crop the household sold, add up the totals and record the amount in the grand total box. Even in the case where the household harvested and sold more than 3 crops, add the totals for all the crops sold and enter this amount in the grand total box. 820 2154 -1000000000 300699400 -9363448.689 105095321.724 Livestock Sold/ Quantity (1) Livestock Sold/ Quantity (1) Livestock Sold/ Quantity (1) Livestock Sold/ Quantity (1) Livestock Sold/ Quantity (1) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Quantity. Livestock 1. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 1815 1159 1800 3.135 54.749 Livestock Sold/ Unit (1) Livestock Sold/ Unit (1) Livestock Sold/ Unit (1) Livestock Sold/ Unit (1) Livestock Sold/ Unit (1) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Unit. Livestock 1. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 336 2638 1 Goats 2 Sheep 3 Pigs 4 Chicken 5 Guinea fowl 6 Ducks / Geese 7 Turkey 8 Donkey / Horse 9 Cow 10 Heifer 11 Bull 12 Untrained Oxen 13 Trained Oxen 14 Calves 15 Rabitts 96 Other Sysmiss Livestock Sold/ Quantity (2) Livestock Sold/ Quantity (2) Livestock Sold/ Quantity (2) Livestock Sold/ Quantity (2) Livestock Sold/ Quantity (2) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Quantity. Livestock 2. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 107 2867 7000 140.664 858.719 Livestock Sold/ Unit (2) Livestock Sold/ Unit (2) Livestock Sold/ Unit (2) Livestock Sold/ Unit (2) Livestock Sold/ Unit (2) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Unit. Livestock 2. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 108 2866 1 Goats 2 Sheep 3 Pigs 4 Chicken 5 Guinea fowl 6 Ducks / Geese 7 Turkey 8 Donkey / Horse 9 Cow 10 Heifer 11 Bull 12 Untrained Oxen 13 Trained Oxen 14 Calves 15 Rabitts 40 96 Other Sysmiss Livestock Sold/ Quantity (3) Livestock Sold/ Quantity (3) Livestock Sold/ Quantity (3) Livestock Sold/ Quantity (3) Livestock Sold/ Quantity (3) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Quantity. Livestock 3. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 74 2900 6000 731.189 1741.447 Livestock Sold/ Unit (3) Livestock Sold/ Unit (3) Livestock Sold/ Unit (3) Livestock Sold/ Unit (3) Livestock Sold/ Unit (3) What is the quantity of …sold during the last 12 months (May 2008 - May 2009)? Unit. Livestock 3. NOTE: THIS IS QUANTITY SOLD. IF NO SALES > Go to next section. Find out from the respondent if the household owned any of the listed livestock last agricultural season. If they did find out if they sold any in the past 12 months and which ones among the ones sold were the three most valuable livestock. Enter the appropriate code for the livestock in the code box and the quantity sold in the quantity box. 33 2941 1 Goats 2 Sheep 3 Pigs 4 Chicken 5 Guinea fowl 6 Ducks / Geese 7 Turkey 8 Donkey / Horse 9 Cow 10 Heifer 11 Bull 12 Untrained Oxen 13 Trained Oxen 14 Calves 15 Rabitts 20 24 40 96 Other 98 Sysmiss Livestock Price per Unit (1) Livestock Price per Unit (1) Livestock Price per Unit (1) Livestock Price per Unit (1) Livestock Price per Unit (1) What is the price of ……. per unit sold? Livestock 1. For each of the listed livestock, find out from the respondent the price of each of the livestock sold. For example, if a farmer sold 15 pigs find out the price for one pig. Follow procedure as in Q. 6.30. 332 2642 -100000000 1800000 -1720012.41 13354510.933 Livestock Price per Unit (2) Livestock Price per Unit (2) Livestock Price per Unit (2) Livestock Price per Unit (2) Livestock Price per Unit (2) What is the price of ……. per unit sold? Livestock 2. For each of the listed livestock, find out from the respondent the price of each of the livestock sold. For example, if a farmer sold 15 pigs find out the price for one pig. Follow procedure as in Q. 6.30. 93 2881 -100000000 1100000 -3102930.161 17788231.229 Livestock Price per Unit (3) Livestock Price per Unit (3) Livestock Price per Unit (3) Livestock Price per Unit (3) Livestock Price per Unit (3) What is the price of ……. per unit sold? Livestock 3. For each of the listed livestock, find out from the respondent the price of each of the livestock sold. For example, if a farmer sold 15 pigs find out the price for one pig. Follow procedure as in Q. 6.30. 37 2937 -100000000 1200000 -48572807.838 50746487.052 Livestock Sold Total (1) Livestock Sold Total (1) Livestock Sold Total (1) Livestock Sold Total (1) Livestock Sold Total (1) What is the total value of [LIVESTOCK] sold during the past 12 months (May 2008 - May 2009)? Total 1. For each of the livestock sold get the total value the farmer realized from the sell. Follow procedure in Q.6.31. If there were more than one kind of livestock/poultry the household sold, add up the totals and record the total in the grand total. Refer to question 6.31. 311 2663 -100000000 4500000 -84834.727 5700657.281 Livestock Sold Total (2) Livestock Sold Total (2) Livestock Sold Total (2) Livestock Sold Total (2) Livestock Sold Total (2) What is the total value of [LIVESTOCK] sold during the past 12 months (May 2008 - May 2009)? Total 2. For each of the livestock sold get the total value the farmer realized from the sell. Follow procedure in Q.6.31. If there were more than one kind of livestock/poultry the household sold, add up the totals and record the total in the grand total. Refer to question 6.31. 80 2894 1 3000000 272966.725 463502.33 Livestock Sold Total (3) Livestock Sold Total (3) Livestock Sold Total (3) Livestock Sold Total (3) Livestock Sold Total (3) What is the total value of [LIVESTOCK] sold during the past 12 months (May 2008 - May 2009)? Total 3. For each of the livestock sold get the total value the farmer realized from the sell. Follow procedure in Q.6.31. If there were more than one kind of livestock/poultry the household sold, add up the totals and record the total in the grand total. Refer to question 6.31. 16 2958 -100000000 1600000 -5922437.5 25092619.241 Total Livestock Sold Value Total Livestock Sold Value Total Livestock Sold Value Total Livestock Sold Value Total Livestock Sold Value RECORD THE TOTAL FOR ALL IF MORE THAN 1 KIND 171 2803 6000 4520000 413157.895 646420.816 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 35688 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 35688 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 35688 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 35688 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 35688 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 35688 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 35688 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 35688 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 31560 4128 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 31992 3696 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 35640 48 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 22752 12936 1 30 5.101 2.576 Income ID Income ID Income ID Income ID Income ID SOURCE: You are required to ask this question to determine if any member of the household received any money or goods in kind from the following sources: If did not receive from this source enter '00'. If [transfer] was in kind, record value recipient would expect to pay for an equivalent transfer. 35688 1 Interest or investment income 2 Renting building and/or land to others 3 Renting equipment/vehicles/machinery to others 4 Renting animals to others 5 Workman's compensation? (working inability insurance) 6 Other government transfer 7 Scholarship for study or training 8 Assistance from community groups, NGOs, churches, etc. 9 Remittances / gifts (in cash or in kind) from relatives, co-workers or friends within Zambia (for weddings, funerals, etc? 10 Remittances / gifts (in cash or in kind) from relatives, co-workers or friends outside Zambia (for weddings, funerals, etc.)? 11 Inheritance 96 Other income not from work? specify Interest or Investment income: This is money you receive from some investments you made or money the bank or related institutions gives you at the end of a stipulated period of time e.g. the interest the bank gives you monthly for serving with them. Renting buildings and/or land to others: This is money received from renting out of buildings or land to others. Renting equipment/vehicles/machinery to others: This is just the same as the source above but in this case it is money from renting out of things like vehicles, machinery such as ploughs, lawn mowers etc. Renting animals to others: In this case it is money received from allowing others to use you animals such as cattle, donkeys etc. Workman's compensation (working inability insurance): This is money you are given by an insurance company that represents workers (e.g. workman's compensation fund) for the injury you incur while on duty. Other Government transfer: This is money you receive from the Government other than your salary e.g. Grants, Gratuity etc. Scholarship for study or training :This is where your school or study /training is paid-for by someone else other than yourself (household). This can be by the Government, Other Institution, Company or an Individual. Assistance from community groups, NGOs, churches, etc: This is assistance you receive from Non-Governmental Organizations, Churches, or from the community. This can either be in cash or in kind. Remmitances/Gifts (in cash or in-kind) from relatives, co-workers or friends within zambia (for weddings, funerals, EID, etc: This is money or gifts which was sent to the household from other households/friends/relatives within Zambia. Remmitances/gifts (in cash or kind) from relatives, co-workers or friends outside Zambia (for weddings, funerals, EID, etc.): This is money or gifts which was sent to the household from other households/friends/relatives outside Zambia. Inheritance: This is money/goods that are acquired by the household/household member after the death of a relative/friend. Other income not from work? (Specify): This is any other income that is received by the household member from any other source other than what is already outlined above. Income Description Income Description Income Description Income Description Income Description SOURCE: 35688 Income Value (Kwacha) Income Value (Kwacha) Income Value (Kwacha) Income Value (Kwacha) Income Value (Kwacha) How much did your household receive from ..[SOURCE].. in the past 12 months? IF NONE, RECORD 00. IF [TRANSFER] WAS IN KIND, RECORD VALUE RECIPIENT WOULD EXPECT TO PAY FOR AN EQUIVALENT TRANSFER. 35626 62 10800000 2407.888 100101.121 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2975 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2975 Poor/Rich Self-Evaluation (Today) Poor/Rich Self-Evaluation (Today) Poor/Rich Self-Evaluation (Today) Poor/Rich Self-Evaluation (Today) Poor/Rich Self-Evaluation (Today) Do you consider your household to be non poor, moderately poor, or very poor today? If answer is 1 > Go to 7.04 (a7c_04 - variable name in dataset). Try to bring in a scenario where you talk about the locality where this household is, and allow them to compare themselves with other households. Do they think they are among the non-poor, moderately poor or very poor households. 2971 4 1 Non poor 2 Moderately poor 3 Very poor Sysmiss Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty What do you think has led your household to poverty? 1st. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER 88 in the remaining box (s). Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the other boxes. This question seeks to find out what the household thinks has led them to being poor and it is to be asked to households that answered moderately poor or very poor in the question above. There are 18 answer categories given. You are to enter up to three causes of poverty ranked in order of importance, starting with the most important. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 2450 525 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 18 88 ***Undefined Label 96 Other Sysmiss Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty What do you think has led your household to poverty? 2nd. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER 88 in the remaining box (s). Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the other boxes. This question seeks to find out what the household thinks has led them to being poor and it is to be asked to households that answered moderately poor or very poor in the question above. There are 18 answer categories given. You are to enter up to three causes of poverty ranked in order of importance, starting with the most important. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 2450 525 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 21 88 ***Undefined Label 96 Other 99 Sysmiss Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty Reasons that led household to poverty What do you think has led your household to poverty? 3rd. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER 88 in the remaining box (s). Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the other boxes. This question seeks to find out what the household thinks has led them to being poor and it is to be asked to households that answered moderately poor or very poor in the question above. There are 18 answer categories given. You are to enter up to three causes of poverty ranked in order of importance, starting with the most important. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 2412 563 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 28 78 88 ***Undefined Label 96 Other 99 Sysmiss Poor/Rich Self-Evaluation (1 year ago) Poor/Rich Self-Evaluation (1 year ago) Poor/Rich Self-Evaluation (1 year ago) Poor/Rich Self-Evaluation (1 year ago) Poor/Rich Self-Evaluation (1 year ago) Compared to last year, do you consider your household to be better off, the same, or worse off now? If answer is 2 > Go to next section. Comparing to how the household was last year economically, how does the household rate themselves now. Are they worse off, the same or better off today? 2972 3 1 Better off 2 The same 3 Worse off 4 New household Sysmiss Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year CHECK VALUE IN (7.03), THEN ASK THE RELEVANT QUESTION. Why do you think your household is better off / worse off today compared to where it was last year? 1st. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER CODE 88. Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the blank boxes. This question seeks to find out what the household thinks is the reason why they are either better off or worse off now than they were last year. There are 22 answer categories, enter the appropriate answer codes in the boxes provided. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 956 2019 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 18 Investment 19 Support from Government 20 Support from Community 21 Support from family/friends 22 23 88 96 Other 99 Sysmiss Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year CHECK VALUE IN (7.03), THEN ASK THE RELEVANT QUESTION. Why do you think your household is better off / worse off today compared to where it was last year? 2nd. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER CODE 88. Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the blank boxes. This question seeks to find out what the household thinks is the reason why they are either better off or worse off now than they were last year. There are 22 answer categories, enter the appropriate answer codes in the boxes provided. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 954 2021 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 18 Investment 19 Support from Government 20 Support from Community 21 Support from family/friends 22 23 88 96 Other 98 Sysmiss Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year Reason why Household is better/worse off than last year CHECK VALUE IN (7.03), THEN ASK THE RELEVANT QUESTION. Why do you think your household is better off / worse off today compared to where it was last year? 3rd. ASK FOR 3 CAUSES, STARTING WITH THE MOST IMPORTANT. IF ONLY 1 or 2 REASONS ARE GIVEN, ENTER CODE 88. Ask for three causes, starting with the most important. If only one or two reasons are given, enter code 88 in the blank boxes. This question seeks to find out what the household thinks is the reason why they are either better off or worse off now than they were last year. There are 22 answer categories, enter the appropriate answer codes in the boxes provided. You must not read the alternatives. Prompt for reasons that the respondent thinks that make them to be poor/moderate poor/very poor and write up to three answers. 953 2022 1 Lack of adequate land 2 Lack of inputs 3 Lack of capital 4 Low demand / prices 5 Too much competition 6 Death of cattle / livestock 7 Lack of employment opportunity 8 Salary / wage too low 9 Redundancy 10 Prices too high 11 Hard economic times 12 Ill health / disability 13 Death of bread winner 14 Death in household 15 Debt 16 Natural disaster 17 Bad weather 18 Investment 19 Support from Government 20 Support from Community 21 Support from family/friends 23 80 88 96 Other Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2975 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2975 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2975 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2975 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2975 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2975 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2630 345 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2667 308 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2971 4 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1896 1079 1 30 5.102 2.576 Transfers and Other Income Respondent ID Transfers and Other Income Respondent ID Transfers and Other Income Respondent ID Transfers and Other Income Respondent ID Transfers and Other Income Respondent ID RECORD ID OF RESPONDENT 2966 9 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 26682 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 26682 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID RECORD ID OF RESPONDENT 26610 72 Weekly Consumed Food ID Weekly Consumed Food ID Weekly Consumed Food ID Weekly Consumed Food ID Weekly Consumed Food ID ITEM CODE 26682 1 Maize grain/meal/nshima 2 Bread 3 Cassava 4 Chicken/Game birds 5 Kapenta 6 Rice 7 Fish/Seafood 8 Sugar 9 Cooking oil Weekly Consumed Food Description Weekly Consumed Food Description Weekly Consumed Food Description Weekly Consumed Food Description Weekly Consumed Food Description 26682 Weekly Consumed Food Weekly Consumed Food Weekly Consumed Food Weekly Consumed Food Weekly Consumed Food Did your household consume ........ In the last 2 weeks? These food items could either have been purchased, home produced or received in kind. Find out from the respondent if the household consumed any of the food items listed in the questionnaire. Enter code '1' if they did consume which is a yes and if no enter code '2' and go to the next item. 26660 22 1 Yes 2 No 6 Sysmiss Food Item Code Food Item Code Food Item Code Food Item Code Food Item Code 26682 1 2 3 4 5 6 7 8 9 2-Week Purchased Food Item Value 2-Week Purchased Food Item Value 2-Week Purchased Food Item Value 2-Week Purchased Food Item Value 2-Week Purchased Food Item Value What is the total value of the purchased ........ in the last 2 weeks? For each particular food item that was consumed, find out which one was purchased and ask this question. Find out from the respondent the total value purchased in the last 2 weeks. For instance, if a particular household bought kapenta three times in the last 2 weeks, sum up the three purchases and enter the total value in Zambian Kwacha in the appropriate box. For all consumed food items that were purchased, add up the total and indicate in the box provided. 14213 12469 2500000 9637.475 28618.65 12-Week Purchased Food Item Value 12-Week Purchased Food Item Value 12-Week Purchased Food Item Value 12-Week Purchased Food Item Value 12-Week Purchased Food Item Value What is the total value of home produced or gifted ........ in the last 2 weeks? This question refers to both home produced and gifted food items. For each particular food item consumed, find out if it was home produced, received in kind/gifted. E.g. if within the last 2 weeks, a household consumed a tin of maize grain which was received from a relative and they also had quarter tin of home produced maize grain which was consumed, you have to find out from the respondent how much the 1.25 tin of maize grain would cost if they had to buy. Enter the total value in Zambian Kwacha in the appropriate box. Just like in Q 8.03, add up the total for all consumed food items that were home produced or received as gifts and indicate the total value in the box provided. 14209 12473 1400000 8143.569 22880.02 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 26682 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 26682 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 26682 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 26682 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 26682 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 26682 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 26673 9 1 Musole Minina 2 Constance Ng蜘ane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 26682 1 15 5.081 2.393 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 26756 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 26756 Non-Food Item Code Non-Food Item Code Non-Food Item Code Non-Food Item Code Non-Food Item Code ITEM CODE 26388 368 1 Public transport (work) 2 Public transport (school) 3 Public transport (health facility) 4 Other public transport 5 Health consultations 6 Lab fees 7 Medicines 8 Hospitalization 9 Other health-related expenditure Sysmiss Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item ASK (8.04) FOR ALL ITEMS FIRST, RECORDING A YES OR NO IN THE APPROPRIATE BOX. THEN ASK (8.05) ONLY FOR THE ITEMS THAT WERE PAID FOR OR RECEIVED AS GIFTS / IN-KIND PAYMENTS. Has your household paid for or received ........ for free during the past 30 days? Find out from the respondent if the household paid for or received for free any of the non-food items listed in the questionnaire. Enter code '1' if the response is yes and code '2', if the response if no and go to next item. 26726 30 1 Purchased 2 Gift (received for free, no need to pay back) 3 Forgone payment (Received for free, have to pay back) 4 No Sysmiss Non-Food Item Cost (30 days) Non-Food Item Cost (30 days) Non-Food Item Cost (30 days) Non-Food Item Cost (30 days) Non-Food Item Cost (30 days) How much did your household spend on ........ in the past 30 days? This question will only be asked for non-food item that were purchased or received for free. Find out from the respondent how much the household spent on a particular non-food item 30 days prior to the survey. If a particular non-food item was purchased more than once in the last 30 days, these purchases have to be added up and the total value in Zambian Kwacha be indicated in the appropriate box. Then, for all purchased or gifted non-food items add up the total and indicate in the box provided. 897 25859 600000 38929.155 72756.004 Public transport to and from work - refer to costs incurred by a household in the past 30 days on public transport when going to and coming back from work. Public transport to and from school - refer to costs incurred by a household in the past 30 days on public transport when going to and coming back from school. Public transport to and from health facility - refer to costs incurred by a household in the past 30 days, on public transport when going to and coming back from a health facility. Other Public transport - Refer to any other costs not mentioned, incurred by a household on public transport in the past 30 days. Health consultations - This refer to both medical consultation for a medical doctor and/or for a traditional healer. Lab fees - These are fees related to any laboratory tests e.g blood samples, urine, stool sputum test etc. Medicines - These are fees spent on drugs at the facility or bought at a pharmarcy e.g amoxyl, coartem brufen etc. Hospitalisation - This is commonly known as admission. E. g at UTH in a high cost ward a patient is required to pay admission fee. This will also include cost for food consumed during the time of admission. Other related expenditure - Any other costs not mentioned. Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 26756 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 26756 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 26756 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 26756 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 26756 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 26756 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 23669 3087 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 23993 2763 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 26720 36 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 17072 9684 1 30 5.1 2.576 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 17858 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 17858 Non-Food Item Code Non-Food Item Code Non-Food Item Code Non-Food Item Code Non-Food Item Code ITEM CODE 17676 182 1 School fees 2 Parent association fees 3 Tuition and boarding fees 4 Textbooks 5 Uniforms and other materials 6 Other spending on education Sysmiss Non-Food Item Description Non-Food Item Description Non-Food Item Description Non-Food Item Description Non-Food Item Description 17666 Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item Purchased Non-Food Item ASK (8.07) FOR ALL ITEMS FIRST, RECORDING A YES OR NO IN THE APPROPRIATE BOX. THEN ASK (8.08) ONLY FOR THE ITEMS THAT WERE PAID FOR OR RECEIVED AS GIFTS / IN-KIND PAYMENTS. Has your household paid for or received for free ........ during the past 12 months? Follow the steps in question 8.04. Only that the reference period is 12 months. 17795 63 1 Yes 2 No 3 4 Sysmiss Annual cost of non-food item (ZMK) Annual cost of non-food item (ZMK) Annual cost of non-food item (ZMK) Annual cost of non-food item (ZMK) Annual cost of non-food item (ZMK) How much did your household spend on ........ in the past 12 months? Follow the steps in question 8.05. Only that the reference period is 12 months. 3026 14832 6000000 122667.339 346972.197 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 17858 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 17858 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 17858 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 17858 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 17858 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 17858 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 17852 6 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 17851 7 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 17852 6 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 17853 5 15 5.077 2.391 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2856 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2856 Sprayed Dwelling against mosquitoes (12 months) Sprayed Dwelling against mosquitoes (12 months) Sprayed Dwelling against mosquitoes (12 months) Sprayed Dwelling against mosquitoes (12 months) Sprayed Dwelling against mosquitoes (12 months) At any time in the past 12 months has anyone sprayed the interior walls of your dwelling against mosquitoes? Find out from the respondent if the interior walls of the dwelling were sprayed against mosquitoes in the past 12 months. Some households regularly spray their dwellings against cockroaches and in the process even a number of mosquitoes are eliminated but the intention for spraying is to eradicate cockroaches. In this case therefore, assume the house was not sprayed against mosquitoes. 2853 3 1 Yes 2 No Sysmiss Time since Dwelling Sprayed (months) Time since Dwelling Sprayed (months) Time since Dwelling Sprayed (months) Time since Dwelling Sprayed (months) Time since Dwelling Sprayed (months) How many months ago did they spray? RECORD NUMBER OF MONTHS. IF < 1 MONTH, RECORD '00'. If the answer to question 8.10 is yes i.e. in the past 12 months the household did spray against mosquitoes, find out from the respondent how many months ago they sprayed. If they sprayed in less than a month, recode '0'. 141 2715 24 6.128 4.451 Who Sprayed Dwelling Who Sprayed Dwelling Who Sprayed Dwelling Who Sprayed Dwelling Who Sprayed Dwelling Who sprayed the house? Find out from the respondent who sprayed the dwelling. There are 3 possible answers, enter the appropriate answer category in the box provided. 143 2713 1 Government Program / Worker 2 Private Company 3 Household Member 96 Other Sysmiss Mosquito Net(s) Owned Mosquito Net(s) Owned Mosquito Net(s) Owned Mosquito Net(s) Owned Mosquito Net(s) Owned How many mosquito nets does your household own? IF NONE, RECORD '00' AND GO TO 8.23 (a84_23 - variable name in dataset). The interest is the number of mosquito nets owned by the household. If there are any mosquito nets that have been left by visitors or are for visitors, they should not be counted. Include mosquito nets that have been inherited and are used by the household. Enter the number of mosquito nets in the appropriate box provided. 2853 3 12 1.469 1.151 Mosquito Net Observed (1) Mosquito Net Observed (1) Mosquito Net Observed (1) Mosquito Net Observed (1) Mosquito Net Observed (1) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 1. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 2230 626 1 Observed 2 Not Observed Sysmiss Mosquito Net Observed (2) Mosquito Net Observed (2) Mosquito Net Observed (2) Mosquito Net Observed (2) Mosquito Net Observed (2) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 2. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 1288 1568 1 Observed 2 Not Observed Sysmiss Mosquito Net Observed (3) Mosquito Net Observed (3) Mosquito Net Observed (3) Mosquito Net Observed (3) Mosquito Net Observed (3) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 3. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 523 2333 1 Observed 2 Not Observed 3 Sysmiss Mosquito Net Observed (4) Mosquito Net Observed (4) Mosquito Net Observed (4) Mosquito Net Observed (4) Mosquito Net Observed (4) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 4. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 79 2777 1 Observed 2 Not Observed Sysmiss Mosquito Net Observed (5) Mosquito Net Observed (5) Mosquito Net Observed (5) Mosquito Net Observed (5) Mosquito Net Observed (5) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 5. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 27 2829 1 Observed 2 Not Observed Sysmiss Mosquito Net Observed (6) Mosquito Net Observed (6) Mosquito Net Observed (6) Mosquito Net Observed (6) Mosquito Net Observed (6) ASK RESPONDENT TO SHOW YOU THE NET(S) IN THE HOUSEHOLD. IF MORE THAN THREE NETS, USE ADDITIONAL QUESTIONNAIRE. NET 6. Ask the respondent to show you the mosquito nets owned by the household. If you are shown or can see the mosquito nets record '01' if not record '02'. If the household has more than 3 mosquito nets use additional questionnaire to record all. 11 2845 1 Observed 2 Not Observed Sysmiss Mosquito Net Obtained/Number (1) Mosquito Net Obtained/Number (1) Mosquito Net Obtained/Number (1) Mosquito Net Obtained/Number (1) Mosquito Net Obtained/Number (1) How long ago did your household obtain the mosquito nets? Number. Net 1. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 2230 626 1 28 3.047 3.226 Mosquito Net Obtained/Time Unit (1) Mosquito Net Obtained/Time Unit (1) Mosquito Net Obtained/Time Unit (1) Mosquito Net Obtained/Time Unit (1) Mosquito Net Obtained/Time Unit (1) How long ago did your household obtain the mosquito nets? Unit. Net 1. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 2223 633 1 Days 2 Weeks 3 Months 4 Years 5 9 Sysmiss Mosquito Net Obtained/Number (2) Mosquito Net Obtained/Number (2) Mosquito Net Obtained/Number (2) Mosquito Net Obtained/Number (2) Mosquito Net Obtained/Number (2) How long ago did your household obtain the mosquito nets? Number. Net 2. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 1286 1570 28 3.154 3.406 Mosquito Net Obtained/Time Unit (2) Mosquito Net Obtained/Time Unit (2) Mosquito Net Obtained/Time Unit (2) Mosquito Net Obtained/Time Unit (2) Mosquito Net Obtained/Time Unit (2) How long ago did your household obtain the mosquito nets? Unit. Net 2. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 1282 1574 1 Days 2 Weeks 3 Months 4 Years 9 Sysmiss Mosquito Net Obtained/Number (3) Mosquito Net Obtained/Number (3) Mosquito Net Obtained/Number (3) Mosquito Net Obtained/Number (3) Mosquito Net Obtained/Number (3) How long ago did your household obtain the mosquito nets? Number. Net 3. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 522 2334 1 28 3.257 3.55 Mosquito Net Obtained/Time Unit (3) Mosquito Net Obtained/Time Unit (3) Mosquito Net Obtained/Time Unit (3) Mosquito Net Obtained/Time Unit (3) Mosquito Net Obtained/Time Unit (3) How long ago did your household obtain the mosquito nets? Unit. Net 3. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 521 2335 1 Days 2 Weeks 3 Months 4 Years 5 Sysmiss Mosquito Net Obtained/Number (4) Mosquito Net Obtained/Number (4) Mosquito Net Obtained/Number (4) Mosquito Net Obtained/Number (4) Mosquito Net Obtained/Number (4) How long ago did your household obtain the mosquito nets? Number. Net 4. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 79 2777 1 18 2.861 3.02 Mosquito Net Obtained/Time Unit (4) Mosquito Net Obtained/Time Unit (4) Mosquito Net Obtained/Time Unit (4) Mosquito Net Obtained/Time Unit (4) Mosquito Net Obtained/Time Unit (4) How long ago did your household obtain the mosquito nets? Unit. Net 4. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 79 2777 1 Days 2 Weeks 3 Months 4 Years Sysmiss Mosquito Net Obtained/Number (5) Mosquito Net Obtained/Number (5) Mosquito Net Obtained/Number (5) Mosquito Net Obtained/Number (5) Mosquito Net Obtained/Number (5) How long ago did your household obtain the mosquito nets? Number. Net 5. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 26 2830 1 18 3.269 3.672 Mosquito Net Obtained/Time Unit (5) Mosquito Net Obtained/Time Unit (5) Mosquito Net Obtained/Time Unit (5) Mosquito Net Obtained/Time Unit (5) Mosquito Net Obtained/Time Unit (5) How long ago did your household obtain the mosquito nets? Unit. Net 5. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 26 2830 1 Days 2 Weeks 3 Months 4 Years Sysmiss Mosquito Net Obtained/Number (6) Mosquito Net Obtained/Number (6) Mosquito Net Obtained/Number (6) Mosquito Net Obtained/Number (6) Mosquito Net Obtained/Number (6) How long ago did your household obtain the mosquito nets? Number. Net 6. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 11 2845 1 8 2.727 2.005 Mosquito Net Obtained/Time Unit (6) Mosquito Net Obtained/Time Unit (6) Mosquito Net Obtained/Time Unit (6) Mosquito Net Obtained/Time Unit (6) Mosquito Net Obtained/Time Unit (6) How long ago did your household obtain the mosquito nets? Unit. Net 6. RECORD UNIT AND NUMBER. Find out from the respondent when each of the mosquito nets recorded were obtained. Record the appropriate code in the box provided. 11 2845 1 Days 2 Weeks 3 Months 4 Years Sysmiss Mosquito Net Brand (1) Mosquito Net Brand (1) Mosquito Net Brand (1) Mosquito Net Brand (1) Mosquito Net Brand (1) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 1. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 2225 631 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Brand (2) Mosquito Net Brand (2) Mosquito Net Brand (2) Mosquito Net Brand (2) Mosquito Net Brand (2) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 2. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 1278 1578 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Brand (3) Mosquito Net Brand (3) Mosquito Net Brand (3) Mosquito Net Brand (3) Mosquito Net Brand (3) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 3. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 521 2335 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Brand (4) Mosquito Net Brand (4) Mosquito Net Brand (4) Mosquito Net Brand (4) Mosquito Net Brand (4) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 4. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 80 2776 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Brand (5) Mosquito Net Brand (5) Mosquito Net Brand (5) Mosquito Net Brand (5) Mosquito Net Brand (5) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 5. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 26 2830 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Brand (6) Mosquito Net Brand (6) Mosquito Net Brand (6) Mosquito Net Brand (6) Mosquito Net Brand (6) OBSERVE OR ASK THE BRAND OF THE MOSQUITO NET. Net 6. Check the mosquito net, the brand name should be on the mosquito net. Enter the brand name of each mosquito net in the box provided. If the brand name of the mosquito net is any other apart from the ones already given, but it is a pre-treated net record '07'. And if for some reason, the interviewer cannot observe the mosquito nets and the respondent does not know the brand of the mosquito net, find out if the mosquito net is pre-treated and if it is record '07'. 11 2845 1 Olyset 2 Permanet 3 Iconet 4 Fennet 5 Ko Net 6 Safinet 7 Other Pretreated 96 Other 99 DK Sysmiss Mosquito Net Obtained/Where (1) Mosquito Net Obtained/Where (1) Mosquito Net Obtained/Where (1) Mosquito Net Obtained/Where (1) Mosquito Net Obtained/Where (1) Where did you obtain the net? Net 1. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 2226 630 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Mosquito Net Obtained/Where (2) Mosquito Net Obtained/Where (2) Mosquito Net Obtained/Where (2) Mosquito Net Obtained/Where (2) Mosquito Net Obtained/Where (2) Where did you obtain the net? Net 2. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 1277 1579 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Mosquito Net Obtained/Where (3) Mosquito Net Obtained/Where (3) Mosquito Net Obtained/Where (3) Mosquito Net Obtained/Where (3) Mosquito Net Obtained/Where (3) Where did you obtain the net? Net 3. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 520 2336 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Mosquito Net Obtained/Where (4) Mosquito Net Obtained/Where (4) Mosquito Net Obtained/Where (4) Mosquito Net Obtained/Where (4) Mosquito Net Obtained/Where (4) Where did you obtain the net? Net 4. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 79 2777 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Mosquito Net Obtained/Where (5) Mosquito Net Obtained/Where (5) Mosquito Net Obtained/Where (5) Mosquito Net Obtained/Where (5) Mosquito Net Obtained/Where (5) Where did you obtain the net? Net 5. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 26 2830 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Mosquito Net Obtained/Where (6) Mosquito Net Obtained/Where (6) Mosquito Net Obtained/Where (6) Mosquito Net Obtained/Where (6) Mosquito Net Obtained/Where (6) Where did you obtain the net? Net 6. Find out from the respondent where each of the nets recorded were obtained. There are 8 possible answers, enter the appropriate code in the box provided. 11 2845 1 Governement 2 Clinic / Hospital 3 Neighborhood Health Committee 4 Community Health Worker 5 NGO 6 Reatail Shop 7 Pharmacy 8 Employer 96 Other Sysmiss Pre-Treated Mosquito Net (1) Pre-Treated Mosquito Net (1) Pre-Treated Mosquito Net (1) Pre-Treated Mosquito Net (1) Pre-Treated Mosquito Net (1) When you obtained the net, was it already treated with insectide? Net 1. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 2169 687 1 Yes 2 No 99 DK Sysmiss Pre-Treated Mosquito Net (2) Pre-Treated Mosquito Net (2) Pre-Treated Mosquito Net (2) Pre-Treated Mosquito Net (2) Pre-Treated Mosquito Net (2) When you obtained the net, was it already treated with insectide? Net 2. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 1223 1633 1 Yes 2 No 99 DK Sysmiss Pre-Treated Mosquito Net (3) Pre-Treated Mosquito Net (3) Pre-Treated Mosquito Net (3) Pre-Treated Mosquito Net (3) Pre-Treated Mosquito Net (3) When you obtained the net, was it already treated with insectide? Net 3. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 489 2367 1 Yes 2 No 11 99 DK Sysmiss Pre-Treated Mosquito Net (4) Pre-Treated Mosquito Net (4) Pre-Treated Mosquito Net (4) Pre-Treated Mosquito Net (4) Pre-Treated Mosquito Net (4) When you obtained the net, was it already treated with insectide? Net 4. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 74 2782 1 Yes 2 No 99 DK Sysmiss Pre-Treated Mosquito Net (5) Pre-Treated Mosquito Net (5) Pre-Treated Mosquito Net (5) Pre-Treated Mosquito Net (5) Pre-Treated Mosquito Net (5) When you obtained the net, was it already treated with insectide? Net 5. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 24 2832 1 Yes 2 No 99 DK Sysmiss Pre-Treated Mosquito Net (6) Pre-Treated Mosquito Net (6) Pre-Treated Mosquito Net (6) Pre-Treated Mosquito Net (6) Pre-Treated Mosquito Net (6) When you obtained the net, was it already treated with insectide? Net 6. For each particular net, find out from the respondent if the mosquito net was already treated with insecticide at the time the household was obtaining it. It could be that the mosquito net was already treated when it was purchased or when it was given either at a health center or given as a gift. Recode '1' if the answer is yes and '2' if the answer is no. If the respondent does not know recode 99. 10 2846 1 Yes 2 No 99 DK Sysmiss Did you Purchase the Net (1) Did you Purchase the Net (1) Did you Purchase the Net (1) Did you Purchase the Net (1) Did you Purchase the Net (1) Did you purchase the net? Net 1. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 2142 714 1 Yes 2 No 3000 7500 10000 12000 13000 Sysmiss Did you Purchase the Net (2) Did you Purchase the Net (2) Did you Purchase the Net (2) Did you Purchase the Net (2) Did you Purchase the Net (2) Did you purchase the net? Net 2. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 1205 1651 1 Yes 2 No Sysmiss Did you Purchase the Net (3) Did you Purchase the Net (3) Did you Purchase the Net (3) Did you Purchase the Net (3) Did you Purchase the Net (3) Did you purchase the net? Net 3. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 479 2377 1 Yes 2 No Sysmiss Did you Purchase the Net (4) Did you Purchase the Net (4) Did you Purchase the Net (4) Did you Purchase the Net (4) Did you Purchase the Net (4) Did you purchase the net? Net 4. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 70 2786 1 Yes 2 No Sysmiss Did you Purchase the Net (5) Did you Purchase the Net (5) Did you Purchase the Net (5) Did you Purchase the Net (5) Did you Purchase the Net (5) Did you purchase the net? Net 5. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 23 2833 1 Yes 2 No Sysmiss Did you Purchase the Net (6) Did you Purchase the Net (6) Did you Purchase the Net (6) Did you Purchase the Net (6) Did you Purchase the Net (6) Did you purchase the net? Net 6. Find out from the respondent if the mosquito net was bought by a member of the household. If it was bought by another household member and given to a member of this household, the answer should be no. Record '1' for yes and '2' for no. 9 2847 1 Yes 2 No Sysmiss Purchased Net/Cost (1) Purchased Net/Cost (1) Purchased Net/Cost (1) Purchased Net/Cost (1) Purchased Net/Cost (1) How much did you pay when you purchased the net? Net 1. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 372 2484 1500 45000 8526.882 6714.074 Purchased Net/Cost (2) Purchased Net/Cost (2) Purchased Net/Cost (2) Purchased Net/Cost (2) Purchased Net/Cost (2) How much did you pay when you purchased the net? Net 2. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 209 2647 45000 7820.612 6346.333 Purchased Net/Cost (3) Purchased Net/Cost (3) Purchased Net/Cost (3) Purchased Net/Cost (3) Purchased Net/Cost (3) How much did you pay when you purchased the net? Net 3. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 103 2753 1500 45000 8669.903 7622.063 Purchased Net/Cost (4) Purchased Net/Cost (4) Purchased Net/Cost (4) Purchased Net/Cost (4) Purchased Net/Cost (4) How much did you pay when you purchased the net? Net 4. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 16 2840 1500 12000 5093.75 3357.672 Purchased Net/Cost (5) Purchased Net/Cost (5) Purchased Net/Cost (5) Purchased Net/Cost (5) Purchased Net/Cost (5) How much did you pay when you purchased the net? Net 5. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 9 2847 1500 10000 6166.667 3741.657 Purchased Net/Cost (6) Purchased Net/Cost (6) Purchased Net/Cost (6) Purchased Net/Cost (6) Purchased Net/Cost (6) How much did you pay when you purchased the net? Net 6. IMPUTED VALUE IF IT WAS BARTERED. RECORD AMOUNT IN KWACHA. If the answer to Q 8.19 is yes find out the cost of the mosquito net. Record the amount in Zambian in the box provided. 2 2854 1500 750 1060.66 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2856 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2856 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 405 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2856 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2856 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2856 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2856 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2632 224 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2671 185 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2851 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Natasha Mwaba 5 Nakoza Liso 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2855 1 30 5.076 2.474 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 9664 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 9664 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 9664 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 9664 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 9664 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 9664 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 9664 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 9664 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 8455 1209 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 8518 1146 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 9654 10 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 5945 3719 1 30 6.254 2.629 Person ID Person ID Person ID Person ID Person ID ID CODE All HH members. 9526 138 Slept under mosquito net 1 Slept under mosquito net 1 Slept under mosquito net 1 Slept under mosquito net 1 Slept under mosquito net 1 Who slept under this mosquito net last night? Net 1. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 9301 363 1 Yes 2 No 3 4 5 6 Sysmiss Type of person sleeping under net 1 Type of person sleeping under net 1 Type of person sleeping under net 1 Type of person sleeping under net 1 Type of person sleeping under net 1 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 1. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 4368 5296 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old 7 98 Sysmiss Slept under mosquito net 2 Slept under mosquito net 2 Slept under mosquito net 2 Slept under mosquito net 2 Slept under mosquito net 2 Who slept under this mosquito net last night? Net 2. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 5146 4518 1 Yes 2 No 3 4 5 6 7 Sysmiss Type of person sleeping under net 2 Type of person sleeping under net 2 Type of person sleeping under net 2 Type of person sleeping under net 2 Type of person sleeping under net 2 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 2. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 1700 7964 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old Sysmiss Slept under mosquito net 3 Slept under mosquito net 3 Slept under mosquito net 3 Slept under mosquito net 3 Slept under mosquito net 3 Who slept under this mosquito net last night? Net 3. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 1917 7747 1 Yes 2 No 3 4 5 Sysmiss Type of person sleeping under net 3 Type of person sleeping under net 3 Type of person sleeping under net 3 Type of person sleeping under net 3 Type of person sleeping under net 3 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 3. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 460 9204 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old Sysmiss Slept under mosquito net 4 Slept under mosquito net 4 Slept under mosquito net 4 Slept under mosquito net 4 Slept under mosquito net 4 Who slept under this mosquito net last night? Net 4. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 317 9347 1 Yes 2 No 3 Sysmiss Type of person sleeping under net 4 Type of person sleeping under net 4 Type of person sleeping under net 4 Type of person sleeping under net 4 Type of person sleeping under net 4 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 4. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 59 9605 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old Sysmiss Slept under mosquito net 5 Slept under mosquito net 5 Slept under mosquito net 5 Slept under mosquito net 5 Slept under mosquito net 5 Who slept under this mosquito net last night? Net 5. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 63 9601 1 Yes 2 No 3 Sysmiss Type of person sleeping under net 5 Type of person sleeping under net 5 Type of person sleeping under net 5 Type of person sleeping under net 5 Type of person sleeping under net 5 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 5. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 5 9659 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old Sysmiss Slept under mosquito net 6 Slept under mosquito net 6 Slept under mosquito net 6 Slept under mosquito net 6 Slept under mosquito net 6 Who slept under this mosquito net last night? Net 6. FOR EACH NET, RECORD VALUE NEXT TO THE ID IN THE TABLE UNDER COLUMN (8.21). If answer is 3 > Go to next net. All HH members. 34 9630 1 Yes 2 No 3 Sysmiss Type of person sleeping under net 6 Type of person sleeping under net 6 Type of person sleeping under net 6 Type of person sleeping under net 6 Type of person sleeping under net 6 FOR EACH NET, UNDER COLUMN (8.22) IN THE TABLE, VERIFY THE TYPE OF PERSON SLEEPING UNDER THE NET LAST NIGHT. Net 6. The aim of this question is to establish which category the household member who slept under a particular net is in. It could be that the household member was a child under 5 years of age or it could be that it was a pregnant woman e.t.c. Check and verify from the ages of the household members which category the individual falls in and code it appropriately. If no one slept undet the mosquito net, enter '0'. All HH members. 2 9662 Nobody 1 Child under 5 years old 2 Child between 5-12 years 3 Pregnant woman 4 Woman of reproductive age (15-49) 5 Household head 6 Other Adult over 12 years old Sysmiss Cluster Cluster Cluster Cluster Cluster CLUSTER ID 3000 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 3000 Main cause of malaria Main cause of malaria Main cause of malaria Main cause of malaria Main cause of malaria What is the main cause of malaria? Find out from the respondent what he/she thinks is the main cause of malaria. Note that the interviewer should not suggest any disapproval or surprise either in speech or body language. Code the answer. 2972 28 1 Mosquitoes 2 Dirty foods 3 Dirty liquids 4 Climate / Weather 5 Witchcraft 96 Other Sysmiss Danger signs or symptoms of malaria (1st) Danger signs or symptoms of malaria (1st) Danger signs or symptoms of malaria (1st) Danger signs or symptoms of malaria (1st) Danger signs or symptoms of malaria (1st) What are the danger signs or symptoms of malaria? 1st. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Ask the respondent what he/she thinks are the danger signs or symptoms of malaria. In other words how does the member feel or gets the indication that s/he has malaria. Record upto three. 2972 28 1 fever 2 Headache 3 Nausea 4 Vomiting 5 Body weakness 6 Seizure / Convulsion 96 Other Sysmiss Danger signs or symptoms of malaria (2nd) Danger signs or symptoms of malaria (2nd) Danger signs or symptoms of malaria (2nd) Danger signs or symptoms of malaria (2nd) Danger signs or symptoms of malaria (2nd) What are the danger signs or symptoms of malaria? 2nd. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Ask the respondent what he/she thinks are the danger signs or symptoms of malaria. In other words how does the member feel or gets the indication that s/he has malaria. Record upto three. 2843 157 1 fever 2 Headache 3 Nausea 4 Vomiting 5 Body weakness 6 Seizure / Convulsion 9 11 96 Other Sysmiss Danger signs or symptoms of malaria (3rd) Danger signs or symptoms of malaria (3rd) Danger signs or symptoms of malaria (3rd) Danger signs or symptoms of malaria (3rd) Danger signs or symptoms of malaria (3rd) What are the danger signs or symptoms of malaria? 3rd. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Ask the respondent what he/she thinks are the danger signs or symptoms of malaria. In other words how does the member feel or gets the indication that s/he has malaria. Record upto three. 2184 816 1 fever 2 Headache 3 Nausea 4 Vomiting 5 Body weakness 6 Seizure / Convulsion 25 96 Other Sysmiss Protection against malaria (1st) Protection against malaria (1st) Protection against malaria (1st) Protection against malaria (1st) Protection against malaria (1st) How can someone protect themselves against malaria? 1st. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Find out from the respondent how s/he thinks someone can protect themselves from getting malaria. Do not read the answers to the respondent but listen from the respondent and record a given answer appropriately in the response boxes provided. 2963 37 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 96 Other Sysmiss Protection against malaria (2nd) Protection against malaria (2nd) Protection against malaria (2nd) Protection against malaria (2nd) Protection against malaria (2nd) How can someone protect themselves against malaria? 2nd. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Find out from the respondent how s/he thinks someone can protect themselves from getting malaria. Do not read the answers to the respondent but listen from the respondent and record a given answer appropriately in the response boxes provided. 2367 633 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 96 Other Sysmiss Protection against malaria (3rd) Protection against malaria (3rd) Protection against malaria (3rd) Protection against malaria (3rd) Protection against malaria (3rd) How can someone protect themselves against malaria? 3rd. DO NOT READ OUT ANSWERS. ONLY LISTEN TO RESPONDENT AND RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. Find out from the respondent how s/he thinks someone can protect themselves from getting malaria. Do not read the answers to the respondent but listen from the respondent and record a given answer appropriately in the response boxes provided. 1700 1300 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 88 91 96 Other 99 Sysmiss activity done to protect against malaria (1st) activity done to protect against malaria (1st) activity done to protect against malaria (1st) activity done to protect against malaria (1st) activity done to protect against malaria (1st) Which of the following have members of your household done to protect themselves from malaria? 1st. RECORD UP TO 3 RESPONSES. ENTER PROTECTION CODES IN THE BOXES. For this question, the answer categories must be read aloud to the respondent. Find out if any of the household members have done any of the following to protect themselves against malaria. 2972 28 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 96 Other Sysmiss activity done to protect against malaria (2nd) activity done to protect against malaria (2nd) activity done to protect against malaria (2nd) activity done to protect against malaria (2nd) activity done to protect against malaria (2nd) Which of the following have members of your household done to protect themselves from malaria? 2nd. RECORD UP TO 3 RESPONSES. ENTER PROTECTION CODES IN THE BOXES. For this question, the answer categories must be read aloud to the respondent. Find out if any of the household members have done any of the following to protect themselves against malaria. 2297 703 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 96 Other Sysmiss activity done to protect against malaria (3rd) activity done to protect against malaria (3rd) activity done to protect against malaria (3rd) activity done to protect against malaria (3rd) activity done to protect against malaria (3rd) Which of the following have members of your household done to protect themselves from malaria? 3rd. RECORD UP TO 3 RESPONSES. ENTER PROTECTION CODES IN THE BOXES. For this question, the answer categories must be read aloud to the respondent. Find out if any of the household members have done any of the following to protect themselves against malaria. 1704 1296 1 Mosquito net 2 Insect repellent 3 Insect screens 4 Preventive medication 5 Insecticide (IRS) 6 Mosquito coil 7 Avoid dirty foods 8 Avoid dirty liquids 9 Fill in puddles 10 Keep house clean 11 Burn grass 96 Other Sysmiss best way to treat against malaria (1st) best way to treat against malaria (1st) best way to treat against malaria (1st) best way to treat against malaria (1st) best way to treat against malaria (1st) What is the best way to treat malaria? 1st. RECORD UP TO 3 RESPONSES. ENTER TREATMENT CODES IN THE BOXES. Find out from the respondent what s/he thinks is the best way to treat malaria. Enter the appropriate code in the response box provided. 2955 45 1 SP/ Fansidar 2 Chloroquine 3 Amodiaquine 4 Quinine 5 ACT (Coartem) 6 Arthemetan 7 Traditional medicine 96 Other Sysmiss best way to treat against malaria (2nd) best way to treat against malaria (2nd) best way to treat against malaria (2nd) best way to treat against malaria (2nd) best way to treat against malaria (2nd) What is the best way to treat malaria? 2nd. RECORD UP TO 3 RESPONSES. ENTER TREATMENT CODES IN THE BOXES. Find out from the respondent what s/he thinks is the best way to treat malaria. Enter the appropriate code in the response box provided. 2256 744 1 SP/ Fansidar 2 Chloroquine 3 Amodiaquine 4 Quinine 5 ACT (Coartem) 6 Arthemetan 7 Traditional medicine 96 Other Sysmiss best way to treat against malaria (3rd) best way to treat against malaria (3rd) best way to treat against malaria (3rd) best way to treat against malaria (3rd) best way to treat against malaria (3rd) What is the best way to treat malaria? 3rd. RECORD UP TO 3 RESPONSES. ENTER TREATMENT CODES IN THE BOXES. Find out from the respondent what s/he thinks is the best way to treat malaria. Enter the appropriate code in the response box provided. 1496 1504 1 SP/ Fansidar 2 Chloroquine 3 Amodiaquine 4 Quinine 5 ACT (Coartem) 6 Arthemetan 7 Traditional medicine 96 Other Sysmiss source of information about malaria (1st) source of information about malaria (1st) source of information about malaria (1st) source of information about malaria (1st) source of information about malaria (1st) Where do you typically hear more about malaria? 1st. RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. This question is aims to find out the source/s of information on malaria for household members. Record upto three sources. 2960 40 1 CHW 2 Neighborhood Health Committee 3 Drug Seller 4 Doctor and/or nurse 5 Health Clinic/Hospital 6 Radio/TV 7 Newspaper/Magazine 8 Family 9 Friends and/or neighbors in the city 10 Friends and/or neighbors in the village 96 Other Sysmiss source of information about malaria (2nd) source of information about malaria (2nd) source of information about malaria (2nd) source of information about malaria (2nd) source of information about malaria (2nd) Where do you typically hear more about malaria? 2nd. RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. This question is aims to find out the source/s of information on malaria for household members. Record upto three sources. 2152 848 1 CHW 2 Neighborhood Health Committee 3 Drug Seller 4 Doctor and/or nurse 5 Health Clinic/Hospital 6 Radio/TV 7 Newspaper/Magazine 8 Family 9 Friends and/or neighbors in the city 10 Friends and/or neighbors in the village 96 Other Sysmiss source of information about malaria (3rd) source of information about malaria (3rd) source of information about malaria (3rd) source of information about malaria (3rd) source of information about malaria (3rd) Where do you typically hear more about malaria? 3rd. RECORD UP TO 3 RESPONSES. ENTER SYMPTOM CODES IN THE BOXES. This question is aims to find out the source/s of information on malaria for household members. Record upto three sources. 1367 1633 1 CHW 2 Neighborhood Health Committee 3 Drug Seller 4 Doctor and/or nurse 5 Health Clinic/Hospital 6 Radio/TV 7 Newspaper/Magazine 8 Family 9 Friends and/or neighbors in the city 10 Friends and/or neighbors in the village 96 Other Sysmiss Have you heard about RDT test? Have you heard about RDT test? Have you heard about RDT test? Have you heard about RDT test? Have you heard about RDT test? Have you heard about RDT test? If answer is 2 > Go to next section. 2975 25 1 Yes 2 No Sysmiss Where did you first hear about RDT test? Where did you first hear about RDT test? Where did you first hear about RDT test? Where did you first hear about RDT test? Where did you first hear about RDT test? Where did you first hear about RDT test? 1031 1969 1 PUBLIC HEALTH FACILITY 2 PRIVATE HEALTH FACILITY 3 COMMUNITY HEALTH WORKER 4 NEIGHBOURHOOD HEALTH COMMITTEE 5 RADIO/TELEVISION PROGRAM 6 MAGAZINE 96 OTHER, (SPECIFY) Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 3000 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 3000 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 3000 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 3000 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 3000 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 3000 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2999 1 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2998 2 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2999 1 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2995 5 15 5.06 2.403 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 9032 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 9032 Person ID Person ID Person ID Person ID Person ID ID CODE ALL household members >=12 years old. 9013 19 Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today How is your health today? If answer is 1 or 2 > Go to 10.04 (b1_04 - variable name in dataset). Find out the health status of the person at the time of the survey. Is it excellent, good, fair or poor? ALL household members >=12 years old. 8878 154 1 Excellent 2 Good 3 Fair 4 Poor Sysmiss Excellent - the person is tremendously or exceptionally ok, he/she is able to do any kind of work he/she works without a single problem. Good - person is fine, can work or do any other thing without any problem. Fair person is pale, neither in a healthy condition nor is a poor condition. Poor - person is unhealthy, hardly does any form of work. Playing with friends is not exceptional. Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago 12 months ago, how was your health on a normal day? Ask only if Q10.01 is “Fair” or “Poor”. Find out the person's health on an ordinary day 12 months ago. Ask the respondent on his/her health 12 months prior to the day of the interview. Is it the same, worse or better? Probe to get these differences. ALL household members >=12 years old. 1016 8016 1 Better 2 Worse 3 Same Sysmiss Better - person has improved from that Fair or Poor health condition. Worse - person's health has deteriorated from the previous Fair or Poor condition. The Same - person's health condition has neither improved nor deteriorated. For example, if the condition was fair, it is still fair and if was poor, it is still poor. There is no difference in the way the person is feeling. Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Given your health, how are you currently able to do your daily activities, such as working, going to school or playing? Considering the person's current health condition, determine whether he/she can perform daily activities such as working, going to school or playing. Is it easily, with difficult or cannot do it at all? ALL household members >=12 years old. 1062 7970 1 Easily 2 With Some Dificulty 3 With Much Difficulty 4 Unable to do Sysmiss Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks In the last 4 weeks, have you been sick at any time? If answer is 2 > Go to 10.39 (b1_39 - variable name in dataset). Record '1' for YES also if a person's illness started earlier than the 4 weeks period before the survey as long as the person was still sick during the 4 weeks period before the survey or currently as you enumerate. If the child was sick during the last 4 weeks period before the survey and is no longer sick, you still record '1' for YES. If a person was not sick during the last 4 weeks and not sick at the time of the interview go to NEXT SECTION. ALL household members >=12 years old. 8858 174 1 Yes 2 No Sysmiss Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) What were you mainly suffering from? 1st. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it has been established that it was malaria - only then do you record fever/malaria. Illnesses such as Jaundice is commonly known as Yellow fever, Hypertension is also called BP, Diabetes is Sugar Disease etc. ALL household members >=12 years old. 1702 7330 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 23 Paralysis 96 Other Sysmiss Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) What were you mainly suffering from? 2nd. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it has been established that it was malaria - only then do you record fever/malaria. Illnesses such as Jaundice is commonly known as Yellow fever, Hypertension is also called BP, Diabetes is Sugar Disease etc. ALL household members >=12 years old. 484 8548 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 23 Paralysis 96 Other Sysmiss Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) What were you mainly suffering from? 3rd. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it has been established that it was malaria - only then do you record fever/malaria. Illnesses such as Jaundice is commonly known as Yellow fever, Hypertension is also called BP, Diabetes is Sugar Disease etc. ALL household members >=12 years old. 117 8915 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 23 Paralysis 96 Other Sysmiss Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) How long ago did the last episode of illness start? Number. Possible answer categories have been provided. Enter number of days/weeks/months in the “Number column” and the answer codes (01 or 02 or 03) in the “Unit column”. ALL household members >=12 years old. 1691 7341 76 4.181 5.775 Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) How long ago did the last episode of illness start? Unit. Possible answer categories have been provided. Enter number of days/weeks/months in the “Number column” and the answer codes (01 or 02 or 03) in the “Unit column”. ALL household members >=12 years old. 1678 7354 1 Days 2 Weeks 3 Months Sysmiss Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) How long ago did the illness stop? Number. Possible answer categories have been provided. Enter number of days/weeks in the “Number column” and the answer code in the Unit column. If person is still sick record answer category 03 in the “Unit column” and leave the “Number column” blank. ALL household members >=12 years old. 1557 7475 21 2.438 2.808 Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) How long ago did the illness stop? Unit. Possible answer categories have been provided. Enter number of days/weeks in the “Number column” and the answer code in the Unit column. If person is still sick record answer category 03 in the “Unit column” and leave the “Number column” blank. ALL household members >=12 years old. 1649 7383 1 Days 2 Weeks 3 Still Sick Sysmiss Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Did you consult any health institution/personnel for this illness? INSTITUTION/PERSONNEL INCLUDES TRADITIONAL HEALER. If answer is 1 > Go to 10.10 (b1_10 - variable name in dataset). A health consultation is one where a person has approached or sought medical advice/attention from any medical officer, spiritual healer or traditional healer (including herbalists) whether at a public or private health institution or merely by calling a medical officer on a private engagement, or by consulting a church pastor. This consultation could even be done outside Zambia. If the person took medicine that was bought without consultation or was available in the home, then that is self-administered medicine and the answer should be NO. If this medicine did not work and consultation was done later, then the answer category should be 'YES'. ALL household members >=12 years old. 1684 7348 1 Yes 2 Self-Treated Only 3 No Sysmiss Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Why didn't you consult a health institution or personnel for care? Go to 10.22 (b1_22 - variable name in dataset). Determine why the household did not approach or sought medical advice/attention from any health facility, spiritual healer and/or traditional healer so that the sick person could receive treatment. ALL household members >=12 years old. 772 8260 1 Too Expensive 2 Too Far 3 Too Busy (work, children) 4 Wasn't sisck enough 5 Facility has poor structure 6 Facility poorly stocked 7 Poor staff attitude 8 Poor staff knowledge 9 Don't trust the staff 10 96 Other Sysmiss Too expensive: Meaning the charge for consultation at the health facility or traditional healer or spiritual healer is too high. Too far: meaning the distance from the household to the point of service is too much to be travelled. Too busy (work, children): The person had many things to do or was busy taking care of children. Wasn't sick enough: The illness was not severe enough to seek consultation. Facility has poor infrastructure: The facility has poor buildings such as waiting room, treatment room, toilets/bathrooms etc. Facility poorly stocked: Health Facility does not have enough drugs and/or equipment to use. Poor staff attitude: Medical personnel have bad approach, behaviour or have no manners. Poor staff knowledge: Medical staff or other personnel at the point of service have little information on the operations of the medical field. Don't trust the staff: Person has no confidence in the people working at the point of service. Consulting decision made by Consulting decision made by Consulting decision made by Consulting decision made by Consulting decision made by Who decided you should go there for your illness? (IN RELATION TO SICK PERSON) Find out the person who decided that the sick person should be taken to the said health care giver for the illness. It should be in relation to the sick person or respondent in the case of the children or absentees. ALL household members >=12 years old. 913 8119 1 Self 2 Spouse 3 Parent 4 Parent-in-Law 5 Other relative 6 Friends/Neighbors 7 Community Health Worker 10 12 96 Other 99 Sysmiss Seek care after (time period) Seek care after (time period) Seek care after (time period) Seek care after (time period) Seek care after (time period) How long after the illness started did you seek care? This question is trying to find out how long it took the household after the sickness had started to seek health care for the illness. Was it within 24 hours, after 24 hours, within the same week, within 2 weeks or 3 weeks? ALL household members >=12 years old. 902 8130 1 Within 24 hours 2 After 24 hours, next day 3 Same Week 4 Within 2 Weeks 5 Within 3 Weeks 6 Sysmiss Where did you seek care Where did you seek care Where did you seek care Where did you seek care Where did you seek care Where did you seek care? PROBE FOR PLACE OF PRIMARY CARE SEEKING. Probe for the health institution/personnel or any other place where the sick person was taken to seek health care for the illness. Possible options have been provided. Record only the primary and main place the household sought care from. ALL household members >=12 years old. 904 8128 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 7 Pharmacy 9 Traditional Healer 10 Faith/Church Healer 11 Community Health Worker 12 Kantemba (Zambia Specific) 13 Drug Store (Zambia Specific) 96 Other Sysmiss Facility Name Facility Name Facility Name Facility Name Facility Name INTERVIEWER: IF PUBLIC HOSPITAL/CLINIC OR CENTER/POST, PROBE FOR NAME OF FACILITY AND RECORD CODE . NAME. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. If answer for Q10.12 is hospital/clinic/centre, find out the name and record the code for the same facility. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. For example, if the name of the facility is Nangwenya Clinic, Record Nangwenya in the “Name column” and the code for this facility in the “Code column”. ALL household members >=12 years old. 867 Facility Code Facility Code Facility Code Facility Code Facility Code INTERVIEWER: IF PUBLIC HOSPITAL/CLINIC OR CENTER/POST, PROBE FOR NAME OF FACILITY AND RECORD CODE . CODE. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. If answer for Q10.12 is hospital/clinic/centre, find out the name and record the code for the same facility. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. For example, if the name of the facility is Nangwenya Clinic, Record Nangwenya in the “Name column” and the code for this facility in the “Code column”. ALL household members >=12 years old. 647 8385 1 605036 41358.935 118748.832 1 2 3 4 6 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 39 40 54 60 72 99 120 130 210 230 240 260 30104 30108 31010 31018 301010 301012 301014 301015 301017 301018 301021 301022 302010 302011 302015 302016 302017 302018 302027 311010 602017 605018 605029 605036 Sysmiss Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) What is the distance from your household to this point of service? ONE WAY. KM. Find out the distance from the dwelling/residence to the point of service (health facility where the sick person was taken to seek care) . Distance can be obtained from any knowledgeable person including health worker, school teacher, student, religious leader etc. Distance is also commonly given in terms of time e.g. 20 minutes, 45 minutes or 1 hour walk. In this case a standard conversion factor is going to be used (On average a person takes 1 hour to walk a distance of 5 km). ALL household members >=12 years old. 900 8132 700 7.492 30.101 Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) For the last visit, how much time did it take you to travel to and from your household to the institution? Hours. Find out the time it took to travel to the institution in the last time the sick person was taken to the institution. This is regardless of the mode of transport used. Enter time in hours and minutes as instructed in the questionnaire. ALL household members >=12 years old. 837 8195 35 1.832 3.857 Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) For the last visit, how much time did it take you to travel to and from your household to the institution? Minutes. Find out the time it took to travel to the institution in the last time the sick person was taken to the institution. This is regardless of the mode of transport used. Enter time in hours and minutes as instructed in the questionnaire. ALL household members >=12 years old. 820 8212 -1 90 16.202 15.675 Waiting time in Institution (hours) Waiting time in Institution (hours) Waiting time in Institution (hours) Waiting time in Institution (hours) Waiting time in Institution (hours) For the last visit, how much time did you wait to be seen in the institution? Hours. The last time the sick person was taken to the institution, find out how long it took to wait in order to be attended to by the health care provider at the institution. Enter time in hours and minutes. ALL household members >=12 years old. 773 8259 35 0.984 2.963 Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) For the last visit, how much time did you wait to be seen in the institution? Minutes. The last time the sick person was taken to the institution, find out how long it took to wait in order to be attended to by the health care provider at the institution. Enter time in hours and minutes. ALL household members >=12 years old. 841 8191 96 15.025 14.214 Attended by (personnel) Attended by (personnel) Attended by (personnel) Attended by (personnel) Attended by (personnel) For the last visit, who attended to you during the consultation? Indicate the most qualified person. For example, if during the consultation, a nurse, and then a doctor were consulted, the answer category entered should be 'medical doctor'. ALL household members >=12 years old. 897 8135 1 Doctor/Clinical Officer 2 Nurse/Midwife 3 Community Health Worker 4 Lab Technician 5 Pharmacist 6 Traditional Healer 7 Spiritual Healer 8 Drug Seller 9 Temporary Worker 10 Environmental Health Technician 96 Other Sysmiss Doctor/Clinical Officer: a Doctor is a qualified person licensed to practice medicine. He/she may be a specialist/expert in such areas as bones, children, reproduction etc. Nurse/Midwife: a nurse is a person usually a woman who looks after the sick or injured in a health facility while a midwife is a qualified birth attendant. Community Health Worker: Is a medical assistant who has been trained by the Ministry of Health to help people living in respective localities. They help sick people right in their homes, e.g. the chronically ill. Lab Technician: A person skilled in mechanical, industrial or in particular technical field. In this case a person employed to work in a laboratory A pharmacist is a person rather than a Nurse or Medical Doctor qualified to prepare and dispense drugs. Usually work in health facilities or Pharmacy/Chemist (Big shops for selling drugs) to buyers who in most cases produce a prescription from a health facility). Traditional Healer: A person who handles customs and beliefs from generations to restore to health, to friendly relations, to peace etc. In most cases uses herbs to cure diseases. Spiritual Healer: Is the person who relates to the spirit or soul and minds of the persons seeking assistance or healing. They see things and pray for the sick to heal. Drug Seller: The person who sells drugs or medicine in a drug store, Kantemba, chemist etc. Temporary worker is someone who is not permanently employed e.g. a student or a volunteer at a health facility. Environmental Health Technician: A person skilled in environmental health, ensures surrounding is kept clean to reduce or get rid of health hazards such as garbage, stagnant water etc. Other, Specify: Any other health personnel who can attend to a sick person at the point of service. Illness diagnosis method Illness diagnosis method Illness diagnosis method Illness diagnosis method Illness diagnosis method How was your illness diagnosed? If answer is 1, 2 or 5 > Go to 10.20 (b1_20 - variable name in dataset). Determine how the illness was detected or identified in the sick person. Was it by symptomatic diagnosis (identify illness using symptoms or description of the pain given by the sick person), clinical diagnosis (by physical examination)-examining the sick person by touching or checking the affected part(s) of the body, microscopy/blood slide (diagnosis by examining blood sample using a microscope). ALL household members >=12 years old. 891 8141 1 Symptomatic Diagnosis (by provider) 2 Clinical Diagnosis (by provider with physical laboratory investigation) 3 Microscopy/Blood Slide 4 Rapid Diagnostic Test (RDT) 5 X-ray 45 96 Other 99 Sysmiss Malaria Test Result Malaria Test Result Malaria Test Result Malaria Test Result Malaria Test Result If the member of hhd was tested for malaria, what was the result of the lab / RDT test? THE TEST IS POSITIVE (+) IF THE RESPONDENT HAS/HAD MALARIA. Ask only for those who had their blood samples taken. Find out if he/she was tested for malaria, and if so, what was the test result. Was it positive (malaria parasites present in the blood) or negative (malaria parasites absent in the blood). ALL household members >=12 years old. 227 8805 1 Positive 2 Negative 3 Not Valid 4 Sysmiss Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees In the last 4 weeks, how much did you spend for treatment at this institution on the following….? Registration Fees. Record the amount spent on registration, consultation, laboratory and transportation. If the medicine was given without any consultation or laboratory tests, then enter zero in the “consultation column” and the “laboratory column”. ALL household members >=12 years old. 889 8143 75000 398.201 2851.81 Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees In the last 4 weeks, how much did you spend for treatment at this institution on the following….? Consultation Fees. Record the amount spent on registration, consultation, laboratory and transportation. If the medicine was given without any consultation or laboratory tests, then enter zero in the “consultation column” and the “laboratory column”. ALL household members >=12 years old. 871 8161 36000 194.834 2026.385 Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees In the last 4 weeks, how much did you spend for treatment at this institution on the following….? Lab Fees. Record the amount spent on registration, consultation, laboratory and transportation. If the medicine was given without any consultation or laboratory tests, then enter zero in the “consultation column” and the “laboratory column”. ALL household members >=12 years old. 868 8164 15000 96.209 1060.03 Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation In the last 4 weeks, how much did you spend for treatment at this institution on the following….? Transportation. Record the amount spent on registration, consultation, laboratory and transportation. If the medicine was given without any consultation or laboratory tests, then enter zero in the “consultation column” and the “laboratory column”. ALL household members >=12 years old. 858 8174 500000 1239.521 18422.692 Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount IF THE PAYMENT WAS FORGONE / POSTPONED BECAUSE THE RESPONDENT COULD NOT AFFORD IT, RECORD THE TOTAL AMOUNT HERE. If the person could not afford to pay for any of the services in Q10.20 but was attended to without the charge or that it should be paid later, record the amount that was supposed to be paid. If two or more services were forgone/postponed, record the total. For example, Consultation fee (K5,000) and Laboratory fee (K3,000) are forgone, then the amount to be recorded here is K8,000. ALL household members >=12 years old. 823 8209 525000 1402.43 19795.053 Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) In the last 4 weeks, were you hospitalized to treat this illness? If answer is 2 > Go to 10.26 (b1_26 - variable name in dataset). Find out if the sick person was admitted in the hospital or clinic in the last four weeks in order to be treated for the illness. Those who were hospitalized but did not consult any health institution/personnel in Q10.08 include accident victims. ALL household members >=12 years old. 1699 7333 1 Yes 2 No 3 4 Sysmiss Public Institution Name Public Institution Name Public Institution Name Public Institution Name Public Institution Name PROBE FOR NAME OF PUBLIC HOSPITAL/CLINIC AND RECORD CODE. NAME. If it was a public hospital/clinic, find out the name and record the code. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to the enumerator. ALL household members >=12 years old. 59 Public Institution Code Public Institution Code Public Institution Code Public Institution Code Public Institution Code PROBE FOR NAME OF PUBLIC HOSPITAL/CLINIC AND RECORD CODE. CODE. If it was a public hospital/clinic, find out the name and record the code. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to the enumerator. ALL household members >=12 years old. 35 8997 1 302013 34525.457 97395.692 1 2 10 12 15 16 19 20 22 23 28 29 33 99 120 210 305 301014 302010 302013 Sysmiss Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount For how long were you hospitalized? Number. Find out how long the sick person was admitted at the hospital or clinic to treat the illness. Was it for hours, days, weeks? If the person is still hospitalized/admitted, record code 04. ALL household members >=12 years old. 48 8984 24 3.646 4.195 Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit For how long were you hospitalized? Unit. Find out how long the sick person was admitted at the hospital or clinic to treat the illness. Was it for hours, days, weeks? If the person is still hospitalized/admitted, record code 04. ALL household members >=12 years old. 44 8988 1 Hours 2 Days 3 Weeks 4 Still Hospitalized Sysmiss Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) In the last 4 weeks, how much did you spend on hospitalization to treat this illness? EXCLUDE COSTS RECORDED IN (10.20). WRITE "0" IF NOTHING. Record the amount spent on hospitalization/admission to treat the illness. If no money was spent on hospitalization, then enter zero. Also ensure that you are asking for admission fee and does not include the service charge in Q10.20. ALL household members >=12 years old. 55 8977 450000 12863.636 61727.332 Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) In the last 4 weeks, did you take any medication to treat this illness? If answer is 2 > Go to 10.33 (b1_33 - variable name in dataset). Find out if person took any medicine to treat the said illness. If NO go to Q10.33. ALL household members >=12 years old. 1605 7427 1 Yes 2 No Sysmiss Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) How long after the illness started did you start taking medication? This question is trying to find out how long it took after the sickness had started to start taking medicine to treat the illness. Was it within 24 hours, after 24 hours, within the same week, within 2 weeks or 3 weeks? ALL household members >=12 years old. 1257 7775 1 Within 24 hours 2 After 24 hours, next day 3 Same Week 4 Within 2 Weeks 5 Within 3 Weeks Sysmiss Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar In the last 4 weeks, did you take any of the following in order to treat your illness? SP/Fansidar. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1357 7675 1 Yes 2 No 3 5 13 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine In the last 4 weeks, did you take any of the following in order to treat your illness? Chloroquine. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1338 7694 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine In the last 4 weeks, did you take any of the following in order to treat your illness? Amodiaquine. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1336 7696 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets In the last 4 weeks, did you take any of the following in order to treat your illness? Quinine Tablets. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1345 7687 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables In the last 4 weeks, did you take any of the following in order to treat your illness? Quinine Injectables. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1339 7693 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter In the last 4 weeks, did you take any of the following in order to treat your illness? Artemeter. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1339 7693 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem In the last 4 weeks, did you take any of the following in order to treat your illness? Coartem. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1339 7693 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin In the last 4 weeks, did you take any of the following in order to treat your illness? Aspirin. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1338 7694 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol In the last 4 weeks, did you take any of the following in order to treat your illness? Acetaminophen / Paracetamol. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1341 7691 1 Yes 2 No 13 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen In the last 4 weeks, did you take any of the following in order to treat your illness? Ibuprofen (Brufen). PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1296 7736 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 In the last 4 weeks, did you take any of the following in order to treat your illness? OTHER, SPECIFY. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 1039 7993 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 In the last 4 weeks, did you take any of the following in order to treat your illness? OTHER, SPECIFY. PROVIDE SAMPLE BOXES FOR INTERVIEWER OF MAIN TYPES TO SHOW. List of medicines have been provided, read out each one of them to the respondent. Each interviewer will have sample boxes for all medicines listed here to show to the respondent who might not know them by name. If respondent mentions a medicine that is not on the list, record the name in the “other, specify column”. ALL household members >=12 years old. 711 8321 1 Yes 2 No 3 22 96 Other 99 DK Sysmiss Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Where did you obtain the medication? SP/Fansidar. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 283 8749 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Where did you obtain the medication? Chloroquine. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 28 9004 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Where did you obtain the medication? Amodiaquine. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 8 9024 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Where did you obtain the medication? Quinine Tablets. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 57 8975 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Where did you obtain the medication? Quinine Injectables. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 13 9019 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Where did you obtain the medication? Artemeter. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 6 9026 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Where did you obtain the medication? Coartem. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 276 8756 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Where did you obtain the medication? Aspirin. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 161 8871 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 22 96 Other Sysmiss Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Where did you obtain the medication? Acetaminophen / Paracetamol. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 853 8179 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Where did you obtain the medication? Ibuprofen (Brufen). You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 81 8951 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Where did you obtain the medication? OTHER, SPECIFY. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 354 8678 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Where did you obtain the medication? OTHER, SPECIFY. You are to record the code for the first institution or personnel where the medicine was obtained from, to cure the illness. The answer category 'personal supply' refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected herbs without going through an institution or anyone else. ALL household members >=12 years old. 36 8996 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other Sysmiss Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) IF PUBLIC HOSPITAL, CLINIC OR CENTER, PROBE FOR NAME OF FACILITY AND RECORD CODE. NAME. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. Public facility codebooks will be compiled per district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. ALL household members >=12 years old. 796 Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) IF PUBLIC HOSPITAL, CLINIC OR CENTER, PROBE FOR NAME OF FACILITY AND RECORD CODE. CODE. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. Public facility codebooks will be compiled per district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. ALL household members >=12 years old. 513 8519 -17 305 27.255 48.946 -17 1 2 3 4 6 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 32 33 35 36 39 40 54 72 99 120 130 210 230 240 260 305 Sysmiss Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? SP/Fansidar. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 459 8573 5000 419.39 959.454 Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Chloroquine. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 268 8764 6000 28.545 372.531 Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Amodiaquine. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 234 8798 Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Quinine Tablets. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 263 8769 10400 179.087 1281.779 Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Quinine Injectables. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 233 8799 10000 42.918 655.122 Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Artemeter. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 232 8800 2000 36.638 262.675 Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Coartem. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 358 8674 10000 145.528 932.495 Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Aspirin. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 321 8711 10000 123.364 688.011 Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Acetaminophen / Paracetamol. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 711 8321 7500 395.428 832.042 Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? Ibuprofen. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 285 8747 5000 118.772 555.39 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? OTHER, SPECIFY. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 474 8558 200000 1280.483 10220.996 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 In the last 4 weeks, how much did you spend on each of the following in order to treat your illness? OTHER, SPECIFY. IF ZERO, RECORD '00'. IF DON'T KNOW, RECORD '99'. Record how much was spent on each of the medicines taken in Q10.28. If the medicine was not bought or no money was paid e.g. just given by friends, neighbours, relatives, then record zero. ALL household members >=12 years old. 284 8748 20000 317.789 1701.321 Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) ADD & CONFIRM: IN THE LAST 4 WEEKS, HOW MUCH DID THE RESPONDENT SPEND ON DRUGS IN TOTAL? Go to 10.35 (b1_35 - variable name in dataset). Add the amount spent on each medicine, then confirm with the respondent by asking him/her for the total amount that was spent on medication alone in order to treat the illness. Then skip to Q10.35. ALL household members >=12 years old. 827 8205 20150 1175.03 2517.871 Reason for not taking medication Reason for not taking medication Reason for not taking medication Reason for not taking medication Reason for not taking medication Why didn't you take medication for the illness? If answer is 2, 3 or 5 > Go to 10.35 (b1_35 - variable name in dataset). There could be many reasons for not taking medication, but record only the main one. Possible answers have been provided. ALL household members >=12 years old. 346 8686 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Out of Stock 5 Wasn't Sick Enough 6 Doesn't Help 7 Afraid of Side Effects 96 Other Sysmiss Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on What information was this decision based on? Find out the information on which the decision not to take or give the sick person medication was based on. What was the source of information on which the decision in Q10.32 was made. Possible options have been provided. ALL household members >=12 years old. 121 8911 1 Previous Experience 2 Heard from friend 3 Heard in comunity 96 Other Sysmiss Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) In the last 4 weeks, how many days of work or other main activities did you miss due to poor health? Record the number of days that the sick person stayed away from doing usual activities like playing, going to school or working. Probe to be precise. ALL household members >=12 years old. 1612 7420 30 4.089 5.837 Missed Active days due to health during farming season (last Missed Active days due to health during farming season (last Missed Active days due to health during farming season (last Missed Active days due to health during farming season (last Missed Active days due to health during farming season (last IF THE RESPONDENT'S MAIN INCOME IS FROM FARMING, How many of these days occurred during the farming season? From the number of days the sick person stayed away from doing usual activities find out how many of them occurred during the farming season if person's main income was from farming. ALL household members >=12 years old. 1364 7668 60 1.641 4.316 Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) In the last 4 weeks, how many days have you been confined to bed due to poor health? Record the number of days that the sick person was confined/restricted to bed due to poor health. Probe to be precise. ALL household members >=12 years old. 1584 7448 60 2.396 4.744 Illness Outcome Illness Outcome Illness Outcome Illness Outcome Illness Outcome What was the outcome of your illness? Find out the result or effect of this illness. Was it full or partial recovery or have not yet recovered? Probe to get the closest answer. ALL household members >=12 years old. 1592 7440 1 Full recovery 2 Partial recovery 3 Not yet recovered Sysmiss Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) How many episodes of fever/malaria have you had in the last 3 months? IF NONE, GO TO 10.41 (b1_41 - variable name in dataset). Record the number of times the person had fever/malaria in the past 3 months. Episode is the occurrence or event, the number of times something has happened in a given period, in this case 3 months. ALL household members >=12 years old. 8686 346 8 0.217 0.586 Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) How many days of regular activity did you miss during these episodes of fever / malaria? Record the number of days the person stayed away from usual activity (e.g. income generating activity or any livelihood/employment/business) due to fever/malaria in the past 3 months. ALL household members >=12 years old. 1280 7752 60 3.522 5.093 Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Have you been continuously ill for at least 3 months in the last 12 months? If answer is 2 > Go to next section. Find out if person was constantly ill for a period of 3 months in the past 12 months. If the person was only sick for 3 months during the 12 months reference period, the answer should be NO. ALL household members >=12 years old. 7917 1115 1 Yes 2 No 8 Sysmiss Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) What have you been mainly suffering from? 1st. RECORD CODE(S) FROM 10.05, UP TO 2 DISEASES, BASED ON SEVERITY. If more than 1 illness, record the main 2. This question refers to the illness that the person suffered continuously/constantly for 3 months in Q10.41. ALL household members >=12 years old. 117 8915 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 23 Paralysis 96 Other Sysmiss Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) What have you been mainly suffering from? 2nd. RECORD CODE(S) FROM 10.05, UP TO 2 DISEASES, BASED ON SEVERITY. If more than 1 illness, record the main 2. This question refers to the illness that the person suffered continuously/constantly for 3 months in Q10.41. ALL household members >=12 years old. 40 8992 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 23 Paralysis 96 Other Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 9032 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 9032 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 9032 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 9032 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 9032 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 9032 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 7968 1064 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 8086 946 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 9022 10 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 5791 3241 1 30 6.035 2.688 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 14466 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 14466 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 14466 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 14466 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 14466 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 14466 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 14466 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 14466 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 12723 1743 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 12916 1550 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 14448 18 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 9242 5224 30 6.48 3.125 Person ID Person ID Person ID Person ID Person ID ID CODE All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 14088 378 96 3.73 2.575 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 96 Sysmiss Currently Pregnant Currently Pregnant Currently Pregnant Currently Pregnant Currently Pregnant Are you pregnant now? REMINDER NOTE: CIRCLE ID CODE OF PREGNANT WOMEN ON THE FLAP UNDER (1.09). IF NEVER BEEN PREGNANT WRITE 98 AND GO TO NEXT WOMAN. If answer is 2 > Go to 10.45 (b2_45 - variable name in dataset). If answer is 3 > Go to next section. Find out if the woman is currently pregnant. If has never been pregnant before, write 98 and skip to next woman but if has been pregnant before but not at the time of the interview skip to Q10.45. If she is in doubt, not sure whether is pregnant or not, record 03 and skip to next section. Remember to circle the codes of the pregnant women in the flap. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3099 11367 1 Yes 2 No 3 Not Sure 96 98 Sysmiss Months Pregnant Months Pregnant Months Pregnant Months Pregnant Months Pregnant How many months pregnant are you? Go to 10.46 (b2_46 - variable name in dataset). Find out the number of months the woman has been pregnant, from the time she conceived to the day of the interview. Probe to be precise. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 299 14167 10 5.679 2.419 Delivered in 2009 Delivered in 2009 Delivered in 2009 Delivered in 2009 Delivered in 2009 Have you delivered a baby in 2009? If answer is 2 > Go to next section. Ask only if the answer to Q10.43 is NO. Woman has been pregnant before but not at the time of the interview. Find out if she has given birth to a baby this year (2009). If she didn't go to next section. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 2570 11896 1 Yes 2 No 5 Sysmiss Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did you consult any health institution / personnel for antenatal care for this pregnancy? If answer is 2 > Go to 10.53 (b2_53 - variable name in dataset). Ask on both current pregnancy and that which was delivered in 2009. A health consultation is one where a person has approached or sought medical advice/attention from any medical officer, spiritual healer or traditional healer (including herbalists) whether at a public or private health institution or merely by calling a medical officer on a private engagement, or by consulting a church pastor. This consultation could even be done outside Zambia. Find out if she consulted any for antenatal care for this pregnancy. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 614 13852 1 Yes 2 No 5 Sysmiss Consulted Specialist Consulted Specialist Consulted Specialist Consulted Specialist Consulted Specialist Who did you see for antenatal care for this pregnancy? IF MORE THAN ONE, THEN THE PRIMARY POINT OF SERVICE. If more than one, record only the primary and qualified person. For example, if during the consultation, a nurse, and then a medical doctor were seen, the answer category entered should be 'medical doctor'. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 501 13965 1 Medical Doctor/Clinical Officer 2 Nurse/Midwife 3 Community Health Officer 4 Lab Technician 5 Pharmacist 6 Traditional Healer 7 Spiritual Healer 8 Traditional Birth Attendant 9 Family Member 10 Friend/Neighbor 11 Environmental Health Technician 96 Other Sysmiss Consultation Place Consultation Place Consultation Place Consultation Place Consultation Place Where did you seek antenatal care for this pregnancy? IF MORE THAN ONE, THEN PRIMARY. If more than one record only the primary/key point of service. You are to record the code for the first institution or personnel where she went to sought antenatal care for this pregnancy. Answer category number 12 “Home” is a situation where the medical personnel goes to attend to a pregnant woman at her home. For example a pregnant woman sends for a Community Health Worker to go to her home for antenatal consultation. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 495 13971 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditional Healer 9 10 Faith/Church Healer 11 Community Health Worker 12 Home 20 46 96 Other Sysmiss Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation How many months pregnant were you when you went for your first antenatal care visit for this pregnancy? Find out how old the pregnancy was when she first went for her first antenatal care visit at the institution, traditional healer, spiritualist etc.. . All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 501 13965 9 4.321 1.45 Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) What was the date of the first antenatal care visit for this pregnancy? Find out the date (month and year) when the woman went for her first antenatal care visit for the current pregnancy or the one she delivered in 2009, if she is not pregnant at the time of the interview but delivered within 2009. If she cannot recall the date, request for the antenatal care card if she visited the health institution and copy from there. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 488 13978 99 6.248 5.326 1 2 3 4 5 6 7 8 9 10 11 12 99 Sysmiss Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) What was the date of the first antenatal care visit for this pregnancy? Find out the date (month and year) when the woman went for her first antenatal care visit for the current pregnancy or the one she delivered in 2009, if she is not pregnant at the time of the interview but delivered within 2009. If she cannot recall the date, request for the antenatal care card if she visited the health institution and copy from there. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 488 13978 8 2009 1875.469 497.04 8 9 17 1008 2007 2008 2009 Sysmiss Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) How many times did you receive antenatal care for this pregnancy? IF ONCE, GO TO 10.54 (b2_54 - variable name in dataset). Record the number of times she received antenatal care from qualified personnel. If she cannot recall, ask for the antenatal care card if she visited the health institution. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 499 13967 1 9 3.273 1.675 Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant How many months pregnant were you when you went for your last antenatal care visit for this pregnancy? Find out how old the pregnancy was the last time the woman went for antenatal care visit at the formal health institution/personnel. The visit referred to is the one just before delivery (2009) or before the day of the interview for the one who is currently pregnant. Record in months. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 439 14027 1 10 7.699 1.719 Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 1st. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 126 14340 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 2nd. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 27 14439 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 3rd. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 17 14449 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy During this pregnancy, did you take any drugs to prevent you from getting malaria? If answer is 2 > Go to next section. Find out if woman took any anti-malaria drugs to prevent her from getting sick of malaria. The drugs might have been obtained from the health institution or bought from a drug store or given by friend, neighbours etc. If did not take any such drugs skip to next section. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 571 13895 1 Yes 2 No Sysmiss Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP What drugs did you take? Fansidar/SP. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 412 14054 1 Yes 2 No Sysmiss Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine What drugs did you take? Chloroquine. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 339 14127 1 Yes 2 No Sysmiss Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other What drugs did you take? OTHER, SPECIFY. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 319 14147 1 Yes 2 No 96 Sysmiss Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Where did you get these drugs? Fansidar/SP. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 345 14121 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 20 96 Other Sysmiss Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Where did you get these drugs? Chloroquine. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 8 14458 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 96 Other Sysmiss Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Where did you get these drugs? OTHER, SPECIFY. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 117 14349 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 96 Other Sysmiss Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP How many doses of each drug did you take? Fandisar/SP. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 335 14131 4 2.051 0.932 Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine How many doses of each drug did you take? Chloroquine. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 16 14450 4 1.313 1.662 Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other How many doses of each drug did you take? OTHER, SPECIFY. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 104 14362 30 2.5 4.865 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 3108 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 3108 Person ID Person ID Person ID Person ID Person ID ID CODE All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3099 9 Currently Pregnant Currently Pregnant Currently Pregnant Currently Pregnant Currently Pregnant Are you pregnant now? REMINDER NOTE: CIRCLE ID CODE OF PREGNANT WOMEN ON THE FLAP UNDER (1.09). IF NEVER BEEN PREGNANT WRITE 98 AND GO TO NEXT WOMAN. If answer is 2 > Go to 10.45 (b2_45 - variable name in dataset). If answer is 3 > Go to next section. Find out if the woman is currently pregnant. If has never been pregnant before, write 98 and skip to next woman but if has been pregnant before but not at the time of the interview skip to Q10.45. If she is in doubt, not sure whether is pregnant or not, record 03 and skip to next section. Remember to circle the codes of the pregnant women in the flap. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3065 43 1 Yes 2 No 3 Not Sure 96 98 Sysmiss Months Pregnant Months Pregnant Months Pregnant Months Pregnant Months Pregnant How many months pregnant are you? Go to 10.46 (b2_46 - variable name in dataset). Find out the number of months the woman has been pregnant, from the time she conceived to the day of the interview. Probe to be precise. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 300 2808 1 99 6.317 7.966 Delivered in 2009 Delivered in 2009 Delivered in 2009 Delivered in 2009 Delivered in 2009 Have you delivered a baby in 2009? If answer is 2 > Go to next section. Ask only if the answer to Q10.43 is NO. Woman has been pregnant before but not at the time of the interview. Find out if she has given birth to a baby this year (2009). If she didn't go to next section. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 2545 563 1 Yes 2 No Sysmiss Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did consult health antenatal institution/personel (this preg Did you consult any health institution / personnel for antenatal care for this pregnancy? If answer is 2 > Go to 10.53 (b2_53 - variable name in dataset). Ask on both current pregnancy and that which was delivered in 2009. A health consultation is one where a person has approached or sought medical advice/attention from any medical officer, spiritual healer or traditional healer (including herbalists) whether at a public or private health institution or merely by calling a medical officer on a private engagement, or by consulting a church pastor. This consultation could even be done outside Zambia. Find out if she consulted any for antenatal care for this pregnancy. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 618 2490 1 Yes 2 No Sysmiss Consulted Specialist Consulted Specialist Consulted Specialist Consulted Specialist Consulted Specialist Who did you see for antenatal care for this pregnancy? IF MORE THAN ONE, THEN THE PRIMARY POINT OF SERVICE. If more than one, record only the primary and qualified person. For example, if during the consultation, a nurse, and then a medical doctor were seen, the answer category entered should be 'medical doctor'. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 500 2608 1 Medical Doctor/Clinical Officer 2 Nurse/Midwife 3 Community Health Officer 4 Lab Technician 5 Pharmacist 6 Traditional Healer 7 Spiritual Healer 8 Traditional Birth Attendant 9 Family Member 10 Friend/Neighbor 11 Environmental Health Technician 96 Other Sysmiss Consultation Place Consultation Place Consultation Place Consultation Place Consultation Place Where did you seek antenatal care for this pregnancy? IF MORE THAN ONE, THEN PRIMARY. If more than one record only the primary/key point of service. You are to record the code for the first institution or personnel where she went to sought antenatal care for this pregnancy. Answer category number 12 “Home” is a situation where the medical personnel goes to attend to a pregnant woman at her home. For example a pregnant woman sends for a Community Health Worker to go to her home for antenatal consultation. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 494 2614 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditional Healer 9 10 Faith/Church Healer 11 Community Health Worker 12 Home 20 46 96 Other Sysmiss Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation Months Pregnant at 1st consultation How many months pregnant were you when you went for your first antenatal care visit for this pregnancy? Find out how old the pregnancy was when she first went for her first antenatal care visit at the institution, traditional healer, spiritualist etc.. . All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 499 2609 Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) Antenatal care consultation date (month) What was the date of the first antenatal care visit for this pregnancy? Find out the date (month and year) when the woman went for her first antenatal care visit for the current pregnancy or the one she delivered in 2009, if she is not pregnant at the time of the interview but delivered within 2009. If she cannot recall the date, request for the antenatal care card if she visited the health institution and copy from there. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 487 2621 Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) Antenatal care consultation date (year) What was the date of the first antenatal care visit for this pregnancy? Find out the date (month and year) when the woman went for her first antenatal care visit for the current pregnancy or the one she delivered in 2009, if she is not pregnant at the time of the interview but delivered within 2009. If she cannot recall the date, request for the antenatal care card if she visited the health institution and copy from there. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 486 2622 Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) Current/Last Pregnancy care received (times) How many times did you receive antenatal care for this pregnancy? IF ONCE, GO TO 10.54 (b2_54 - variable name in dataset). Record the number of times she received antenatal care from qualified personnel. If she cannot recall, ask for the antenatal care card if she visited the health institution. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 498 2610 Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant Last Antenatal consultation/ months pregnant How many months pregnant were you when you went for your last antenatal care visit for this pregnancy? Find out how old the pregnancy was the last time the woman went for antenatal care visit at the formal health institution/personnel. The visit referred to is the one just before delivery (2009) or before the day of the interview for the one who is currently pregnant. Record in months. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 439 2669 Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 1st. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 126 2982 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 2nd. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 27 3081 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Reason for not consulting formal health institution/personne Why didn't you consult any formal health institution/personnel for antenatal care for this pregnancy? 3rd. Ask only if Q10.46 is NO. Find out the reasons for not consulting any health institution/personnel for antenatal care, then try and see which one matches any of the answer categories that have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 17 3091 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Self-Treated 5 Wasn't Sick Enough 6 Facility has Poor Structure 7 Facility Poorly Stocked 8 Poor Staff Attitude 9 Poor Staff Knowledge 10 Don't trust Staff 11 Service Not Available 96 Other Sysmiss Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy Malaria Preventive Drugs taken during current pregnancy During this pregnancy, did you take any drugs to prevent you from getting malaria? If answer is 2 > Go to next section. Find out if woman took any anti-malaria drugs to prevent her from getting sick of malaria. The drugs might have been obtained from the health institution or bought from a drug store or given by friend, neighbours etc. If did not take any such drugs skip to next section. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 571 2537 1 Yes 2 No Sysmiss Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP Drugs taken 1/Fandisar/SP What drugs did you take? Fansidar/SP. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 412 2696 1 Yes 2 No Sysmiss Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine Drugs taken 2/Chloroquine What drugs did you take? Chloroquine. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 340 2768 1 Yes 2 No Sysmiss Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other Drugs taken 3/Other What drugs did you take? OTHER, SPECIFY. This question is trying to determine the name of the anti-malaria drug that the pregnant woman took to prevent her from getting malaria. Is it “Fansidar” or “Chloroquine”? All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 317 2791 1 Yes 2 No 96 Sysmiss Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Drugs Obtention Place/Fandisar/SP Where did you get these drugs? Fansidar/SP. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 373 2735 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 96 Other Sysmiss Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Drugs Obtention Place/Chloroquine Where did you get these drugs? Chloroquine. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 7 3101 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 96 Other Sysmiss Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Drugs Obtention Place/Other Where did you get these drugs? OTHER, SPECIFY. Probe for the name of the place or institution/personnel where the drugs to prevent her from getting malaria were obtained during pregnancy. Possible answer categories for either fansidar or chloroquine have been provided. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 117 2991 1 Antenatal Visit 2 Community Health Worker 3 Traditional Healer 4 Family Member 5 Friend/Neighbor 96 Other Sysmiss Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP Drug Doses Taken QTY/Fandisar/SP How many doses of each drug did you take? Fandisar/SP. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 336 2772 Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine Drug Doses Taken QTY/Chloroquine How many doses of each drug did you take? Chloroquine. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 10 3098 Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other Drug Doses Taken QTY/Other How many doses of each drug did you take? OTHER, SPECIFY. The question is trying to find out the number of times prescribed amount or courses of fansidar or chloroquine were taken during the period she was pregnant. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 106 3002 99 3.425 10.536 Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3096 12 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3093 15 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3094 14 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3094 14 84 28.256 10.151 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 1784 1324 -71 99 5.17 4.528 All female household members 15-49 years old who are currently pregnant or have delivered in 2009. Multiple pregnancies should be recorded as one. 3094 14 -0.0833 1816 29.169 33.768 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 3108 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 3108 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 3108 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 3108 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 3108 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 3108 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 3106 2 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 3105 3 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 3107 1 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 3104 4 1 15 5.974 2.427 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 1167 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 1167 Person ID Person ID Person ID Person ID Person ID ID CODE Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 1166 1 Suffered from fever/malaria past 3 months: attended facility Suffered from fever/malaria past 3 months: attended facility Suffered from fever/malaria past 3 months: attended facility Suffered from fever/malaria past 3 months: attended facility Suffered from fever/malaria past 3 months: attended facility CHECK 10.39: IF YOU SUFFERED FROM FEVER/MALARIA IN THE PAST 1 MONTH, DID YOU ATTEND ANY HEALTH FACILITY AND/OR HAVE BEEN SEEN BY A COMMUNITY HEALTH WORKER (CHW)? If answer is 2 > Go to 10.64 (b3_64 - variable name in dataset). If answer is 4 > Go to next section. Ask only if person had malaria episodes in the past 3 month. If NO go to Next Section. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 1135 32 1 Facility 2 Only CHW 3 Both 4 No Sysmiss Satisfied with/Distance to point of service Satisfied with/Distance to point of service Satisfied with/Distance to point of service Satisfied with/Distance to point of service Satisfied with/Distance to point of service When you went to the health institution to seek care, how satisfied were you with the following? Distance to the point of service? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 481 686 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Distance to the point of service: the person's satisfaction on the distance travelled from the house to the health institution. Satisfied with/Transport to point of service Satisfied with/Transport to point of service Satisfied with/Transport to point of service Satisfied with/Transport to point of service Satisfied with/Transport to point of service When you went to the health institution to seek care, how satisfied were you with the following? Transport available to the point of service? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 480 687 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Transport available to the point of service: person's satisfaction on the availability of transport to the health institution. First determine the mode of transport used by the community to the health institution and its availability. Satisfied with/Cost of getting to point of service Satisfied with/Cost of getting to point of service Satisfied with/Cost of getting to point of service Satisfied with/Cost of getting to point of service Satisfied with/Cost of getting to point of service When you went to the health institution to seek care, how satisfied were you with the following? Cost of getting to the point of service? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 480 687 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cost of getting to the point of service: Find out how satisfied the person is on the money spent on transport and other expenses (food, accommodation etc) to get to the health institution. Satisfied with/Point of service operational hours Satisfied with/Point of service operational hours Satisfied with/Point of service operational hours Satisfied with/Point of service operational hours Satisfied with/Point of service operational hours When you went to the health institution to seek care, how satisfied were you with the following? Operational hours of the point of service? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 481 686 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Operational hours of the point of services: The number of hours or the time the health institution is open to attend to patients in a day. Is it enough for a reasonable number of patients to be attended to? Does it open early and close late or vice versa? Satisfied with/Registration paperwork time Satisfied with/Registration paperwork time Satisfied with/Registration paperwork time Satisfied with/Registration paperwork time Satisfied with/Registration paperwork time When you went to the health institution to seek care, how satisfied were you with the following? Time needed for paperwork and registration at point of service. Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 480 687 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Time needed for paperwork and registration at point of service: person's satisfaction on time required to register a patient and do other paperwork at the reception desk or consultation room before the sick person is examined. Satisfied with/Availability of waiting facilities Satisfied with/Availability of waiting facilities Satisfied with/Availability of waiting facilities Satisfied with/Availability of waiting facilities Satisfied with/Availability of waiting facilities When you went to the health institution to seek care, how satisfied were you with the following? Availability of facilities for waiting with family members? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 479 688 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Availability of facilities for waiting with family members: waiting room/lounge where family members and/or sick person can comfortably sit as they wait to be attended to at the institution. Satisfied with/Cleanliness of exam room and equipment Satisfied with/Cleanliness of exam room and equipment Satisfied with/Cleanliness of exam room and equipment Satisfied with/Cleanliness of exam room and equipment Satisfied with/Cleanliness of exam room and equipment When you went to the health institution to seek care, how satisfied were you with the following? Cleanliness of examination room and equipment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 480 687 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cleanliness of examination room and equipment: Find out if the person was happy with the level of hygiene in the room where the medical personnel carry out the examinations and that of the equipment used. Satisfied with/Cleanliness of point of service (waiting room Satisfied with/Cleanliness of point of service (waiting room Satisfied with/Cleanliness of point of service (waiting room Satisfied with/Cleanliness of point of service (waiting room Satisfied with/Cleanliness of point of service (waiting room When you went to the health institution to seek care, how satisfied were you with the following? Cleanliness of point of service (waiting room, bathrooms)? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cleanliness of point of service (waiting room and bathroom): hygiene/cleanliness in the waiting room and bathroom. Was the person satisfied, unsatisfied or neither of the two? Satisfied with/Enough doctors and nurses Satisfied with/Enough doctors and nurses Satisfied with/Enough doctors and nurses Satisfied with/Enough doctors and nurses Satisfied with/Enough doctors and nurses When you went to the health institution to seek care, how satisfied were you with the following? Enough number of doctors/ nurses/ attendees? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Number of doctors/nurses/attendees: Determine the level of satisfaction of the person with the number of medical personnel attending to sick people at the institution. Satisfied with/Privacy at front desk and during examination Satisfied with/Privacy at front desk and during examination Satisfied with/Privacy at front desk and during examination Satisfied with/Privacy at front desk and during examination Satisfied with/Privacy at front desk and during examination When you went to the health institution to seek care, how satisfied were you with the following? Privacy at the reception desk and during examination? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 477 690 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Privacy at the reception desk and during examination: level of satisfaction on privacy practiced by health personnel at the reception and during examination at the institution. For example, other people hearing everything that is being discussed at the reception and/or seeing how the health care provider is conducting a physical or symptomatic examination on the sick person. Satisfied with/Waitiing time before be treated Satisfied with/Waitiing time before be treated Satisfied with/Waitiing time before be treated Satisfied with/Waitiing time before be treated Satisfied with/Waitiing time before be treated When you went to the health institution to seek care, how satisfied were you with the following? Waiting time before being treated? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Waiting time before being treated: Satisfaction on the time spent waiting to receive medicine to treat the illness. Satisfied with/Medical staff taking enough time for treatmen Satisfied with/Medical staff taking enough time for treatmen Satisfied with/Medical staff taking enough time for treatmen Satisfied with/Medical staff taking enough time for treatmen Satisfied with/Medical staff taking enough time for treatmen When you went to the health institution to seek care, how satisfied were you with the following? Medical staff taking enough time for your treatment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff taking enough time for your treatment: Doctors/Clinical Officer/Nurses in a hurry or taking their time to carry out diagnosis and administer medication. Satisfied with/Medical staff helpful and responsive Satisfied with/Medical staff helpful and responsive Satisfied with/Medical staff helpful and responsive Satisfied with/Medical staff helpful and responsive Satisfied with/Medical staff helpful and responsive When you went to the health institution to seek care, how satisfied were you with the following? Medical staff being helpful and responsive? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff being helpful and responsive: Medical staff being supportive and quick to respond to situations. Determine the level of satisfaction the person was with that. Satisfied with/Medical staff showing respect Satisfied with/Medical staff showing respect Satisfied with/Medical staff showing respect Satisfied with/Medical staff showing respect Satisfied with/Medical staff showing respect When you went to the health institution to seek care, how satisfied were you with the following? Medical staff showing respect? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff showing respect: Medical staff showing some regard to the patients or people that get to the institution for assistance. Satisfied with/Medical staff asking for feedback and complai Satisfied with/Medical staff asking for feedback and complai Satisfied with/Medical staff asking for feedback and complai Satisfied with/Medical staff asking for feedback and complai Satisfied with/Medical staff asking for feedback and complai When you went to the health institution to seek care, how satisfied were you with the following? Medical staff asking for your feedback and complaints? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff asking for your feedback and complaints: Medical staff (e.g. doctor/nurse) asking for further explanation on how the sick person is feeling. Satisfied with/Diagnosis Explanation Satisfied with/Diagnosis Explanation Satisfied with/Diagnosis Explanation Satisfied with/Diagnosis Explanation Satisfied with/Diagnosis Explanation When you went to the health institution to seek care, how satisfied were you with the following? Getting an explanation about the diagnosis? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Getting an explanation about the diagnosis: Getting explaining on the findings of the medical examination from medical personnel. Satisfied with/Treatment Purpose Explanation Satisfied with/Treatment Purpose Explanation Satisfied with/Treatment Purpose Explanation Satisfied with/Treatment Purpose Explanation Satisfied with/Treatment Purpose Explanation When you went to the health institution to seek care, how satisfied were you with the following? Getting an explanation about the purpose of the treatment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 478 689 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Getting an explanation about the purpose of the treatment: Getting explanation on the kind of illness that is being treated. Satisfied with/Understanding the diagnosis Satisfied with/Understanding the diagnosis Satisfied with/Understanding the diagnosis Satisfied with/Understanding the diagnosis Satisfied with/Understanding the diagnosis When you went to the health institution to seek care, how satisfied were you with the following? Understanding the diagnosis? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 477 690 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Understanding the diagnosis: Understanding the findings of the medical examination when the medical personnel give an explanation. Satisfied with/Receiving further treatment information Satisfied with/Receiving further treatment information Satisfied with/Receiving further treatment information Satisfied with/Receiving further treatment information Satisfied with/Receiving further treatment information When you went to the health institution to seek care, how satisfied were you with the following? Receiving information about further treatment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Receiving information about further treatment: Information about additional medication to cure the illness if the preceding medicine was unsuccessful. Satisfied with/Receiving treatment side-effects information Satisfied with/Receiving treatment side-effects information Satisfied with/Receiving treatment side-effects information Satisfied with/Receiving treatment side-effects information Satisfied with/Receiving treatment side-effects information When you went to the health institution to seek care, how satisfied were you with the following? Receiving information about side-effects of treatment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Receiving information about side effects of treatment: To be provided with adequate information about the negative/positive impacts of a kind of medication being administered to a patient. Satisfied with/Cost of treatment (out of pocket) Satisfied with/Cost of treatment (out of pocket) Satisfied with/Cost of treatment (out of pocket) Satisfied with/Cost of treatment (out of pocket) Satisfied with/Cost of treatment (out of pocket) When you went to the health institution to seek care, how satisfied were you with the following? Cost of treatment (out of pocket)? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cost of treatment (out of pocket): Satisfaction on the amount paid to cure the illness. Out of pocket is money from your own pocket Satisfied with/Clarity regarding Cost of treatment Satisfied with/Clarity regarding Cost of treatment Satisfied with/Clarity regarding Cost of treatment Satisfied with/Clarity regarding Cost of treatment Satisfied with/Clarity regarding Cost of treatment When you went to the health institution to seek care, how satisfied were you with the following? Clarity about cost of treatment? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Clarity about cost of treatment: Transparency in disclosing the cost of the entire treatment (cost of curing the illness). Satisfied with/Clarity regarding medication cost Satisfied with/Clarity regarding medication cost Satisfied with/Clarity regarding medication cost Satisfied with/Clarity regarding medication cost Satisfied with/Clarity regarding medication cost When you went to the health institution to seek care, how satisfied were you with the following? Clarity about cost of medication? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Clarity about cost of medication: Transparency in disclosing the cost of the medicine or drugs. Satisfied with/Drug availability at service point Satisfied with/Drug availability at service point Satisfied with/Drug availability at service point Satisfied with/Drug availability at service point Satisfied with/Drug availability at service point When you went to the health institution to seek care, how satisfied were you with the following? Point of service having sufficient medication and drugs available? Determine the level of satisfaction/happiness/fulfilment of each household member at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 476 691 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Point of service having sufficient medication and drugs available: Point of service well stocked with medicines/having enough medicine. Recommend this Health Facility to tohers Recommend this Health Facility to tohers Recommend this Health Facility to tohers Recommend this Health Facility to tohers Recommend this Health Facility to tohers Would you recommend the health institution to others? If answer is 1 > Go to 10.62 (b3_62 - variable name in dataset). Find out if the respondent would encourage other people to go or take their patients to the same institution for medical consultation or treatment. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 464 703 1 Yes 2 No Sysmiss Reason for not Recommending (facility) Reason for not Recommending (facility) Reason for not Recommending (facility) Reason for not Recommending (facility) Reason for not Recommending (facility) Why wouldn't you recommend it? Find out the reason for not encouraging other people to go to the same institution for medical consultation and/or treatment. Is it because of poor quality of care, medical staff not helpful, treatment too expensive or facility not clean? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 52 1115 1 Poor Quality of Care 2 Medical Staff not Helpful 3 Treatment too Expensive 4 Facility not Clean 96 Other Sysmiss Transferred to other health facility Transferred to other health facility Transferred to other health facility Transferred to other health facility Transferred to other health facility Were you transferred for the treatment of this illness to another clinic/hospital? If answer is 1 > Go to 10.64 (b3_64 - variable name in dataset). Find out if the sick person was moved from this facility to another clinic/hospital for further and appropriate treatment. Follow closely the skip instructions. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 474 693 1 Yes 2 No Sysmiss Satisfaction with transfer procedures Satisfaction with transfer procedures Satisfaction with transfer procedures Satisfaction with transfer procedures Satisfaction with transfer procedures How satisfied were you with the transfer process? Clarity about transfer procedures? PROBE WHETHER … RECEIVED A REFERRAL LETTER. ? Find out if the person received a referral letter of transfer to another clinic/hospital, and determine the level of satisfaction. Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 5 1162 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Seen by Comm Healt Worker (last 4 weeks) Seen by Comm Healt Worker (last 4 weeks) Seen by Comm Healt Worker (last 4 weeks) Seen by Comm Healt Worker (last 4 weeks) Seen by Comm Healt Worker (last 4 weeks) Were you seen by a Community Health Worker (CHW) during this 1 month? If answer is 2 > Go to Section 11. If NO skip to next section. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 477 690 1 Yes 2 No 3 Sysmiss Satisfied with/Helpful and Responsive CHW Satisfied with/Helpful and Responsive CHW Satisfied with/Helpful and Responsive CHW Satisfied with/Helpful and Responsive CHW Satisfied with/Helpful and Responsive CHW How satisfied were you with the following? Community Health Workers being helpful and responsive? Ask only if the person was attended to by a Community Health Worker. Find out the level of happiness or fulfilment from the services of the CHW. Was the respondent satisfied, neither satisfied nor unsatisfied or unsatisfied? Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 59 1108 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Community health workers being helpful and responsive: Find out if the CHW was helpful and quick to respond to situations. If he/she was, determine the respondent's level of happiness with that. Satisfied with/Enough CHW Satisfied with/Enough CHW Satisfied with/Enough CHW Satisfied with/Enough CHW Satisfied with/Enough CHW How satisfied were you with the following? Enough community health workers? Ask only if the person was attended to by a Community Health Worker. Find out the level of happiness or fulfilment from the services of the CHW. Was the respondent satisfied, neither satisfied nor unsatisfied or unsatisfied? Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 59 1108 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Number of Community Health Workers: Number of Community Health Workers attending to sick people in the community. Satisfied with/CHW's time availability Satisfied with/CHW's time availability Satisfied with/CHW's time availability Satisfied with/CHW's time availability Satisfied with/CHW's time availability How satisfied were you with the following? Community Health Worker's time availability to attend to you? Ask only if the person was attended to by a Community Health Worker. Find out the level of happiness or fulfilment from the services of the CHW. Was the respondent satisfied, neither satisfied nor unsatisfied or unsatisfied? Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 59 1108 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Community Health Worker's time availability to attend to you: CHW taking enough time attending to the sick person. Satisfied with/CHW respecfulness Satisfied with/CHW respecfulness Satisfied with/CHW respecfulness Satisfied with/CHW respecfulness Satisfied with/CHW respecfulness How satisfied were you with the following? Community Health Workers show respect? Ask only if the person was attended to by a Community Health Worker. Find out the level of happiness or fulfilment from the services of the CHW. Was the respondent satisfied, neither satisfied nor unsatisfied or unsatisfied? Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 59 1108 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Community Heath Workers show respect: CHWs showing some regard to the sick person and people in the community. Satisfied with/CHW as role models Satisfied with/CHW as role models Satisfied with/CHW as role models Satisfied with/CHW as role models Satisfied with/CHW as role models How satisfied were you with the following? Community Health Worker are good role models? Ask only if the person was attended to by a Community Health Worker. Find out the level of happiness or fulfilment from the services of the CHW. Was the respondent satisfied, neither satisfied nor unsatisfied or unsatisfied? Refer to Q10.60. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 59 1108 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Community Health Workers are good role models: CHWs are excellent job representations/hard working, they are people that inspire others because of their dedication to work. Recommend CHW to others Recommend CHW to others Recommend CHW to others Recommend CHW to others Recommend CHW to others Would you recommend Community Health Workers to others? If answer is 1 > Go to Section 11. Find out if the respondent would encourage other people to visit the Community Health Workers for care or treatment. If YES skip to next Section. Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 54 1113 1 Yes 2 No Sysmiss Reason for not Recommending (CHW) Reason for not Recommending (CHW) Reason for not Recommending (CHW) Reason for not Recommending (CHW) Reason for not Recommending (CHW) Why wouldn't you recommend them? Find out the reason for not encouraging other people to seek medical care or treatment from the community health workers. Is it because of poor quality of care, not helpful, treatment too expensive or difficult to access CHWs? Household member >=12 years old who reported the most recent case of fever / malaria episode in the HH (within 1 month). 3 1164 1 Poor Quality of Care 2 Medical Staff not Helpful 3 Treatment too Expensive 4 Facility not Clean 96 Other Sysmiss Poor Quality of Care: CHWs don't take very good care of patients e.g. shouting at them anyhow, not explaining the purpose for medication clearly. Not helpful: For example, CHWs not supportive, not accommodating and generally not paying attention to patients. Treatment too expensive: Cost of curing illness too high. This is in a situation where CHWs charge for treatment. Difficult to access CHWs: CHWs are not usually found or they live in faraway places or they are not just easily approachable. Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 1162 5 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 1162 5 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 1162 5 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 1162 5 1 87 35.372 17.711 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 644 523 -71 13 4.936 4.549 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1162 5 1.75 122 35.66 17.876 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 1167 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 1167 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 1167 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 1167 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 1167 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 1167 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 1167 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 1167 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 1167 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1166 1 1 14 5.372 2.458 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 5142 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 5142 Mental Health/Thinking too Much Mental Health/Thinking too Much Mental Health/Thinking too Much Mental Health/Thinking too Much Mental Health/Thinking too Much I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Thinking too much? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5105 37 1 Often 2 Sometimes 3 Never 4 Sysmiss Thinking too much: For example someone having too many things to do and is stressed. Mental Health/Headaches Mental Health/Headaches Mental Health/Headaches Mental Health/Headaches Mental Health/Headaches I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Headaches? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5096 46 1 Often 2 Sometimes 3 Never Sysmiss Mental Health/Things crawling through body Mental Health/Things crawling through body Mental Health/Things crawling through body Mental Health/Things crawling through body Mental Health/Things crawling through body I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Things crawling through your body? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Things crawling through your body: Any feeling of things like insects moving on the body. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5141 1 1 Often 2 Sometimes 3 Never Sysmiss Mental Health/Dizziness Mental Health/Dizziness Mental Health/Dizziness Mental Health/Dizziness Mental Health/Dizziness I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Dizziness? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5138 4 1 Often 2 Sometimes 3 Never Sysmiss Dizziness: A feeling of faintness or weakness. Mental Health/Crying alone Mental Health/Crying alone Mental Health/Crying alone Mental Health/Crying alone Mental Health/Crying alone I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Crying alone? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5139 3 1 Often 2 Sometimes 3 Never Sysmiss Crying alone: weeping without any common cause. Mental Health/Inability to Focus Mental Health/Inability to Focus Mental Health/Inability to Focus Mental Health/Inability to Focus Mental Health/Inability to Focus I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Inability to focus? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5139 3 1 Often 2 Sometimes 3 Never Sysmiss Inability to focus: Not being able to pay attention to anything. Mental Health/Problems making feel worried Mental Health/Problems making feel worried Mental Health/Problems making feel worried Mental Health/Problems making feel worried Mental Health/Problems making feel worried I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Problems which make you feel worried? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5138 4 1 Often 2 Sometimes 3 Never 4 Sysmiss Problems which make you feel worried: Difficulties or troubles which make the person to be bothered or nervous. Mental Health/Wanting to be alone Mental Health/Wanting to be alone Mental Health/Wanting to be alone Mental Health/Wanting to be alone Mental Health/Wanting to be alone I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Wanting to be alone? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss Wanting to be alone: Feeling of desiring to be in isolation, away from others. Mental Health/Sleeping troubles Mental Health/Sleeping troubles Mental Health/Sleeping troubles Mental Health/Sleeping troubles Mental Health/Sleeping troubles I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Problems getting to sleep or opening eyes too early? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss Problems getting to sleep or opening eyes too early: Experiencing difficulties in getting to sleep or waking up. Mental Health/Things coming to mind interferes eith daily wo Mental Health/Things coming to mind interferes eith daily wo Mental Health/Things coming to mind interferes eith daily wo Mental Health/Things coming to mind interferes eith daily wo Mental Health/Things coming to mind interferes eith daily wo I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Daily work suffering due to things that keep coming into your mind? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5138 4 1 Often 2 Sometimes 3 Never Sysmiss Daily work suffering due to things that keep coming into your mind: Daily work being affected because of disturbing thoughts running through one's mind. Mental Health/Slowed down (taking longer in doing things) Mental Health/Slowed down (taking longer in doing things) Mental Health/Slowed down (taking longer in doing things) Mental Health/Slowed down (taking longer in doing things) Mental Health/Slowed down (taking longer in doing things) I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Slowed down and taking longer in your way of doing things? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5137 5 1 Often 2 Sometimes 3 Never Sysmiss Slowed down and taking longer in your way of doing things: Reduced pace of doing things (work, playing etc) because of the way he/she has been feeling. Mental Health/Short tempered Mental Health/Short tempered Mental Health/Short tempered Mental Health/Short tempered Mental Health/Short tempered I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? More short tempered than usual? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss More short tempered than usual: Being irritable or angered easily than he/she has normally been. Mental Health/Loss of interest in food Mental Health/Loss of interest in food Mental Health/Loss of interest in food Mental Health/Loss of interest in food Mental Health/Loss of interest in food I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Loss of interest in food? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss Loss of interest in food: lack of hunger or appetite or desire for food. Mental Health/Frightened with fast heart beating Mental Health/Frightened with fast heart beating Mental Health/Frightened with fast heart beating Mental Health/Frightened with fast heart beating Mental Health/Frightened with fast heart beating I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Frightened with your heart beating fast in your chest? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss Frightened with your heart beating fast in your chest: Scared or alarmed by own heart beat-heart beating very fast. Mental Health/Deep sadness Mental Health/Deep sadness Mental Health/Deep sadness Mental Health/Deep sadness Mental Health/Deep sadness I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Deep sadness It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5140 2 1 Often 2 Sometimes 3 Never Sysmiss Deep sadness: Strong unhappiness or misery. Mental Health/Feeling beneath others Mental Health/Feeling beneath others Mental Health/Feeling beneath others Mental Health/Feeling beneath others Mental Health/Feeling beneath others I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Less self worth than/ beneath other people It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5138 4 1 Often 2 Sometimes 3 Never Sysmiss Less worth than/beneath other people: To feel less important than other people around you. Mental Health/No longer enjoying things Mental Health/No longer enjoying things Mental Health/No longer enjoying things Mental Health/No longer enjoying things Mental Health/No longer enjoying things I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? No longer enjoying the things you used to enjoy in life? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5139 3 1 Often 2 Sometimes 3 Never Sysmiss No longer enjoying the things you used to enjoy in life: Not liking the things he/she used to enjoy the most e.g. reading books, watching sports, travelling or eating fried fresh fish. Mental Health/Feeling exhausted even if not work Mental Health/Feeling exhausted even if not work Mental Health/Feeling exhausted even if not work Mental Health/Feeling exhausted even if not work Mental Health/Feeling exhausted even if not work I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Exhausted and worn out even when you are not working hard? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5133 9 1 Often 2 Sometimes 3 Never Sysmiss Exhausted and worn out even when you are not working hard: Getting tired in the body even when he/she hasn't been doing anything difficult. Mental Health/Feel Life is hopeless Mental Health/Feel Life is hopeless Mental Health/Feel Life is hopeless Mental Health/Feel Life is hopeless Mental Health/Feel Life is hopeless I would like to get an idea of how you have been feeling in the last 12 months. During the last 12 months, was there a time when you felt/did any of these nearly at least 2 weeks at a time? Felt like giving up, like life is hopeless? It might not have happened continuously for 2 weeks but at least had frequent occurrences during this period. Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5126 16 1 Often 2 Sometimes 3 Never Sysmiss Felt like giving up, like life is hopeless: A feeling of giving up on life. Person ID Person ID Person ID Person ID Person ID ID CODE Household members >=18 years old who reported the most recent illness in the past 1 month. If none was sick, select Head and Spouse or Head/spouse and anyother randomly. 5142 Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5134 8 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5133 9 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5133 9 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5132 10 107 38.257 15.579 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 2784 2358 -71 99 5.286 4.603 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5133 9 0.583 1837 39.466 41.176 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 5142 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 5142 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 5142 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 5142 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 5142 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 5142 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 5138 4 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 5137 5 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 5140 2 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 5135 7 1 15 5.25 2.334 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 5184 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 5184 Person ID Person ID Person ID Person ID Person ID ID CODE Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5144 40 Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5142 42 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5141 43 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5141 43 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5140 44 2 107 38.28 15.554 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 2790 2394 -71 99 5.282 4.601 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5141 43 1.083 1837 39.481 41.139 Tendence to/Bet 1 day income in a high stake game Tendence to/Bet 1 day income in a high stake game Tendence to/Bet 1 day income in a high stake game Tendence to/Bet 1 day income in a high stake game Tendence to/Bet 1 day income in a high stake game How likely are you to bet a day's income at a high-stake game, such as pick-a-lot? Find out the probability of the respondent to gamble a day's earning. To bet is to gamble or to play a game of chance. Below are the definitions of the levels of probability to gamble. Probability is the likelihood or possibility of doing something. In terms of percentages, the answer category should be; A likely and/or risky ranking module or scale will be given to all interviewers to help in explaining to the respondent in order to get precise responses. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5149 35 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Extremely likely: is 100% likely to bet a day's income. Very likely: is 75% likely to bet a day's income. Not sure: 50% likely to bet a day's income. Not very likely: 25% to bet a day's income. Extremely unlikely: 0% likely to bet a day's income, it is a certain rejection. Tendence to/Invest 1 month income in new farming technology Tendence to/Invest 1 month income in new farming technology Tendence to/Invest 1 month income in new farming technology Tendence to/Invest 1 month income in new farming technology Tendence to/Invest 1 month income in new farming technology How likely are you to invest 1 month's income in a new farming technology? Find out the probability of the respondent to invest or put in a month's earnings into a new farming skills e.g. machinery, equipment. Refer to Q11.02. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5147 37 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Tendence to/Invest 1 month income in new business venture Tendence to/Invest 1 month income in new business venture Tendence to/Invest 1 month income in new business venture Tendence to/Invest 1 month income in new business venture Tendence to/Invest 1 month income in new business venture How likely are you to invest 1 month's income in a new business venture? Find out the probability of the respondent to invest or put in a month's earnings into a new business. Refer to Q11.02 for answer categories. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5146 38 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Tendence to/Drink untreated water Tendence to/Drink untreated water Tendence to/Drink untreated water Tendence to/Drink untreated water Tendence to/Drink untreated water How likely are you to drink untreated water? Find out the probability of the respondent to drink untreated water. Refer to Q11.02 for answer categories. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5145 39 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Tendence to/Heavily drink on a social occasion Tendence to/Heavily drink on a social occasion Tendence to/Heavily drink on a social occasion Tendence to/Heavily drink on a social occasion Tendence to/Heavily drink on a social occasion How likely are you to drink alcohol heavily on a social occasion? Find out the probability of the respondent to drink beer heavily in a social occasion e.g. wedding, kitchen party or initiation ceremony. Refer to Q11.02 for answer categories. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5144 40 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Tendence to/Sleep under untreated net Tendence to/Sleep under untreated net Tendence to/Sleep under untreated net Tendence to/Sleep under untreated net Tendence to/Sleep under untreated net How likely are you to sleep without an insecticide-treated net to protect you from hazardous insects? Find out the probability of the respondent to sleep outside a treated mosquito net to protect the household from harmful insects such as mosquitoes. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5140 44 1 Extremely Likely 2 Very Likely 3 Not Sure 4 Not Very Likely 5 Extremely Unlikely Sysmiss Risk assessment/bet 1 day income on a game (pick-a-lot) Risk assessment/bet 1 day income on a game (pick-a-lot) Risk assessment/bet 1 day income on a game (pick-a-lot) Risk assessment/bet 1 day income on a game (pick-a-lot) Risk assessment/bet 1 day income on a game (pick-a-lot) How risky do you think it is that somebody bets a day's of his/her income on a game, such as pick-a-lot? Find out whether it is dangerous/hazardous to gamble the earnings from a day's work. If it is dangerous/hazardous, find out the extent or severity of the danger/hazard/risk. Refer to Q11.02 on the definitions of the levels of severity of the risky involved. The likely and/or risky ranking module used in Q11.02 applies to the risky questions as well. The way to ask these questions is generally the same. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5145 39 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Risk assessment/Invest 1 month income in new farming technol Risk assessment/Invest 1 month income in new farming technol Risk assessment/Invest 1 month income in new farming technol Risk assessment/Invest 1 month income in new farming technol Risk assessment/Invest 1 month income in new farming technol How risky do you think it is that somebody invests 1 month's income in a new farming technology? Find out whether it is dangerous/hazardous to invest a 1 month's earning into a new farming technology e.g. machinery. If it is dangerous/hazardous, find out the severity of danger/hazard. To invest is to put money into a business, in this case farming technology. Refer to Q11.02 on the definitions of the answer categories. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5144 40 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Risk assessment/Invest 1 month income in new business ventur Risk assessment/Invest 1 month income in new business ventur Risk assessment/Invest 1 month income in new business ventur Risk assessment/Invest 1 month income in new business ventur Risk assessment/Invest 1 month income in new business ventur How risky do you think it is that somebody invests 1 month's income in a new business venture? Find out the extent or severity of the danger/hazard that is in investing a 1 month earning into a new business. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5144 40 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Risk assessment/Drink untreated water Risk assessment/Drink untreated water Risk assessment/Drink untreated water Risk assessment/Drink untreated water Risk assessment/Drink untreated water How risky do you think it is that somebody drinks untreated water? Find out the extent or severity of the danger/hazard that is in drinking untreated water. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5141 43 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Risk assessment/Heaviliy drink on a social occasion Risk assessment/Heaviliy drink on a social occasion Risk assessment/Heaviliy drink on a social occasion Risk assessment/Heaviliy drink on a social occasion Risk assessment/Heaviliy drink on a social occasion How risky do you think it is that somebody drinks alcohol heavily on a social occasion? Find out the extent or severity of the danger/hazard in drinking beer on a social occasion such as wedding, kitchen party or initiation ceremony. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5141 43 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Risk assessment/Sleep under untreated net Risk assessment/Sleep under untreated net Risk assessment/Sleep under untreated net Risk assessment/Sleep under untreated net Risk assessment/Sleep under untreated net How risky do you think it is that somebody sleeps without an insecticide-treate net to protect you from hazardous insects? Find out the extent or severity of the danger/hazard in sleeping outside a treated mosquito net to protect the household from harmful insects e.g. mosquitoes. Household HH Members > =18 Years Old. The same people as in Section 11 (Mental Health). 5140 44 1 Extremely Risky 2 Very Risky 3 A Little Risky 4 Not Very Risky 5 Not at all Risky Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 5184 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 5184 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 5184 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 5184 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 5184 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 5184 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 5183 1 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 5181 3 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 5182 2 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 5179 5 15 5.235 2.351 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 5106 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 5106 Person ID Person ID Person ID Person ID Person ID ID CODE Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 5095 11 Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 3262 1844 1 30 5.279 2.518 Chosen Payment Option (Scenario 1) Chosen Payment Option (Scenario 1) Chosen Payment Option (Scenario 1) Chosen Payment Option (Scenario 1) Chosen Payment Option (Scenario 1) You have won the lottery. You can choose between being paid Kwacha 400,000 today or Kwacha 400,000 in 1 year. Which will you choose? If answer is 2 > Go to 11.18 (b7_18 - variable name in dataset). This question is trying to determine whether the respondent would choose to be paid 400,000 Kwacha today or in 1 year if he/she won a lottery of 400,000 Kwacha. Lottery is a draw or gamble or raffle or a game of chance. The winner is given a chance to decide when the money should be paid, and two options are given, to be paid a lamp sum today or in instalments to be completed in 1 year Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 5099 7 1 Kwacha 400k Today 2 Kwacha 400k in 1 Year Sysmiss Chosen Payment Option (Scenario 2) Chosen Payment Option (Scenario 2) Chosen Payment Option (Scenario 2) Chosen Payment Option (Scenario 2) Chosen Payment Option (Scenario 2) Now you can choose between Kwacha 400,000 today and Kwacha 1.2 million in 1 year. Which will you choose? If answer is 2 > Go to 11.17 (b7_17 - variable name in dataset). Refer to Q11.14. The amount for the second option has increased to 1.2 million Kwacha. The respondent has won the same raffle of 400,000 Kwacha and needs to choose between being paid the same amount today or be paid 1.2 million Kwacha in instalments for 1 year. Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 4844 262 1 Kwacha 400k Today 2 Kwacha 1.2 Million in 1 Year Sysmiss Chosen Payment Option (Scenario 3) Chosen Payment Option (Scenario 3) Chosen Payment Option (Scenario 3) Chosen Payment Option (Scenario 3) Chosen Payment Option (Scenario 3) Now you can choose between Kwacha 400,000 today and Kwacha 2.4 million in 1 year. Which will you choose? End. This question is a check to find out if the responded would maintain the response for Q11.15 if the second option is increased to 2.4 million Kwacha. Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 3749 1357 1 Kwacha 400k Today 2 Kwacha 2.4 Million in 1 Year Sysmiss Chosen Payment Option (Scenario 4) Chosen Payment Option (Scenario 4) Chosen Payment Option (Scenario 4) Chosen Payment Option (Scenario 4) Chosen Payment Option (Scenario 4) Now you can choose between Kwacha 400,000 today and Kwacha 800,000 in 1 year. Which will you choose? End. Ask only if Q11.15 is 2 “400,000 Kwacha in 1 year”. This question is a check to find out if the responded would maintain the response for Q11.15 if the second option is reduced to 800,000 Kwacha. It is basically the same concept. Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 1112 3994 1 Kwacha 400k Today 2 Kwacha 800k in 1 Year Sysmiss Chosen Payment Option (Same amount in the future 1 Year) Chosen Payment Option (Same amount in the future 1 Year) Chosen Payment Option (Same amount in the future 1 Year) Chosen Payment Option (Same amount in the future 1 Year) Chosen Payment Option (Same amount in the future 1 Year) Are you sure you prefer the same amount in the future although you get the same amount if you do not wait? If answer is 2 > Go to 11.15 (b7_15 - variable name in dataset). Ask only if Q11.14 is 2 “400,000 Kwacha in 1 year”. This question is trying to establish whether the respondent is very certain with the answer given in Q11.14, to get the money won in a lottery in one year when the same amount can be collected on the actual day of the draw. If he/she changes his/her mind, prefers getting the money on the same day, go back and administer Q11.15. Household Members > = 18 Years Old. The same people as in Section 11 (Mental Health) and Risk Preference Section. 365 4741 1 Yes 2 No, I prefer get the money today Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 5106 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 5106 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 5106 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 5106 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 5106 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 5106 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 4498 608 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 4560 546 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 5099 7 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2975 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 2975 Person ID Person ID Person ID Person ID Person ID RECORD PID OF RESPONDENT (RANDOMLY SELECTED ADULT) READ THE FOLLOWING TO THE RESPONDENT: The remaining questions relate to Rapid Diagnostic Tests (RDTs). RDTs are devices which can be used to test whether or not a person has malaria. It is very important to know this as a sick person can only be treated effectively if we know the true cause of his / her illness. Improper treatment can prolong the period of illness and may have serious long-term consequences for a person's health. RDTs are completely safe to use and cause virtually no pain or discomfort, as they require only a drop of blood obtained through a finger prick. Results are ready in about 15 minutes and can be used to ensure that the sick person gets the most appropriate treatment for his / her illness and therefore has an increased chance of recovering quickly and is less likely to suffer negative long-term consequences. RDTs are completely safe to use for children and adults of all ages, including children under five years old and recently born infants. The new clinical guidelines, endorsed by the Ministry of health (MOH) and the National Malaria Control Center (NMCC), encourage the use of RDTs. Testing for malaria is important not only so that those people that have malaria may be treated in the best way possible, but also so that further examinations may be carried out when a person does not test positive for malaria. In this way, RDTs can help to ensure appropriate treatment no matter what a sick person is suffering from. RDTs play an important role in diagnosing illness and can therefore be an important step in saving a person's life. The Bid Game is trying to establish how much the respondent would be willing to pay in order for the sick to be treated with Coartem/ACT if diagnosed with malaria. Tell the respondent that you are going to put him/her in a scenario where 1 of the household members is sick with fever, which is suspected could be malaria. Whatever the cause of the illness, the household would want the person to be treated quickly, preferably within 24 hours. There are no government health facilities in the area but only a private clinic or a drug shop nearby. He/she will have no choice but to take the sick household member to the nearest private health facility or drug shop so that the sick person could be treated. When you arrive at the private clinic or drug store with the sick person you are told to pay for an RDT test (e.g. K5,000) and that you pay the full price (e.g. K50,000) for ACT if he/she (sick person) does not take the test. However, if the test is undertaken and the results are positive, he/she will be treated with Coartem at a reduced price. The government through the Ministry of Health (MOH) as mentioned earlier is willing to provide life saving drugs (Coartem) at a reduced price but only when you pay a price for the RDT. The bidding game is therefore trying to establish the price people would be willing to pay for Coartem as well as for RDT test. This question requires the interviewer to record the Identity (ID)/CODE of the randomly selected respondent in the box provided. Copy the code of the respondent from the flap, by now it is assumed everyone knows what a flap is. If selected respondent is not on the flap, then he/she is not a household member, therefore not eligible, hence the need to revisit the work 2949 26 Understanding what an RDT is Understanding what an RDT is Understanding what an RDT is Understanding what an RDT is Understanding what an RDT is Do you understand what an RDT is? Before the questions on RDTs are administered ensure that the respondent understands what RDTs are, explain to the respondent as stated above. Then find out whether he/she understands. Record answer in the box provided. 2975 1 Yes 2 No RDT can be used as malaria test (T/F) RDT can be used as malaria test (T/F) RDT can be used as malaria test (T/F) RDT can be used as malaria test (T/F) RDT can be used as malaria test (T/F) True or false: RDTs are devices which can be used to test if a person has malaria? Based on the respondent's knowledge on RDTs after that explanation, this question is trying to find out whether it is true or not that RDTs are devices which can be used to test if a person has malaria. The true or false questions are trying to test the respondent's understanding of RDTs, if he/she understands the remaining questions will be easy to administer because both the interviewer and the respondent would know what they are talking about. 2975 1 True 2 False RDT takes too long (T/F) RDT takes too long (T/F) RDT takes too long (T/F) RDT takes too long (T/F) RDT takes too long (T/F) True or false: RDTs are not useful because it takes too long to get the result? Based on the respondent's knowledge on RDTs from the interviewer's explanation, this question is trying to find out whether it is true that RDTs are not useful because it takes long to get the results. 2975 1 True 2 False RDT may harm the tested person RDT may harm the tested person RDT may harm the tested person RDT may harm the tested person RDT may harm the tested person True or false: RDTs may cause harm to the person being tested? Based on the respondent's knowledge on RDTs from the interviewer's explanation, find out whether it is true or false that RDTs may cause harm/injury to the person being tested. 2975 1 True 2 False RDT should be used only on persons with malaria RDT should be used only on persons with malaria RDT should be used only on persons with malaria RDT should be used only on persons with malaria RDT should be used only on persons with malaria True or false: RDTs should be used only on persons with malaria? Based on the respondent's knowledge, this question is trying to find out whether it is true or false that RDTs should be used only on persons with malaria. 2975 1 True 2 False 6 Best treatment for malaria Best treatment for malaria Best treatment for malaria Best treatment for malaria Best treatment for malaria What is the best treatment for malaria? Do not read out the answer categories to the respondent. Let him/her say what he/she knows is the best treatment for malaria, based on the experience and information from various sources. If the best cure given is not among the possible answer categories, record 96 and specify the name of the preferred treatment. 2975 1 SP/Fansidar 2 Chloroquine 3 Amodiaquine 4 Quinine 5 Artemeter 6 Coartem (ACT) 7 Traditional Medicine 96 Other 99 DK Best treatment for malaria/Reason Best treatment for malaria/Reason Best treatment for malaria/Reason Best treatment for malaria/Reason Best treatment for malaria/Reason Why do you think this is the best medicine for treating malaria? This question is trying to establish the reason for the answer category given in Q11.36. Why is it the best treatment for malaria. Possible answers have been provided. 2950 25 1 Used it Before 2 Heard from friend 3 Heard in community 4 Heard about it on TV/Radio 5 Read about in newspaper/magazine 6 Affordable 7 Accessible 96 Other 99 Sysmiss Used it before: Meaning the person has tried the medicine before and it was very effective. Heard from friend: The medicine was recommended by a friend who might have heard that it is the best treatment for malaria or have used it before. Heard in the community: The person heard from within the neighbourhood that the medicine (e.g. that Fansidar) is the best treatment for malaria, hence considers it so. Read about it in the news paper/magazine: If respondent read in the news paper or magazine that the said medicine was the best treatment for malaria Affordable: It is recommended as the best medicine for the treatment of malaria because he/she can afford to purchase it. It is not expensive at the private facility and/or drug store etc. Accessible: It is easy to get, hence recommended by respondent Other, specify: If answer is not among the possible categories record 96 and the name in the space provided. Heard of Coartem Heard of Coartem Heard of Coartem Heard of Coartem Heard of Coartem Have you heard of Coartem? If answer is 2 > Go to next section. Find out if/whether the respondent has ever heard of Coartem, the recommended medicine for the treatment of malaria, also referred to as ACT. If NO go to next section. 2975 1 Yes 2 No Coartem Source of Knowledge Coartem Source of Knowledge Coartem Source of Knowledge Coartem Source of Knowledge Coartem Source of Knowledge Where did you first hear of Coartem? READ THE FOLLOWING TO THE RESPONDENT As you may know, RDT testing is currently carried out for free at public health facilities for patients with fever. Those patients that test positive for malaria are given Coartem, the recommended medicine for the treatment of malaria, for free. Patients testing negative for malaria are further examined to determine the true cause of their illness so that they can receive appropriate treatment and or medicine. In the next part of this interview, I would like to play a type of game with you, where you respond to my questions as if you were currently in the situation I am about to describe. Please imagine that a member of your household has fallen ill with a fever, which you suspect could be malaria. Whatever the cause of his/her illness, you want to ensure that this person is treated quickly and effectively, preferable in the next 24 hours, so that he/she can go back to living his/her normal life as soon as possible. You know effective medicines (ACTs, such as Coartem) are available for free at government health facilities. Unfortunately, however, in this case, there are no government health facilities within reach. You therefore decide to take your sick household member to the nearest private health clinic or drug shop so that he / she can be treated for malaria. When you arrive at the private health clinic or drug shop, you are told that you will have to pay a price for an RDT test and that you will have to pay full price for the treatment (ACT) if the sick person does not take the test. If the test is positive, however, you will receive the treatment (ACTs) at a reduced price. You must pay a price for the RDT so that the Government and Ministry of Health (MOH) can continue to provide life-saving drugs to those that need them most at a reduced price. Find out where the respondent could have possibly heard of Coartem. Several answer categories have been provided. Record the primary/main source of information only. 2112 863 1 Public Health Facility 2 Private Health Facility 3 Community Health Worker 4 Neighborhood Health Committee 5 Radio/TV program 6 Magazine 96 Other Sysmiss A Public health facility: Hospital or clinic or health post managed by Government (Ministry of Health). A Private health facility: Hospital or clinic or health centre owned and run by individuals or private companies. Community Health Worker: A local person trained and empowered with basic health skills by Ministry of Health to work within the community, in most cases it is on voluntary basis. Neighborhood Health Committee: A committee formed by community health workers and other prominent persons to coordinate the health affairs of the community. Magazine: Read about Coartem in a books such as magazine or journal. ACT start price ACT start price ACT start price ACT start price ACT start price THE STICKER ON THE RIGHT TELLS YOU THE PRICE THAT YOU WILL BEGIN WITH. THIS PRICE WILL BE REFERRED TO AS [ACT START PRICE] IN THE FOLLOWING QUESTIONS. This is the price you are required to begin the bidding game for ACT with. There are 4 randomly selected [ACT START PRICES] such as 3,000, 5,000, 7,000 and 9,000 Kwacha which are going to be used. Only one is applicable in each game. 2964 11 300 9000 5982.996 2281.273 Willing to pay (start price) Willing to pay (start price) Willing to pay (start price) Willing to pay (start price) Willing to pay (start price) Imagine that one of your adult household members has fallen ill with fever. Would you be willing to pay [ACT START PRICE] so that this person could be treated with Coartem? Remember, Coartem is the most effective medicine for treating malaria and is recommended by the National Malaria Control Center (NMCC). If answer is 2 > Go to 11.48 (e2_48 - variable name in dataset). Find out if the respondent would be willing to pay the [ACT START PRICE] on the sticker in order to have the sick person treated with Coartem. For example, if the [ACT START PRICE] is 7,000 Kwacha, find out whether the respondent would be willing to pay that 7,000 Kwacha. If the respondent doesn't seem to understand the importance of using Coartem to treating malaria, remind him/her that Coartem is the most effective medicine for the treatment of malaria and is recommended by the National Malaria Control Centre in Lusaka. If answer is NO skip to Q11.48. 2974 1 1 Yes 2 No 5 Sysmiss Certain to pay (start price) Certain to pay (start price) Certain to pay (start price) Certain to pay (start price) Certain to pay (start price) How sure are you to pay [ACT START PRICE] so that the sick person could receive Coartem? INTERVIEWER: SHOW THE SCALE TO THE RESPONDENT. If answer is 5 > Go to 11.48 (e2_48 - variable name in dataset). Find out how sure the respondent is to pay K7,000 for ACT. Possible answer Categories have been provided. Like in Q11.41 K7,000 is referred to as the [ACT START PRICE]. Answer categories include; There is a scale to help out in differentiating between these answer categories. Each interviewer will be provided with a copy. Show the scale to the respondent and ask him/her to show you the one which corresponds to the size of his/her certainty. The scale has got steps which correspond to the percentages (100%, 75%, 50%, 25% and 0%). For example, if the respondent shows you step 2 (Highly likely) then you must proceed with the positive bidding for Coartem. If its step 4 (Would be very difficult), you are still required to continue with the bidding, 25% is equally a yes. Only step 5 (Certain Rejection) tells you to skip to Q11.48 if picked by respondent. 2166 809 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Without any doubt (100%): If the respondent can pay K7,000 for ACT straight away without any problems or complaints. Highly likely (75%): would certainly pay but with a bit of difficult. Would cause some problem (50%): if respondent is half way certain, would pay but with some problem like going into debt. Would be very difficult (25%): would pay but with so much difficulties e.g. going into debt, that it would even be a problem to pay back. Certain Rejection (0%): Cannot pay regardless of the circumstance. BID ACT start price BID ACT start price BID ACT start price BID ACT start price BID ACT start price COPY THE [ACT START PRICE] FROM THE STICKER IN (11.40) (e2_40 - variable name in dataset). If the respondent said yes, is willing to pay K7,000 for Coartem, you bid up in order to find out the highest price he/she would pay for the drug. For positive bidding you add 1000 Kwacha to each bid. For example, if the [ACT START PRICE] is 7,000 Kwacha, Bid 01 would be [ACT START PRICE (7000)] plus 1000; bid 02 would be Bid 01 plus 1000 and Bid 03 would be Bid 02 plus 1000. To start the bidding, copy the [ACT START PRICE] from the sticker in Q11.40 and record in the box provided. Also record the amount under bid in the “copy the actual amounts column” so that you don't mix up the amounts. 2079 896 1 9000 5790.38 2257.022 Willing to Pay/Bid 1 Willing to Pay/Bid 1 Willing to Pay/Bid 1 Willing to Pay/Bid 1 Willing to Pay/Bid 1 Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 01 = [ACT START PRICE] + 1,000. If answer is 2 > Go to 11.45 (e2_45 - variable name in dataset). BID XX is either BID 01 or BID 02 or BID 03. For instance, in the example given below. BID 01 is (K7,000 + K1,000) which is equal to K8,000 and is recorded in the “copy the actual amounts column”. Therefore, the interviewer is trying to find out if the respondent would be willing to pay that K8,000 for Coartem. If “YES” he/she is willing to pay 8,000 Kwacha record “1” and continue bidding up until you get a maximum price the person could pay for ACT. If answer is “NO” skip to Q11.45. 2080 895 1 Yes 2 No Sysmiss Willing to Pay/Bid 2 Willing to Pay/Bid 2 Willing to Pay/Bid 2 Willing to Pay/Bid 2 Willing to Pay/Bid 2 Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 02 = (BID 01 + 1,000). If answer is 2 > Go to 11.45 (e2_45 - variable name in dataset). BID XX is either BID 01 or BID 02 or BID 03. For instance, in the example given below. BID 01 is (K7,000 + K1,000) which is equal to K8,000 and is recorded in the “copy the actual amounts column”. Therefore, the interviewer is trying to find out if the respondent would be willing to pay that K8,000 for Coartem. If “YES” he/she is willing to pay 8,000 Kwacha record “1” and continue bidding up until you get a maximum price the person could pay for ACT. If answer is “NO” skip to Q11.45. 1819 1156 1 Yes 2 No 5 Sysmiss Willing to Pay/Bid 3 Willing to Pay/Bid 3 Willing to Pay/Bid 3 Willing to Pay/Bid 3 Willing to Pay/Bid 3 Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 03 = (BID 02 + 1,000). If answer is 2 > Go to 11.45 (e2_45 - variable name in dataset). BID XX is either BID 01 or BID 02 or BID 03. For instance, in the example given below. BID 01 is (K7,000 + K1,000) which is equal to K8,000 and is recorded in the “copy the actual amounts column”. Therefore, the interviewer is trying to find out if the respondent would be willing to pay that K8,000 for Coartem. If “YES” he/she is willing to pay 8,000 Kwacha record “1” and continue bidding up until you get a maximum price the person could pay for ACT. If answer is “NO” skip to Q11.45. 1443 1532 1 Yes 2 No Sysmiss Certain to Pay/Bid 1 Certain to Pay/Bid 1 Certain to Pay/Bid 1 Certain to Pay/Bid 1 Certain to Pay/Bid 1 How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01 = [ACT START PRICE] + 1,000. If answer is 1, 2, 3 or 4 > Go to 11.43 (e2_43 - variable name in dataset) next bid. If answer is 5 > Go to 11.45 (e2_45 - variable name in dataset). Use the scale referred to in Q11.42 to get the precise answer category. If options 1, 2, 3 or 4 is picked continue with the bidding but if answer is 5 (certain rejection) go to Q11.45. 1823 1152 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to Pay/Bid 2 Certain to Pay/Bid 2 Certain to Pay/Bid 2 Certain to Pay/Bid 2 Certain to Pay/Bid 2 How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 + 1,000). If answer is 1, 2, 3 or 4 > Go to 11.43 (e2_43 - variable name in dataset) next bid. If answer is 5 > Go to 11.45 (e2_45 - variable name in dataset). Use the scale referred to in Q11.42 to get the precise answer category. If options 1, 2, 3 or 4 is picked continue with the bidding but if answer is 5 (certain rejection) go to Q11.45. 1443 1532 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to Pay/Bid 3 Certain to Pay/Bid 3 Certain to Pay/Bid 3 Certain to Pay/Bid 3 Certain to Pay/Bid 3 How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 + 1,000). If answer is 1, 2, 3 or 4 > Go to 11.43 (e2_43 - variable name in dataset) next bid. If answer is 5 > Go to 11.45 (e2_45 - variable name in dataset). Use the scale referred to in Q11.42 to get the precise answer category. If options 1, 2, 3 or 4 is picked continue with the bidding but if answer is 5 (certain rejection) go to Q11.45. 1238 1737 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Maximum ACT Price Maximum ACT Price Maximum ACT Price Maximum ACT Price Maximum ACT Price ONCE YOU FINISH THE POSITIVE BIDDING, COPY THE HIGHEST PRICE THAT THE PERSON IS WILLING TO PAY SO THAT THE SICK PERSON COULD BE TREATED WITH COARTEM. THIS HIGHEST PRICE IS REFERRED AS TO [MAXIMUM ACT PRICE]. RECORD AMOUNT IN KWACHA. This highest price becomes the [MAXIMUM ACT PRICE], for instance K9,000 in example 1. Upon finishing the positive bidding, record the [MAXIMUM ACT PRICE] in BOX # 1. If it so happens that the [MAXIMUM ACT PRICE] is larger than 3,000 Kwacha, Mark "X" in the second box (the control box). 2081 894 1000 13000 7940.894 2469.597 Maximum ACT Price > 3000Kwacha Maximum ACT Price > 3000Kwacha Maximum ACT Price > 3000Kwacha Maximum ACT Price > 3000Kwacha Maximum ACT Price > 3000Kwacha CONTROL BOX: MARK "X" IN THE 2ND BOX IF THIS [MAXIMUM ACT PRICE] IS MORE THAN 3,000 KWACHA. This highest price becomes the [MAXIMUM ACT PRICE], for instance K9,000 in example 1. Upon finishing the positive bidding, record the [MAXIMUM ACT PRICE] in BOX # 1. If it so happens that the [MAXIMUM ACT PRICE] is larger than 3,000 Kwacha, Mark "X" in the second box (the control box). 2030 945 6000 6.416 173.274 Not Certain to pay BID XX/Reason Not Certain to pay BID XX/Reason Not Certain to pay BID XX/Reason Not Certain to pay BID XX/Reason Not Certain to pay BID XX/Reason PROBE FOR CAUSE IF ANSWER IN THE BID GAME TO (11.44) (e2_44 - variable name in dataset) IS (03) "WOULD CAUSE SOME PROBLEM" or (04) "WOULD BE VERY DIFFICULT". OTHERWISE, GO TO 11.56 (e4_56 - variable name in dataset). Why are you not sure to pay [MAX ACT PRICE] so that the sick person could receive Coartem? If answer is 2, 3 or 4 > Go to 11.50 (e3_50 - variable name in dataset). Ask this question only if Q11.44 is (3) “would cause some problem” or (4) “would be very difficult”. If the answer is (2) “Coartem does not work” or (3) “prefer other means of treatment” or (4) “fever will go away on its own”, skip the next questions and go to Q11.50. 162 2813 1 Unable to Pay 2 Coartem does not work 3 Prefer other means of treatment 4 Fever will go away on its own Sysmiss Unable to pay: Household does not have any means of obtaining this money to pay for [MAXIMUM ACT PRICE] e.g. K9,000 in example 1. Coartem does not work: Means the household has used Coartem before and it was not successful. It did not treat the malaria. Prefer other means of treatment: Means household would want to use other medicines rather than Coartem to treat the illness, may be because it did not work to their expectation the last time it was used. Fever will go on its own: Meaning the illness can still clear without taking any medication. Coartem is not relevant to the healing process Means to Rise money for Coartem Means to Rise money for Coartem Means to Rise money for Coartem Means to Rise money for Coartem Means to Rise money for Coartem How could you get enough money to pay [MAXIMUM ACT PRICE] so that the sick person could receive Coartem? END OF ACT (+) BIDDING SECTION. GO TO RDT SECTION: 11.56 (e4_56 - variable name in dataset). Here you are to find out the means by which the household could earn an income in order to pay for [MAXIMUM ACT PRICE]. Several answer categories have been provided, record only the primary/main reason. End Positive Bidding Section for ACT and go to Q11.56. If positive bidding is conducted then the negative bidding should never be conducted, its either the positive or the negative and not both. Follow skip instructions closely. 156 2819 1 Borrow from family 2 Borrow from friends 3 Borrow from money-lender 4 Work extra hours 5 Work extra job/piecework 6 Sell asste(s) 7 Reduce consumption 8 Would try but run into big debt 96 Other Sysmiss Borrow from family: Get money from any relative e.g. brother, sister, uncle or mother-in-law with the intention to pay back at a later stage. Borrow from friends: Get money from a friend with the intention to pay back at a later stage. Borrow from money lender: Get money from an institution/anyone who lends out money. It can be in form of a loan with or without interest. Work extra hours: This is working for more hours than usual for instance, if a person works for 5 hours in a day, he/she decides to work for 2 more hours in order to earn an extra income. Probe to be precise. Work extra job/piecework: If the respondent's usual job/piecework is herding cattle, but because of the pressure to have the sick member treated with Coartem, he/she decides to get an extra piecework e.g. fetching firewood for a neighbor to earn an additional income. Sell asset(s): selling of household goods e.g. TV, Radio, Ox drawn plough, etc. Reduce consumption: If all along the household has been having 2 meals in a day, and because of the need to have the sick person treated of malaria, they decide to reduce the number of meals to 1, to be taken around 16:00 hours. Would try but run into big debt: meaning the household would do anything possible to find the money, which would run him/her into a big debt that it would even be very difficult to pay back. Other, specify: Any other thing that the household may decide to do to help earn some income. Unwilling to pay (start price)/Reason Unwilling to pay (start price)/Reason Unwilling to pay (start price)/Reason Unwilling to pay (start price)/Reason Unwilling to pay (start price)/Reason Why would you be unwilling to pay [ACT START PRICE] so that the sick person could receive Coartem? If answer is 2, 3 or 4 > Go to 11.50 (e3_50 - variable name in dataset). Note: ask negative bidding section for Coartem only if Q11.41 is NO or Q11.42 is Certain Rejection. Find out the reasons for not wanting to pay the [ACT START PRICE] so that the person could be treated with Coartem. There could be many reasons for not wanting to pay but record only the one the household considers to be the main cause. If the answer is (02) “Coartem does not work” or (03) “prefer other means of treatment” or (04) “fever will go away on its own”, skip to Q11.50. 888 2087 1 Unable to Pay 2 Coartem does not work 3 Prefer other means of treatment 4 Fever will go away on its own Sysmiss Rise money for coartem/Means Rise money for coartem/Means Rise money for coartem/Means Rise money for coartem/Means Rise money for coartem/Means How could you get enough money to pay [ACT START PRICE] so that the sick person could receive Coartem? Find out the means by which the household could earn enough money to pay for [ACT START PRICE]. Several options have been provided. Record only the most preferred way of earning an income. Refer to Q11.47. 783 2192 1 Borrow from family 2 Borrow from friends 3 Borrow from money-lender 4 Work extra hours 5 Work extra job/piecework 6 Sell asste(s) 7 Reduce consumption 8 Would try but run into big debt 96 Other Sysmiss Remains uninterested in ACT Remains uninterested in ACT Remains uninterested in ACT Remains uninterested in ACT Remains uninterested in ACT PROBE WHETHER THE RESPONDENT UNDERSTOOD WHAT ACT IS, ITS EFFECTIVENESS AND SAFETY (11.36 and 11.37) (e1_36 and e1_37 - variable names in dataset). DOES THE RESPONDENT STILL MAINTAIN HIS/HER ANSWER OF "LACK OF TRUST / INTEREST" IN ACT? If answer is 1 > End of game, go to next section 11.6. If answer is 2 > Continue with Act Negative (-) Bidding. IF ANSWER IS 2, RESPONDENT CONSIDERS TRYING COARTEM, THUS ELIGIBLE FOR BIDDING. Probe if the respondent still maintains the answer of “lack of interest” in ACT in Q11.48. Find out if he/she understands what Coartem/ACT is, its effectiveness and safety in Q11.36 and Q11.37. Basically re-explain the ACT to the respondent. If the respondent is still uninterested, End the BIDDING GAME and go to section 11.7. If he/she changed his/her mind or is now interested in paying the ACT START PRICE, then continue with the ACT negative bidding. 892 2083 1 Yes, remains uninterested 2 No, changed his/her mind (interested) Sysmiss ACT start price ACT start price ACT start price ACT start price ACT start price USE ONLY ONE OF THE BID BOXES BELOW (A or B) TO DETERMINE THE PRICE THE RESPONDENT IS WILLING TO PAY FOR COARTEM (ACT). BEGIN BY RECORDING THE [ACT START PRICE] FROM (11.40) (e2_40 - variable name in dataset). COPY THE [ACT START PRICE] FROM THE STICKER IN (11.40) (e2_40 - variable name in dataset). Ask only if the respondent has changed his/her mind, he/she is now willing to pay for ACT, if Q11.50 is NO “respondent considers trying Coartem”. This question requires the interviewer to record the [ACT START PRICE] in the box provided. 363 2612 3000 9000 6630.854 2124.921 ACT start price Range ACT start price Range ACT start price Range ACT start price Range ACT start price Range CHECK [ACT START PRICE]: If answer is 1 > Go to 11.52.A (e3_53a_1 - variable name in dataset). If answer is 2 > Go to 11.52.B (e3_53b_1 - variable name in dataset). This question is divided into two parts (Q11.52A and Q11.52B). These are the two negative bidding boxes (A and B). Use box A or Q11.52A if the [ACT START PRICE] is either 9,000 or 7,000 Kwacha and box B or Q11.52B if the [ACT START PRICE] is either 5,000 or 3,000 Kwacha. Copy [ACT START PRICE] from Q11.40 and record in the appropriate box. 351 2624 1 ACT start price is 9000 or 7000 kwacha 2 ACT start price is 5000 or 3000 kwacha Sysmiss Willing to pay/Bid 1 Pos Willing to pay/Bid 1 Pos Willing to pay/Bid 1 Pos Willing to pay/Bid 1 Pos Willing to pay/Bid 1 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 01= [ACT START PRICE] - 1,000. If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the “copy the actual amount column”. If answer is YES “person can pay 6,000 Kwacha”, enter “1” and ask Q11.54. If answer is “No” go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are “NO” skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 241 2734 1 Yes 2 No Sysmiss Willing to pay/Bid 2 Pos Willing to pay/Bid 2 Pos Willing to pay/Bid 2 Pos Willing to pay/Bid 2 Pos Willing to pay/Bid 2 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 02 = (BID 01 - 1,000). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the “copy the actual amount column”. If answer is YES “person can pay 6,000 Kwacha”, enter “1” and ask Q11.54. If answer is “No” go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are “NO” skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 219 2756 1 Yes 2 No Sysmiss Willing to pay/Bid 3 Pos Willing to pay/Bid 3 Pos Willing to pay/Bid 3 Pos Willing to pay/Bid 3 Pos Willing to pay/Bid 3 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 03 = (BID 02 - 1,000). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the “copy the actual amount column”. If answer is YES “person can pay 6,000 Kwacha”, enter “1” and ask Q11.54. If answer is “No” go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are “NO” skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 201 2774 1 Yes 2 No Sysmiss Certain to pay/Bid 1 Pos Certain to pay/Bid 1 Pos Certain to pay/Bid 1 Pos Certain to pay/Bid 1 Pos Certain to pay/Bid 1 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01= [ACT START PRICE] - 1,000. If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53a - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 33 2942 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay/Bid 2 Pos Certain to pay/Bid 2 Pos Certain to pay/Bid 2 Pos Certain to pay/Bid 2 Pos Certain to pay/Bid 2 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 - 1,000). If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53a - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 27 2948 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay/Bid 3 Pos Certain to pay/Bid 3 Pos Certain to pay/Bid 3 Pos Certain to pay/Bid 3 Pos Certain to pay/Bid 3 Pos IF ACT START PRICE IS 9,000 OR 7,000, SUBTRACT 1,000 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-1,000. BID 02 = [BID 01]-1,000 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 - 1,000). If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53a - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 103 2872 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Willing to pay/Bid 1 Neg Willing to pay/Bid 1 Neg Willing to pay/Bid 1 Neg Willing to pay/Bid 1 Neg Willing to pay/Bid 1 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 01 = [ACT START PRICE] - 500. If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the "copy the actual amount column". If answer is YES "person can pay 6,000 Kwacha", enter "1" and ask Q11.54. If answer is "No" go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are "NO" skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 129 2846 1 Yes 2 No Sysmiss Willing to pay/Bid 2 Neg Willing to pay/Bid 2 Neg Willing to pay/Bid 2 Neg Willing to pay/Bid 2 Neg Willing to pay/Bid 2 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 02 = (BID 01 - 500). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the "copy the actual amount column". If answer is YES "person can pay 6,000 Kwacha", enter "1" and ask Q11.54. If answer is "No" go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are "NO" skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 113 2862 1 Yes 2 No Sysmiss Willing to pay/Bid 3 Neg Willing to pay/Bid 3 Neg Willing to pay/Bid 3 Neg Willing to pay/Bid 3 Neg Willing to pay/Bid 3 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. Would you be willing to pay [BID XX] so that the sick person could be treated with Coartem? BID 03 = (BID 02 - 500). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.53) WERE "NO", THEN SKIP TO SECTION 11.6. If the [ACT START PRICE] is either 9,000 or 7,000 Kwacha, use Negative Bidding Box A (Q11.52A). Subtracting 1000 Kwacha from [ACT START PRICE] to get the first bid (BID 01). For example, (BID 01 = [ACT START PRICE (7,000 Kwacha)]- 1,000 Kwacha). In other words the money to bid for in BID 01 is 6,000 Kwacha and should be recorded in the "copy the actual amount column". If answer is YES "person can pay 6,000 Kwacha", enter "1" and ask Q11.54. If answer is "No" go to next BID-BID 02 (BID 02 = BID 01 which is 6,000 - 1000). Can he/she pay 5,000 Kwacha? Continue like this until you get the Maximum price the person would be willing to pay. If answers to Q11.53 (BID 01, BID 02 and BID03) are "NO" skip to SECTION 11.7. The same applies if the ACT START PRICE was either 5,000 or 3,000 and Bidding Box Q11.52B was used. The difference is that 500 Kwacha and not 1,000 Kwacha is subtracted from each bid. 99 2876 1 Yes 2 No Sysmiss Certain to pay/Bid 1 Neg Certain to pay/Bid 1 Neg Certain to pay/Bid 1 Neg Certain to pay/Bid 1 Neg Certain to pay/Bid 1 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01 = [ACT START PRICE] - 500. If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53b - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 24 2951 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay/Bid 2 Neg Certain to pay/Bid 2 Neg Certain to pay/Bid 2 Neg Certain to pay/Bid 2 Neg Certain to pay/Bid 2 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 - 500). If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53b - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 17 2958 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay/Bid 3 Neg Certain to pay/Bid 3 Neg Certain to pay/Bid 3 Neg Certain to pay/Bid 3 Neg Certain to pay/Bid 3 Neg IF ACT START PRICE IS 5,000 OR 3,000, SUBTRACT 500 KWACHA WITH EACH BID. SO BID 01 = [ACT START PRICE]-500. BID 02 = [BID 01]-500 etc. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 - 500). If answer is 1 > Go to 11.55 (e3_55 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.53 (e3_53b - variable name in dataset) next bid. Refer to Q11.42 for description of possible responses and the scale. If answer is 01 “Without any doubt”, stop the bidding and go to Q11.55 but if answer is 02 “Highly likely”, 03 “Would cause some problem”, 04 “Would be very difficult” or 05 “Certain rejection”, then continue with the bidding by subtracting either 1,000 Kwacha (for bid box A) or 500 Kwacha (for bid box B) from the previous BID. 61 2914 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Maximum ACT price Maximum ACT price Maximum ACT price Maximum ACT price Maximum ACT price ONCE YOU FINISH THE NEGATIVE BIDDING, COPY THE HIGHEST PRICE THAT THE PERSON IS WILLING TO PAY SO THAT THE SICK PERSON COULD BE TREATED WITH COARTEM. THIS HIGHEST PRICE IS REFERRED AS TO [MAXIMUM ACT PRICE]. RECORD AMOUNT IN KWACHA. Record the last price the person agreed to pay in the bidding game. This highest price becomes the [MAXIMUM ACT PRICE] and should be recorded in Box Number 2. If [MAXIMUM ACT PRICE] is larger than 3000 Kwacha, Mark “X” in the second box (the control box). 239 2736 1000 8000 4341.004 1651.913 Maximum ACT price >3000Kwacha Maximum ACT price >3000Kwacha Maximum ACT price >3000Kwacha Maximum ACT price >3000Kwacha Maximum ACT price >3000Kwacha CONTROL BOX: MARK "X" IN THE 2ND BOX IF THIS [MAXIMUM ACT PRICE] IS MORE THAN 3,000 KWACHA. Record the last price the person agreed to pay in the bidding game. This highest price becomes the [MAXIMUM ACT PRICE] and should be recorded in Box Number 2. If [MAXIMUM ACT PRICE] is larger than 3000 Kwacha, Mark “X” in the second box (the control box). 214 2761 1 1 1 Allowance to RDT Allowance to RDT Allowance to RDT Allowance to RDT Allowance to RDT Would you allow a Rapid Diagnostic Test for malaria to be carried out on the sick person so that this person could receive Coartem at a cheaper (subsidized) price if he or she is infected with malaria? If answer is 1 > Go to 11.58 (e4_58 - variable name in dataset). Ensure that the respondent understands what a Rapid Diagnostic Test for malaria is. Refer to the introduction part of this manual and the paragraph on RDT at the beginning of the WTP section, (Refer to Q11.30). Then, find out if the respondent could allow the test to be carried out on a sick person so that he/she is treated with Coartem at a reduced price if found with malaria. If “Yes” the respondent would allow a Rapid Diagnostic Test, skip to Q11.58. 2306 669 1 Yes 2 No Sysmiss RDT Not allowed/Reason RDT Not allowed/Reason RDT Not allowed/Reason RDT Not allowed/Reason RDT Not allowed/Reason Why would you not allow a Rapid Diagnostic Test for malaria to be carried out on the sick person? Here you are trying to find out the reason for not allowing a Rapid Diagnostic Test on a sick person. Possible answer categories have been provided and explained below. If answer is not among the categories record 96 and specify it. Ask this question only if Q11.56 is NO “does not allow an RDT”. 68 2907 1 Not Safe 2 I do not trust result 3 Not necessary 4 Previous negative experience (specify) 96 Other Sysmiss Not safe: the test is dangerous to undertake, cause harm to a sick person. I don't trust results: meaning results are not accurate e.g. can turn out positive when in its supposed to be negative or vice versa. Not necessary: meaning the test is not important, does not contribute to the healing process. Previous negative experience: the last time the test was conducted it did not work as expected or had some negative effects. Maintain NOT ALLOWING RDT Maintain NOT ALLOWING RDT Maintain NOT ALLOWING RDT Maintain NOT ALLOWING RDT Maintain NOT ALLOWING RDT PROBE WHETHER THE RESPONDENT UNDERSTOOD WHAT RDT IS, ITS PURPOSE AND SAFETY (11.31, 11.33, and 11.34) (e1_31, e1_33 and e1_34 - variable names in dataset). DOES THE RESPONDENT STILL MAINTAIN HIS/HER ANSWER OF "NOT ALLOWING" AN RDT TEST TO BE PERFORMED? If answer is 1 > End of game. Go to next section 11.6. May be the respondent did not understand the whole purpose of performing an RDT, ensure that he/she understands it, then find out if he/she still maintains the same answer “Not allowing” an RDT test to be performed on a sick person. If answer is Yes “Still maintains his/her answer of Not Allowing an RDT test to be performed”, End Game and go to Next Section. If person has changed his/her mind would allow an RDT test on the sick person continue with the rest of the questions. Refer to Q11.30, Q11.31, Q11.33 and Q11.34 (the kind of responses given). 67 2908 1 Yes 2 No Sysmiss RDT/willing to pay for RDT/willing to pay for RDT/willing to pay for RDT/willing to pay for RDT/willing to pay for Would you be willing to pay so that the sick person could be tested with a Rapid Diagnostic Test and receive Coartem at the reduced price if sick with fever? If the person would allow a Rapid Diagnostic Test on a sick person in Q11.56 or if the person changed his/her mind to allow an RDT in Q11.57B, you are therefore required to find out if he/she would be willing to pay so that the test is carried out on a sick person. If “Yes, would pay” or “Depends on the price”, skip to Q11.61. 2247 728 1 Yes 2 No 3 Depend on the price(s) Sysmiss RDT/NOT willing to pay for/Reason RDT/NOT willing to pay for/Reason RDT/NOT willing to pay for/Reason RDT/NOT willing to pay for/Reason RDT/NOT willing to pay for/Reason Why would you not be willing to pay so that the sick person could be tested with an Rapid Diagnostic Test? If answer is 1 > Go to 11.60 (e4_60 - variable name in dataset). Ask only if the person would not pay in Q11.58. You are trying to determine the reason for not wanting to pay for the RDT. Answer categories have been provided and explained below, ensure that you understand them well and be able to differentiate between them. 83 2892 1 Unable to pay 2 Not worth it 3 Not reliable 4 Not necessary 5 Other 96 Sysmiss Unable to pay: has limited sources of income or does not have anywhere to get the money to pay for the test. Not worth it: RDT does not work, so undertaking the test is not going to make any difference. Not reliable: not dependable because gives false results. Not necessary: meaning the test is not important, does not contribute to the healing process. Maintain NOT WILLING TO PAY RDT Maintain NOT WILLING TO PAY RDT Maintain NOT WILLING TO PAY RDT Maintain NOT WILLING TO PAY RDT Maintain NOT WILLING TO PAY RDT PROBE WHETHER THE RESPONDENT UNDERSTOOD WHAT RDT IS, ITS PURPOSE AND SAFETY (11.31, 11.33, and 11.34) (e1_31, e1_33 and e1_34 - variable names in dataset). DOES THE RESPONDENT STILL MAINTAIN HIS/HER ANSWER OF "NOT WILLING TO PAY" FOR THE RDT TEST? If answer is 1 > End of game. Go to next section. Once more, find out if the respondent still maintains his/her answer “Not willing to pay” for an RDT test to be performed. Refer to Q11.57B. If answer is Yes “Still maintains his/her answer of Not Willing to pay for an RDT test to be performed”, End Game and go to Next Section. 28 2947 1 Yes 2 No Sysmiss Rise money for RDT/Means Rise money for RDT/Means Rise money for RDT/Means Rise money for RDT/Means Rise money for RDT/Means How could you get enough money to pay for the Rapid Diagnostic Test so that the sick person could receive Coartem at a lower price? Ask only if the person has changed his/her mind, “now willing to pay for an RDT test in Q11.59B. Determine the means by which the household could obtain enough money to pay for a Rapid Diagnostic Test so that the sick person could receive Coartem at a reduced price. Several options have been provided. Record only the most preferred way. Refer to Q11.47. 63 2912 1 Borrow from family 2 Borrow from friends 3 Borrow from money-lender 4 Work extra hours 5 Work extra job/piecework 6 Sell asste(s) 7 Reduce consumption 8 Would try but run into big debt 11 96 Other Sysmiss RDT start price/Pos RDT start price/Pos RDT start price/Pos RDT start price/Pos RDT start price/Pos THE STICKER ON THE RIGHT TELLS YOU THE PRICE THAT YOU WILL BEGIN WITH. THIS PRICE WILL BE REFERRED TO AS [RDT START PRICE] IN THE FOLLOWING QUESTIONS. There is a sticker on the top right corner of this question in the questionnaire; it tells you the price that you will begin with, in the bidding game for Rapid Diagnostic Test in order to find out how much the respondent would be willing to pay for an RDT to be performed on the sick person. This price will be referred to as [RDT START PRICE]. The four randomly selected [RDT START PRICES] are 1,000, 1,500, 2,000 and 2,500 Kwacha. Only one of these prices would be of use per household. 2195 780 200 8000 1748.838 636.738 Maximum ACT price for Coartem (Pos) Maximum ACT price for Coartem (Pos) Maximum ACT price for Coartem (Pos) Maximum ACT price for Coartem (Pos) Maximum ACT price for Coartem (Pos) COPY THE [MAXIMUM ACT PRICE] THAT THE RESPONDENT BID TO PAY FOR COARTEM FROM: (11.45)(e2_45 - variable name in dataset) FOR POSITIVE (+) ARM or (11.55)(e3_55 - variable name in dataset) FOR NEGATIVE (-) ARM. THIS PRICE WILL BE REFERRED TO AS [ACT PRICE] IN THE FOLLOWING QUESTIONS. Copy the [MAXIMUM ACT PRICE] from Q11.45 (Box # 1, a Positive (+) bidding) or from Q11. 55 (Box # 2, Negative (-) bidding) and record it in Box # 3. This [MAXIMUM ACT PRICE] is the highest price the respondent was willing to pay for ACT during either the positive or negative bidding game. 2248 727 1000 25000 7620.996 2646.347 Willing to pay RDT start price Willing to pay RDT start price Willing to pay RDT start price Willing to pay RDT start price Willing to pay RDT start price You can access an adult course (24 pills) of Coartem at the price of [MAX ACT PRICE] if you are willing to pay [RDT START PRICE] for a Rapid Diagnostic Test, and that test shows that the household member is infected with malaria. Would you be willing to pay [RDT START PRICE] for the test? If answer is 2 > Go to 11.73 (e5_73 - variable name in dataset). For example, a situation where [MAXIMUM ACT PRICE] is K9,000 and that the [RDT START PRICE] is K2,000, you are required to find out if the respondent would be willing to pay K2,000 so that the sick person could be tested using an RDT test and if found with malaria can access Coartem at K9,000 only. If NO “ not willing to pay K2,000”, record 2 and go to Q11.73. 2234 741 1 Yes 2 No Sysmiss Certain to pay RDT start price Certain to pay RDT start price Certain to pay RDT start price Certain to pay RDT start price Certain to pay RDT start price How sure are you to pay [RDT START PRICE] so that the sick person could receive Coartem at a price of [MAX ACT PRICE]? INTERVIEWER: SHOW THE SCALE TO THE RESPONDENT. If answer is 3 or 4 > Go to 11.74 (e5_74 - variable name in dataset). If answer is 5 > Go to 11.74 (e5_73 - variable name in dataset). Then find out the level of certainty of the respondent to pay K2,000 for an RDT to be conducted so that the sick person could be treated with Coartem at a price of K9,000 [MAXIMUM ACT PRICE]. Refer to Q11.42 for description of answer categories provided. If answer is 3 or 4 go to Q11.74 and if answer is 5 “certain Rejection go to Q11.73. Pay particular attention to skip instructions and do not forget to show scale to the respondent. 2078 897 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) USE THE BID BOX BELOW TO DETERMINE THE PRICE THE RESPONDENT IS WILLING TO PAY FOR AN RDT. 1st RECORD [RDT START PRICE] GIVEN IN THE STICKER AT 11.61 (e5_61 - variable name in dataset). 2012 963 500 8000 1732.853 586.674 Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) THEN RECORD THE [MAXIMUM ACT PRICE] FROM 11.62 (e5_62 - variable name in dataset). 1985 990 500 25000 7728.262 2639.44 Willing to pay RDT BID 1/Pos Willing to pay RDT BID 1/Pos Willing to pay RDT BID 1/Pos Willing to pay RDT BID 1/Pos Willing to pay RDT BID 1/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 01 = [RDT START PRICE] + 500. If answer is 2 > Go to 11.67 (e5_67 - variable name in dataset). First copy and record the [RDT START PRICE] from Q11.61 and [MAXIMUM ACT PRICE] from Q11.62 (Box # 3) in the respective boxes. Each BID is going to add 500 Kwacha e.g. BID 01 = [RDT START PRICE] + 500; BID 02 = BID 01 + 500 and BID 03 = BID 02 + 500. Now, following an example where the RDT START PRICE is K2,000, you enter K2,500 in the “copy the actual amounts column” in BID 01, and if respondent would be willing to pay this K2,500, the answer to this question would be Yes meaning you record 1 and go to Q11.66. If answer is “No” stop bidding and Skip to Q11.67. 2018 957 1 Yes 2 No Sysmiss Willing to pay RDT BID 2/Pos Willing to pay RDT BID 2/Pos Willing to pay RDT BID 2/Pos Willing to pay RDT BID 2/Pos Willing to pay RDT BID 2/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 02 = (BID 01 + 500). If answer is 2 > Go to 11.67 (e5_67 - variable name in dataset). First copy and record the [RDT START PRICE] from Q11.61 and [MAXIMUM ACT PRICE] from Q11.62 (Box # 3) in the respective boxes. Each BID is going to add 500 Kwacha e.g. BID 01 = [RDT START PRICE] + 500; BID 02 = BID 01 + 500 and BID 03 = BID 02 + 500. Now, following an example where the RDT START PRICE is K2,000, you enter K2,500 in the “copy the actual amounts column” in BID 01, and if respondent would be willing to pay this K2,500, the answer to this question would be Yes meaning you record 1 and go to Q11.66. If answer is “No” stop bidding and Skip to Q11.67. 1752 1223 1 Yes 2 No 3 Sysmiss Willing to pay RDT BID 3/Pos Willing to pay RDT BID 3/Pos Willing to pay RDT BID 3/Pos Willing to pay RDT BID 3/Pos Willing to pay RDT BID 3/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 03 = (BID 02 + 500). If answer is 2 > Go to 11.67 (e5_67 - variable name in dataset). First copy and record the [RDT START PRICE] from Q11.61 and [MAXIMUM ACT PRICE] from Q11.62 (Box # 3) in the respective boxes. Each BID is going to add 500 Kwacha e.g. BID 01 = [RDT START PRICE] + 500; BID 02 = BID 01 + 500 and BID 03 = BID 02 + 500. Now, following an example where the RDT START PRICE is K2,000, you enter K2,500 in the “copy the actual amounts column” in BID 01, and if respondent would be willing to pay this K2,500, the answer to this question would be Yes meaning you record 1 and go to Q11.66. If answer is “No” stop bidding and Skip to Q11.67. 1467 1508 1 Yes 2 No Sysmiss Certain to Pay RDT BID 1/Pos Certain to Pay RDT BID 1/Pos Certain to Pay RDT BID 1/Pos Certain to Pay RDT BID 1/Pos Certain to Pay RDT BID 1/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01 = [RDT START PRICE] + 500. If answer is 1, 2, 3 or 4 > Go to 11.65 (e5_65 - variable name in dataset) next bid. If answer is 5 > Go to 11.67 (e5_67 - variable name in dataset). Ask only if Q11.65 is Yes. Refer to Q11.42 for description of possible answers given. If answer is 05 “certain Rejection”, stop bidding and skip to Q11.67. If answer is either 1 or 2 or 3 or 4 continue with the game by going back to Q11.65. 1735 1240 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to Pay RDT BID 2/Pos Certain to Pay RDT BID 2/Pos Certain to Pay RDT BID 2/Pos Certain to Pay RDT BID 2/Pos Certain to Pay RDT BID 2/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 + 500). If answer is 1, 2, 3 or 4 > Go to 11.65 (e5_65 - variable name in dataset) next bid. If answer is 5 > Go to 11.67 (e5_67 - variable name in dataset). Ask only if Q11.65 is Yes. Refer to Q11.42 for description of possible answers given. If answer is 05 “certain Rejection”, stop bidding and skip to Q11.67. If answer is either 1 or 2 or 3 or 4 continue with the game by going back to Q11.65. 1465 1510 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to Pay RDT BID 3/Pos Certain to Pay RDT BID 3/Pos Certain to Pay RDT BID 3/Pos Certain to Pay RDT BID 3/Pos Certain to Pay RDT BID 3/Pos EACH BID WILL ADD 500 MORE KWACHA. BID 01 = [RDT START PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 01] + 500. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 + 500). If answer is 1, 2, 3 or 4 > Go to 11.65 (e5_65 - variable name in dataset) next bid. If answer is 5 > Go to 11.67 (e5_67 - variable name in dataset). Ask only if Q11.65 is Yes. Refer to Q11.42 for description of possible answers given. If answer is 05 “certain Rejection”, stop bidding and skip to Q11.67. If answer is either 1 or 2 or 3 or 4 continue with the game by going back to Q11.65. 1262 1713 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price RECORD THE HIGHEST PRICE … IS WILLING TO PAY FOR AN RDT SO THAT THE SICK PERSON COULD BE TREATED WITH COARTEM IF INFECTED WITH MALARIA. RECORD AMOUNT IN KWACHA. This is the highest amount the respondent would be willing to pay in Q11.65, it will be referred to as the [MAXIMUM RDT PRICE] for RDT Positive Bidding. Record this amount in Box # 4. In the example the highest is K2,500. 2019 956 2 41000 2913.473 1643.72 Maximum RDT price (from 67) Maximum RDT price (from 67) Maximum RDT price (from 67) Maximum RDT price (from 67) Maximum RDT price (from 67) 1st RECORD [MAXIMUM RDT PRICE] FROM (11.67) (e5_67 - variable name in dataset). THESE PRICES WILL BE REFERRED TO AS [RDT PRICE] AND [ACT PRICE] IN THE FOLLOWING QUESTIONS. Record the [MAXIMUM RDT PRICE] from Q11.67 (Box # 4) and the [MAXIMUM ACT PRICE] from Q11.62 (Box # 3) in the appropriate boxes. You are now going to refer to the combined highest prices for ACT and RDT. 2003 972 1000 35000 2912.631 1358.679 Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) THEN RECORD THE [MAXIMUM ACT PRICE] USED IN THE BIDDING, FROM (11.62) (e5_62 - variable name in dataset). THESE PRICES WILL BE REFERRED TO AS [RDT PRICE] AND [ACT PRICE] IN THE FOLLOWING QUESTIONS. Record the [MAXIMUM RDT PRICE] from Q11.67 (Box # 4) and the [MAXIMUM ACT PRICE] from Q11.62 (Box # 3) in the appropriate boxes. You are now going to refer to the combined highest prices for ACT and RDT. 2003 972 2 70000 7712.732 2980.278 Probe for ACT+RDT bundle Probe for ACT+RDT bundle Probe for ACT+RDT bundle Probe for ACT+RDT bundle Probe for ACT+RDT bundle So you would be willing to pay [MAX ACT PRICE] Kwacha for Coartem and [RDT PRICE] Kwacha for RDT, a total of [MAX ACT PRICE + RDT PRICE] for diagnosis and treatment with Coartem? If answer is 1 > Go to 11.85 (e8_85 - variable name in dataset). Probe and confirm with the respondent if he/she would be willing to pay both the [MAX ACT PRICE] and the [MAX RDT PRICE] for diagnosis and treatment of malaria with Coartem. For example, [MAXIMUM ACT PRICE (K9,000)] + K2,500 for RDT, a total of K11,500. If answer is Yes “ would be willing to pay K11,500”, record “1” and skip to Q11.85. 2003 972 1 Yes 2 No Sysmiss Not willing to pay ACT+RDT bundle/Reason Not willing to pay ACT+RDT bundle/Reason Not willing to pay ACT+RDT bundle/Reason Not willing to pay ACT+RDT bundle/Reason Not willing to pay ACT+RDT bundle/Reason Why would you not be willing to pay the bundled [MAX ACT PRICE + RDT PRICE]? If answer is 2 > Go to 11.71 (e5_71 - variable name in dataset). Ask only if Q11.68 is NO “not willing to pay”. Find out the reason for not wanting to pay a combined price. Options of possible responses have been provided; if answer is 02 “he/she thought you only need to pay for treatment”, skip to Q11.71. If the reason is not among the answer categories, record 96 and specify the reason. 167 2808 1 Joint amount is too high 2 Thought only need to pay for treatment 96 Other Sysmiss Mean to get most effective treatment Mean to get most effective treatment Mean to get most effective treatment Mean to get most effective treatment Mean to get most effective treatment What would you do to get the most effective treatment as fast as possible? If answer is not among the options, enter 96 and specify it in the space provided. Answer categories have been described below. 146 2829 1 Try to get coartem at lower price/same facility 2 Try to get coartem at lower price/other private facility 3 Try to get coartem at public facility 4 Try to get coartem without RDT 5 Try to get other antimalarial 6 Other 96 Sysmiss Try to get Coartem at lower price at the same facility: Buy Coartem at a much cheaper price at the same health facility Try to get Coartem at lower price at the another private facility: Buy Coartem at a much cheaper price at another private health facility Try to get Coartem at public facility: Buy Coartem at a public health hospital/clinic Try to get Coartem without RDT test: Buy Coartem only without conducting any RDT tests. Try to get other antimalarial: Instead of buying Coartem at the same facility he/she chooses to buy another type of drug for the treatment of malaria. Willing to pay ACT price for bundle Willing to pay ACT price for bundle Willing to pay ACT price for bundle Willing to pay ACT price for bundle Willing to pay ACT price for bundle Would you consider paying [MAX ACT PRICE] for the whole package, which includes testing and treatment with Coartem, the price you offered to pay for Coartem alone? If answer is 1 > Go to 11.85 (e8_85 - variable name in dataset). In the case where the respondent would not pay for both ACT and RDT, find out if he/she would be willing to pay [MAX ACT PRICE e.g. K9,000] alone but still have the sick person tested with RDT test and be treated with Coartem. If respondent would consider paying go to Q11.85. 160 2815 1 Yes 2 No Sysmiss Not willing to pay ACT price for bundle/Reason Not willing to pay ACT price for bundle/Reason Not willing to pay ACT price for bundle/Reason Not willing to pay ACT price for bundle/Reason Not willing to pay ACT price for bundle/Reason Why would you not consider paying [MAX ACT PRICE], the price you offered to pay for Coartem alone, for the bundled package? END OF (+) BIDDING SECTION. GO TO QUESTION: (11.85) (e8_85 - variable name in dataset). Ask only if Q11.71 is NO “would not consider paying”. Then you are required to find out the reason for not considering to pay K9,000 in order to be testing and treated with the most effective and recommended medicine for malaria. Several answer categories have been provided. Record only the most effective reason. Immediately End Positive bidding for a Bundled Package and go to Q11.85 Administer a negative bidding for a bundled package only if the positive bidding was not administered. 19 2956 1 Do not want to do RDT 2 Can get coartem without test 3 Could get coartem from public facility 4 Other antimalarial is good enough 96 Other Sysmiss Unwilling to pay RDT start price at ACT price/Reason Unwilling to pay RDT start price at ACT price/Reason Unwilling to pay RDT start price at ACT price/Reason Unwilling to pay RDT start price at ACT price/Reason Unwilling to pay RDT start price at ACT price/Reason Why would you be unwilling to pay [RDT START PRICE] so that the sick person could receive Coartem at a price of [MAX ACT PRICE]? If answer is 1 > Go to 11.75 (e6_75 - variable name in dataset). Ask only if Q11.63 is NO, the respondent would not be willing to pay [RDT START PRICE] or if Q11.64 is 5 “certain rejection”. You are required to determine the reason for not wanting to pay [RDT SATRT PRICE (2,000)] so that the sick person could receive at 9,000 [MAX ACT PRICE] which he/she already agreed to pay. Refer to Q11.59 for the description of possible answer categories. If answer is 1 “unable to pay” skip to Q11.75. 146 2829 1 Unable to pay 2 Not worth it 3 Not reliable 4 Not necessary 96 Other Sysmiss Probe RDT understanding Probe RDT understanding Probe RDT understanding Probe RDT understanding Probe RDT understanding PROBE WHETHER THE RESPONDENT UNDERSTOOD WHAT RDT IS, ITS PURPOSE AND SAFETY (11.31, 11.33, and 11.34) (e1_31, e1_33 and e1_34 - variable names in dataset). DOES THE RESPONDENT STILL MAINTAIN HIS/HER ANSWER OF "NOT WILLING TO PAY" FOR AN RDT TEST TO BE PERFORMED? If answer is 1 > End of game. Go to next section 11.6. Refer to Q11.57B. 19 2956 1 Yes 2 No, changed his/her mind/Allows RDT 4 Sysmiss Not certain to pay RDT start price at ACT price Not certain to pay RDT start price at ACT price Not certain to pay RDT start price at ACT price Not certain to pay RDT start price at ACT price Not certain to pay RDT start price at ACT price Why are you not sure to pay [RDT START PRICE] so that the sick person could receive Coartem at a price of [MAX ACT PRICE]? If answer is 1 > Go to 11.75 (e6_75 - variable name in dataset). If answer is 96 > Go to 11.76 (e6_76 - variable name in dataset). Ask only if Q11.64 is 03 “Would cause some problem” or 04 “Would be very difficult”. The respondent is not too sure whether to pay [RDT START PRICE] or not, find out the reason for not being sure. For example, reason for not being sure to pay K2,000 [RDT START PRICE] so that the sick person could be treated with Coartem at a price of K9,000. Refer to Q11.59 for the description of possible answer categories. 69 2906 1 Unable to pay 2 Not worth it 3 Not reliable 4 Not necessary 15 25 96 Other Sysmiss Maintains RDT is 'not worth/relliable/necessary' Maintains RDT is 'not worth/relliable/necessary' Maintains RDT is 'not worth/relliable/necessary' Maintains RDT is 'not worth/relliable/necessary' Maintains RDT is 'not worth/relliable/necessary' PROBE WHETHER THE RESPONDENT UNDERSTOOD WHAT RDT IS, ITS PURPOSE AND SAFETY (11.31, 11.33, and 11.34) (e1_31, e1_33 and e1_34 - variable names in dataset). DOES THE RESPONDENT STILL MAINTAIN HIS/HER ANSWER OF "NOT WORTH / RELIABLE / NECESSARY" FROM 11.74? If answer is 1 > End of game. Go to next section. If answer is 2 > Go to 11.76 (e6_76 - variable name in dataset). Probe only if Q11.74 is 02, “Not worth”, 03 “Not reliable” or 04 “Not necessary”. Find out if respondent maintains the response for Q11.74. Meanwhile ensure that the respondent understood what RDT is, its purpose and safety. Try to give further explanation on RDTs if didn't understand, then probe if he/she still maintains the previous response. Avoid cases where responses are influenced by mere misunderstanding of the explanation on RDTs. Pay particular attention to skip instructions as well. 5 2970 1 Yes 2 No, changed his/her mind/Interested now 6 Sysmiss Rise money to pay RDT start price/Means Rise money to pay RDT start price/Means Rise money to pay RDT start price/Means Rise money to pay RDT start price/Means Rise money to pay RDT start price/Means How could you get enough money to pay [RDT START PRICE] so that the sick person could receive Coartem? Determine one way by which the household would earn an income to pay RDT START PRICE e.g. K2,000 so that the sick person could receive Coartem at K9,000. Refer to Q11.47 for description of the answer categories. 198 2777 1 Borrow from family 2 Borrow from friends 3 Borrow from money-lender 4 Work extra hours 5 Work extra job/piecework 6 Sell asste(s) 7 Reduce consumption 8 Would try but run into big debt 96 Other Sysmiss Consider RDT if less than Start Price Consider RDT if less than Start Price Consider RDT if less than Start Price Consider RDT if less than Start Price Consider RDT if less than Start Price Would you consider trying RDT if the price was less than [RDT START PRICE]? If answer is 1 > Continue with RDT negative (-) bidding. If answer is 2 > End of game. Go to next section. Find out if the respondent would consider paying less that [RDT START PRICE] for the RDT test. If answer is “YES”, continue with RDT negative bidding, if “NO” go to NEXT SECTION. 201 2774 1 Yes 2 No Sysmiss RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) RDT start price (from 61) USE THE BID BOX BELOW TO DETERMINE THE PRICE THE RESPONDENT IS WILLING TO PAY FOR AN RDT. COPY THE [RDT START PRICE] FROM THE STICKER IN (11.61) (e5_61 - variable name in dataset). 146 2829 500 7000 1813.356 703.324 Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) THEN RECORD THE [MAXIMUM ACT PRICE] FROM (11.62) (e5_62 - variable name in dataset). 139 2836 1000 9000 4653.237 2129.921 Willing to pay RDT BID 1/Neg Willing to pay RDT BID 1/Neg Willing to pay RDT BID 1/Neg Willing to pay RDT BID 1/Neg Willing to pay RDT BID 1/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 01 = [RDT START PRICE] - 250. If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.77) WERE "NO", THEN SKIP TO SECTION 11.6. First copy and record the RDT START PRICE from Q11.61 and MAXIMUM ACT PRICE from Q11.62 (Box # 3) into respective boxes. Each BID is going to subtract 250 Kwacha e.g. BID 01 = [RDT START PRICE] - 250, BID 02 = BID 01 - 250 and BID 03 = BID 02 - 250. If answer is NO continue bidding, and if Yes “would be willing to pay” go to next question (Q11.78). An example has been given below in an instance where RDT START PRICE is K2,000 and MAX ACT PRICE is K9,000. Note: In a case where all answers to Q11.77 were “NO” skip to SECTION 11.7. 145 2830 1 Yes 2 No Sysmiss Willing to pay RDT BID 2/Neg Willing to pay RDT BID 2/Neg Willing to pay RDT BID 2/Neg Willing to pay RDT BID 2/Neg Willing to pay RDT BID 2/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 02 = (BID 01 - 250). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.77) WERE "NO", THEN SKIP TO SECTION 11.6. First copy and record the RDT START PRICE from Q11.61 and MAXIMUM ACT PRICE from Q11.62 (Box # 3) into respective boxes. Each BID is going to subtract 250 Kwacha e.g. BID 01 = [RDT START PRICE] - 250, BID 02 = BID 01 - 250 and BID 03 = BID 02 - 250. If answer is NO continue bidding, and if Yes “would be willing to pay” go to next question (Q11.78). An example has been given below in an instance where RDT START PRICE is K2,000 and MAX ACT PRICE is K9,000. Note: In a case where all answers to Q11.77 were “NO” skip to SECTION 11.7. 128 2847 1 Yes 2 No Sysmiss Willing to pay RDT BID 3/Neg Willing to pay RDT BID 3/Neg Willing to pay RDT BID 3/Neg Willing to pay RDT BID 3/Neg Willing to pay RDT BID 3/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. Would you be willing to pay [BID XX] so that the sick person could use a Rapid Diagnostic Test and, if found to be infected with malaria, could be treated with Coartem for a price of [MAX ACT PRICE]? BID 03 = (BID 02 - 250). If answer is 2 > Go to next bid. IF ALL ANSWERS TO (11.77) WERE "NO", THEN SKIP TO SECTION 11.6. First copy and record the RDT START PRICE from Q11.61 and MAXIMUM ACT PRICE from Q11.62 (Box # 3) into respective boxes. Each BID is going to subtract 250 Kwacha e.g. BID 01 = [RDT START PRICE] - 250, BID 02 = BID 01 - 250 and BID 03 = BID 02 - 250. If answer is NO continue bidding, and if Yes “would be willing to pay” go to next question (Q11.78). An example has been given below in an instance where RDT START PRICE is K2,000 and MAX ACT PRICE is K9,000. Note: In a case where all answers to Q11.77 were “NO” skip to SECTION 11.7. 98 2877 1 Yes 2 No Sysmiss Certain to pay RDT BID 1/Neg Certain to pay RDT BID 1/Neg Certain to pay RDT BID 1/Neg Certain to pay RDT BID 1/Neg Certain to pay RDT BID 1/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01 = [RDT START PRICE] - 250. If answer is 1 > Go to 11.79 (e6_79 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.77 (e6_77 - variable name in dataset) next bid. Ask only if Q11.77 is Yes. If answer is 2, 3, 4 or 5, continue bidding by going back to Q11.77 until the respondent is sure to pay the amount in the bid. Refer to Q11.42 for description of possible answer categories. 35 2940 1 Without any doubt (100%) 2 Highly likely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay RDT BID 2/Neg Certain to pay RDT BID 2/Neg Certain to pay RDT BID 2/Neg Certain to pay RDT BID 2/Neg Certain to pay RDT BID 2/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 - 250). If answer is 1 > Go to 11.79 (e6_79 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.77 (e6_77 - variable name in dataset) next bid. Ask only if Q11.77 is Yes. If answer is 2, 3, 4 or 5, continue bidding by going back to Q11.77 until the respondent is sure to pay the amount in the bid. Refer to Q11.42 for description of possible answer categories. 44 2931 1 Without any doubt (100%) 2 Highly likely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay RDT BID 3/Neg Certain to pay RDT BID 3/Neg Certain to pay RDT BID 3/Neg Certain to pay RDT BID 3/Neg Certain to pay RDT BID 3/Neg EACH BID WILL SUBTRACT 250 KWACHA. So, BID 01 = [RDT START PRICE] - 250. BID 02 = [BID 01] - 250. BID 03 = [BID 02] - 250. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 - 250). If answer is 1 > Go to 11.79 (e6_79 - variable name in dataset). If answer is 2, 3, 4 or 5 > Go to 11.77 (e6_77 - variable name in dataset) next bid. Ask only if Q11.77 is Yes. If answer is 2, 3, 4 or 5, continue bidding by going back to Q11.77 until the respondent is sure to pay the amount in the bid. Refer to Q11.42 for description of possible answer categories. 74 2901 1 Without any doubt (100%) 2 Highly likely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price RECORD THE HIGHEST PRICE … IS WILLING TO PAY FOR AN RDT SO THAT THE SICK PERSON COULD BE TREATED WITH COARTEM IF INFECTED WITH MALARIA. RECORD AMOUNT IN KWACHA. Record the highest price (from Q11.77) the respondent would be willing to pay for RDT so that the sick person could be treated with Coartem if infected with malaria? This highest amount will be referred to as the [MAXIMUM RDT PRICE] for RDT Negative Bidding. Record it in Box # 5. 121 2854 250 2250 1169.421 538.337 Maximum RDT price (from 79) Maximum RDT price (from 79) Maximum RDT price (from 79) Maximum RDT price (from 79) Maximum RDT price (from 79) 1st RECORD [MAXIMUM RDT PRICE] FROM (11.79) (e6_79 - variable name in dataset). THESE PRICES WILL BE REFERRED TO AS MAX RDT PRICE] AND [MAX ACT PRICE] IN THE FOLLOWING QUESTIONS. Record [MAXIMUM RDT PRICE] for Q11.79 and the [MAXIMUM ACT PRICE] from Q11.62 in the respective boxes. 151 2824 2 10000 1620.874 1488.232 Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) Maximum ACT price (from 62) THEN RECORD THE [MAXIMUM ACT PRICE] USED IN THE BIDDING, FROM (11.62) (e5_62 - variable name in dataset). THESE PRICES WILL BE REFERRED TO AS MAX RDT PRICE] AND [MAX ACT PRICE] IN THE FOLLOWING QUESTIONS. Record [MAXIMUM RDT PRICE] for Q11.79 and the [MAXIMUM ACT PRICE] from Q11.62 in the respective boxes. 155 2820 1 25000 5724.206 3236.233 Willing to pay for ACT+RDT bundle Willing to pay for ACT+RDT bundle Willing to pay for ACT+RDT bundle Willing to pay for ACT+RDT bundle Willing to pay for ACT+RDT bundle So you would be willing to pay [MAX ACT PRICE] Kwacha for Coartem and [MAX RDT PRICE] Kwacha for RDT, a total of MAX [ACT PRICE + MAX RDT PRICE] for diagnosis and treatment with Coartem? If answer is 1 > Go to 11.85 (e8_85 - variable name in dataset). Probe and confirm with the respondent if he/she would be willing to pay both the [MAX ACT PRICE] and the [MAX RDT PRICE] for diagnosis and treatment of malaria with Coartem. Note: this MAX RDT PRICE is from an RDT negative bidding in example 2. In the example 2 MAX RDT PRICE is K1,500 and the MAX ACT PRICE is K9,000 from the positive bidding in Q11.45. Find out if the respondent would pay a bundle of K10,500 for both the diagnosis and the treatment with Coartem. 162 2813 1 Yes 2 No Sysmiss Not willing to pay for ACT+SDT bundle/Reason Not willing to pay for ACT+SDT bundle/Reason Not willing to pay for ACT+SDT bundle/Reason Not willing to pay for ACT+SDT bundle/Reason Not willing to pay for ACT+SDT bundle/Reason Why would you not be able to pay the bundled [MAX ACT PRICE + MAX RDT PRICE]? If answer is 2 > Go to 11.83 (e7_83 - variable name in dataset). Determine the reason for not being able to pay for both the MAX ACT PRICE and the MAX RDT PRICE a total of K10,500. Options of possible responses have been provided. Skip to Q11.83 if answer is 2 “Thought only need to pay for treatment”. 44 2931 1 Joint amount is too high 2 Thought only need no pay for treatment 3 Other 96 Sysmiss Means to getting most effective treatment as fast as possibl Means to getting most effective treatment as fast as possibl Means to getting most effective treatment as fast as possibl Means to getting most effective treatment as fast as possibl Means to getting most effective treatment as fast as possibl What would you do to get the most effective treatment as fast as possible? Many answer categories have been provided, but record only the most preferred way of obtaining effective treatment for malaria. Refer to Q11.70 for description of answer categories. 20 2955 1 Try to get coartem at lower price at the same facility 2 Try to get coartem at lower price at another private facility 3 Try to get coartem at public facility 4 Try to get coartem without RDT test 5 Try to get other antimalarial 96 Other Sysmiss Consider paying ACT price for bundle Consider paying ACT price for bundle Consider paying ACT price for bundle Consider paying ACT price for bundle Consider paying ACT price for bundle Would you consider paying [MAX ACT PRICE] for the whole package, which includes testing and treatment with Coartem, the price you offered to pay for Coartem alone? If answer is 1 > Go to 11.85 (e7_85 - variable name in dataset). If the respondent would consider paying MAX ACT PRICE for the whole package, skip to Q11.85. 43 2932 1 Yes 2 No 5 Sysmiss NOT Consider paying ACT price for bundle/Reason NOT Consider paying ACT price for bundle/Reason NOT Consider paying ACT price for bundle/Reason NOT Consider paying ACT price for bundle/Reason NOT Consider paying ACT price for bundle/Reason Why would you not consider paying [MAX ACT PRICE], the price you offered to pay for Coartem alone, for the bundled package? Possible answer categories have been provided, probe to be precise. See answer categories in the questionnaire. End of RDT Negative Bidding Section. 18 2957 1 Do not want to do RDT test 2 Can get coartem without test 3 Could get coartem from public facility 4 Other antimalarial os good enough 96 Other Sysmiss Maximum ACT price (from 45 or 55) Maximum ACT price (from 45 or 55) Maximum ACT price (from 45 or 55) Maximum ACT price (from 45 or 55) Maximum ACT price (from 45 or 55) ADMINISTER THIS SECTION ONLY FOR RESPONDENTS WHOSE MAXIMUM WILLINGNESS TO PAY (WTP) FOR COARTEM [MAXIMUM ACT PRICE] EXCEEDS 3,000.KWACHA. COPY FROM BOX #3 (11.61) (e5_61 - variable name in dataset). Carry out the second round bidding for RDT only if [MAXIMUM ACT PRICE] for either the Positive Bidding (Q11.45) or Negative Bidding (Q11.55) is greater than 3,000 Kwacha, or if the ACT Control Box is marked X. Remember, if the Positive Bidding Section is administered then there is no Negative Bidding for either the ACT or RDT prices. Record the [MAXIMUM ACT PRICE] from either Q11.45 or Q11.55 in the box provided. 2155 820 12 13000 7630.354 2624.021 Amount exceeds 3000 Kwacha Amount exceeds 3000 Kwacha Amount exceeds 3000 Kwacha Amount exceeds 3000 Kwacha Amount exceeds 3000 Kwacha IS THE AMOUNT RECORDED IN THE BOX BIGGER THAN 3,000 KWACHA? IF YES, CONTINUE WITH THE NEXT QUESTION. IF NO, END OF BID GAME, GO TO NEXT SECTION. If answer is 2 > Go to 11.90 (e8_90 - variable name in dataset). If [MAXIMUM ACT PRICE] recorded in Q11.85 is less than 3,000 Kwacha, End the Bidding Game and go to Q11.90, a child scenario. If bigger that 3,000 Kwacha record the MAX RDT PRICE in Box #6. 2149 826 1 Amount is bigger than 3,000 kwacha 2 Amount is smaller than 3,000 kwacha 3 Sysmiss Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price Maximum RDT price USE THE ELICITED [MAXIMUM RDT PRICE] AS THE START POINT FOR THIS BIDDING. CHECK THE ELICITED [MAXIMUM RDT PRICE] IN THE POSITIVE (+) or NEGATIVE (-) ARM. CONFIRM THE ELICITED [MAXIMUM RDT PRICE] IN THE BOX BELOW. If [MAXIMUM ACT PRICE] recorded in Q11.85 is less than 3,000 Kwacha, End the Bidding Game and go to Q11.90, a child scenario. If bigger that 3,000 Kwacha record the MAX RDT PRICE in Box #6. 2031 944 250 35000 2863.369 1571.348 Willing to pay more than 3000 kwacha/RDT 2nd Round/1 Willing to pay more than 3000 kwacha/RDT 2nd Round/1 Willing to pay more than 3000 kwacha/RDT 2nd Round/1 Willing to pay more than 3000 kwacha/RDT 2nd Round/1 Willing to pay more than 3000 kwacha/RDT 2nd Round/1 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. Now imagine that you receive more support from the government, and could be treated with Coartem (ACT) for 3,000 Kwacha if found to be infected with malaria. Would you be willing to pay more, [BID XX], for the RDT than what you stated before [MAXIMUM RDT PRICE]? BID 01 = [MAXIMUM RDT PRICE]+ 500. If answer is 2 > Go to 11.89 (e8_89 - variable name in dataset). This is the Second Positive Round Bidding for RDT, it is also adding 500 Kwacha to each BID (e.g. BID 01, BID 02 or BID 03). The difference is that [MAXIMUM RDT PRICE] for either the positive or the negative bidding is used in place of an [RDT START PRICE] and that MAXMUM ACT PRICE is now 3,000 Kwacha. If answer is NO, “not willing to pay more than MAX RDT PRICE”, stop the bidding game and go to Q11.89. 2027 948 1 Yes 2 No Sysmiss Willing to pay more than 3000 kwacha/RDT 2nd Round/2 Willing to pay more than 3000 kwacha/RDT 2nd Round/2 Willing to pay more than 3000 kwacha/RDT 2nd Round/2 Willing to pay more than 3000 kwacha/RDT 2nd Round/2 Willing to pay more than 3000 kwacha/RDT 2nd Round/2 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. Now imagine that you receive more support from the government, and could be treated with Coartem (ACT) for 3,000 Kwacha if found to be infected with malaria. Would you be willing to pay more, [BID XX], for the RDT than what you stated before [MAXIMUM RDT PRICE]? BID 02 = (BID 01 + 500). If answer is 2 > Go to 11.89 (e8_89 - variable name in dataset). This is the Second Positive Round Bidding for RDT, it is also adding 500 Kwacha to each BID (e.g. BID 01, BID 02 or BID 03). The difference is that [MAXIMUM RDT PRICE] for either the positive or the negative bidding is used in place of an [RDT START PRICE] and that MAXMUM ACT PRICE is now 3,000 Kwacha. If answer is NO, “not willing to pay more than MAX RDT PRICE”, stop the bidding game and go to Q11.89. 1422 1553 1 Yes 2 No Sysmiss Willing to pay more than 3000 kwacha/RDT 2nd Round/3 Willing to pay more than 3000 kwacha/RDT 2nd Round/3 Willing to pay more than 3000 kwacha/RDT 2nd Round/3 Willing to pay more than 3000 kwacha/RDT 2nd Round/3 Willing to pay more than 3000 kwacha/RDT 2nd Round/3 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. Now imagine that you receive more support from the government, and could be treated with Coartem (ACT) for 3,000 Kwacha if found to be infected with malaria. Would you be willing to pay more, [BID XX], for the RDT than what you stated before [MAXIMUM RDT PRICE]? BID 03 = (BID 02 + 500). If answer is 2 > Go to 11.89 (e8_89 - variable name in dataset). This is the Second Positive Round Bidding for RDT, it is also adding 500 Kwacha to each BID (e.g. BID 01, BID 02 or BID 03). The difference is that [MAXIMUM RDT PRICE] for either the positive or the negative bidding is used in place of an [RDT START PRICE] and that MAXMUM ACT PRICE is now 3,000 Kwacha. If answer is NO, “not willing to pay more than MAX RDT PRICE”, stop the bidding game and go to Q11.89. 1179 1796 1 Yes 2 No Sysmiss Certain to pay for coartem/BID1 Certain to pay for coartem/BID1 Certain to pay for coartem/BID1 Certain to pay for coartem/BID1 Certain to pay for coartem/BID1 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 01 = [MAXIMUM RDT PRICE]+ 500. If answer is 1, 2, 3 or 4 > Go to 11.87 (e8_87 - variable name in dataset) next bid. If answer is 5 > Go to 11.89 (e8_89 - variable name in dataset). Ask only if Q11.87 is Yes. If answer category is 5 go to Q11.89 but where answer is either 1, 2, 3 or 4, continue with bidding by returning to Q11.87. Refer to Q11.42 for description of possible answers. 1481 1494 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay for coartem/BID2 Certain to pay for coartem/BID2 Certain to pay for coartem/BID2 Certain to pay for coartem/BID2 Certain to pay for coartem/BID2 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 02 = (BID 01 + 500). If answer is 1, 2, 3 or 4 > Go to 11.87 (e8_87 - variable name in dataset) next bid. If answer is 5 > Go to 11.89 (e8_89 - variable name in dataset). Ask only if Q11.87 is Yes. If answer category is 5 go to Q11.89 but where answer is either 1, 2, 3 or 4, continue with bidding by returning to Q11.87. Refer to Q11.42 for description of possible answers. 1247 1728 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss Certain to pay for coartem/BID3 Certain to pay for coartem/BID3 Certain to pay for coartem/BID3 Certain to pay for coartem/BID3 Certain to pay for coartem/BID3 EACH BID WILL ADD 500 MORE KWACHA. SO BID 01 = [MAXIMUM RDT PRICE] + 500. BID 02 = [BID 01] + 500. BID 03 = [BID 02 + 500]. How sure are you to pay [BID XX] so that the sick person could receive Coartem? BID 03 = (BID 02 + 500). If answer is 1, 2, 3 or 4 > Go to 11.87 (e8_87 - variable name in dataset) next bid. If answer is 5 > Go to 11.89 (e8_89 - variable name in dataset). Ask only if Q11.87 is Yes. If answer category is 5 go to Q11.89 but where answer is either 1, 2, 3 or 4, continue with bidding by returning to Q11.87. Refer to Q11.42 for description of possible answers. 1086 1889 1 Without any doubt (100%) 2 Highly lkely (75%) 3 Would Cause Some Problem (50%) 4 Would be Very Difficult (25%) 5 Certain Rejection (0%) Sysmiss 2nd Round RDT price 2nd Round RDT price 2nd Round RDT price 2nd Round RDT price 2nd Round RDT price RECORD THE HIGHEST PRICE … IS WILLING TO PAY FOR AN RDT SO THAT THE SICK PERSON COULD BE TREATED WITH COARTEM AT A PRICE OF 3,000 KWACHA, IF INFECTED WITH MALARIA. RECORD AMOUNT IN KWACHA. The amount given will be referred to as the [SECOND MAXIMUM RDT PRICE] for RDT Second Positive Bidding. Record amount in Box # 7. 2035 940 2 55000 3822.116 2584.585 WTP Child ACT WTP Child ACT WTP Child ACT WTP Child ACT WTP Child ACT Now, imagine that it was your child who fell ill with fever/malaria. How much would you pay for your child to be treated with Coartem? RECORD AMOUNT IN KWACHA. Record the amount in the box provided. 2153 822 50000 5473.781 4305.485 WTP Child ACT vs Adult WTP Child ACT vs Adult WTP Child ACT vs Adult WTP Child ACT vs Adult WTP Child ACT vs Adult THEN MARK IN THE BOX BELOW HOW THIS COMPARES TO THE MAX ACT PRICE FOR THE ADULT. Mark in the box how the amount in Q11.90 compares to the [MAX ACT PRICE] for the adult. Is it Higher, the same, lower or household does not allow ACT? This MAX ACT PRICE is either from the Positive ACT bidding or the Negative ACT bidding e.g. K9,000 in example 1 and not the [MAX ACT PRICE (K3,000) ] in the second round bidding. 2154 821 1 Higher 2 Same 3 Lower 4 Not Allow ACT Sysmiss WTP Child RDT WTP Child RDT WTP Child RDT WTP Child RDT WTP Child RDT How much would you pay for your child to be diagnosed with RDT? RECORD AMOUNT IN KWACHA. Record the amount in the box provided. 2154 821 30000 2718.802 2255.857 WTP Child RDT vs Adult WTP Child RDT vs Adult WTP Child RDT vs Adult WTP Child RDT vs Adult WTP Child RDT vs Adult THEN MARK IN THE BOX BELOW HOW THIS COMPARES TO THE MAX RDT PRICE FOR THE ADULT. Mark in the box how the amount in Q11.91 compares to the [MAX RDT PRICE] for the adult. Is it Higher, the same, lower or household does not allow RDT? This the MAX RDT PRICE from either the Positive or the Negative bidding for RDT and not the RDT second round bidding. 2153 822 1 Higher 2 Same 3 Lower 4 Not Allow RDT Sysmiss Household resident had malaria (past 12 months) Household resident had malaria (past 12 months) Household resident had malaria (past 12 months) Household resident had malaria (past 12 months) Household resident had malaria (past 12 months) NOW, I WILL ASK YOU A FEW QUESTION ABOUT PREVIOUS EXPERIENCE IN YOUR HOUSEHOLD RELATED TO MALARIA. SOME OF THESE QUESTION MAY BE A BIT SENSITIVE, BUT YOUR ANSWER WOULD BE VERY HELPFUL AND APPRECIATED. Has anybody in your household had malaria in the past 12 months? If answer is 2 > Go to 11.95 (e9_95 - variable name in dataset). The past 12 months refer to 12 months prior to the day of interview. For example, if the interview for this particular household takes place on 2nd June, 2009, the reference period will be from 2nd June, 2008 to 2nd June, 2009. Therefore, the main aim of this question is to find out if any member of the household had malaria during the 12 months prior to the day of the interview. Pay particular attention to the description for household member. Do not include people who visited the household 10 months ago for 3 months and had a malaria episode during the visit to the village. If NO go to Q11.95. 2964 11 1 Yes 2 No Sysmiss Malaria episodes within the household requiring basic care a Malaria episodes within the household requiring basic care a Malaria episodes within the household requiring basic care a Malaria episodes within the household requiring basic care a Malaria episodes within the household requiring basic care a In the past 12 months, how many fever/malaria episodes did your household experience that required at least basic care, such as taking drugs? There could be other cases of fever/malaria but they cleared without taking any drugs. This question requires only those that did take drugs to cure the illness, whether hospitalized or not. Record the total number the fever/malaria episodes occurred in the household. Only those episodes that occurred on household members and not on non members. 2057 918 1 1 episode 2 2 episodes 3 3 episodes or more 4 Sysmiss Severe Malaria episodes within the household requiring urgen Severe Malaria episodes within the household requiring urgen Severe Malaria episodes within the household requiring urgen Severe Malaria episodes within the household requiring urgen Severe Malaria episodes within the household requiring urgen Has anybody in your household had severe malaria that required urgent medical care or hospitalization in the past 12 months? This question wishes to know if there were any critical cases of malaria which needed urgent medical care or the patient being admitted at a hospital/clinic for treatment. 2046 929 1 Yes 2 No Sysmiss Household member with cerebral malaria Household member with cerebral malaria Household member with cerebral malaria Household member with cerebral malaria Household member with cerebral malaria Has anyone in your family had cerebral malaria, which could lead to adverse long-term consequences in one's health, and life in general? If answer is 2 > Go to 11.98 (e9_98 - variable name in dataset). This question wishes to know if there were any cases of cerebral malaria which could lead to adverse long term consequences in one's health and life. Cerebral malaria is one which affects the intellectual part of the brain. It causes hallucinations in a sick person. Take time to explain the condition of a patient with cerebral malaria so that the respondent may understand what you are talking about. If answer is NO, skip to Q11.98. Note: reference period is not stated but still on the household members, including those who have left or died. 2469 506 1 Yes 2 No Sysmiss Malaria cases ID/1 Malaria cases ID/1 Malaria cases ID/1 Malaria cases ID/1 Malaria cases ID/1 IF YES, PROBE FOR ID OF THE HH MEMBER(S), RECORD ID IN NUMBERED BOXES. IF NOT HH MEMBER, RECORD "98". IF DEAD, RECORD "99". CASE 1. If the answer to Q11.95 is YES, ask for the name of the household member (s) and record ID in the boxes provided. If person not household member at the time of the interview, record “98” and if dead, record “99”. 233 2742 1 99 43.845 47.269 Malaria cases ID/2 Malaria cases ID/2 Malaria cases ID/2 Malaria cases ID/2 Malaria cases ID/2 IF YES, PROBE FOR ID OF THE HH MEMBER(S), RECORD ID IN NUMBERED BOXES. IF NOT HH MEMBER, RECORD "98". IF DEAD, RECORD "99". CASE 2. If the answer to Q11.95 is YES, ask for the name of the household member (s) and record ID in the boxes provided. If person not household member at the time of the interview, record “98” and if dead, record “99”. 16 2959 99 45.75 47.88 Malaria cases ID/3 Malaria cases ID/3 Malaria cases ID/3 Malaria cases ID/3 Malaria cases ID/3 IF YES, PROBE FOR ID OF THE HH MEMBER(S), RECORD ID IN NUMBERED BOXES. IF NOT HH MEMBER, RECORD "98". IF DEAD, RECORD "99". CASE 3. If the answer to Q11.95 is YES, ask for the name of the household member (s) and record ID in the boxes provided. If person not household member at the time of the interview, record “98” and if dead, record “99”. 8 2967 99 50.625 50.965 Episode happened/Duration/1 Episode happened/Duration/1 Episode happened/Duration/1 Episode happened/Duration/1 Episode happened/Duration/1 How long ago did this episode happen? Duration. Case 1. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 231 2744 1 29 3.983 4.051 Episode happened/Unit/1 Episode happened/Unit/1 Episode happened/Unit/1 Episode happened/Unit/1 Episode happened/Unit/1 How long ago did this episode happen? Unit. Case 1. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 233 2742 1 Years 2 Weeks 3 Months 4 5 Sysmiss Episode happened/Duration/2 Episode happened/Duration/2 Episode happened/Duration/2 Episode happened/Duration/2 Episode happened/Duration/2 How long ago did this episode happen? Duration. Case 2. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 15 2960 1 20 3.933 4.773 Episode happened/Unit/2 Episode happened/Unit/2 Episode happened/Unit/2 Episode happened/Unit/2 Episode happened/Unit/2 How long ago did this episode happen? Unit. Case 2. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 15 2960 1 Years 2 Weeks 3 Months 4 Sysmiss Episode happened/Duration/3 Episode happened/Duration/3 Episode happened/Duration/3 Episode happened/Duration/3 Episode happened/Duration/3 How long ago did this episode happen? Duration. Case 3. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 7 2968 1 4 2.429 1.397 Episode happened/Unit/3 Episode happened/Unit/3 Episode happened/Unit/3 Episode happened/Unit/3 Episode happened/Unit/3 How long ago did this episode happen? Unit. Case 3. RECORD DURATION AND THE CORRESPONDING UNIT CODE. This question is referring to cerebral malaria episodes. How many days, weeks, months or years ago did it happen for each respective member that suffered the illness. Record the duration and unit codes in the appropriate boxes. Record up to 3 members. 7 2968 1 Years 2 Weeks 3 Months 4 Sysmiss Dead houshold member due to malaria Dead houshold member due to malaria Dead houshold member due to malaria Dead houshold member due to malaria Dead houshold member due to malaria Has your household lost any member as a result of fever / malaria? If answer is 2 > Go to next section. Find out if there is any member of this household who died as a result of fever/malaria. Record '1' if 'Yes' and '2' if none died of fever/malaria and skip to 'next section'. NOTE time frame not given. 2961 14 1 Yes 2 No 3 Sysmiss Loss due to malaria (time ago)/1 Loss due to malaria (time ago)/1 Loss due to malaria (time ago)/1 Loss due to malaria (time ago)/1 Loss due to malaria (time ago)/1 IF MORE THEN ONE, RECORD IN THE BOXES, STARTING WITH THE MOST RECENT LOSS. When did your household suffer this loss of the household member? Loss 1. Ask only if Q11.98 is 'Yes'. Possible answer categories have been provided, record the answer code for the period (when the losses occurred) in the boxes provided and labeled as Loss 1, Loss 2 and Loss 3. Start with the most recent loss. 120 2855 1 Past 12 months 2 Past 5 years 3 6-10 years 4 More than 10 years 5 6 Sysmiss Loss due to malaria (time ago)/2 Loss due to malaria (time ago)/2 Loss due to malaria (time ago)/2 Loss due to malaria (time ago)/2 Loss due to malaria (time ago)/2 IF MORE THEN ONE, RECORD IN THE BOXES, STARTING WITH THE MOST RECENT LOSS. When did your household suffer this loss of the household member? Loss 2. Ask only if Q11.98 is 'Yes'. Possible answer categories have been provided, record the answer code for the period (when the losses occurred) in the boxes provided and labeled as Loss 1, Loss 2 and Loss 3. Start with the most recent loss. 8 2967 1 Past 12 months 2 Past 5 years 3 6-10 years 4 More than 10 years Sysmiss Loss due to malaria (time ago)/3 Loss due to malaria (time ago)/3 Loss due to malaria (time ago)/3 Loss due to malaria (time ago)/3 Loss due to malaria (time ago)/3 IF MORE THEN ONE, RECORD IN THE BOXES, STARTING WITH THE MOST RECENT LOSS. When did your household suffer this loss of the household member? Loss 3. Ask only if Q11.98 is 'Yes'. Possible answer categories have been provided, record the answer code for the period (when the losses occurred) in the boxes provided and labeled as Loss 1, Loss 2 and Loss 3. Start with the most recent loss. 1 2974 1 Past 12 months 2 Past 5 years 3 6-10 years 4 More than 10 years Sysmiss Loss due to malaria (age range)/1 Loss due to malaria (age range)/1 Loss due to malaria (age range)/1 Loss due to malaria (age range)/1 Loss due to malaria (age range)/1 Was this person …? Loss 1. RECORD CODE(S) IN THE BOX(ES), STARTING WITH THE MOST RECENT LOSS. Find out the position of the deceased at the time he/she died. Read out the possible responses provided to the respondent for each loss recorded in Q11.96 and record CODE simultaneously in the answer boxes. For example, if its loss 1 in Q11.96, ensure that the response to this question is recorded in the loss 1 box. 119 2856 1 household head 2 child under 1 year old 3 child under 5 years old 4 child under 12 years old 5 pregnant woman 6 females 12 and above (not pregnant) 7 male 12 and above Sysmiss Household head: If the deceased was the head of this household at the time he/she died. Child under 1 year old: If the deceased was a child below the age of 1 year at the time he/she died. Child under 5 years old: If the deceased was a child below the age of 5 years at the time he/she died. Child under 12 years old: If the deceased was a child below the age of 12 years at the time he/she died. Pregnant woman: If the deceased was a woman and pregnant at the time she died. Female 12 and ABOVE (Not Pregnant): If the deceased was a female aged 12 years or more and was not pregnant at the time she died. Male 12 and above: If the deceased was male age 12 years or more Loss due to malaria (age range)/2 Loss due to malaria (age range)/2 Loss due to malaria (age range)/2 Loss due to malaria (age range)/2 Loss due to malaria (age range)/2 Was this person …? Loss 2. RECORD CODE(S) IN THE BOX(ES), STARTING WITH THE MOST RECENT LOSS. Find out the position of the deceased at the time he/she died. Read out the possible responses provided to the respondent for each loss recorded in Q11.96 and record CODE simultaneously in the answer boxes. For example, if its loss 1 in Q11.96, ensure that the response to this question is recorded in the loss 1 box. 8 2967 1 household head 2 child under 1 year old 3 child under 5 years old 4 child under 12 years old 5 pregnant woman 6 females 12 and above (not pregnant) 7 male 12 and above Sysmiss Household head: If the deceased was the head of this household at the time he/she died. Child under 1 year old: If the deceased was a child below the age of 1 year at the time he/she died. Child under 5 years old: If the deceased was a child below the age of 5 years at the time he/she died. Child under 12 years old: If the deceased was a child below the age of 12 years at the time he/she died. Pregnant woman: If the deceased was a woman and pregnant at the time she died. Female 12 and ABOVE (Not Pregnant): If the deceased was a female aged 12 years or more and was not pregnant at the time she died. Male 12 and above: If the deceased was male age 12 years or more Loss due to malaria (age range)/3 Loss due to malaria (age range)/3 Loss due to malaria (age range)/3 Loss due to malaria (age range)/3 Loss due to malaria (age range)/3 Was this person …? Loss 3. RECORD CODE(S) IN THE BOX(ES), STARTING WITH THE MOST RECENT LOSS. Find out the position of the deceased at the time he/she died. Read out the possible responses provided to the respondent for each loss recorded in Q11.96 and record CODE simultaneously in the answer boxes. For example, if its loss 1 in Q11.96, ensure that the response to this question is recorded in the loss 1 box. 1 2974 1 household head 2 child under 1 year old 3 child under 5 years old 4 child under 12 years old 5 pregnant woman 6 females 12 and above (not pregnant) 7 male 12 and above Sysmiss Household head: If the deceased was the head of this household at the time he/she died. Child under 1 year old: If the deceased was a child below the age of 1 year at the time he/she died. Child under 5 years old: If the deceased was a child below the age of 5 years at the time he/she died. Child under 12 years old: If the deceased was a child below the age of 12 years at the time he/she died. Pregnant woman: If the deceased was a woman and pregnant at the time she died. Female 12 and ABOVE (Not Pregnant): If the deceased was a female aged 12 years or more and was not pregnant at the time she died. Male 12 and above: If the deceased was male age 12 years or more Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2975 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2975 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2975 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2975 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2975 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2975 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2630 345 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2667 308 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2971 4 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 1896 1079 1 30 5.102 2.576 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 6400 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 6400 Person ID Person ID Person ID Person ID Person ID ID CODE Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 6293 107 Mother/Caregiver ID Mother/Caregiver ID Mother/Caregiver ID Mother/Caregiver ID Mother/Caregiver ID RECORD ID CODE OF MOTHER OR PRIMARY CAREGIVER Record the IDENTITY CODE of the main respondent from the flap. Each household member is numbered (given a serial number) in the flap. These serial number are also known as identity codes. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5897 503 Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago Perceived Health/ 12 months ago 12 months ago, how was ….'s health on a normal day? ONLY IF CHILD IS 2 OR ABOVE, IF CHILD < 2 THEN GO TO 14.03 (d1_03 - variable name in dataset). Ask this question only on child of 2 years and above. Replace the dash (……….) with the name of the person. Ask the respondent to recall the health of the child 1 year (12 months) ago, on a normal day. Was it excellent, good, fair or poor? Probe to get these differences. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5335 1065 1 Excellent 2 Good 3 Fair 4 Poor Sysmiss Excellent - the person is tremendously or exceptionally ok, he/she is able to do any kind of work he/she wants without a single problem. Good - person is fine, can work or do any other thing without any problem. Fair - person is pale, not in a healthy condition but on another hand not in a poor condition, Poor - person is unhealthy, hardly does any form of work. Playing with friends is not exceptional. Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today Perceived Health/ Today How is …..'s health today? Ask only if Q14.02 is 03 “Fair” or 04 “Poor”. Find out the person's health today as compared to 12 months ago. Having Known the health of the child 12 months prior to the time of the interview, ask the respondent to compare it with that of today. Is it the same, worse or better? Probe to get these differences. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5935 465 1 Better 2 Worse 3 Same 4 Sysmiss Better - person has improved from that Fair or Poor health condition. Worse - person's health has deteriorated from the previous Fair or Poor condition. The Same - person's health condition has neither improved nor deteriorated, it is still the same. Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Feel Able to do daily activities Given …..'s health, how is ….. currently able to do daily activities, such as working, going to school or playing? Considering the person's current health condition, determine whether he/she can perform activities such as working, going to school or playing easily, without any difficult or can not do it at all. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5964 436 1 Easily 2 With Some Dificulty 3 With Much Difficulty 4 Unable to do Sysmiss Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks Been Sick/ last 4 weeks In the last 4 weeks, has ….. been sick at any time? If answer is 2 > Go to 14.41 (d1_41 - variable name in dataset). Record '1' for YES also if a person's illness started earlier than the 4 weeks period before the survey as long as the person was still sick during the 4 weeks period before the survey or currently as you enumerate. If the child was sick during the last 4 weeks period before the survey and is no longer sick, you still record '1' for YES. If a person was not sick during the last four weeks and not sick at the time of the interview skip to Q14.44. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 5938 462 1 Yes 2 No 4 Sysmiss Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) Mainly Suffering from/ last 4 weeks (1st) What was … mainly suffering from? 1st. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it was/is established that it was/is malaria - only then do you record fever/malaria. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1155 5245 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 24 Paralysis 96 Other Sysmiss Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) Mainly Suffering from/ last 4 weeks (2nd) What was … mainly suffering from? 2nd. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it was/is established that it was/is malaria - only then do you record fever/malaria. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 278 6122 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 24 Paralysis 96 Other Sysmiss Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) Mainly Suffering from/ last 4 weeks (3rd) What was … mainly suffering from? 3rd. IN CASE OF MORE EPISODES DURING THE LAST 4 WEEKS, RECORD UP TO 3 ILLNESSES. This question applies only to those who were sick at any time in the last 4 weeks or is still sick. Find out what he/she was/is mainly suffering from. Record up to 3 illnesses starting with the most severe. For example, if the person had a cough/cold and also a fever - record cough/cold. Fever is normally a symptom of other illnesses. Unless the person only had fever or it was/is established that it was/is malaria - only then do you record fever/malaria. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 58 6342 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 24 Paralysis 96 Other Sysmiss Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) Last Illness/Episode Start (amount) How long ago did the last episode of the illness start? Number. Possible answer categories have been provided. Enter number of days/weeks/months in the “Number column” and the answer codes (01 or 02 or 03) in the “Unit column”. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1169 5231 60 3.662 4.366 Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) Last Illness/Episode Start (unit) How long ago did the last episode of the illness start? Unit. Possible answer categories have been provided. Enter number of days/weeks/months in the “Number column” and the answer codes (01 or 02 or 03) in the “Unit column”. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1165 5235 1 Days 2 Weeks 3 Months Sysmiss Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) Last Illness/Episode Stopped (amount) How long ago did the illness stop? Number. Possible answer categories have been provided. Enter number of days/weeks in the “Number column” and the answer code in the Unit column. If child is still sick record answer category 03 in the Unit column and leave the Number column blank. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1083 5317 27 2.759 3.203 Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) Last Illness/Episode Stopped (unit) How long ago did the illness stop? Unit. Possible answer categories have been provided. Enter number of days/weeks in the “Number column” and the answer code in the Unit column. If child is still sick record answer category 03 in the Unit column and leave the Number column blank. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1158 5242 1 Days 2 Weeks 3 Still Sick 8 Sysmiss Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Consulted Health Institution/personnel Did you (the respopndent) consult any health institution/personnel for this illness of ...? If answer is 1 > Go to 14.11 (d1_11 - variable name in dataset). A health consultation is one where a person has approached or sought medical advice/attention from any medical officer, spiritual healer or traditional healer (including herbalists) whether at a public or private health institution or merely by calling a medical officer on a private engagement, or by consulting a church pastor. This consultation could even be done outside Zambia. If the child took medicine that was bought without consultation or was available in the house, then that is self-administered medicine and the answer should be NO. If this medicine did not work and consultation was done later, then the answer category should be 'YES'. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1140 5260 1 Yes 2 Self-Treated Only 3 No Sysmiss Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Reason for Not Consulting Why didn't you (the respondent) consult a health institution or personnel for care? Go to 14.29 (d1_29 - variable name in dataset). Determine why the household did not approach or sought medical advice/attention from any health facility, spiritual healer and/or traditional healer so that the sick person could receive treatment. Note: Skip to Q14.29 after administering this question. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 387 6013 1 Too Expensive 2 Too Far 3 Too Busy (work, children) 4 Wasn't sisck enough 5 Facility has poor structure 6 Facility poorly stocked 7 Poor staff attitude 8 Poor staff knowledge 9 Don't trust the staff 10 96 Other Sysmiss Too expensive: Meaning the charge for consultation at the health facility or traditional healer or spiritual healer is too high. Too far: meaning the distance from the household to the point of service is too big to travelled. Too busy (work, children): The person had many things to do or was busy taking care of children. Wasn't sick enough: The illness was not severe enough to seek consultation. Facility has poor infrastructure: The facility has poor buildings such as waiting room, treatment room, toilets/bathrooms etc. Facility poorly stocked: Health Facility does not have enough drugs and/or equipment to use. Poor staff attitude: Medical personnel have bad approach, behaviour or have no manners. Poor staff knowledge: Medical staff or other personnel at the point of service have little information on the operations of the medical field. Don't trust the staff: Person has no confidence in the people working at the point of service. Consulting decision made by Consulting decision made by Consulting decision made by Consulting decision made by Consulting decision made by Who decided ….. should go there for the illness? IN RELATION TO SICK PERSON. Find out the person who decided that the sick child should be taken to the said health care giver for treatment. It should be in relation to the mother or respondent. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 768 5632 1 Self 2 Spouse 3 Parent 4 Parent-in-Law 5 Other relative 6 Friends/Neighbors 7 Community Health Worker 96 Other Sysmiss Seek care after (time period) Seek care after (time period) Seek care after (time period) Seek care after (time period) Seek care after (time period) How long after the illness started did you (the respondent) seek care for …'s illness? This question is trying to find out how long it took the household after the sickness had started to seek health care for the illness. Was it within 24 hours, after 24 hours, within the same week, within 2 weeks or 3 weeks? Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 762 5638 1 Within 24 hours 2 After 24 hours, next day 3 Same Week 4 Within 2 Weeks 5 Within 3 Weeks Sysmiss Where did you seek care Where did you seek care Where did you seek care Where did you seek care Where did you seek care Where did you (the respondent) seek care for …'s illness? Probe for the health institution/personnel or any other place where the sick person was taken for the treatment of the illness. Record only the main place the household sought care from. Possible options have been provided. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 758 5642 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 7 Pharmacy 9 Traditional Healer 10 Faith/Church Healer 11 Community Health Worker 12 Kantemba (Zambia Specific) 13 Drug Store (Zambia Specific) 96 Other Sysmiss Facility Name Facility Name Facility Name Facility Name Facility Name INTERVIEWER: IF PUBLIC HOSPITAL/CLINIC OR CENTER/POST, PROBE FOR NAME OF FACILITY AND RECORD CODE. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. If answer for Q14.13 is hospital/clinic/center, find out the name and record the code for the same facility. Codebooks for the public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. Record the name and code in the appropriate columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 736 Facility Code Facility Code Facility Code Facility Code Facility Code INTERVIEWER: IF PUBLIC HOSPITAL/CLINIC OR CENTER/POST, PROBE FOR NAME OF FACILITY AND RECORD CODE. PROVIDE CODE BOOK FOR ENUMERATOR. PUBLIC FACILITY CODEBOOKS WILL BE COMPILED PER DISTRICT BY SUPERVISORS WITH HELP FROM MOH/DHMT. If answer for Q14.13 is hospital/clinic/center, find out the name and record the code for the same facility. Codebooks for the public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. Record the name and code in the appropriate columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 583 5817 Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) Distance Household-Health Facility (one way, Km) How far is your household to this point of service? ONE WAY. Find out the distance from the dwelling/residence to the point of service (health facility where the sick person was taken to seek care). Distance can be obtained from any knowledgeable person including health worker, school teacher, student, religious leader etc. Distance is also commonly given in terms of time e.g. 20 minutes, 45 minutes or 1 hour walk. In this case a standard conversion factor is going to be used (On average a person takes 1 hour walk a distance of 5 km). Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 705 5695 60000 1908.609 4304.942 Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) Household-Health Facility Travel Time (hours) For the last visit with …'s illness, how much time did it take to travel to and from your household to the institution? Hours. Find out the time it took to travel to and from the institution in the last time the child was taken to the institution. This is regardless of the mode of transport used. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 701 5699 35 1.716 2.735 Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) Household-Health Facility Travel Time (minutes) For the last visit with …'s illness, how much time did it take to travel to and from your household to the institution? Minutes. Find out the time it took to travel to and from the institution in the last time the child was taken to the institution. This is regardless of the mode of transport used. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 663 5737 50 16.127 15.605 Waiting time in Institution (hours Waiting time in Institution (hours Waiting time in Institution (hours Waiting time in Institution (hours Waiting time in Institution (hours For the last visit, how much time did ….. wait to be seen in the institution? Hours. The last time the sick child was taken to the hospital/clinic, find out the time it took them to wait in order to be attended to by the health care provider. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 623 5777 10 0.945 1.357 Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) Waiting time in Institution (minutes) For the last visit, how much time did ….. wait to be seen in the institution? Minutes. The last time the sick child was taken to the hospital/clinic, find out the time it took them to wait in order to be attended to by the health care provider. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 701 5699 50 14.438 14.271 Attended by (personnel) Attended by (personnel) Attended by (personnel) Attended by (personnel) Attended by (personnel) For the last visit, who attended to ….. during the consultation? Indicate the most qualified person that attended to the child at the institution. For example, if during the consultation, a nurse, and then a doctor were consulted, the answer category entered should be 'medical doctor'. Refer to Q10.17. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 753 5647 1 Doctor/Clinical Officer 2 Nurse/Midwife 3 Community Health Worker 4 Lab Technician 5 Pharmacist 6 Traditional Healer 7 Spiritual Healer 8 Drug Seller 9 Temporary Worker 10 96 Other Sysmiss Illness diagnosis method Illness diagnosis method Illness diagnosis method Illness diagnosis method Illness diagnosis method How was …'s illness diagnosed? If answer is 1, 2 or 5 > Go to 14.21 (d1_21 - variable name in dataset). Determine how the illness was detected or identified in the sick child. Was it by symptomatic diagnosis (identify illness using symptoms), clinical diagnosis (by physical examination)- examining the sick person by touching or checking the affected parts of the body, microscopy/blood slide (diagnosis by examining blood sample using a microscope), Rapid Diagnostic Test or X-ray? Probe to be precise. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 742 5658 1 Symptomatic Diagnosis (by provider) 2 Clinical Diagnosis (by provider with physical laboratory investigation) 3 Rapid Diagnostic Test (RDT) 4 X-ray 96 Other Sysmiss Malaria Test Result Malaria Test Result Malaria Test Result Malaria Test Result Malaria Test Result If ………. was tested for malaria, what was the result of the lab / RDT test? THE TEST IS POSITIVE (+) IF THE RESPONDENT HAS/HAD MALARIA. Ask only for those who were tested for malaria. Find out if the malaria test results from the lab/RDC test were positive (malaria parasites were present in the blood) or negative (absence of malaria parasites in the blood) of the sick child. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 253 6147 1 Positive 2 Negative 3 Not Valid Sysmiss Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees Consultation Expenses (last 4 weeks)/ Registration Fees In the last 4 weeks, how much did you spend for treatment of … at this institution on the following….? Registration Fees. READ ALOUD EACH OPTION. Record the amount spent on each of the following services (registration, consultation, laboratory and transportation). If the medicine was given without any consultation or laboratory tests, then enter zero in both the consultation and laboratory fees columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 665 5735 9000 171.955 522.966 Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees Consultation Expenses (last 4 weeks)/Consultation Fees In the last 4 weeks, how much did you spend for treatment of … at this institution on the following….? Consultation Fees. READ ALOUD EACH OPTION. Record the amount spent on each of the following services (registration, consultation, laboratory and transportation). If the medicine was given without any consultation or laboratory tests, then enter zero in both the consultation and laboratory fees columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 669 5731 9000 82.81 719.772 Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees Consultation Expenses (last 4 weeks)/Lab Fees In the last 4 weeks, how much did you spend for treatment of … at this institution on the following….? Lab Fees. READ ALOUD EACH OPTION. Record the amount spent on each of the following services (registration, consultation, laboratory and transportation). If the medicine was given without any consultation or laboratory tests, then enter zero in both the consultation and laboratory fees columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 668 5732 5000 7.485 193.456 Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation Consultation Expenses (last 4 weeks)/Transportation In the last 4 weeks, how much did you spend for treatment of … at this institution on the following….? Transportation. READ ALOUD EACH OPTION. Record the amount spent on each of the following services (registration, consultation, laboratory and transportation). If the medicine was given without any consultation or laboratory tests, then enter zero in both the consultation and laboratory fees columns. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 665 5735 60000 293.233 2934.48 Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount Forgone/Postponed Payment total amount IF THE PAYMENT WAS FORGONE / POSTPONED BECAUSE THE RESPONDENT COULD NOT AFFORD IT, RECORD THE TOTAL AMOUNT HERE. If the respondent could not afford to pay for any of the services in Q14.21 but was attended to without the charge or that it should be paid later, record the amount that was supposed to be paid. If two or more services were forgone/postponed, record the total. For example, Consultation fee (K5,000) and Laboratory fee (K3,000) are forgone, then the amount to be recorded here is K8,000. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 672 5728 60000 1 Yes 2 No Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) Hospitalized to treat this illness (last 4 weeks) In the last 4 weeks, was …... hospitalized to treat this illness? If answer is 2 > Go to 14.27 (d1_27 - variable name in dataset). Find out if the sick child was admitted in the hospital or clinic in the last four weeks in order to be treated for the illness. Those hwo were hospitalized but did not consult any health institution/personnel include the accident victims. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 701 5699 1 Yes 2 No 20 Sysmiss Public Institution Name Public Institution Name Public Institution Name Public Institution Name Public Institution Name PROBE FOR NAME OF PUBLIC HOSPITAL/CLINIC AND RECORD CODE. NAME. If it was a public hospital/clinic, find out the name and record the code. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to enumerator. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 57 Public Institution Code Public Institution Code Public Institution Code Public Institution Code Public Institution Code PROBE FOR NAME OF PUBLIC HOSPITAL/CLINIC AND RECORD CODE. CODE. If it was a public hospital/clinic, find out the name and record the code. Codebooks for public facilities will be compiled for each district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to enumerator. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 36 6364 Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount Hospitalization duration/ amount For how long was …... hospitalized? Number. Find out the period the sick child was admitted at the hospital or clinic in order to treat the illness. Was it for hours, days, weeks? If the child is still hospitalized/admitted, record “0” in the Number column and code 04 in the unit column. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 49 6351 1 30 4.245 5.96 Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit Hospitalization duration/ unit For how long was …... hospitalized? Unit. Find out the period the sick child was admitted at the hospital or clinic in order to treat the illness. Was it for hours, days, weeks? If the child is still hospitalized/admitted, record “0” in the Number column and code 04 in the unit column. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 44 6356 1 Hours 2 Days 3 Weeks 4 Sysmiss Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) Hospitalization Cost (last 4 weeks) In the last 4 weeks, how much did you spend on …'s hospitalization to treat this illness? EXCLUDE COSTS RECORDED IN (14.21). WRITE "0" IF NOTHING. Record how much was spent for hospitalization/admission to treat the illness. If no money was spent on hospitalization, then enter zero. Also ensure that you are asking for admission fee and not any of the service charges in Q14.21. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 47 6353 60000 2223.404 9689.645 Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) Treatment Medication Taken (last 4 weeks) In the last 4 weeks, did ….. take any medication to treat this illness? If answer is 2 > Go to 14.34 (d1_34 - variable name in dataset). If didn't take any medication, skip to Q14.34. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 751 5649 1 Yes 2 No Sysmiss Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) Treatment Medication started after (time period) How long after the illness started did ….. start taking medication? This question is trying to find out how long it took after the illness started for the sick child to start receiving medication to treat the illness. Was it within 24 hours, after 24 hours, within the same week, within 2 weeks or 3 weeks? Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 674 5726 1 Within 24 hours 2 After 24 hours, next day 3 Same Week 4 Within 2 Weeks 5 Within 3 Weeks Sysmiss Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar Medication Taken (last 4 weeks)/SP/Fansidar In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? SP/Fansidar. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 996 5404 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine Medication Taken (last 4 weeks)/Chloroquine In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Chloroquine. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1003 5397 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine Medication Taken (last 4 weeks)/Amodiaquine In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Amodiaquine. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1013 5387 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets Medication Taken (last 4 weeks)/Quinine Tablets In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Quinine Tablets. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1016 5384 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables Medication Taken (last 4 weeks)/Quinine Injectables In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Quinine Injectables. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1012 5388 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter Medication Taken (last 4 weeks)/Artemeter In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Artemeter. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1016 5384 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem Medication Taken (last 4 weeks)/Coartem In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Coartem. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1018 5382 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin Medication Taken (last 4 weeks)/Aspirin In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Aspirin. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1014 5386 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol Medication Taken (last 4 weeks)/Acetaminophen/Paracetamol In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Acetaminophen / Paracetamol. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1022 5378 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen Medication Taken (last 4 weeks)/Ibuprofen In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Ibuprofen. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1004 5396 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Oral Rehydration Therapy Medication Taken (last 4 weeks)/Oral Rehydration Therapy Medication Taken (last 4 weeks)/Oral Rehydration Therapy Medication Taken (last 4 weeks)/Oral Rehydration Therapy Medication Taken (last 4 weeks)/Oral Rehydration Therapy In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? Oral Rehydration Therapy. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 994 5406 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 Medication Taken (last 4 weeks)/Other1 In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? OTHER, SPECIFY. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 722 5678 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 Medication Taken (last 4 weeks)/Other2 In the last 4 weeks, did ….. take any of the following in order to treat …..'s illness? OTHER, SPECIFY. List of medicines have been provided, read out each one of them to the respondent. If possible explain those which he/she might not know. In addition, each interviewer will be provided with sample boxes for all medicines for easy identification by respondents. If respondent mentions a medicine that is not on the list, record 96 and specify the name. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 499 5901 1 Yes 2 No 96 Other 99 DK Sysmiss Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Medication Obtained (institution/facility)/SP/Fansidar Where did you obtain the medication? SP/Fansidar. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 186 6214 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Sysmiss Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Medication Obtained (institution/facility)/Chloroquine Where did you obtain the medication? Chloroquine. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 19 6381 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Medication Obtained (institution/facility)/Amodiaquine Where did you obtain the medication? Amodiaquine. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 15 6385 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Medication Obtained (institution/facility)/Quinine Tablets Where did you obtain the medication? Quinine Tablets. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 63 6337 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Medication Obtained (institution/facility)/Quinine Injectabl Where did you obtain the medication? Quinine Injectables. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 31 6369 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Medication Obtained (institution/facility)/Artemeter Where did you obtain the medication? Artemeter. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 9 6391 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Medication Obtained (institution/facility)/Coartem Where did you obtain the medication? Coartem. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 262 6138 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Sysmiss Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Medication Obtained (institution/facility)/Aspirin Where did you obtain the medication? Aspirin. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 106 6294 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Medication Obtained (institution/facility)/Acetaminophen/Par Where did you obtain the medication? Acetaminophen / Paracetamol. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 545 5855 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Sysmiss Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Medication Obtained (institution/facility)/Ibuprofen Where did you obtain the medication? Ibuprofen. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 33 6367 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Oral Rehydration Medication Obtained (institution/facility)/Oral Rehydration Medication Obtained (institution/facility)/Oral Rehydration Medication Obtained (institution/facility)/Oral Rehydration Medication Obtained (institution/facility)/Oral Rehydration Where did you obtain the medication? Oral Rehydration Therapy. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 38 6362 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Medication Obtained (institution/facility)/Other1 Where did you obtain the medication? OTHER, SPECIFY. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 213 6187 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store 96 Other 99 Sysmiss Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Medication Obtained (institution/facility)/Other2 Where did you obtain the medication? OTHER, SPECIFY. You are to record the code for the first institution or personnel where the medicine was obtained to cure the illness. You are to find out the type of health institution, was it hospital/clinic/center? The answer category “personal supply” refers to a situation where the sick person took medicine directly from what is stored in the house or dugout or collected on herbs without going through an institution or anyone else. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 20 6380 1 Government Hospital 2 Government Clinic 3 Government Health Post 4 Private Hospital 5 Private Clinic 6 Pharmacy 7 Traditioinal Healer 8 Faith/Church/ Healer 9 Community Health Worker 10 Friends/Neighbors 11 Family Member 12 Personal Supply 13 Kantemba 14 Drug Store Sysmiss Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) Public Institution Name (medication obtained) IF PUBLIC HOSPITAL, CLINIC OR CENTER, PROBE FOR NAME OF FACILITY AND RECORD CODE. NAME. If answer for Q14.30 is 'hospital/clinic/center', find out the name and record the code. Public facility codebooks will be compiled per district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 641 Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) Public Institution Code (medication obtained) IF PUBLIC HOSPITAL, CLINIC OR CENTER, PROBE FOR NAME OF FACILITY AND RECORD CODE. CODE. If answer for Q14.30 is 'hospital/clinic/center', find out the name and record the code. Public facility codebooks will be compiled per district by supervisors with the help of the Ministry of Health/District Health Management Team and be provided to each enumerator. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 384 6016 1 2 3 4 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 24 25 26 28 30 31 35 36 39 40 54 72 100 113 120 130 180 210 230 260 305 500 301014 Sysmiss Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar Medication Cost (last 4 weeks)/SP/Fansidar In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? SP/Fansidar. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 149 6251 3000 436.913 915.581 Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine Medication Cost (last 4 weeks)/Chloroquine In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Chloroquine. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 13 6387 150 11.538 41.603 Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine Medication Cost (last 4 weeks)/Amodiaquine In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Amodiaquine. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 15 6385 3500 260 902.219 Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets Medication Cost (last 4 weeks)/Quinine Tablets In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Quinine Tablets. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 57 6343 4000 166.667 670.377 Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables Medication Cost (last 4 weeks)/Quinine Injectables In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Quinine Injectables. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 29 6371 Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter Medication Cost (last 4 weeks)/Artemeter In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Artemeter. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 12 6388 Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem Medication Cost (last 4 weeks)/Coartem In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Coartem. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 214 6186 12000 192.051 1271.974 Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin Medication Cost (last 4 weeks)/Aspirin In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Aspirin. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 71 6329 1500 126.761 318.796 Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol Medication Cost (last 4 weeks)/Acetaminophen/Paracetamol In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Acetaminophen / Paracetamol. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 434 5966 3000 255.876 506.249 Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen Medication Cost (last 4 weeks)/Ibuprofen In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Ibuprofen. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 24 6376 1500 145.833 345.127 Medication Cost (last 4 weeks)/Oral Rehydration Therapy Medication Cost (last 4 weeks)/Oral Rehydration Therapy Medication Cost (last 4 weeks)/Oral Rehydration Therapy Medication Cost (last 4 weeks)/Oral Rehydration Therapy Medication Cost (last 4 weeks)/Oral Rehydration Therapy In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? Oral Rehydration Therapy. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 26 6374 2000 115.385 431.455 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 Medication Cost (last 4 weeks)/Other1 In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? OTHER. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 173 6227 25000 714.15 2331.272 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 Medication Cost (last 4 weeks)/Other2 In the last 4 weeks, how much did you spend on each of the following in order to treat …….'s illness? OTHER. If Don't Know, record '99'. Record the amount spent on each of the medicines that were paid for. If the medicine was not bought or no money was spent on it e.g. was just given by friends, neighbours or relatives then record zero. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 91 6309 3000 112.088 412.266 Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) Medication Total Expenses (last 4 weeks) ADD & CONFIRM: IN THE LAST 4 WEEKS, HOW MUCH DID YOU(RESPONDENT) SPEND ON MEDICATION FOR … IN TOTAL? Go to 14.36 (d1_36 - variable name in dataset). Add the amount spent on medication, then confirm with the respondent by asking him/her for the total amount that was spent on medication alone in order to treat………'s illness. Then skip to Q14.35. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 693 5707 10000 466.597 1250.906 Reason for not taking medication Reason for not taking medication Reason for not taking medication Reason for not taking medication Reason for not taking medication Why didn't ….. take medication for the illness? Ask only if Q14.27 is NO. There could be many reasons for not giving the child medication, but record only the main one. Possible answers have been provided. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 114 6286 1 Too Expensive 2 Too Far 3 Too Busy (Work, Children) 4 Out of Stock 5 Wasn't Sick Enough 6 Doesn't Help 7 Afraid of Side Effects 96 Other Sysmiss Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on Reason for not taking medication based on What information was this decision based on? Find out the information on which the decision not to give the sick child medication was based on. Find out the source of information on which the decision in Q14.34 was made. Is it based on “previous experience”, “head from friends” or “in the community”?. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 99 6301 1 Previous Experience 2 Heard from friend 3 Heard in comunity 96 Other Sysmiss Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) Missed Active days due to health (last 4 weeks) In the last 4 weeks, how many days of school, work, play or other main activities has ….. missed due to poor health? Record the number of days that the sick person stayed away from doing usual activities such as playing with friends, going to school or working. Probe to be precise. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1134 5266 71 2.668 4.17 Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) Days confined to bed due to health (last 4 weeks) In the last 4 weeks, how many days has ….. been confined to bed due to poor health? Record the number of days that the child was restricted to bed due to poor health. For example, a person who was been ill for 2 weeks and on bed rest during the last 1 week, he/she was confined restricted to bed for 7 days . Probe to be precise. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1086 5314 81 3.354 8.301 Illness Outcome Illness Outcome Illness Outcome Illness Outcome Illness Outcome What was the outcome of …..'s illness? Find out the results of this illness. Was it full or partial recovery or have not yet recovered? Find out if the child has been able to do things normally like when he/she is well. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1111 5289 1 Full recovery 2 Partial recovery 3 Not yet recovered Sysmiss Stop working to take care of ill child Stop working to take care of ill child Stop working to take care of ill child Stop working to take care of ill child Stop working to take care of ill child When ….. was sick, did you stop working to take care of him/her? If answer is 2 or 3 > Go to 14.41 (d1_41 - variable name in dataset). Find out if the respondent or any other caregiver in the household ever stopped carrying out normal livelihood activities in order to care for this child. If NO skip to Q14.41. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1007 5393 1 Yes 2 No 3 Does not work Sysmiss Days missed (work) for taking care of ill child Days missed (work) for taking care of ill child Days missed (work) for taking care of ill child Days missed (work) for taking care of ill child Days missed (work) for taking care of ill child In the last 4 weeks, how many days of work did you miss to take care of …..? Find out the number of days the respondent stayed away from carrying out the livelihood activities in order to care for the sick.. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 570 5830 72 4.781 10.39 Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) Fever/Malaria Episodes (last 3 months) How many episodes of fever/malaria has ….. had in the last 1 month? IF NONE GO TO 14.43 (d1_43 - variable name in dataset). Record the number of times the sick person has had fever/malaria in the past 3 months. This is 3 months prior to the day of the interview. Refere to Q10.39. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 4846 1554 7 0.191 0.49 Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) Regular Activity Days Missed (cause: Fever/Malaria) How many days of regular activity did ….. miss during these episodes of fever/malaria? Record the number of days the child stayed away from regular activity (e.g. going to school, playing) due to fever/malaria in the past 3 months. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 1375 5025 82 3.301 7.742 Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Continuously ill (3 months in the last 12) Has … been continuously ill for at least 3 months in the last 12 months? Find out if the child was constantly ill for a minimum period of 3 months during the past 12 months. If the person was only sick for 3 weeks during that 12 months reference period, the answer should be NO. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 4877 1523 1 Yes 2 No Sysmiss Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) Mainly sufering from (disease 1) What has … been mainly suffering from? 1st. RECORD CODE(S) FROM 14.06, UP TO 2 DISEASES, BASED ON SEVERITY. Record only up to 2 illnesses based on the severity. If the child suffered many illnesses, only consider 2 most serious ones. This question refers to the illness that the person suffered continuously/constantly for at least a period of 3 months in Q14.43. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 152 6248 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 24 Paralysis 96 Other Sysmiss Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) Mainly sufering from (disease 2) What has … been mainly suffering from? 2nd. RECORD CODE(S) FROM 14.06, UP TO 2 DISEASES, BASED ON SEVERITY. Record only up to 2 illnesses based on the severity. If the child suffered many illnesses, only consider 2 most serious ones. This question refers to the illness that the person suffered continuously/constantly for at least a period of 3 months in Q14.43. Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 8 6392 1 Fever/Malaria 2 Cough/Chest Infection 3 Tuberculosis 4 Asthma 5 Bronchitis 6 Pneumonia 7 Diarrhea without blood 8 Diarrhea with blood 9 Diarrhea and Vomiting 10 Vomiting 11 Abdominal Pain 12 Anemia 13 Skin Rash/Infection 14 Eye Rash/Infection 15 Measles 16 Jaundice 17 Headhache 18 Toothache 19 Stroke 20 Hypertension 21 Diabetes 22 HIV/AIDS 24 Paralysis 96 Other Sysmiss Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 6279 121 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 6269 131 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 6276 124 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 6276 124 82 5.93 5.709 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 5152 1248 -78 99 5.345 4.257 Mother or primary caregiver of child household members < 12 years old who reported illness in the past 1 month. 6276 124 -985 1810.417 7.13 41.281 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 6400 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 6400 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 6400 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 6400 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 6400 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 6400 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 6384 16 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 6383 17 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 6399 1 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 6346 54 1 15 6.527 2.18 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 933 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 933 Person ID Person ID Person ID Person ID Person ID ID CODE Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 928 5 Took to any health facility/seen by CHW (past 3 months, suff Took to any health facility/seen by CHW (past 3 months, suff Took to any health facility/seen by CHW (past 3 months, suff Took to any health facility/seen by CHW (past 3 months, suff Took to any health facility/seen by CHW (past 3 months, suff CHECK (14.41): IF … WAS SUFFERING FROM FEVER/MALARIA IN THE PAST 1 MONTH, DID YOU TAKE HIM/HER TO ANY HEALTH FACILITY AND/OR HAS (S)HE BEEN SEEN BY A COMMUNITY HEALTH WORKER (CHW)? If answer is 2 > Go to 14.51 (d4_51 - variable name in dataset). If answer is 4 > Go to next section. Ask only if person had malaria episodes in the past 1 month or if Q14.41 is not ZERO (0). Find out if the sick child was taken to the health facility or to the CHW or even to both. If he/she was not taken to any of the 2 go to Next Section. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 906 27 1 Facility 2 Only CHW 3 Both 4 No Sysmiss Satisfaction/Distance to service point Satisfaction/Distance to service point Satisfaction/Distance to service point Satisfaction/Distance to service point Satisfaction/Distance to service point When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Distance to the point of service? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 480 453 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Distance to the point of service: the person's satisfaction on the distance travelled from the house to the health institution. Satisfaction/Transport available to service point Satisfaction/Transport available to service point Satisfaction/Transport available to service point Satisfaction/Transport available to service point Satisfaction/Transport available to service point When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Transport available to the point of service? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Transport available to the point of service: person's satisfaction on the availability of transport to the health institution. First determine the mode of transport used by the community to the health institution and its availability. Satisfaction/Cost of getting to service point Satisfaction/Cost of getting to service point Satisfaction/Cost of getting to service point Satisfaction/Cost of getting to service point Satisfaction/Cost of getting to service point When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Cost of getting to the point of service? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cost of getting to the point of service: Find out how satisfied the respondent is on the money spent on transport and other expenses (food, accommodation etc) to get to the health institution. Satisfaction/Service point operational hours Satisfaction/Service point operational hours Satisfaction/Service point operational hours Satisfaction/Service point operational hours Satisfaction/Service point operational hours When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Operational hours of the point of service? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Operational hours of the point of services: The number of hours or the time the health institution is open to attend to patients in a day. Is it enough for a reasonable number of patients to be attended to? Does it open early and close late or vice versa? Satisfaction/Time needed for paperwork and registration Satisfaction/Time needed for paperwork and registration Satisfaction/Time needed for paperwork and registration Satisfaction/Time needed for paperwork and registration Satisfaction/Time needed for paperwork and registration When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Time needed for paperwork and registration at point of service. Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Time needed for paperwork and registration at point of service: person's satisfaction on time required to register a patient and do other paperwork at the reception desk or consultation room before medical examinations are carried out. Satisfaction/Cleanliness of examination room and equipment Satisfaction/Cleanliness of examination room and equipment Satisfaction/Cleanliness of examination room and equipment Satisfaction/Cleanliness of examination room and equipment Satisfaction/Cleanliness of examination room and equipment When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Availability of facilities for waiting with family members? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Availability of facilities for waiting with family members: waiting room/lounge where family members and/or sick person can comfortably sit as they wait to be attended to at the institution. Satisfaction/Availability of waiting facilities Satisfaction/Availability of waiting facilities Satisfaction/Availability of waiting facilities Satisfaction/Availability of waiting facilities Satisfaction/Availability of waiting facilities When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Cleanliness of examination room and equipment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 486 447 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cleanliness of examination room and equipment: Find out if the person was happy with the level of hygiene in the room where the medical personnel carry out the examinations and that of the equipment used. Satisfaction/Cleanliness of service point (waiting room, bat Satisfaction/Cleanliness of service point (waiting room, bat Satisfaction/Cleanliness of service point (waiting room, bat Satisfaction/Cleanliness of service point (waiting room, bat Satisfaction/Cleanliness of service point (waiting room, bat When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Cleanliness of point of service (waiting room, bathrooms)? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cleanliness of point of service (waiting room and bathroom): hygiene/cleanliness in the waiting room and bathroom. Was the person satisfied, unsatisfied or neither of the two? Satisfaction/Enough doctors/nurses/attendees Satisfaction/Enough doctors/nurses/attendees Satisfaction/Enough doctors/nurses/attendees Satisfaction/Enough doctors/nurses/attendees Satisfaction/Enough doctors/nurses/attendees When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Enough number of doctors/ nurses/ attendees? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Number of doctors/nurses/attendees: Determine the level of satisfaction of the person with the number of medical personnel attending to sick people at the institution. Satisfaction/Privacy at front desk and during examination Satisfaction/Privacy at front desk and during examination Satisfaction/Privacy at front desk and during examination Satisfaction/Privacy at front desk and during examination Satisfaction/Privacy at front desk and during examination When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Privacy at the reception desk and during examination? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Privacy at the reception desk and during examination: level of satisfaction on privacy practiced by health personnel at the reception and examination room at the institution. For example, other people hearing everything that is being discussed at the reception and/or seeing how the health care provider is conducting a physical or symptomatic examination on the sick person. Satisfaction/Waiting time before be treated Satisfaction/Waiting time before be treated Satisfaction/Waiting time before be treated Satisfaction/Waiting time before be treated Satisfaction/Waiting time before be treated When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Waiting time before being treated? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Waiting time before being treated: Satisfaction on the time spent waiting to receive medicine to treat the illness. Satisfaction/Medical staff takes enough time for treatment Satisfaction/Medical staff takes enough time for treatment Satisfaction/Medical staff takes enough time for treatment Satisfaction/Medical staff takes enough time for treatment Satisfaction/Medical staff takes enough time for treatment When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Medical staff taking enough time for your treatment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff taking enough time for your treatment: Doctors/Clinical Officer/Nurses in a hurry or taking their time to carry out diagnosis and administer medication. Satisfaction/Helpful and responsive medical staff Satisfaction/Helpful and responsive medical staff Satisfaction/Helpful and responsive medical staff Satisfaction/Helpful and responsive medical staff Satisfaction/Helpful and responsive medical staff When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Medical staff being helpful and responsive? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff being helpful and responsive: Medical staff being supportive and quick to respond to situations. Determine the level of satisfaction the person was with that. Satisfaction/Medical staff showing respect Satisfaction/Medical staff showing respect Satisfaction/Medical staff showing respect Satisfaction/Medical staff showing respect Satisfaction/Medical staff showing respect When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Medical staff showing respect? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff showing respect: Medical staff showing some regard to the patients or people that get to the institution for medical care. Satisfaction/Medical staff asking for feedback and complaint Satisfaction/Medical staff asking for feedback and complaint Satisfaction/Medical staff asking for feedback and complaint Satisfaction/Medical staff asking for feedback and complaint Satisfaction/Medical staff asking for feedback and complaint When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Medical staff asking for your feedback and complaints? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Medical staff asking for your feedback and complaints: Medical staff (e.g. doctor/nurse) asking for further explanation on how the sick child is behaving. Satisfaction/Getting explanation about diagnosis Satisfaction/Getting explanation about diagnosis Satisfaction/Getting explanation about diagnosis Satisfaction/Getting explanation about diagnosis Satisfaction/Getting explanation about diagnosis When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Getting an explanation about the diagnosis? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Getting an explanation about the diagnosis: Getting explaining on the findings of the medical examination from medical personnel. Satisfaction/Getting explanation about treatment purpose Satisfaction/Getting explanation about treatment purpose Satisfaction/Getting explanation about treatment purpose Satisfaction/Getting explanation about treatment purpose Satisfaction/Getting explanation about treatment purpose When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Getting an explanation about the purpose of the treatment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 484 449 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Getting an explanation about the purpose of the treatment: Getting explanation on the kind of illness that is being treated. Satisfaction/Understanding the diagnosis Satisfaction/Understanding the diagnosis Satisfaction/Understanding the diagnosis Satisfaction/Understanding the diagnosis Satisfaction/Understanding the diagnosis When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Understand-ing the diagnosis? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 488 445 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Understanding the diagnosis: Understanding the findings of the medical examination when the medical personnel give an explanation. Satisfaction/Receiving information about further treatment Satisfaction/Receiving information about further treatment Satisfaction/Receiving information about further treatment Satisfaction/Receiving information about further treatment Satisfaction/Receiving information about further treatment When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Receiving information about further treatment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Receiving information about further treatment: Information about additional medication to cure the illness if the preceding medicine was unsuccessful. Satisfaction/Receiving information about treatment side-effe Satisfaction/Receiving information about treatment side-effe Satisfaction/Receiving information about treatment side-effe Satisfaction/Receiving information about treatment side-effe Satisfaction/Receiving information about treatment side-effe When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Receiving information about side-effects of treatment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Receiving information about side effects of treatment: To be provided with adequate information about the negative/positive impacts of a kind of medication being administered to a patient. Satisfaction/Out-of-pocket treatment cost Satisfaction/Out-of-pocket treatment cost Satisfaction/Out-of-pocket treatment cost Satisfaction/Out-of-pocket treatment cost Satisfaction/Out-of-pocket treatment cost When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Cost of treatment (out of pocket)? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Cost of treatment (out of pocket): Satisfaction on the amount paid to cure the illness. Out of pocket is money from your own pocket. Satisfaction/Cost of treatment clarity Satisfaction/Cost of treatment clarity Satisfaction/Cost of treatment clarity Satisfaction/Cost of treatment clarity Satisfaction/Cost of treatment clarity When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Clarity about cost of treatment? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Clarity about cost of treatment: Transparency in disclosing the cost of the entire treatment (cost of curing the illness). Satisfaction/Cost of medication clarity Satisfaction/Cost of medication clarity Satisfaction/Cost of medication clarity Satisfaction/Cost of medication clarity Satisfaction/Cost of medication clarity When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Clarity about cost of medication? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Clarity about cost of medication: Transparency in disclosing the cost of the medicine or drugs. Satisfaction/Enough medication and drug availability at serv Satisfaction/Enough medication and drug availability at serv Satisfaction/Enough medication and drug availability at serv Satisfaction/Enough medication and drug availability at serv Satisfaction/Enough medication and drug availability at serv When you went to the health institution to seek care for …'s illness, how satisfied were you with the following? Point of service having sufficient medication and drugs available? Determine the level of satisfaction/happiness/fulfillment of the knowledgeable household member of the child at the health facility in relation to the following services concerning the health institution. Was the person satisfied, neither satisfied nor unsatisfied or unsatisfied? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 489 444 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Recommend health institution to others Recommend health institution to others Recommend health institution to others Recommend health institution to others Recommend health institution to others Would you recommend the health institution to others? If answer is 1 > Go to 14.49 (d4_49 - variable name in dataset). Find out if the respondent would encourage other people to take their children to the same institution for medical consultation and treatment. Enter 01 if “Yes” and skip to Q14.49. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 476 457 1 Yes 2 No Sysmiss Reason for not recommending Reason for not recommending Reason for not recommending Reason for not recommending Reason for not recommending Why wouldn't you recommend it? Find out the reason for not wanting to encourage other people to go to the same institution for treatment. Is it because of poor quality of care, medical staff not helpful, treatment too expensive or facility not clean? Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 50 883 1 Poor quality of care 2 Medical staff not helpful 3 Treatment too expensive 4 Facility not clean 96 Other Sysmiss Transferred for tratment to another clinic/hospital Transferred for tratment to another clinic/hospital Transferred for tratment to another clinic/hospital Transferred for tratment to another clinic/hospital Transferred for tratment to another clinic/hospital Were you transferred for the treatment of this illness to another clinic/hospital? Find out if the sick child was given a referral letter to another clinic/hospital for further and appropriate treatment, especially when the preceding medicine was not successful. If the answer is NO skip to Q14.51. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 482 451 1 Yes 2 No 3 Sysmiss Satisfaction/Clarity about transfer procedures Satisfaction/Clarity about transfer procedures Satisfaction/Clarity about transfer procedures Satisfaction/Clarity about transfer procedures Satisfaction/Clarity about transfer procedures How satisfied were you with the transfer process? Clarity about transfer procedures? PROBE WHETHER … RECEIVED A REFERRAL LETTER. If a referral letter was given to go to another clinic/hospital for further treatment, find out if there was transparency in the procedure used and the level of satisfaction with it. Refer to Q10.60. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 11 922 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Seen by CHW (past 3 months) Seen by CHW (past 3 months) Seen by CHW (past 3 months) Seen by CHW (past 3 months) Seen by CHW (past 3 months) Were you seen by a Community Health Worker (CHW) during these past 1 month? If answer is 2 > Go to next child. If NO go to next section. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 461 472 1 Yes 2 No 4 Sysmiss Satisfaction/CHW helpful and responsive Satisfaction/CHW helpful and responsive Satisfaction/CHW helpful and responsive Satisfaction/CHW helpful and responsive Satisfaction/CHW helpful and responsive How satisfied were you with the following? Community Health Workers being helpful and responsive? Refer to Q10.65 and Q14.46. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 40 893 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Satisfaction/Enough CHW Satisfaction/Enough CHW Satisfaction/Enough CHW Satisfaction/Enough CHW Satisfaction/Enough CHW How satisfied were you with the following? Enough community health workers? Refer to Q10.65 and Q14.46. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 40 893 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Satisfaction/CHW time availability for attending Satisfaction/CHW time availability for attending Satisfaction/CHW time availability for attending Satisfaction/CHW time availability for attending Satisfaction/CHW time availability for attending How satisfied were you with the following? Community Health Worker's time availability to attend to you? Refer to Q10.65 and Q14.46. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 40 893 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Satisfaction/CHW showing respect Satisfaction/CHW showing respect Satisfaction/CHW showing respect Satisfaction/CHW showing respect Satisfaction/CHW showing respect How satisfied were you with the following? Community Health Workers show respect? Refer to Q10.65 and Q14.46. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 40 893 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Satisfaction/CHW is a good role model Satisfaction/CHW is a good role model Satisfaction/CHW is a good role model Satisfaction/CHW is a good role model Satisfaction/CHW is a good role model How satisfied were you with the following? Community Health Worker are good role models? Refer to Q10.65 and Q14.46. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 40 893 1 Very Satisfied 2 Satisfied 3 Neither Satisfied nor Unsatisfied 4 Unsatisfied 5 Very Unsatisfied Sysmiss Recommend CHW to others Recommend CHW to others Recommend CHW to others Recommend CHW to others Recommend CHW to others Would you recommend Community Health Workers to others? If answer is 1 > Go to next child. Find out if the respondent would encourage other people to visit the Community Health Workers for care or treatment. If YES skip to next Section. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 47 886 1 Yes 2 No Sysmiss Reason for not recommending CHW Reason for not recommending CHW Reason for not recommending CHW Reason for not recommending CHW Reason for not recommending CHW Why wouldn't you recommend them? Find out why the respondent would not encourage other people to take children to the community health worker for care and treatment. Is it because of poor quality of care, not helpful, treatment too expensive or difficult to access CHWs? Possible options have been provided. Refer to Q10.67. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 3 930 1 Poor quality of care 2 Not helpful 3 Treatment too expensive 4 Difficult to access 96 Other Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 933 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 933 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 933 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 933 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 933 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 933 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 831 102 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 838 95 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 933 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 646 287 2 15 6.149 2.199 Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day Date of Birth/Day What is ....'s date of birth? Day. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 915 18 Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M Date of Birth/M What is ....'s date of birth? Month. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 915 18 Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y Date of Birth/Y What is ....'s date of birth? Year. IF RESPONDENT DOES NOT KNOW DAY OR MONTH, WRITE '99'. IF DOES NOT KNOW YEAR, PROBE USING TABLE OF EVENTS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 917 16 Age/Years Age/Years Age/Years Age/Years Age/Years How old is ......? Years. IF <5 YEARS OLD, ALSO COLLECT MONTHS. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 915 18 62 4.899 5.025 Age/Months Age/Months Age/Months Age/Months Age/Months How old is ......? Months. Mother or primary caregiver of child household members < 12 years old who reported fever/malaria in the past 1 month. 478 455 11 5.418 3.502 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 3000 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 3000 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 3000 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 3000 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 3000 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 3000 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 3000 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 3000 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 2999 1 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 2998 2 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 2999 1 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2995 5 15 5.06 2.403 Household Long Number Household Long Number Household Long Number Household Long Number Household Long Number HH NUMBER 3000 Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban URBAN/RURAL 2999 1 1 Rural 2 Peri Urban Sysmiss Locality Name Locality Name Locality Name Locality Name Locality Name LOCALITY NAME 2997 Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code CHIEF/CHIEFTAINESS' AREA 2952 48 Household Head Name Household Head Name Household Head Name Household Head Name Household Head Name NAME OF HEAD OF HOUSEHOLD 2998 Medical Assistant Name (1st) Medical Assistant Name (1st) Medical Assistant Name (1st) Medical Assistant Name (1st) Medical Assistant Name (1st) MEDICAL ASSISTANT'S NAME. 1ST. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 1699 Medical Assistant Code (1st) Medical Assistant Code (1st) Medical Assistant Code (1st) Medical Assistant Code (1st) Medical Assistant Code (1st) MEDICAL ASSISTANT'S CODE. 1ST. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 2627 373 Medical Assistant Name (2nd) Medical Assistant Name (2nd) Medical Assistant Name (2nd) Medical Assistant Name (2nd) Medical Assistant Name (2nd) MEDICAL ASSISTANT'S NAME. 2ND. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 289 Medical Assistant Code (2nd) Medical Assistant Code (2nd) Medical Assistant Code (2nd) Medical Assistant Code (2nd) Medical Assistant Code (2nd) MEDICAL ASSISTANT'S CODE. 2ND. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 728 2272 Medical Assistant Name (3rd) Medical Assistant Name (3rd) Medical Assistant Name (3rd) Medical Assistant Name (3rd) Medical Assistant Name (3rd) MEDICAL ASSISTANT'S NAME. 3RD. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 275 Medical Assistant Code (3rd) Medical Assistant Code (3rd) Medical Assistant Code (3rd) Medical Assistant Code (3rd) Medical Assistant Code (3rd) MEDICAL ASSISTANT'S CODE. 3RD. Write your name against 'Medical Assistant's name' and the date on which you first interviewed this household against `Date of first interview'. If you visited a particular household more than once indicate you name and the date of the second visit against 'Date of second interview',. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part. 733 2267 DATE OF FIRST VISIT 2501 499 Date of Visit (1st)/Day Date of Visit (1st)/Day Date of Visit (1st)/Day Date of Visit (1st)/Day Date of Visit (1st)/Day DATE OF FIRST VISIT. DAY. 2494 506 Date of Visit (1st)/Month Date of Visit (1st)/Month Date of Visit (1st)/Month Date of Visit (1st)/Month Date of Visit (1st)/Month DATE OF FIRST VISIT. MONTH. 3000 Date of Visit (1st)/Year Date of Visit (1st)/Year Date of Visit (1st)/Year Date of Visit (1st)/Year Date of Visit (1st)/Year DATE OF FIRST VISIT. YEAR. 3000 DATE OF FINAL VISIT 757 2243 Date of Visit (2nd)/Day Date of Visit (2nd)/Day Date of Visit (2nd)/Day Date of Visit (2nd)/Day Date of Visit (2nd)/Day DATE OF FINAL VISIT. DAY. 754 2246 Date of Visit (2nd)/Month Date of Visit (2nd)/Month Date of Visit (2nd)/Month Date of Visit (2nd)/Month Date of Visit (2nd)/Month DATE OF FINAL VISIT. MONTH. 756 2244 Date of Visit (2nd)/Year Date of Visit (2nd)/Year Date of Visit (2nd)/Year Date of Visit (2nd)/Year Date of Visit (2nd)/Year DATE OF FINAL VISIT. YEAR. 757 2243 Result B5 Result B5 Result B5 Result B5 Result B5 RESULT OF INTERVIEW Record the response status for the questionnaire by book using the following codes:- Complete Response: i.e., the interview was successfully completed, enter 1. Partially completed: i.e. the interview was not wholly completed, enter 2. Refusal: i.e., the household refused to co-operate, enter 3. Household members not present (Non-contact): i.e., for some reason, no responsible adult member was available during the period of the survey. The Supervisor has to ensure that the interviewer visits these non-contact households at least three times during the course of the survey. Enter 4 if Household members not present. Other (specify): Any other response which can not fit in the above categories should be coded as '96' and write down the answer given. Enter the appropriate response status code in the box provided. The interviewer should report to the supervisor all response status entries other than 'completed' and the supervisor should investigate all such cases. Final entries of the response codes other than 'completed' should be done only after the supervisor has completed his/her follow ups. 2867 133 1 96 22.737 39.681 1 Completed 2 Partially completed 3 Refusal 4 HH members not present 5 9 95 96 Other (specify) Sysmiss Screener Screener Screener Screener Screener SCREENER These will be provided by supervisor following listing and random selection of the 7 fever screened households. You will have the list so these on the cover are just to help you and the supervision process. If any household member had fever/malaria 1 month prior to the day of listing recode code '1' if the response is yes and '2' if the response is no in the box provided. Also record the ID codes of the persons found with parasitemia (malaria) during the testing exercise. 2131 869 1 Yes 2 No 3 4 9 Sysmiss Person with Parasitemia (1st) Person with Parasitemia (1st) Person with Parasitemia (1st) Person with Parasitemia (1st) Person with Parasitemia (1st) ID NUMBER OF PERSON(S) WITH PARASITEMIA. ID 1. 277 2723 Person with Parasitemia (2nd) Person with Parasitemia (2nd) Person with Parasitemia (2nd) Person with Parasitemia (2nd) Person with Parasitemia (2nd) ID NUMBER OF PERSON(S) WITH PARASITEMIA. ID 2. 72 2928 Person with Parasitemia (3rd) Person with Parasitemia (3rd) Person with Parasitemia (3rd) Person with Parasitemia (3rd) Person with Parasitemia (3rd) ID NUMBER OF PERSON(S) WITH PARASITEMIA. ID 3. 1 2999 Tracker Tracker Tracker Tracker Tracker TRACKER These will as well be provided by supervisor following listing and random selection of the 8 Population Representative Households. These are those households which did not experience fever/malaria 1 month prior to the day of listing. Record the ID code of the persons found with low hemoglobin level (Anemia). 2108 892 1 Yes 2 No 5 Sysmiss Person with Anemia (1st) Person with Anemia (1st) Person with Anemia (1st) Person with Anemia (1st) Person with Anemia (1st) ID NUMBER OF PERSON(S) WITH ANEMIA. ID 1. 131 2869 Person with Anemia (2nd) Person with Anemia (2nd) Person with Anemia (2nd) Person with Anemia (2nd) Person with Anemia (2nd) ID NUMBER OF PERSON(S) WITH ANEMIA. ID 2. 34 2966 Person with Anemia (3rd) Person with Anemia (3rd) Person with Anemia (3rd) Person with Anemia (3rd) Person with Anemia (3rd) ID NUMBER OF PERSON(S) WITH ANEMIA. ID 3. 3000 SUPERVISOR. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part, he or she will also enter the date the questionnaire was checked. 2840 160 Supervisor Date/Day Supervisor Date/Day Supervisor Date/Day Supervisor Date/Day Supervisor Date/Day SUPERVISOR. DAY. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part, he or she will also enter the date the questionnaire was checked. 2836 164 Supervisor Date/Month Supervisor Date/Month Supervisor Date/Month Supervisor Date/Month Supervisor Date/Month SUPERVISOR. MONTH. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part, he or she will also enter the date the questionnaire was checked. 2838 162 Supervisor Date/Year Supervisor Date/Year Supervisor Date/Year Supervisor Date/Year Supervisor Date/Year SUPERVISOR. YEAR. Leave the spaces for `Supervisor' blank. The Supervisor will complete this part, he or she will also enter the date the questionnaire was checked. 2840 160 DATA ENTRY OPERATOR. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2901 99 DEO Date/Day DEO Date/Day DEO Date/Day DEO Date/Day DEO Date/Day DATA ENTRY OPERATOR. DAY. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2897 103 DEO Date/Month DEO Date/Month DEO Date/Month DEO Date/Month DEO Date/Month DATA ENTRY OPERATOR. MONTH. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2901 99 DEO Date/Year DEO Date/Year DEO Date/Year DEO Date/Year DEO Date/Year DATA ENTRY OPERATOR. YEAR. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2901 99 DATA ENTRY SUPERVISOR. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2811 189 DEO Supervisor Date/Day DEO Supervisor Date/Day DEO Supervisor Date/Day DEO Supervisor Date/Day DEO Supervisor Date/Day DATA ENTRY SUPERVISOR. DAY. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2809 191 DEO Supervisor Date/Month DEO Supervisor Date/Month DEO Supervisor Date/Month DEO Supervisor Date/Month DEO Supervisor Date/Month DATA ENTRY SUPERVISOR. MONTH. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2811 189 DEO Supervisor Date/Year DEO Supervisor Date/Year DEO Supervisor Date/Year DEO Supervisor Date/Year DEO Supervisor Date/Year DATA ENTRY SUPERVISOR. YEAR. This space should also be left blank for the Data Entry Operator and Data Entry Supervisor respectively. 2811 189 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 5947 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 5947 Person ID Person ID Person ID Person ID Person ID ID CODE All persons under 5 years and the 15-49 year old females living in this household. 5898 49 Person Name Person Name Person Name Person Name Person Name COPY THE NAMES AND SURNAMES OF ALL ELIGIBLE PERSONS (UNDER 5 YEARS AND THE 15-49 YEAR OLD FEMALES) LIVING IN THIS HOUSEHOLD FROM THE FLAP. Here you should list the names and surnames of all the people living in this household, beginning with the head of the household. Make sure that only members of the household are included in the interview. Use the definition from the manual for the household questionnaire. Record each name separately in the appropriate box. All persons under 5 years and the 15-49 year old females living in this household. 5845 Gender Gender Gender Gender Gender GENDER Record the gender of all the children under the age of 5 years and adult female household members aged 15 to 49 years from the flap. If you can tell the sex of a person you are talking about you should record the response without asking. If you are in doubt about the person's sex who may not be present at the time of the interview, ask for the sex of that person. Record code '1' if the response is male and '2' if the response is female. All persons under 5 years and the 15-49 year old females living in this household. 5805 142 1 Male 2 Female 3 4 Sysmiss Age (0 if < 1 year) Age (0 if < 1 year) Age (0 if < 1 year) Age (0 if < 1 year) Age (0 if < 1 year) COPY AGE FROM (1.12) (A1_12y - variable name in dataset). FOR INFANTS / BABIES UNDER 1 YEAR, RECORD "0". Ask the age of each household member. For infants or babies that are under the age of 1, record '0.' For example if a person is 8 years 11 months, you should record 8 only. Just record the number of years the person has completed, ignore the months. All persons under 5 years and the 15-49 year old females living in this household. 5802 145 58 6.266 11.266 Is Female 15-49 Is Female 15-49 Is Female 15-49 Is Female 15-49 Is Female 15-49 Circle ID of All Female Household Members 15-49 years old. Refer to the flap in the household questionnaire. All persons under 5 years and the 15-49 year old females living in this household. 3552 2395 1 Yes 2 No 3 4 5 8 9 Sysmiss Is woman with children 0-5 Is woman with children 0-5 Is woman with children 0-5 Is woman with children 0-5 Is woman with children 0-5 Circle ID of All Women with Children 0-5 years old. Circle only those mothers who are household members. All persons under 5 years and the 15-49 year old females living in this household. 2447 3500 1 Yes 2 No 3 4 5 6 7 Sysmiss Is child < 5 Is child < 5 Is child < 5 Is child < 5 Is child < 5 Circle ID of All Children under 5 years old. All persons under 5 years and the 15-49 year old females living in this household. 3347 2600 1 Yes 2 No 3 4 5 6 7 8 9 Sysmiss Consent Granted Consent Granted Consent Granted Consent Granted Consent Granted Read Consent Form to Mother/Adult Responsible for The Child. Have them sign below. CONTEXT: To match the extraordinary progress in malaria prevention in the past few years, the National Malaria Control Center (NMCC) has put more emphasis on case management and is committed to (i) improve access and guarantee availability of anti-malarial drugs, particularly of the first line drug, Artemisinin Combination Therapies (ACTs), and (ii) ensure that diagnostic tools are available and accessible even in remote areas. The Zambia Access to ACT Initiative has, upon request by the Government of the Republic of Zambia (GRZ), been designed to inform the GRZ on how to best increase access to life saving malaria treatment (such as ACTs) and to diagnosis that can best target this treatment. The GRZ is emphasizing the use of Rapid Diagnostic Test (RDTs) in malaria testing, a technology that is affordable and can be made more widely accessible than routine microscopy – an important consideration given the size of the rural population in Zambia. ZAAI SURVEY BIOMEDICAL TESTS OBJECTIVES, SAFETY & PRIVACY STANDARDS: To help the efforts of the NMCC in improving malaria prevention and case management, as part of the ZAAI survey, we are asking people to take two tests: anemia and malaria. These medical tests are simple and fast to do, completely safe, and painless. We are working with experts from the Tropical Disease Research Centre (TDRC), Zambia, and rely on the protocols developed by the World Health Organization (WHO) to comply with all technical, environmental, and safety procedures. The results will be kept confidential. TARGET GROUP: For the anemia and malaria test, we request children under the age of 5 (born after 2004) and all female household members age 15-49 to participate in the biomedical testing, giving a drop of blood obtained through a fingerpick – a simple, virtually painless, and safe testing method. TEST PROCEDURES: Malaria is caused by a parasite that infects blood cells. These parasites cause fever and other symptoms common to malaria. Malaria parasites produce chemicals (proteins) called antigens. • RDT Test: One way to test for malaria parasites is to do a rapid Diagnostic Test (RDT). RDT requires taking a drop of blood obtained through a fingerprick. If malaria antigens are present, the person will test positive. If malaria antigens are not present, the person will test negative. RDTs are completely safe to use for children and adults of all ages including children under 5 years old and recently born infants and cause virtually no pain or discomfort. The kit that will be used has never been used before and will be thrown away after each test. Results are typically given in 15 minutes and can be used to ensure that the sick person gets the most appropriate treatment for his/her illness and therefore has an increased chance of recovering quickly and is less likely to suffer negative long term consequences/effects. The new clinical guidelines, approaved by the Ministry of Health (MOH) and the National Malaria Control Centre (NMCC), encourage the use of RDTs. • HemoCue Test: Since malaria can be asymptomatic, another way to test for malaria is to look at anemia (low levels of blood). This is done by taking a sample of blood obtained through a fingerprick and examining the sample with a HemoCue machine. Such machines have been in use for the past 25 years. They are clean, completely safe, and endorsed by the MOH. BENEFITS: Testing for malaria and anemia is important so that people in these vulnerable target groups (under-five children and women of reproductive age) who have malaria or anemia can be treated in the best way possible way. Further, these tests will still be useful for those who do not test positive for malaria and/or do not have critical hemoglobin levels, but still have medical complaints. These people will be advised on where to seek consultantion and care in order to establish the true cause of their ill health. Those who will test positive for malaria are going to get Coartem, while those with low Hemoglobin levels will be given Folic Acid. RISKS: This is a mildly intrusive procedure that is not painful. You and your child will feel a pinch that will last a few seconds when we take the blood test. This will not cause any harm to your health. CONFIDENTIALITY: Any information that is obtained in connection with this study and that can be identified with you will remain confidential and will be disclosed only with your permission. Your responses can be linked to your personal information only through a number that will be kept secure by the survey administrator. The study will focus on the average answer within your community and not on individual answers. The honesty of your answers is very important. If you have any questions or clarification pertaining to this survey, please feel free to ask. You may also contact [The Principal Operational Research Officer], National Malaria Control Center, Ministry of Health, Lusaka. Tel: 0211 282455. Thank you very much for your time. Read Consent form to Mother/Adult Responsible for the Child, Have them sign. (See consent statement below) Make sure they clearly understand the procedure and have signed the consent form against the eligible persons. If they do not consent to the test, make sure they still sign in the NO space provided. All persons under 5 years and the 15-49 year old females living in this household. 3171 2776 1 Yes 2 No 4 Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 5947 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 5947 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 5947 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 5947 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 5947 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 5947 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 5314 633 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 5338 609 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 5941 6 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 3796 2151 1 30 6.177 2.55 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 4190 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 4190 Person ID Person ID Person ID Person ID Person ID ID CODE One child < 5 years old and One women aged 15 to 49 years old. 4159 31 Age (0 if <1 year) Age (0 if <1 year) Age (0 if <1 year) Age (0 if <1 year) Age (0 if <1 year) RECORD INDIVIDUAL'S AGE FROM SECTION 1 Do not ask the respondent for the age of the eligible persons, simply copy from section 1, “household roster”. One child < 5 years old and One women aged 15 to 49 years old. 4150 40 49 17.068 14.806 Measured Measured Measured Measured Measured READ ALOUD THE ANTHROPOMETRIC CONSENT FORM TO ALL WOMEN 15-49 YEARS OLD If answer is 2, 3, 4, 5, 6 or 96 > Go to next person. Read and explain the anthropometric consent to the respondent what it means. See the anthropometric consent statement. In addition to learning about you and your child's health and recent illnesses, we are also interested in how children living in this area are growing, and in the health of all females aged 15 to 49 years in the household. Both children and adults are commonly measured and weighed when they go to a clinic as a routine health exam. For this reason, we are going to measure and weigh you and your child. This is a simple procedure and will not cause any pain or risk to your health. You can see all the equipment (weighing scale and height boards) we will use in front of you. We will need your cooperation (mother or caregiver) when weighing and measuring your child. Would you allow us to take these measurements on you and/or your child? Only proceed if they allow you to do so. If allowed, indicate whether eligible person has been measured or not, and if not measured or absent, find out the reason. Follow skip instructions closely. One child < 5 years old and One women aged 15 to 49 years old. 4130 60 1 MEASURED 2 NOT PRESENT; SCHOOL 3 NOT PRESENT; WORK 4 NOT PRESENT; HEALTH VISIT 5 TOO ILL OR DISABLED 6 REFUSED 96 OTHER (SPECIFY) Sysmiss Height (centimeters, 1 decimal) Height (centimeters, 1 decimal) Height (centimeters, 1 decimal) Height (centimeters, 1 decimal) Height (centimeters, 1 decimal) RECORD HEIGHT IN CENTIMETERS Measure height of one person at a time and record results in centimeters. Exclude the handicapped, deformed and/or those not present or critically ill. All measurements should be recorded in pencil, and please, record the exact number and use the decimals accordingly (for example, 120.1 centimeters). Be sure you have a strong, flat surface for the measuring boards and adequate light for reading the measurements. Ensure that the participants are comfortable at all time. Each enumerator will be provided with a height board. One child < 5 years old and One women aged 15 to 49 years old. 3499 691 989.5 117.423 49.966 Measurement Method Measurement Method Measurement Method Measurement Method Measurement Method RECORD METHOD FOR MEASURING HEIGHT Two possible methods have been provided, record only the most appropriate. Is it Standing or Lying down? The Lying Down Method only applies to children under the age of 2, especially those who are unable to stand straight while the Standing up method is used on the older children and the eligible female household members. Record '01' for standing and '02' for lying down. Height measurement with height boards Height boards are designed to measure children under 2 years of age lying down (recumbent), older children and eligible female household members to be measured while standing up. The board should measure up to 120 cm (1.2 meters) for children and be readable to 0.1 of a centimeter. A measuring board is a lightweight, durable, and have few moving parts. Each medical assistant should, preferably, have their own board, otherwise it might take too long to do measurements and complete the survey. Procedure for height measurement-lying down (children under 24 months) · Place the measuring board on a hard flat surface, i.e. ground, floor, or steady table. · Lay the child on the board by supporting the back of the child's head with one hand and the rest of the body with the other hand. Gradually lower the child onto the board. · Have the assistant cup her hands over the child's ears. With her arms comfortably straight, place the child's head against the base of the board so that the child is facing up. The child's line of sight should be perpendicular to the ground. The assistant's head should be straight over the child's head, looking directly into the child's eye. · Make sure the child is lying flat and in the center of the board. Place your left hand on the child's legs on the knees. Press them firmly against the board. With your right hand, place the foot piece of the board firmly against the child's heels. · Check child's position. · When the child's position is correct, read loud the measurement to one decimal point (e.g. 30.1 cm). Remove the foot piece and release your left hand from the child's knees. · Record measurement as soon as child is released. Procedure for height measurement-standing (children 24 months or older, and female household members aged 15 to 49 years) · Place the measuring board on a hard strong flat surface, i.e. ground, floor, or stable table. Make sure the board is not moving. · Remove the child's shoes or any hair braids that can interfere with the measurement. In the case of an eligible female household member, ask her to take off her shoes and any other items that may interfere with the measurement. · Make the child/eligible female stand with feet flat and together in the center and against the back and base of the board. · Child/eligible female's head should look straight with shoulders level. · Record measurement immediately. Make sure to take your time, and record each measurement very carefully, so as not to confuse measurements. One child < 5 years old and One women aged 15 to 49 years old. 3183 1007 1 Standing 2 Lying Sysmiss Weight (kilograms, 1 decimal) Weight (kilograms, 1 decimal) Weight (kilograms, 1 decimal) Weight (kilograms, 1 decimal) Weight (kilograms, 1 decimal) RECORD WEIGHT IN KILOGRAMS Determine weight of every individual except for the handicapped, deformed, absentees and the critically ill. . Be sure to carefully decide where to put your weighing scale. Weigh one person at a time to avoid potential problems with mix-ups that might occur if you have several people to measure. Make sure that the participants are comfortable at all time. Each medical assistant will be provided with a weighing scale. Record the exact number to 1 decimal place (e.g. 120.1 kilograms) and should be in pencil. One child < 5 years old and One women aged 15 to 49 years old. 3472 718 97 35.115 22.078 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 4190 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 4190 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 4190 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 4190 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 4190 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 4190 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 3746 444 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 3761 429 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 4185 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2672 1518 1 30 5.749 2.402 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 4116 Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number Household Seq. Number HH ID 4116 Person ID Person ID Person ID Person ID Person ID ID CODE One child < 5 years old and One women aged 15 to 49 years old. 4094 22 Mother or Primary Caregiver ID (for child < 5) Mother or Primary Caregiver ID (for child < 5) Mother or Primary Caregiver ID (for child < 5) Mother or Primary Caregiver ID (for child < 5) Mother or Primary Caregiver ID (for child < 5) RECORD PID OF MEMBER, FOR CHILDREN <5 YEARS, RECORD PID OF MOTHER OR PRIMARY CAREGIVER. One child < 5 years old and One women aged 15 to 49 years old. 4045 71 Malaria test consent Malaria test consent Malaria test consent Malaria test consent Malaria test consent READ ALOUD THE MALARIA AND ANEMIA TEST CONSENT STATEMENT TO ALL ELIGIBLE FEMALE HOUSEHOLD MEMBERS (15-49 YRS. OLD) AND MOTHERS/CAREGIVERS OF CHILDREN <5 YEARS OLD. If answer is 1 > Go to 16.09 (f3_09 - variable name in dataset). If answer is 3 > Go to next person. Please refer to section 16.1 for “Consent Statement”. Record “01” for consenting and skip to Q16.09 and “02” for refusing. Record “03” if they are not present and go to NEXT PERSON. It is also important to ensure that the interviewer has administered the informed consent properly, so the person conducting the re-interview should also ask the respondent if he/she was fully informed by the interviewer about the nature of participation, the confidentiality of the information provided, and other key aspects of informed consent. One child < 5 years old and One women aged 15 to 49 years old. 4006 110 1 Consent 2 Refuse 3 Not Present Sysmiss Not Agreed/Reason Not Agreed/Reason Not Agreed/Reason Not Agreed/Reason Not Agreed/Reason Why did you not agree to have the tests done? Go to next person. Find out the reasons for refusing to be tested of malaria and anaemia. Possible options have been provided. Upon administering this question, go to NEXT PERSON. One child < 5 years old and One women aged 15 to 49 years old. 2 4114 1 RESULTS UNRELIABLE 2 CONCERN FOR BODILY HARM 3 RELIGIOUS BELIEFS 4 TRADITIONAL BELIEFS 5 TOO ILL OR DISABLED 96 OTHER, SPECIFY Sysmiss Hemoglobin Level (g/dl) Hemoglobin Level (g/dl) Hemoglobin Level (g/dl) Hemoglobin Level (g/dl) Hemoglobin Level (g/dl) RECORD HEMOGLOBIN LEVEL (g/dl) Record the Hemoglobin level for those who have agreed to be tested in Q16.07. Hemoglobin level is the amount of red blood cells in the blood. There are two spaces before the decimal point (e.g. 20.0) to record the level. You have to undertake the Anaemia test in order to obtain a Hemoglobin level. To undertake the test you will need the following supplies. Hemocue testing equipment (microcuvettes, photometer) disposal container, disinfectant e.g. methylated spirit, cloth or wipe, cavette tip and a new pair of disposable examination gloves. Procedure for Anaemia testing with Hemocue: The child should be sitting on the caregiver's lap, facing the Hemocue administrator (trained medical assistant). In the case of the eligible female household member, she should be sitting and facing the Hemocue administrator. 1.Make sure that the patient sits comfortably. The hand should be warm and relaxed. It is a good idea to heat cold hands in warm water before sampling. This increases the blood circulation. The patient's fingers should be straight but not loose, to avoid stasis. 2.Use only the middle finger or the ring finger for sampling. Avoid fingers with rings for sampling. Clean the puncture site with disinfectant and allow it to dry. 3.Using your thumb, lightly press the finger from the top of the knuckle to the tip. This stimulates the blood flow towards the sampling point. 4.The thumb has moved up to the tip of the finger. Use very gentle pressure. Prick at the side of the fingertip. Not only is the blood flow at its best at this point, it also causes the least pain. 5.Wipe away the first drops of blood. If necessary, apply light pressure again, until another drop of blood appears. Avoid 'milking.' 6.Make sure that the drop of blood is big enough to fill the cuvette completely. Introduce the cuvette tip into the middle of the drop. 7.Fill the cuvette in one continuous process. It should never be topped up after the first filling. 8.Wipe off the excess blood on the outside of the cuvette tip. Make sure that no blood is drawn out of the cuvette in this procedure. N.B.: If a second sample is to be taken from the same finger stick, it is important that this should be done immediately after the first sample has been taken. Wipe away the remains of the first drop of blood and take a second sample from a new drop of blood. 9.The filled cuvette should be visually inspected for air bubbles. Small air bubbles around the edge do not influence the results. 10.Place the filled cuvette into the cuvette holder immediately and push it into measuring position. The filled cuvette should be analyzed immediately and at the latest 10 minutes after it has been filled. Filled cuvettes are to be kept lying down. Filled cuvettes should be inspected for air bubbles, which if present, can produce erroneously low readings. Small air bubbles around the edge do not influence the results. 11.After 15 to 45 seconds the result is displayed. The filled cuvette should be disposed off after the measurement into a sharp box. When the measurement procedure has been completed, turn the photometer's power switch to “Power Off.” If this procedure for the medical test is conducted on person “A”, repeat for person “B”. Do this one after another, so as not to confuse the measurements for each individual. It makes sense to first do the anaemia test and then the RDT test on each individual (one after the other), and then repeat the procedure for every eligible individual. One child < 5 years old and One women aged 15 to 49 years old. 3239 877 0.1 21.5 10.667 2.812 Hem Level < CUT OFF point Hem Level < CUT OFF point Hem Level < CUT OFF point Hem Level < CUT OFF point Hem Level < CUT OFF point Is the level recorded below the cut-off point for age and altitude? If answer is 2 > Go to 16.12 (f3_12 - variable name in dataset). This question is to be answered by the interviewer; do not ask it to the respondent. There is a standard level of hemoglobin for a person in relation to age and altitude. The standard level or cut-off point is 7.0 g/dl for both the child and the adult. If no, go to Q16.12. One child < 5 years old and One women aged 15 to 49 years old. 3217 899 1 Yes 2 No Sysmiss Hemoglobin Referral Hemoglobin Referral Hemoglobin Referral Hemoglobin Referral Hemoglobin Referral We detected a low level of hemoglobin in the blood of ...... This indicates that ..... has developed severe anemia, which is a serious health problem. We recommend you inform a health care provider about this condition. This form will assist you in obtaining appropriate treatment for ...... Do you agree that the information about the level of hemoglobin in the blood of ..... be given to the health care provider? If answer is 1 > Referral. If a low level of hemoglobin is detected in the eligible person give folic acid, but in the event where the situation is critical the household members must be advised to take that person to the health facility because this will assist them in obtaining appropriate treatment. Find out If he/she would allow you to give the results of the test to the health care provider. If allowed provide a referral letter for the sick person to be taken to the health care facility immediately. One child < 5 years old and One women aged 15 to 49 years old. 117 3999 1 Yes 2 No Sysmiss RDT result RDT result RDT result RDT result RDT result RDT TEST RESULT. If test results are invalid, Re-DO the test. Conduct RDT TEST. RDT test results can be either Positive (GE+) meaning that the person has malaria parasites present in the blood or negative (GE-) meaning that the malaria parasites are absent. If GE-, record “2” and go to NEXT PERSON. Testing for malaria is important not only so that those people that have malaria may be treated in the best way possible, but also so that further examinations may be carried out when a person does not test positive for malaria. In this way, RDTs can help to ensure appropriate treatment no matter what a sick person is suffering from. RDTs play an important role in diagnosing illnesses and can therefore be an important step in saving a person's life. Procedure for testing Malaria using the Rapid Diagnostic Testing (RDT) method As with the anemia test, the child should be sitting on the caregiver's lap, facing the RDT administrator (trained medical assistant). In the case of the eligible female household member, she should be sitting and facing the RDT administrator (trained medical assistant). To undertake the RDT test you will need the following supplies. New, unopened test packet (read expiry date); a cotton wool and sterilizing alcohol or methylated spirit); a new sterile lancet; a pair of disposable examination gloves; buffer; a timer (watch); a sharps disposal container and a non-sharps disposal bin. Before testing for malaria, ask the household member if she (or child) has taken anti-malaria medication. If you are using an HRP2-detecting RDT: If the patient has taken a complete course of anti-malaria medication in the last 14 days, a positive RDT result may be misleading. It may be necessary to refer the patient to a health care center with a lab for further testing. 1.Put on a new pair of examination gloves. 2.Open the RDT box and get the test packet remove the contents-the teat cassette and the desiccant (the desiccant sachet that projects the test from humidity should be discarded),from the box, remove a blood transfer device- a pipette, an alcohol swab for cleaning the finger and a lancet for pricking 3.Write the patient's name on the cassette to avoid any confusion. 4.Open the alcohol swab and clean the patient's fourth or the third finger. If the patient is right-handed, use the patients' finger on the left hand. This will cause the least inconvenience to the patient if the pricked finger becomes sore. After cleaning the finger, it must be allowed to air dry. You should NOT blow on it or wipe it with a cloth or paper. Once the finger is dry, open the lancet and prick the patient's finger towards the side of the pulp (ball) of the finger. Check to be sure the finger-prick will produce enough blood, then discard the lancet in the sharps container immediately. Never set the lancet down before discarding it. Never use a lancet on more than one person. 5.Collect the blood until the first mark. 6.Use the blood collection device pipette to add the drop of blood to the sample well (second well/small well). The blood needs to reach and be absorbed by the pad at the base of the hole 7.Discard the blood collection device after use into the sharp box immediately. 8.Add buffer to the cassette (round hole typically with the letter B). Make sure to count the correct number of drops. To do this, make sure to hold the bottle vertically. 9.Wait for 15 minutes after adding buffer before reading the test results. Write the time the results are going to be read on the test cassette. 10.Remove and discard your gloves. 11.Once the time has passed, first read the results yourself and do not tell the patients immediately. Reading the results: 12.The RDT cassette has two lines, the C- Control line and the line T-test line a.A line in “T” and a line in “C” visible means the patient DOES have falciparum malaria. The test is positive even if the “T1” is very faint. b.NO line in “T” but a line in “C” means the patient DOES NOT have either falciparum malaria.. c.No line in “T” and NO LINE in “C” means the test is damaged. Results are INVALID. d.Line in “T” and NO LINE in “C” means the test is damaged. Results are INVALID. 13.Record the results and keep the used cassettes. One child < 5 years old and One women aged 15 to 49 years old. 3372 744 1 GE+ 2 GE- 3 Not Valid Sysmiss Fever Fever Fever Fever Fever INTERVIEWER: DOES ….. HAVE A FEVER? If answer is 2 > Go to next person. If no, record “02” and go to next question. One child < 5 years old and One women aged 15 to 49 years old. 3359 757 1 Yes 2 No Sysmiss Malaria Referral Malaria Referral Malaria Referral Malaria Referral Malaria Referral We detected malaria parasites in the blood of ...., as well as a fever. This is a serious health problem. We recommend you inform a health care provider about this condition. This will assist you in obtaining appropriate treatment for ...... Do you agree that the information about the presence of malaria parasites in the blood and a fever for ...... be given to the health care provider? If answer is 2 > Referral. If malaria parasites are detected in the blood of the eligible person give Coartem, but in the case where the situation is complicated the household members must be advised to take the person to the health institution because it will help them in obtaining appropriate treatment. Find out if he/she would allow you to give the results of the test to the health care provider. If allowed provide a referral letter for the sick person to be taken to the health care provider immediately. One child < 5 years old and One women aged 15 to 49 years old. 352 3764 1 Yes 2 No 3 Sysmiss Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 4116 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 4116 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 4116 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 4116 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 4116 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 4116 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 3694 422 1 AARON BOWA 2 AUGUSTINE NKHOMA 3 BERLINAH ZIBA 4 BERTHA WAMUWI 5 BISA PHIRI 6 BONIFACE TAULO 7 CHENELA NKHOWANI 8 CHRISTINE MWALE 9 CINDY CHAMA 10 DANNY CHIRWA 11 DAVIES CHILUBA 12 DAVIES SIKASOTE 13 DOREEN MITI 14 DYFORD MUPETA 15 EMMA MULENGA 16 EMMANUEL ZULU 17 FESTUS TEMBO 18 GIFT LUGHALI 19 GIFT LWENJE 20 GLORIA MUSABA 21 GRACE MWIMANZI 22 GRANT CHAPOTA 23 GREGORY BWALYA 24 HELLEN SIKEMBE 25 JEANINE MBAYA 26 KAPOMA CHANDA 27 LAMECK PHIRI 28 LEWIS MAMBWE 29 LIFUMBO KAYOKA 30 LILENGO LIWANGA 31 MABVUTO ZULU 32 MAINA CHIMAI 33 MALENI GOMA 34 MAUREEN ZULU 35 MAYAH NYUMBU 36 MERCY KALUWAYI 37 MICHAEL LWENJE 38 MIRABEL NDENI 39 MULONDA SOOKA 40 ORICK MUCHENJE 41 PETER KANYANTA 42 PHALESI MBAO 43 REVAN MWINGA 44 RICHARD KASONDE 45 ROBERT SAKALA 46 ROY CHIYESU 47 RUTH M. KAONGA 48 SAMUEL ZULU 49 SHADRECK TEMBO 50 SIMON KAELA 51 STANLEY M. SANTULA 52 STEVEN MUTEMWA 53 SUWILANJI NACHEMBE 54 TERINA LUNGU 55 THELMA NAMONJE 56 THEMBA ZIBA 57 VALERIE NDLOVU 58 VERONICA MITI 59 VICTOR MUPOTA 60 VIVIAN LWENJE 61 WANKUMBU SILANDA 62 WIZA NG'UNI 63 WIZLOS ZULU 64 YOTHAM GOMA Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 3711 405 Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR NAME/ID 4111 5 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Shine Lubobya 5 Anne Chikoti 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Household Members QTY Household Members QTY Household Members QTY Household Members QTY Household Members QTY Number of people included in Section 1: Roster 2641 1475 1 30 5.752 2.407 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 191 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 191 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 191 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 191 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 191 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 191 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 191 Household Long Number Household Long Number Household Long Number Household Long Number Household Long Number 11 180 Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban Rural/Periurban URBAN/RURAL 191 1 Rural 2 Peri Urban Locality Name Locality Name Locality Name Locality Name Locality Name LOCALITY NAME 189 Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code Chief Area/Code CHIEF/CHIEFTAINESS' AREA 168 23 Household Head Name Household Head Name Household Head Name Household Head Name Household Head Name NAME OF HEAD OF HOUSEHOLD GPS/Longitude (5 decimals) GPS/Longitude (5 decimals) GPS/Longitude (5 decimals) GPS/Longitude (5 decimals) GPS/Longitude (5 decimals) GPS COORDINATES OF HOUSEHOLD. LONGITUDE. 185 6 20.654 88.589 34.778 13.233 GPS/Latitude (5 decimals) GPS/Latitude (5 decimals) GPS/Latitude (5 decimals) GPS/Latitude (5 decimals) GPS/Latitude (5 decimals) GPS COORDINATES OF HOUSEHOLD. LATITUDE. 185 6 9.902 88.298 17.507 14.005 GPS/Altitude (meters) GPS/Altitude (meters) GPS/Altitude (meters) GPS/Altitude (meters) GPS/Altitude (meters) GPS COORDINATES OF HOUSEHOLD. ALTITUDE (METERS). 141 50 379 2093 1013.213 253.935 Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code Interviewer name (First visit) code INTERVIEWER NAME/CODE 183 8 1 CHRISTOPHER MWENDA 2 CLAUDIUS HAKAPYA 3 DAVIES SHUMBA 4 FINNY CHABOOKA 5 FRANCIS ZULU 6 FRANK CHIPOKOSA 7 GODFREY BWEMBYA 8 JOSEPH LUNGU 9 MARTIN MUSHIBA 10 NATHAN TEMBO 11 NKATYA CHIKASHA 12 ROBERT MWANZA 13 RODGERS MUSONDA 14 SAMUEL KAPANDULA 15 SUSAN GOMA 16 TRESFORD LUSANGANI 1stVisit/Date 1stVisit/Date 1stVisit/Date 1stVisit/Date 1stVisit/Date DATE OF FIRST INTERVIEW 189 2 1stVisit/Day 1stVisit/Day 1stVisit/Day 1stVisit/Day 1stVisit/Day DATE OF FIRST INTERVIEW. DAY. 189 2 1stVisit/Month 1stVisit/Month 1stVisit/Month 1stVisit/Month 1stVisit/Month DATE OF FIRST INTERVIEW. MONTH. 189 2 1 Jan 2 Feb 3 Mar 4 Apr 5 May 6 Jun 7 Jul 8 Aug 9 Sep 10 Oct 11 Nov 12 Dec 1stVisit/Year 1stVisit/Year 1stVisit/Year 1stVisit/Year 1stVisit/Year DATE OF FIRST INTERVIEW. YEAR. 189 2 2009 Year Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code Interviewer name (Second visit) code INTERVIEWER NAME/CODE 75 116 1 CHRISTOPHER MWENDA 2 CLAUDIUS HAKAPYA 3 DAVIES SHUMBA 4 FINNY CHABOOKA 5 FRANCIS ZULU 6 FRANK CHIPOKOSA 7 GODFREY BWEMBYA 8 JOSEPH LUNGU 9 MARTIN MUSHIBA 10 NATHAN TEMBO 11 NKATYA CHIKASHA 12 ROBERT MWANZA 13 RODGERS MUSONDA 14 SAMUEL KAPANDULA 15 SUSAN GOMA 16 TRESFORD LUSANGANI FinalVisit/Date FinalVisit/Date FinalVisit/Date FinalVisit/Date FinalVisit/Date DATE OF SECOND INTERVIEW 76 115 FinalVisit/Day FinalVisit/Day FinalVisit/Day FinalVisit/Day FinalVisit/Day DATE OF SECOND INTERVIEW. DAY. 76 115 FinalVisit/Month FinalVisit/Month FinalVisit/Month FinalVisit/Month FinalVisit/Month DATE OF SECOND INTERVIEW. MONTH. 76 115 1 Jan 2 Feb 3 Mar 4 Apr 5 May 6 Jun 7 Jul 8 Aug 9 Sep 10 Oct 11 Nov 12 Dec FinalVisit/Year FinalVisit/Year FinalVisit/Year FinalVisit/Year FinalVisit/Year DATE OF SECOND INTERVIEW. YEAR. 76 115 2009 Year FinalVisit/Result/ FinalVisit/Result/ FinalVisit/Result/ FinalVisit/Result/ FinalVisit/Result/ RESULT OF INTERVIEW 188 3 1 Completed 2 Partially Completed 3 Refusal 4 HH Members not Present 96 Other Sysmiss Other Other Other Other Other Language/Interview Language/Interview Language/Interview Language/Interview Language/Interview LANGUAGE OF THE INTERVIEW 190 1 1 English 2 Bemba 3 Kaonde 4 Lozi 5 Lunda 6 Luvale 7 Nyanja 8 Tonga 96 Other Sysmiss Other Other Other Other Other 16 Language/Respondent Language/Respondent Language/Respondent Language/Respondent Language/Respondent RESPONDENTS' LOCAL LANGUAGE 190 1 1 English 2 Bemba 3 Kaonde 4 Lozi 5 Lunda 6 Luvale 7 Nyanja 8 Tonga 96 Other Sysmiss Other Other Other Other Other 103 Language/Translator Language/Translator Language/Translator Language/Translator Language/Translator TRANSLATOR USED 185 6 1 Never 2 Sometimes 3 Always 11 Sysmiss Other Other Other Other Other At least one person with fever/malaria in the past 1 month At least one person with fever/malaria in the past 1 month At least one person with fever/malaria in the past 1 month At least one person with fever/malaria in the past 1 month At least one person with fever/malaria in the past 1 month 191 1 Yes 2 No Sysmiss Other Other Other Other Other Tracker/ Population representative random Household Tracker/ Population representative random Household Tracker/ Population representative random Household Tracker/ Population representative random Household Tracker/ Population representative random Household 191 1 Yes 2 No Sysmiss Other Other Other Other Other Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code Supervisor/Code SUPERVISOR NAME/ID 189 2 1 CHRISTOPHER MWENDA 2 CLAUDIUS HAKAPYA 3 DAVIES SHUMBA 4 FINNY CHABOOKA 5 FRANCIS ZULU 6 FRANK CHIPOKOSA 7 GODFREY BWEMBYA 8 JOSEPH LUNGU 9 MARTIN MUSHIBA 10 NATHAN TEMBO 11 NKATYA CHIKASHA 12 ROBERT MWANZA 13 RODGERS MUSONDA 14 SAMUEL KAPANDULA 15 SUSAN GOMA 16 TRESFORD LUSANGANI Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code Data Entry Operator/Code DATA ENTRY OPERATOR ID 191 1 Musole Minina 2 Constance Ng’wane 3 Doreen Miti 4 Natasha Mwaba 5 Nakoza Liso 6 Saphila Goma 7 Abigail Nswima 8 Chinyanta Tembo Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code Data Entry Supervisor/Code DATA ENTRY SUPERVISOR ID 191 1 Liseteli Ndiyoi Supervisor/Date Supervisor/Date Supervisor/Date Supervisor/Date Supervisor/Date SUPERVISOR. 191 Supervisor/Day Supervisor/Day Supervisor/Day Supervisor/Day Supervisor/Day SUPERVISOR. DAY. 189 2 Supervisor/Month Supervisor/Month Supervisor/Month Supervisor/Month Supervisor/Month SUPERVISOR. MONTH. 189 2 1 Jan 2 Feb 3 Mar 4 Apr 5 May 6 Jun 7 Jul 8 Aug 9 Sep 10 Oct 11 Nov 12 Dec Supervisor/Year Supervisor/Year Supervisor/Year Supervisor/Year Supervisor/Year SUPERVISOR. YEAR. 189 2 2009 ***Undefined Label Data Entry Operator/ Date Data Entry Operator/ Date Data Entry Operator/ Date Data Entry Operator/ Date Data Entry Operator/ Date DATA ENTRY OPERATOR. 191 Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day Data Entry Operator/ Day DATA ENTRY OPERATOR. DAY. 191 Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month Data Entry Operator/ Month DATA ENTRY OPERATOR. MONTH. 191 1 Jan 2 Feb 3 Mar 4 Apr 5 May 6 Jun 7 Jul 8 Aug 9 Sep 10 Oct 11 Nov 12 Dec Data Entry Operator/ year Data Entry Operator/ year Data Entry Operator/ year Data Entry Operator/ year Data Entry Operator/ year DATA ENTRY OPERATOR. YEAR. 191 2009 ***Undefined Label Data Entry Supervisor / Date Data Entry Supervisor / Date Data Entry Supervisor / Date Data Entry Supervisor / Date Data Entry Supervisor / Date DATA ENTRY SUPERVISOR. 191 Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day Data Entry Supervisor / Day DATA ENTRY SUPERVISOR. DAY. 191 Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month Data Entry Supervisor / Month DATA ENTRY SUPERVISOR. MONTH. 191 1 Jan 2 Feb 3 Mar 4 Apr 5 May 6 Jun 7 Jul 8 Aug 9 Sep 10 Oct 11 Nov 12 Dec Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year Data Entry Supervisor / Year DATA ENTRY SUPERVISOR. YEAR. 191 2009 ***Undefined Label DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPI DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPI DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPI DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPI DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPI DO THE CHILDREN (UNDER 12 YEARS OLD) IN THIS COMMUNITY TYPICALLY WEAR SHOES (FOOT WEAR)? 191 1 YES 2 NO DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICAL DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICAL DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICAL DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICAL DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICAL DO THE ADULTS (12 YEARS AND OLDER) IN THIS COMMUNITY TYPICALLY WEAR SHOES (FOOT WEAR)? 191 1 YES 2 NO DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEI DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEI DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEI DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEI DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEI DO THE HOUSES IN THIS COMMUNITY TYPICALLY HAVE GLASS IN THEIR WINDOWS? 191 1 YES 2 NO ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? ARE THE HOUSE SURROUNDINGS IN THIS COMMUNITY SWEPT CLEAN? 190 1 1 YES 2 NO Sysmiss MATERIAL MOST COMMONLY USED FOR OUTSIDE WALLS MATERIAL MOST COMMONLY USED FOR OUTSIDE WALLS MATERIAL MOST COMMONLY USED FOR OUTSIDE WALLS MATERIAL MOST COMMONLY USED FOR OUTSIDE WALLS MATERIAL MOST COMMONLY USED FOR OUTSIDE WALLS WHAT MATERIAL IS MOST COMMONLY USED FOR THE OUTSIDE WALLS OF THE HOUSES IN THIS COMMUNITY? 191 1 BRICKS / BLOCKS 2 ASBESTOS 3 IRON SHEETS 4 PLASTIC 5 POLES 6 TILES 7 GRASS / STRAW 8 WOOD 9 MUD 10 CONCRETE ONLY 11 COVERED CONCRETE 12 CARDBOARD 96 OTHER (SPECIFY) Other Other Other Other Other 9 182 1 COMPRESSED MUD 2 COMPRESSED SOIL 3 MUD BRICKS 4 PLOE AND DAGA 5 POLE AND DAGA 6 POLE AND DAGGA Sysmiss MATERIAL MOST COMMONLY USED FOR THE ROOFS MATERIAL MOST COMMONLY USED FOR THE ROOFS MATERIAL MOST COMMONLY USED FOR THE ROOFS MATERIAL MOST COMMONLY USED FOR THE ROOFS MATERIAL MOST COMMONLY USED FOR THE ROOFS FOR THE ROOFS? 191 1 BRICKS / BLOCKS 2 ASBESTOS 3 IRON SHEETS 4 PLASTIC 5 POLES 6 TILES 7 GRASS / STRAW 8 WOOD 9 MUD 10 CONCRETE ONLY 11 COVERED CONCRETE 12 CARDBOARD 96 OTHER (SPECIFY) Other Other Other Other Other 191 Sysmiss MATERIAL MOST COMMONLY USED FOR THE FLOORS MATERIAL MOST COMMONLY USED FOR THE FLOORS MATERIAL MOST COMMONLY USED FOR THE FLOORS MATERIAL MOST COMMONLY USED FOR THE FLOORS MATERIAL MOST COMMONLY USED FOR THE FLOORS FOR THE FLOORS? 191 1 BRICKS / BLOCKS 2 ASBESTOS 3 IRON SHEETS 4 PLASTIC 5 POLES 6 TILES 7 GRASS / STRAW 8 WOOD 9 MUD 10 CONCRETE ONLY 11 COVERED CONCRETE 12 CARDBOARD 96 OTHER (SPECIFY) Other Other Other Other Other 191 Sysmiss ARE THERE PILES OF EXPLOSED GARBAGE VISIBLE ALONG THE ROADS? ARE THERE PILES OF EXPLOSED GARBAGE VISIBLE ALONG THE ROADS? ARE THERE PILES OF EXPLOSED GARBAGE VISIBLE ALONG THE ROADS? ARE THERE PILES OF EXPLOSED GARBAGE VISIBLE ALONG THE ROADS? ARE THERE PILES OF EXPLOSED GARBAGE VISIBLE ALONG THE ROADS? ARE THERE PILES OF EXPOSED GARBAGE VISIBLE ALONG THE ROADS/STREETS/PATHS? 191 1 YES 2 NO IS ANIMAL MANURE VISIBLE IN THE COMMUNITY? IS ANIMAL MANURE VISIBLE IN THE COMMUNITY? IS ANIMAL MANURE VISIBLE IN THE COMMUNITY? IS ANIMAL MANURE VISIBLE IN THE COMMUNITY? IS ANIMAL MANURE VISIBLE IN THE COMMUNITY? IS ANIMAL DROPPINGS VISIBLE IN THE COMMUNITY? 191 1 YES 2 NO ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILL ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILL ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILL ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILL ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILL ARE THERE OBSTRUCTED SEWERS, GUTTERS, OR CANALS IN THIS VILLAGE? 191 1 YES 2 NO ARE THERE STANDING POOLS OF WATER IN THIS COMMUNITY? ARE THERE STANDING POOLS OF WATER IN THIS COMMUNITY? ARE THERE STANDING POOLS OF WATER IN THIS COMMUNITY? ARE THERE STANDING POOLS OF WATER IN THIS COMMUNITY? ARE THERE STANDING POOLS OF WATER IN THIS COMMUNITY? ARE THERE STANDING STAGNANT POOLS OF WATER (DO NOT INCLUDE MARSHES, LAKES, OR PONDS) IN THIS COMMUNITY? 191 1 YES 2 NO ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOU ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOU ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOU ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOU ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOU ARE THERE ANY LARGE LIVESTOCK VISIBLE ROAMING AROUND THE HOUSES? 191 1 YES 2 NO 3 MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? WHAT IS THE MOST COMMON TYPE OF ROAD SURFACE IN THIS COMMUNITY? 191 1 TAR / TARMAC (PAVED) 2 GRAVEL 3 DUST 96 OTHER (SPECIFY) Other Other Other Other Other 191 Sysmiss TOPOGRAPHY OF THIS COMMUNITY TOPOGRAPHY OF THIS COMMUNITY TOPOGRAPHY OF THIS COMMUNITY TOPOGRAPHY OF THIS COMMUNITY TOPOGRAPHY OF THIS COMMUNITY WHAT IS THE TOPOGRAPHY OF THIS COMMUNITY? 190 1 1 INLAND PLAINS 2 HILLS 3 MOUNTAINS 4 DESERT 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 42 149 1 FLAT 2 FLAT LAND 3 FLAT LAND PLATE 4 FLAT PLATEU 5 PLATEAU 6 PLATEU 7 VALLEY Sysmiss Number of respondents in the household Number of respondents in the household Number of respondents in the household Number of respondents in the household Number of respondents in the household 190 1 2 17 7.3 2.536 Number of households in the community Number of households in the community Number of households in the community Number of households in the community Number of households in the community How many households are there in this community? RECORD NUMBER OF HOUSEHOLDS 191 22 1000 181.183 161.937 Number of people in the community Number of people in the community Number of people in the community Number of people in the community Number of people in the community How many people live in this community? RECORD NUMBER OF PEOPLE 191 150 8002 997.471 1043.651 most common religions practised by residents (1) most common religions practised by residents (1) most common religions practised by residents (1) most common religions practised by residents (1) most common religions practised by residents (1) What are the most common religions practised by residents of this community? 1st. RECORD UP TO THREE 191 1 CATHOLIC 2 PROTESTANT 3 MUSLIM/ISLAM 5 TRADITIONAL 6 OTHER CHRISTIAN 96 OTHER (SPECIFY) Other Other Other Other Other 5 186 1 CHIPANGANO 2 CHIPANGO 3 CHIPANGWE Sysmiss most common religions practised by residents (2) most common religions practised by residents (2) most common religions practised by residents (2) most common religions practised by residents (2) most common religions practised by residents (2) What are the most common religions practised by residents of this community? 2nd. RECORD UP TO THREE 191 1 CATHOLIC 2 PROTESTANT 3 MUSLIM/ISLAM 5 TRADITIONAL 6 OTHER CHRISTIAN 96 OTHER (SPECIFY) Other Other Other Other Other 3 188 1 AFRICA CENTRAL CHURC 2 CHIPANGANO 3 JEHOVAS WITNESSES Sysmiss most common religions practised by residents (3) most common religions practised by residents (3) most common religions practised by residents (3) most common religions practised by residents (3) most common religions practised by residents (3) What are the most common religions practised by residents of this community? 3rd. RECORD UP TO THREE 131 60 1 CATHOLIC 2 PROTESTANT 3 MUSLIM/ISLAM 5 TRADITIONAL 6 OTHER CHRISTIAN 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 7 184 1 CHIPANGANO 2 NEW JERUSALEM 3 SDA 4 SEVENTH DAY ADVENTIS 5 ZION Sysmiss Number of households that practice these religions (1) Number of households that practice these religions (1) Number of households that practice these religions (1) Number of households that practice these religions (1) Number of households that practice these religions (1) What is the number of households that practice these religions? 1st. RECORD NUMBER OF HOUSEHOLDS 187 4 14 440 103.513 78.775 Number of households that practice these religions (2) Number of households that practice these religions (2) Number of households that practice these religions (2) Number of households that practice these religions (2) Number of households that practice these religions (2) What is the number of households that practice these religions? 2nd. RECORD NUMBER OF HOUSEHOLDS 187 4 3 500 51.251 63.784 Number of households that practice these religions (3) Number of households that practice these religions (3) Number of households that practice these religions (3) Number of households that practice these religions (3) Number of households that practice these religions (3) What is the number of households that practice these religions? 3rd. RECORD NUMBER OF HOUSEHOLDS 131 60 180 22.008 23.893 Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes What are the most common languages spoken in their homes by residents of this community? 1st. RECORD UP TO THREE 191 1 ENGLISH 2 BEMBA 3 KAONDE 4 LOZI 5 LUNDA 6 LUVALE 7 NYANJA 8 TONGA 96 OTHER (SPECIFY) Other Other Other Other Other 108 83 1 BISA 2 CHEWA 3 NSENGA 4 SENGA 5 TUMBUKA Sysmiss Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes What are the most common languages spoken in their homes by residents of this community? 2nd. RECORD UP TO THREE 111 80 1 ENGLISH 2 BEMBA 3 KAONDE 4 LOZI 5 LUNDA 6 LUVALE 7 NYANJA 8 TONGA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 50 141 1 BISA 2 CHEWA 3 MAMBWA 4 MIXED 5 NAMWANGA 6 NGONI 7 NSENGA 8 SENGA 9 TUMBUKA Sysmiss Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes Most common languages spoken in homes What are the most common languages spoken in their homes by residents of this community? 3rd. RECORD UP TO THREE 51 140 1 ENGLISH 2 BEMBA 3 KAONDE 4 LOZI 5 LUNDA 6 LUVALE 7 NYANJA 8 TONGA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 17 174 1 BEMBA 2 BISA 3 CHEWA 4 LOZI 5 NAMWANGA 6 NGONI 7 NSENGA 8 TUMBUKA Sysmiss Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages What is the number of households that speak each of these languages in this community? 1st. RECORD NUMBER OF HOUSEHOLDS 190 1 20 787 155.358 130.684 Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages What is the number of households that speak each of these languages in this community? 2nd. RECORD NUMBER OF HOUSEHOLDS 113 78 300 33.097 48.548 Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages Number of households that speak each of these languages What is the number of households that speak each of these languages in this community? 3rd. RECORD NUMBER OF HOUSEHOLDS 51 140 50 9.255 10.221 Main ethnic group Main ethnic group Main ethnic group Main ethnic group Main ethnic group What is the main ethnic group in this community? 1st. RECORD UP TO THREE 190 1 1 BEMBA 2 KAONDE 3 LOZI 4 LUNDA 5 LUVALE 6 NYANJA 7 TONGA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 111 80 1 1 2 BISA 3 CHEWA 4 NGONI 5 NSENGA 6 SENGA 7 TUMBUKA Sysmiss Main ethnic group Main ethnic group Main ethnic group Main ethnic group Main ethnic group What is the main ethnic group in this community? 2nd. RECORD UP TO THREE 107 84 1 BEMBA 2 KAONDE 3 LOZI 4 LUNDA 5 LUVALE 6 NYANJA 7 TONGA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 54 137 1 BISA 2 CHEWA 3 MAMBWA 4 MIXED 5 NAMWANGA 6 NGONI 7 SENGA 8 TUMBUKA Sysmiss Main ethnic group Main ethnic group Main ethnic group Main ethnic group Main ethnic group What is the main ethnic group in this community? 3rd. RECORD UP TO THREE 44 147 1 BEMBA 2 KAONDE 3 LOZI 4 LUNDA 5 LUVALE 6 NYANJA 7 TONGA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 17 174 1 BEMBA 2 BISA 3 CHEWA 4 LOZI 5 NAMWANGA 6 NGONI 7 NSENGA 8 TUMBUKA Sysmiss Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group What is the number of households in the community that belongs to each of these ethnic groups? 1st. RECORD NUMBER OF HOUSEHOLDS 191 1 787 157.225 132.114 Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group What is the number of households in the community that belongs to each of these ethnic groups? 2nd. RECORD NUMBER OF HOUSEHOLDS 109 82 300 31.367 47.095 Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group Number of households that belong to each of the ethnic group What is the number of households in the community that belongs to each of these ethnic groups? 3rd. RECORD NUMBER OF HOUSEHOLDS 45 146 50 9.244 10.764 The most common type of road surface in this community The most common type of road surface in this community The most common type of road surface in this community The most common type of road surface in this community The most common type of road surface in this community What is the most common type of road surface in this community? If answer is 1 > Go to 4.03 (c4_03 - variable name in dataset). 191 1 TAR / TARMAC (PAVED) 2 GRAVEL 3 DUST 6 OTHER (SPECIFY) Other Other Other Other Other 191 Sysmiss Distance to the nearest paved road Distance to the nearest paved road Distance to the nearest paved road Distance to the nearest paved road Distance to the nearest paved road How far is it to the nearest paved (tar / tarmac) road? RECORD DISTANCE IN KM. If answer is less than 1, record 0. 184 7 270 30.88 45.45 Do vehicle pass on the main road throughout th year? Do vehicle pass on the main road throughout th year? Do vehicle pass on the main road throughout th year? Do vehicle pass on the main road throughout th year? Do vehicle pass on the main road throughout th year? Do vehicles pass on the main road in this commmunity throughout the year? 190 1 1 YES 2 NO Sysmiss Number of months the main road is passable by car Number of months the main road is passable by car Number of months the main road is passable by car Number of months the main road is passable by car Number of months the main road is passable by car During the past 12 months, how many months was the main road passable by car? RECORD NUMBER OF MONTHS 191 66 9.571 5.235 Number of months main road is passable by heavy vehicles (4W Number of months main road is passable by heavy vehicles (4W Number of months main road is passable by heavy vehicles (4W Number of months main road is passable by heavy vehicles (4W Number of months main road is passable by heavy vehicles (4W During the past 12 months, how many months was the main road passable by heavy vehicles (4WD, lorry, etc)? RECORD NUMBER OF MONTHS 191 12 9.152 3.292 Do light trucks and public transport stop in this community? Do light trucks and public transport stop in this community? Do light trucks and public transport stop in this community? Do light trucks and public transport stop in this community? Do light trucks and public transport stop in this community? Do light trucks and public transport (buses, minibuses or taxis) stop in this community? 191 1 YES 2 NO 7 Do you have a body of water in this community? Do you have a body of water in this community? Do you have a body of water in this community? Do you have a body of water in this community? Do you have a body of water in this community? Do you have a body of water in this community? If answer is 2 > Go to 4.10 (c4_10 - variable name in dataset). 190 1 1 YES 2 NO Sysmiss Are boats an important means of transportation? Are boats an important means of transportation? Are boats an important means of transportation? Are boats an important means of transportation? Are boats an important means of transportation? Are boats an important means of transportation in this community? If answer is 2 > Go to 4.10 (c4_10 - variable name in dataset). 148 43 1 YES 2 NO 3 Sysmiss Number of months motorbots would travel on the main waterway Number of months motorbots would travel on the main waterway Number of months motorbots would travel on the main waterway Number of months motorbots would travel on the main waterway Number of months motorbots would travel on the main waterway For how many months last year could motorboats travel on the main waterway? RECORD NUMBER OF MONTHS 41 150 13 7.024 5.057 Nearest urban centre Nearest urban centre Nearest urban centre Nearest urban centre Nearest urban centre Which is the nearest urban center? 181 10 1 96 10.497 19.817 Other Other Other Other Other 10 181 1 1 2 5 3 CHINSALI 4 ISOKA 5 KAWAMBWA 6 MANSA 7 MPIKA Sysmiss Distance to the nearest urban centre (km) Distance to the nearest urban centre (km) Distance to the nearest urban centre (km) Distance to the nearest urban centre (km) Distance to the nearest urban centre (km) How far is it to the nearest major urban center? 190 1 390 42.657 47.125 Cost of the total fare to go by public transport to the near Cost of the total fare to go by public transport to the near Cost of the total fare to go by public transport to the near Cost of the total fare to go by public transport to the near Cost of the total fare to go by public transport to the near What is the cost of the total fare to go by public transport from here to the nearest urban center? 176 15 150000 24921.46 24588.042 Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community What is the main source of drinking water for residents of this community during the dry / wet season? DRY. 191 1 PUMPED (PIPED) WATER FROM RIVER/LAKE/DAM 2 DIRECTLY FROM THE RIVER/LAKE/STREAM/DAM 3 BOREHOLE 4 UNPROTECTED WELL 5 PROTECTED WELL 6 SPRING WATER 7 RAIN WATER 8 TAP (E.G OWN/PUBLIC/FROM NEARBY BUILDING) 9 BOUGHT FROM WATER VENDOR 10 WATER DELIVERED BY TANKER TRUCK / BARREL 11 MINERAL BOTTLED WATER 96 OTHER (SPECIFY) Other Other Other Other Other 2 189 1 2 2 STREAMS Sysmiss Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community Main source of drinking water for residents of the community What is the main source of drinking water for residents of this community during the dry / wet season? WET. 191 1 PUMPED (PIPED) WATER FROM RIVER/LAKE/DAM 2 DIRECTLY FROM THE RIVER/LAKE/STREAM/DAM 3 BOREHOLE 4 UNPROTECTED WELL 5 PROTECTED WELL 6 SPRING WATER 7 RAIN WATER 8 TAP (E.G OWN/PUBLIC/FROM NEARBY BUILDING) 9 BOUGHT FROM WATER VENDOR 10 WATER DELIVERED BY TANKER TRUCK / BARREL 11 MINERAL BOTTLED WATER 96 OTHER (SPECIFY) Other Other Other Other Other 2 189 1 2 2 PONDS Sysmiss Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm What are the most common types of toilet that households in this community have? 1st. 191 1 OWN PIT LATRINE 2 COMMUNAL PIT LATRINE 3 OWN VIP LATRINE 4 COMMUNAL VIP LATRINE 5 NEIGHBOUR'S / ANOTHER HOUSEHOLD'S PIT LATRINE 6 AQUA PRIVY 7 OWN FLUSH TOILET INSIDE THE HOUSE 8 OWN FLUSH TOILET OUTSIDE THE HOUSE 9 COMMUNAL / SHARED FLUSH TOILET 96 OTHER (SPECIFY) 99 Other Other Other Other Other 46 145 1 BUSH 2 NONE Sysmiss Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm What are the most common types of toilet that households in this community have? 2nd. 151 40 1 OWN PIT LATRINE 2 COMMUNAL PIT LATRINE 3 OWN VIP LATRINE 4 COMMUNAL VIP LATRINE 5 NEIGHBOUR'S / ANOTHER HOUSEHOLD'S PIT LATRINE 6 AQUA PRIVY 7 OWN FLUSH TOILET INSIDE THE HOUSE 8 OWN FLUSH TOILET OUTSIDE THE HOUSE 9 COMMUNAL / SHARED FLUSH TOILET 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 29 162 1 BUSH 2 NON 3 NONE Sysmiss Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm Most common types of toilet that households have in the comm What are the most common types of toilet that households in this community have? 3rd. 83 108 1 OWN PIT LATRINE 2 COMMUNAL PIT LATRINE 3 OWN VIP LATRINE 4 COMMUNAL VIP LATRINE 5 NEIGHBOUR'S / ANOTHER HOUSEHOLD'S PIT LATRINE 6 AQUA PRIVY 7 OWN FLUSH TOILET INSIDE THE HOUSE 8 OWN FLUSH TOILET OUTSIDE THE HOUSE 9 COMMUNAL / SHARED FLUSH TOILET 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 22 169 1 BUSH 2 NON 3 NONE Sysmiss Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil How many households in this community use each type of toilet? 1st. RECORD NUMBER OF HOUSEHOLDS 190 1 5 500 123.437 103.547 Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil How many households in this community use each type of toilet? 2nd. RECORD NUMBER OF HOUSEHOLDS 156 35 300 49.019 57.554 Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil Number of households in community that use each type of toil How many households in this community use each type of toilet? 3rd. RECORD NUMBER OF HOUSEHOLDS 93 98 100 22.452 25.916 Number of households that have electricity Number of households that have electricity Number of households that have electricity Number of households that have electricity Number of households that have electricity How many households in this community have electricity? RECORD NUMBER OF HOUSEHOLDS 88 103 350 9.432 39.228 Number of hours each day households normally have electricit Number of hours each day households normally have electricit Number of hours each day households normally have electricit Number of hours each day households normally have electricit Number of hours each day households normally have electricit For how many hours each day do these households normally have electricity? RECORD NUMBER OF HOURS 48 143 24 11.917 11.093 How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households in this community dispose off their refuse/rubbish? 1st. RECORD UPTO THREE 190 1 1 BURYING 2 REFUSE COLLECTED 3 PIT 4 DUMPING 5 BURNING 96 OTHER Sysmiss Other Other Other Other Other 191 Sysmiss How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households in this community dispose off their refuse/rubbish? 2nd. RECORD UPTO THREE 147 44 1 BURYING 2 REFUSE COLLECTED 3 PIT 4 DUMPING 5 BURNING 6 96 OTHER Sysmiss Other Other Other Other Other 191 Sysmiss How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households deal with their refuse / rubbish? How do most households in this community dispose off their refuse/rubbish? 3rd. RECORD UPTO THREE 56 135 1 BURYING 2 REFUSE COLLECTED 3 PIT 4 DUMPING 5 BURNING 6 96 OTHER Sysmiss Other Other Other Other Other 191 Sysmiss Nearst body of water to the community Nearst body of water to the community Nearst body of water to the community Nearst body of water to the community Nearst body of water to the community What is the nearest body of water to this community? 178 13 1 STREAM 2 RIVER 3 POND 4 LAKE 5 SWAMP 6 MARSH Sysmiss Distance of body of water from the community Distance of body of water from the community Distance of body of water from the community Distance of body of water from the community Distance of body of water from the community How far from the community is this body of water? RECORD DISTANCE IN KM. IF < 1 KM, RECORD 00. 185 6 60 2.491 6.037 Number of months each year body of water contains water Number of months each year body of water contains water Number of months each year body of water contains water Number of months each year body of water contains water Number of months each year body of water contains water For how many months each year does this body of water contain water? RECORD NUMBER OF MONTHS 184 7 12 10.065 3.203 How much has it rained in the last month compared to this mo How much has it rained in the last month compared to this mo How much has it rained in the last month compared to this mo How much has it rained in the last month compared to this mo How much has it rained in the last month compared to this mo How much had it rain during the last month of the previous season as compared to the same month in a typical (normal) year? 186 5 1 VERY MUCH 2 MUCH 3 AVERAGE 4 LITTLE 5 VERY LITTLE 7 Sysmiss How much has it rained in the last year compared to a tropic How much has it rained in the last year compared to a tropic How much has it rained in the last year compared to a tropic How much has it rained in the last year compared to a tropic How much has it rained in the last year compared to a tropic How much did it rain during the previous season as compared to a typical (normal) year? 191 1 MUCH MORE THAN NORMAL 2 MORE THAN NORMAL 3 NORMAL 4 LESS THAN NORMAL 5 MUCH LESS THAN NORMAL Comparison of this year's temparature to temparature in a tr Comparison of this year's temparature to temparature in a tr Comparison of this year's temparature to temparature in a tr Comparison of this year's temparature to temparature in a tr Comparison of this year's temparature to temparature in a tr How does the temperature this year compare to the temperature in a typical (normal) year? 191 1 MUCH HIGHER THAN USUAL 2 SOMEWHAT HIGHER THAN USUAL 3 ABOUT THE SAME 4 SOMEWHAT LOWER THAN USUAL 5 MUCH LOWER THAN USUAL comparison of amount flooding this year to that of a typical comparison of amount flooding this year to that of a typical comparison of amount flooding this year to that of a typical comparison of amount flooding this year to that of a typical comparison of amount flooding this year to that of a typical If your area is prone to flooding, how does the amount of flooding this year compare to a typical (normal) year? 181 10 1 MUCH MORE THAN USUAL 2 SOMEWHAT MORE THAN USUAL 3 ABOUT THE SAME 4 SOMEWHAT LESS THAN USUAL 5 MUCH LESS THAN USUAL 6 NOT PRONE TO FLOODING Sysmiss Can women Purchase land Can women Purchase land Can women Purchase land Can women Purchase land Can women Purchase land In this community, can women……Purchase Land 181 10 1 YES 2 NO Sysmiss Can women Inherit land? Can women Inherit land? Can women Inherit land? Can women Inherit land? Can women Inherit land? In this community, can women……Inherit Land 181 10 1 YES 2 NO Sysmiss Can women sell land? Can women sell land? Can women sell land? Can women sell land? Can women sell land? In this community, can women……Sell Land 181 10 1 YES 2 NO Sysmiss Can women leave land as a bequest when they die? Can women leave land as a bequest when they die? Can women leave land as a bequest when they die? Can women leave land as a bequest when they die? Can women leave land as a bequest when they die? In this community, can women……Leave Land as a Bequest when they die? 181 10 1 YES 2 NO Sysmiss Did individuals in this community trace their descent Did individuals in this community trace their descent Did individuals in this community trace their descent Did individuals in this community trace their descent Did individuals in this community trace their descent Do individuals in this community trace their descent through their father, their mother, or are both kinds of descent traced? (PATRILINEAL OR MATRILINEAL) 191 1 MOTHER 2 FATHER 3 BOTH 96 OTHER (SPECIFY) Other Other Other Other Other 191 Sysmiss How is the village headmen of this community chosen? How is the village headmen of this community chosen? How is the village headmen of this community chosen? How is the village headmen of this community chosen? How is the village headmen of this community chosen? How is the village headman of this community chosen? 189 2 1 ELECTED 2 APPOINTED BY ELDERS 3 APPOINTED BY ADMIN 4 INHERITED 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 1 190 1 NO HEADMAN Sysmiss Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development project is to take place within this community? RECORD UP TO 3. 190 1 1 GOVERNMENT 2 CHIEF / HEADMAN 3 COMMUNITY 4 NGO FINANCING PROJECT 96 OTHER Sysmiss Other Other Other Other Other 10 181 1 AREA DEVELOPMENT COMMITEE 2 COUNCILOR 3 COUNSELLOR 4 DC 5 FAMILY MEMBER FROM MOTHERS SIDE 6 FAMILY MEMBER FROM THE MOTHER 7 FAMILY MEMBERS FROM MOTHERS SIDE 8 FAMILY MEMBERS FROM THE MOTHER SIDE 9 FARMILY MEMBER FROM MOTHERS SIDE Sysmiss Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development project is to take place within this community? RECORD UP TO 3. 169 22 1 GOVERNMENT 2 CHIEF / HEADMAN 3 COMMUNITY 4 NGO FINANCING PROJECT 96 OTHER Sysmiss Other Other Other Other Other 5 186 1 Area Development Commitee 2 Family Members From Mothers Side 3 The One Financing the project 4 councelors Sysmiss Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development pro Who participates in deciding which community development project is to take place within this community? RECORD UP TO 3. 124 67 1 GOVERNMENT 2 CHIEF / HEADMAN 3 COMMUNITY 4 NGO FINANCING PROJECT 96 OTHER Sysmiss Is there a place to purchase to purchase antimalarial medici Is there a place to purchase to purchase antimalarial medici Is there a place to purchase to purchase antimalarial medici Is there a place to purchase to purchase antimalarial medici Is there a place to purchase to purchase antimalarial medici Is there a place to purchase the antimalarial medicine (Fansidar) in this community? If answer is 2 > Go to 6.10 (c6_10 - variable name in dataset). 189 2 1 YES 2 NO Sysmiss Other Other Other Other Other 3 188 1 Chosen Commitee 2 Committe Chosen 3 councilors Sysmiss Do community leaders have regular meetings with households? Do community leaders have regular meetings with households? Do community leaders have regular meetings with households? Do community leaders have regular meetings with households? Do community leaders have regular meetings with households? Do community leaders hold regular meetings with the households? 190 1 1 YES 2 NO Sysmiss How often do community leaders hold meetings? How often do community leaders hold meetings? How often do community leaders hold meetings? How often do community leaders hold meetings? How often do community leaders hold meetings? How often do community leaders hold meetings? 189 2 1 TWICE A MONTH 2 ONCE A MONTH 3 ONCE IN TWO MONTHS 4 ONCE IN THREE MONTHS 5 TWICE A YEAR 6 ONCE A YEAR 7 IRREGULARLY 8 NEVER Sysmiss Village A Village A Village A Village A Village A About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 182 9 1 BALUWA 2 BIKOKO 3 BULANDA 4 BWEMBYA 5 CHAKOBE 6 CHALUNGA 7 CHANDA MUKULU 8 CHANIDA 9 CHAOLEKE 10 CHASAYA 11 CHEMBE 12 CHETEKA 13 CHIBA 14 CHIBESA KUNDA 15 CHIBUMBU 16 CHIBUNSE 17 CHIFUNGWE 18 CHIFYANKA 19 CHIKALAMU 20 CHIKASA 21 CHIKAZIKA 22 CHIKOMA 1 23 CHIKOMA 2 24 CHIKOMPA 25 CHIKWATULA 26 CHILANI MBONI 27 CHILENGE 28 CHILOLO 29 CHILUFYA 30 CHILUMBI 31 CHIMANSA 32 CHIMBA BANTHU 33 CHIMWAKASA 34 CHIMWENDO 35 CHINKUMBA 36 CHINYANTA 37 CHIPALA 38 CHIPEPO 39 CHIPOMBO 40 CHIPOMPO 41 CHIPONDO 42 CHIPOTA 43 CHISANGA 44 CHISULO 45 CHISWA 46 CHITAMBI 47 CHITUZU 48 CHIUTIKA 49 CHIWAULA 50 CHIZEMBE 51 CHSHETA 52 D98 EAST 53 DZUMA 54 FANDANI 55 FITALIYANO 56 FUNWELL 57 GALUWAO 58 GEZE 59 GUMA 60 JEKE 61 JEREMIAH 62 JOHN CHABALA 63 KABILO 64 KABUNDA FIELA 65 KAFULUKUTA /KAMPADA 66 KALASA 67 KALELA 68 KALIKONGWA 69 KALIKONGWA 1 70 KALONDE 71 KALWAN 72 KAMBANYUNGU 73 KAMWALA 74 KANJA 75 KANTIMBA 76 KANYELELE 77 KANYEMENE 78 KAPESA 79 KAPETA MENDO 80 KAPILINGIZYA 81 KAPOTWE 82 KAREKARELA 83 KASANSAMULA 84 KASELA 85 KASUBA 86 KASWEKA 87 KATANGALIKA 88 KAWAMA 89 KAZEMBE 90 KHULIKA 91 KHUMAKHUMA 92 KONJA 93 KWESHA 94 KWINYA 95 LIKAWE 2 96 LINA 97 LINGILILANI 98 LOCATION 99 LUKASHYA TRADES 100 LUKUMANE 101 LUMANGWA 102 MAHARABI 103 MAIPEMBE 104 MALAMA 105 MALEBE 106 MAMMBALA 107 MANGA 108 MBENJE 109 MBUZI 110 MFUNDI 111 MNWABA 112 MOFU 113 MPUNGALUME 114 MTHALIMANJA 115 MTILIZI 116 MTSUKO 117 MUCHENJEZA 118 MUKUNGWE 119 MULANGA 120 MULILANSOLO 121 MUNWA 122 MUPOROKOSO 123 MUSANGU SOLO 124 MUSHISHA 125 MUSONDA MAKUMBI 126 MUSUKU 127 MUTALE MUNKONGE 128 MUTIPULA 129 MWAFWE 130 MWAKAMEMUHI 131 MWALALA 132 MWALE 133 MWANSE MPHANGWE 134 MWANYA 135 MWANZILENI 136 MWENGE 137 MWEWA 138 MWIMBA 139 MWTENDERE 140 MZIMBU 141 NCHELE 142 NEWTOWN 143 NGANJO 144 NKHANYU 145 NKHULUNGALE 146 NKONGA 147 NKONINSUMPU 148 NO VILLAGERS 149 NTHONKHO 150 NYALUBANGA 151 NZERU 152 SAKWI 153 SHAWA 154 SHIMULAMBA 155 SICHELE 156 SITIYA 157 SIWAZINGWA 158 TAFELANSONI 159 TAIPALELO 160 TENTHEMA 161 TIBI 162 TOM GWAZA 163 USIMBE 164 VWELEKETE 165 WILSON 166 YOHANE 167 ZOKWE 168 ZOOLE Number in village A Number in village A Number in village A Number in village A Number in village A About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 181 10 1 200 28.315 35.989 Village B Village B Village B Village B Village B About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 170 21 1 ANDILASI 2 BANGALA 3 BARTON 4 BERNARD 5 BUNGALA 6 CHALEMELA 7 CHAMBA 8 CHAMTHOMBA 9 CHASKA 10 CHIBISA 11 CHIKAKO 12 CHIKAPA 13 CHILUKUSHA 14 CHILUNDWE 15 CHIMBA 16 CHIMSORO 17 CHIMUTAMBO 18 CHIMWANDO 19 CHIMWENDO 20 CHINGOMA 21 CHIPALA 22 CHIPANGALI 23 CHIPUZI 24 CHISALE 25 CHISANGULA 26 CHISEMBE 27 CHISONGE 28 CHITA 29 CHIWENUNKA 30 CHIWENUNKHA 31 CHIZIZI 32 CHONGANYA 33 CHOZOBE 34 CHUPUTULA 35 D97 36 DAMASO 37 DANIEL 38 FARM NO 5 39 GIYA 40 ILAWA 41 JAMES 42 JEULANI 43 JOWELI 44 KABANGE 45 KABILA 46 KABOSHA 47 KABULU 48 KABUSWE 49 KACHELE 50 KACHINDA 51 KACHIPAPA 52 KACULE 53 KALANGULIKA 54 KALEWA 55 KALIKONGWA 2 56 KALIMASENGA 57 KALITEMA 58 KALONGA 59 KALONGAMAMBWE 60 KALUNGA 61 KAMISA FARMS 62 KAMPAMBA 63 KAMSEKELA 2 64 KAMUNA 65 KANABEZA 66 KANAISI 67 KANENA 68 KANUNSHA 69 KAOMA 70 KAPIMPA 71 KAPOMBO 72 KAPOTWE 73 KASHIBA 74 KASHINGWA 75 KASINGILIWE 76 KASUKUTU 77 KASULUKA 78 KATANDULA 79 KATENTE 80 KAVUWO 81 KAYULA 82 LAMBWE 83 LAVU 84 LAZARO 85 LEWA 86 LOBOLA 87 LUANGWA 88 LUPAFYA 89 LUPALA 90 LUPANDE 91 LUYEYE 92 MACHELENTA 93 MAINSA 94 MAKUNIKA 95 MALAMA 96 MALATA 97 MALIPA 98 MALUBA 99 MAMBO 100 MATUMBA 101 MATUMBU 102 MAYAWA 103 MAZILA 104 MBALANI 105 MGALILA 106 MKUZI 107 MLOPWE 108 MOFFAT 109 MPHAMBA 110 MSWAZI 111 MTEKESA 112 MUBENDE 113 MUKANGA 114 MUKUNTO 115 MULEFU 116 MUNA 117 MUNAKA 118 MUNGWALALA 119 MUNYUKWA 120 MUPOSHI 121 MUSALANGO 122 MUSONA 123 MUTALE LAPUKENI 124 MWAMBA 125 MWENDAKUZULU 126 MWEWA 127 MWILIZI 128 MZYEBA 129 NAKULU KATONGO 130 NGALANDE 131 NGANJO 132 NJAKUKI 133 NKWATA 134 NKWETO 135 NSANDO 136 NSEMBA 137 NTHILAKUBILI 138 NYIMBA 139 PINDA 140 QWATULA 141 SELE 142 SHEMU 143 SHIBESA 144 SILIA 145 SILOZI 146 SINGUNI 147 SMART 148 SMOKO 149 SOFT KATONGO 150 SUMAIPI 151 TIKONDANE 152 VILI 153 VUMBWI CENTER 154 WELELE 155 WINBERG 156 YELESANI 157 YUDA Number in village B Number in village B Number in village B Number in village B Number in village B About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 170 21 1 150 22.006 25 Village C Village C Village C Village C Village C About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 148 43 1 AGULISA 2 BELLO 3 BOLI 4 CHAKALE 5 CHAKUNTA 6 CHAMBEZI 7 CHANDOLO 8 CHAPITAMBILI 9 CHEMBE 10 CHIBINGENI 11 CHIFUMBE 12 CHIFUTWE 13 CHIKWEKWE 14 CHILANGU 15 CHIMANANSENGA 16 CHIMATE 17 CHINKOLI 18 CHIPALA 19 CHIPELANI 20 CHISAMA 21 CHISANI 22 CHISHISHA 23 CHISI 24 CHITENSHI 25 CHITSENDE 26 CHITUNDU 27 CHIWANGA 28 CHIWOYELA 29 CHIWOYELE 30 CHOLOWA 31 CHULU 32 CHURE 33 D98WEST 34 DRIVER 35 DUNDU 36 DUNGULUNGU 37 ELUHAGENI 38 FARM NO 4 39 GELE 40 GOBEDE 41 ILIMBA 42 ISAAC 43 JAMES 44 KACAJE 45 KACHEMBELE 46 KAJYONELE 47 KALABE 48 KALEBWE 49 KALIMUJOLI 50 KALIVE 51 KAMFWA 52 KAMIMA 53 KAMTOLO 54 KANDIME 55 KANJA 56 KANKHOMBA 57 KAPENGWE 58 KAPOTWE 59 KAPUPULA 60 KASALU 61 KASELA 62 KATHABWALIKA 63 KATONGODOLA 64 KATSACHI 65 KATUPI 66 KATUTA 67 KHAIPA 68 KHOKA /CHIMTENGO 69 KHOKA /CHIMUTENGO 70 KHUMBA FRAM 71 KOMBE 72 KONKOSENI 73 LONGWE 74 LOTO 75 LOZIA 76 LUSUNTHA 77 LYAWA 78 LYOKI 79 MALANGWA 80 MANDONA 81 MANOTA 82 MANYONI 83 MATALALA 84 MAYEMBE 85 MAZIRA 86 MAZUMO 87 MBUKUTA 88 MDOLOZI 89 MNGWALALA 90 MOLWANI 91 MSASU 92 MSAZULWA 93 MTONDO CHIGOMA 94 MUFWAYA 95 MUGABE 96 MUGAGA 97 MUKABALA 98 MUKOMANSALA 99 MUKUMBA 100 MULUNGAVYELA 101 MUNYOLOWANDA 102 MUSONKO 103 MUTAMINA 104 MUTIMA 105 MUWA 106 MUZEBE 107 MWABA 108 MWILICHINJI 109 MYPAMBE 110 NA KAPAMPA CHALES 111 NAKAPAMBA 112 NGULUBE 113 NKULA NGOMBE 114 NSEMIWE 115 NSHULA 116 NSOFU 117 NYONGO 118 PANDOKA 119 PENDWE 120 PONGA 121 PUTU 122 SANKA 123 SHASAWA 124 SHILUNOA 125 SIMUKANDA 126 SIZALA 127 TENTHANI 128 TONDO 129 TSENJE 130 VILIMUMBA 131 VUMBWI PARIRISH 132 YEMBA 133 ZENGWA 134 ZIMBULO 135 ZOMBE Number in village c Number in village c Number in village c Number in village c Number in village c About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 148 43 200 17.649 23.318 Village D Village D Village D Village D Village D About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 113 78 1 AMIN 2 BIHO 3 BINOTI 4 CHABALA 5 CHAGUNDA 6 CHAKABA 7 CHALIKOSA 8 CHANGATA 9 CHANGAYA 10 CHANNGAYA 11 CHAVUNIKILA 12 CHIGUSE 13 CHIKOLONGO 14 CHIKWALE 15 CHILIKWA 16 CHIMPONDO 17 CHIMPOYO 18 CHIMULANDU 19 CHINGA 20 CHINIMBA 21 CHIPENGO 22 CHIPETA 23 CHIPONDO 24 CHISHISHI 25 CHISULUBA 26 CHISUSU 27 CHIZI 28 CHIZINDILE 29 CHOLA 30 D96 31 DZOZWE 32 ELIYA 33 FARM NO 2 34 FILIKWA 35 GUNDULA 36 ITENDA 37 JASI 38 KABANGAMA 39 KAFUKA 40 KALIKONGWA 2 41 KALILOMBE 42 KALIMBILA 43 KALIMWENE 44 KALISHA 45 KALUMBE 46 KAMUSEKELE 47 KANKHOMBA 48 KANSAMBYA 49 KANTHANGA 50 KAPELEKE 51 KAPHULIKA 52 KAPOMA 53 KASELA 54 KASESEWE 55 KASITA 56 KATETE RANCH 57 KAYULA 58 KAZAMALA 59 KAZENGELA 60 KILIKI 61 LEVY 62 LUKANKO 63 MACHEMBA 64 MALATA 65 MALOMBA 66 MANTHEPA 67 MANYONGA 68 MASAKAMIKA 69 MASONGO 70 MBUBENI 71 MBVUBENZU 72 MFUMBIZI 73 MKANDA 74 MLOLO 75 MPHAMBA 76 MSWAYA 77 MUKONSHI 78 MUKUMBWA 79 MUKUSHYA 80 MUSUKU 81 MWANTETE 82 NDABANDABA 83 NDAKHALA 84 NGANJO 85 NGOMA 86 NJOVU 87 NKHANGENTHE 88 NKHUNZIKUZI 89 SAILOTA 90 SANDLES 91 SEKEMANI 92 SHILUNDKA 93 SHINTIMA 94 SIKATOWA 95 SIKUNDA 96 SIMPETA 97 TEMBWE VILIZ 98 THOMA CHIOMBA 99 TIBI 100 TINDIZA 101 TOBO 102 TUPA 103 YOBE 104 ZAMBWE 105 ZAYUMO Number in village D Number in village D Number in village D Number in village D Number in village D About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 113 78 1 180 17.212 22.541 Village E Village E Village E Village E Village E About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 85 106 1 AMIN 2 CHANTUMALA 3 CHIBABA 4 CHIKWALE 5 CHILOKOTWE 6 CHIMANGENI 7 CHIMBALANGU 8 CHIMPOYO 9 CHINGALA 10 CHINGALA/ CHUNGA 11 CHINGOMBE 12 CHINTHU 13 CHINYUMBU 14 CHIWANGA 15 CHIZIZI 16 CHOLOKA 17 CHOMBA 18 CHULUMANGA 19 CHUMA 20 JAKE 21 KACHEZA 22 KACHICHILE 23 KADYANGOMBE 24 KAFWIMBI 25 KALABA 26 KALANSHI 27 KAMBWILI 28 KANKHOMBA 29 KANYERERE 30 KAPILILI 31 KASAMPHANYA 32 KASUMBUKILA 33 KATASHA 34 KAUKUZYA 35 KAZINGIRE 36 KAZUMBA 37 KENY 38 KHULEYA 39 KHUNGWA 40 KWESHA 41 LUCHINKA 42 LUNDU 43 MACHILA 44 MALEKA 45 MANJABILO 46 MANTHEMPA 47 MATOWA 48 MBESUMA 49 MBOZI BASIC SCH 50 MGANGA 51 MKUMBA 52 MUCHILINGWA 53 MUKILWA 54 MUNANGA 55 MUNYAKATWA 56 MUSAMPHENI 57 MUSHASHI 58 MWANDAUNGA 59 NDALAMBI 60 NJENJEMA 61 NKHUMBA 62 NSHINKA 63 NYAKAUYA 64 NYALI FARM 65 NYEMBE 66 OGAST 67 PENDE 68 PHILIP 69 SANKHA 70 SHOLA 71 SIKALALUKA 72 SIMON 73 SUNGANI 74 SUNKUTHU 75 THUMBA 76 UNDERSON 77 YAMBA YAMBA 78 ZAKOCHERA 79 ZUNDU Number in village E Number in village E Number in village E Number in village E Number in village E About how many people attend? RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE. 85 106 1 81 16.765 17.929 Is there a place to purchase common medicine in this communi Is there a place to purchase common medicine in this communi Is there a place to purchase common medicine in this communi Is there a place to purchase common medicine in this communi Is there a place to purchase common medicine in this communi Is there a place to purchase common medicines such as Panadol in this community? 191 1 YES 2 NO Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Where can one purchase common medicines such as Panadol? 1st. RECORD UP TO THREE 139 52 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 16 175 1 CROCERY 2 GROCERIES 3 GROCERY 4 GROCERY STORE 5 GROCERY STORES 6 RETAIL SHOP 7 SHOP 8 TUCKSHOP Sysmiss Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Where can one purchase common medicines such as Panadol? 2nd. RECORD UP TO THREE 7 184 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 2 189 1 Shop 2 grocery shops Sysmiss Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Place to purchase common medicine such as panadol Where can one purchase common medicines such as Panadol? 3rd. RECORD UP TO THREE 2 189 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Distance to the nearest place to purchase common medicines Distance to the nearest place to purchase common medicines Distance to the nearest place to purchase common medicines Distance to the nearest place to purchase common medicines Distance to the nearest place to purchase common medicines What is the distance to the nearest place where one can puchase common medicines such as Panadol (from here where the interview is taking place)? RECORD DISTANCE IN KM. IF < 1 KM, RECORD 00. 102 89 96 4.468 14.379 Is there a place to purchase the antimalarial medicine Coart Is there a place to purchase the antimalarial medicine Coart Is there a place to purchase the antimalarial medicine Coart Is there a place to purchase the antimalarial medicine Coart Is there a place to purchase the antimalarial medicine Coart Is there a place to purchase the antimalarial medicine (Coartem) in this community? If answer is 2 > Go to 6.07 (c6_07 - variable name in dataset). 188 3 1 YES 2 NO Sysmiss Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Where can one purchase Coartem in this community? 1st. RECORD ALL THAT APPLY. 20 171 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 1 190 1 GROCERIES Sysmiss Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Where can one purchase Coartem in this community? 2nd. RECORD ALL THAT APPLY. 10 181 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Place to purchase coartem in this community? Where can one purchase Coartem in this community? 3rd. RECORD ALL THAT APPLY. 6 185 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Distance to the nearest place to purchase the antimalarial m Distance to the nearest place to purchase the antimalarial m Distance to the nearest place to purchase the antimalarial m Distance to the nearest place to purchase the antimalarial m Distance to the nearest place to purchase the antimalarial m What is the distance to the nearest place where one can purchase the antimalarial medicine (Coartem), from here where the interview is taking place? RECORD DISTANCE IN KM. IF < 1 KM, RECORD 00. 12 179 60 12.733 19.098 Place to purchase in this community? (1st) Place to purchase in this community? (1st) Place to purchase in this community? (1st) Place to purchase in this community? (1st) Place to purchase in this community? (1st) Where can one purchase Fansidar in this community? 1st. RECORD ALL THAT APPLY. 51 140 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 9 182 1 1 2 CROCERY 3 GROCERIES 4 GROCERY STORE Sysmiss Place to purchase in this community? (2nd) Place to purchase in this community? (2nd) Place to purchase in this community? (2nd) Place to purchase in this community? (2nd) Place to purchase in this community? (2nd) Where can one purchase Fansidar in this community? 2nd. RECORD ALL THAT APPLY. 3 188 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Place to purchase in this community? (3rd) Place to purchase in this community? (3rd) Place to purchase in this community? (3rd) Place to purchase in this community? (3rd) Place to purchase in this community? (3rd) Where can one purchase Fansidar in this community? 3rd. RECORD ALL THAT APPLY. 1 190 1 GOVERNMENT HOSPITAL 2 GOVERNMENT CLINIC 3 GOVERNMENT HEALTH POST 4 PRIVATE HOSPITAL 5 PRIVATE CLINIC 6 DRUG SHOP 7 PHARMACY 8 TRADITIONAL HEALER 9 FAITH / CHURCH HEALER 10 COMMUNITY HEALTH WORKER 11 KANTEMBA 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Distance to the nearest place to purchase the antimalarial f Distance to the nearest place to purchase the antimalarial f Distance to the nearest place to purchase the antimalarial f Distance to the nearest place to purchase the antimalarial f Distance to the nearest place to purchase the antimalarial f What is the distance to the nearest place where one can puchase the antimalarial medicine Fansidar (from here where the interview is taking place)? RECORD DISTANCE IN KM. IF < 1 KM, RECORD 00. 45 146 80 7.111 16.599 Are there any groups or programs providing insecticide-treat Are there any groups or programs providing insecticide-treat Are there any groups or programs providing insecticide-treat Are there any groups or programs providing insecticide-treat Are there any groups or programs providing insecticide-treat Are there any groups or programs in this community providing insecticide-treated mosquito nets for free or at low cost? If answer is 2 > Go to next section (c7_01a - variable name in dataset). 191 1 YES 2 NO Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets What organizations provide insecticide-treated mosquito nets for free or at low cost? RECORD ALL THAT APPLY. 107 84 1 NEIGHBORHOOD HEALTH COMMITTEES 2 NON-GOVERNMENTAL ORGANIZATIONS 3 GOVERNMENT / PUBLIC ORGANIZATIONS 4 PRIVATE ORGANIZATIONS 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 19 172 1 2 2 3 5 4 7 5 96 6 ANT MALARI 7 ANTI MALAR 8 ANTIMALARI 9 CHURCHES A 10 LAMBERING 96CRAFTMAKING 11 M.C.C 12 MAMA SAFE 13 MCC 14 N.M.C.C 15 ROLL BACK 16 SAFE NITE Sysmiss Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets What organizations provide insecticide-treated mosquito nets for free or at low cost? RECORD ALL THAT APPLY. 191 1 NEIGHBORHOOD HEALTH COMMITTEES 2 NON-GOVERNMENTAL ORGANIZATIONS 3 GOVERNMENT / PUBLIC ORGANIZATIONS 4 PRIVATE ORGANIZATIONS 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 8 183 1 1 0 22 1132 0 0 2 1 1 11 3 31141 026 3 1 5 21 3 11584 010 4 1 6 22 1183 0 0 5 1 7 12 1902 0 5 6 1 8 22 1244 0 0 7 110 11 25 11131 040 8 110 21 3 11108 020 9 130 22 2 10 2 2 1 189 140 0 1 11 2 2 1129 0 0 12 2 2 1160 0 0 13 2 2 1165 0 0 14 2 2 1184 0 0 15 2 2 1243 0 0 16 2 2 1704 016 17 2 2 1772 040 18 LARIA 19 OCIATION OF ZAMBIA 20 T 21 TE Sysmiss Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets What organizations provide insecticide-treated mosquito nets for free or at low cost? RECORD ALL THAT APPLY. 191 1 NEIGHBORHOOD HEALTH COMMITTEES 2 NON-GOVERNMENTAL ORGANIZATIONS 3 GOVERNMENT / PUBLIC ORGANIZATIONS 4 PRIVATE ORGANIZATIONS 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets What organizations provide insecticide-treated mosquito nets for free or at low cost? RECORD ALL THAT APPLY. 1 190 1 NEIGHBORHOOD HEALTH COMMITTEES 2 NON-GOVERNMENTAL ORGANIZATIONS 3 GOVERNMENT / PUBLIC ORGANIZATIONS 4 PRIVATE ORGANIZATIONS 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 1 0 2 2 0 3 3 0 4 4 20 3 5 3 Sysmiss Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets Organizations that provide insecticide-treated mosquito nets What organizations provide insecticide-treated mosquito nets for free or at low cost? RECORD ALL THAT APPLY. 2 189 1 NEIGHBORHOOD HEALTH COMMITTEES 2 NON-GOVERNMENTAL ORGANIZATIONS 3 GOVERNMENT / PUBLIC ORGANIZATIONS 4 PRIVATE ORGANIZATIONS 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 2 189 1 Unicef Sysmiss Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t What are the names of the last three programs that provided insecticide-treated mosquito nets? PROGRAM 1. RECORD NAMES OF PROGRAMS BELOW. 97 94 1 2 00 3 AFRICARE INTERNATIONAL 4 ANTI MALARIA 5 ANTI-MALARIA 6 CARE 7 CARE INTERNATIONAL 8 CHAZ 9 CHILD HEALTH WEEK 10 CHILD HEALTH WEEK MCH 11 CMBR 12 COM MALARIA BUSTER PROG 13 COM MALARIA BUSTER PROGRAM 14 COMBO 15 COMM MALARIA BUSTER PROG 16 COMM MALARIA BUSTER PROGRAME 17 DISASTER 18 GOVERNMENT 19 KOMBO 20 MALARIA 21 MAMA SAFE NITE 22 MAMA SAFENITE 23 MCC 24 MEASLES COMPOUD 25 MOTHER CHILD CARE 26 MOTHER CHILD HEALTH PROGRAMMS 27 MOTHER-CHILD HEALTH 28 N.M.C.C 29 NATIONAL MALARIA CONTROL CENTR 30 NEIGHBOUR HEALTH COMMITTE 31 NMCC 32 PAGE 33 PREGNANT MALARIA PREVENTION 34 RAPIDS 35 ROLL BACK MALARIA 36 ROLL-BACK MALARIA 37 SAFE NIGT 38 SAFENIGHT 39 SAFENITE 40 UNICEF 41 USAID Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t What are the names of the last three programs that provided insecticide-treated mosquito nets? PROGRAM 2. RECORD NAMES OF PROGRAMS BELOW. 74 117 1 2 00 3 CHAZ 4 CHILD HEALTH WEEK 5 CRAIDS 6 DONATION FRM NGO 7 DONATION FROM NGO 8 MOTHER CHILD CARE 9 PERMANET 10 PLAN 11 POWERNET 12 ROLL BACK MALARIA 13 SAFE NIGHT 14 SOCIETY FOR FAMILY HEALTH 15 USAID Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t Names of the last three programs that provided insecticide-t What are the names of the last three programs that provided insecticide-treated mosquito nets? PROGRAM 3. RECORD NAMES OF PROGRAMS BELOW. 66 125 1 2 00 Price of these treated bed nets in the last such program? Price of these treated bed nets in the last such program? Price of these treated bed nets in the last such program? Price of these treated bed nets in the last such program? Price of these treated bed nets in the last such program? What was the price of these treated mosquito nets (single bed size) in the last such program? RECORD COST IN KWACHA. IF FREE, RECORD 00. 94 97 10000 638.298 1944.67 Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this What activities are the most important sources of livelihood for individuals in this community? 1ST. RECORD UP TO THREE. 190 1 1 WAGE EMPLOYMENT 2 RUNNING A BUSINESS / SELF-EMPLOYED 3 FARMING 4 FISHING 5 CHARCOAL / FIREWOOD 6 BEE KEEPING 7 PIECEWORK 41 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 191 Sysmiss Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this What activities are the most important sources of livelihood for individuals in this community? 2ND. RECORD UP TO THREE. 144 47 1 WAGE EMPLOYMENT 2 RUNNING A BUSINESS / SELF-EMPLOYED 3 FARMING 4 FISHING 5 CHARCOAL / FIREWOOD 6 BEE KEEPING 7 PIECEWORK 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 3 188 1 BEER BREWING 2 LAMBERING 3 LIVESTOCK Sysmiss Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this Most important sources of livelihood for individuals in this What activities are the most important sources of livelihood for individuals in this community? 3RD. RECORD UP TO THREE. 81 110 1 WAGE EMPLOYMENT 2 RUNNING A BUSINESS / SELF-EMPLOYED 3 FARMING 4 FISHING 5 CHARCOAL / FIREWOOD 6 BEE KEEPING 7 PIECEWORK 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 2 189 1 BREWING 2 CRAFTMAKING Sysmiss Do people in this community temporarily during certain times Do people in this community temporarily during certain times Do people in this community temporarily during certain times Do people in this community temporarily during certain times Do people in this community temporarily during certain times Do people in this community leave temporarily during certain times of the year to look for work elsewhere? If answer is 2 > Go to 7.05 (c7_05 - variable name in dataset). 186 5 1 YES 2 NO Sysmiss number of households where members left temporality to work number of households where members left temporality to work number of households where members left temporality to work number of households where members left temporality to work number of households where members left temporality to work In the past 12 months, FROM how many households in this community have members left temporarily to look for work elsewhere? RECORD NUMBER OF HOUSEHOLDS. 63 128 57 11.714 10.452 Where do most of them go? Where do most of them go? Where do most of them go? Where do most of them go? Where do most of them go? Where do most of them go? 63 128 1 RURAL AREAS 2 URBAN AREAS 3 OUTSIDE ZAMBIA Sysmiss Do people people from outside the community come to work dur Do people people from outside the community come to work dur Do people people from outside the community come to work dur Do people people from outside the community come to work dur Do people people from outside the community come to work dur Do people from outside of this community come to work temporarily in this community during certain times of the year? If answer is 2 > Go to 7.08 (c7_08 - variable name in dataset). 190 1 1 YES 2 NO Sysmiss How many people come to the community to work temporarily? How many people come to the community to work temporarily? How many people come to the community to work temporarily? How many people come to the community to work temporarily? How many people come to the community to work temporarily? In the past 12 months, how many people came into this community to work temporarily? RECORD NUMBER OF PEOPLE. 69 122 2 600 42.29 101.02 Where do most of them come from? Where do most of them come from? Where do most of them come from? Where do most of them come from? Where do most of them come from? Where do most of them come from? 69 122 1 RURAL AREAS 2 URBAN AREAS 3 OUTSIDE ZAMBIA Sysmiss Do any households keep livestock in this community? Do any households keep livestock in this community? Do any households keep livestock in this community? Do any households keep livestock in this community? Do any households keep livestock in this community? Do any households grow crops or keep livestock in this community? If answer is 2 > Go to 8.01 (c8_01 in dataset CA8 - variable name in dataset). 187 4 1 YES 2 NO Sysmiss Number of households that farm crops or livestock in this co Number of households that farm crops or livestock in this co Number of households that farm crops or livestock in this co Number of households that farm crops or livestock in this co Number of households that farm crops or livestock in this co How many households grow crops or keep livestock in this community? RECORD NUMBER OF HOUSEHOLDS. 184 7 5 800 156.364 148.984 Number of households that keep goats in this community Number of households that keep goats in this community Number of households that keep goats in this community Number of households that keep goats in this community Number of households that keep goats in this community How many households keep goats in this community? RECORD NUMBER OF HOUSEHOLDS. 178 13 150 23.652 27.603 Number of households that keep Sheep in this community Number of households that keep Sheep in this community Number of households that keep Sheep in this community Number of households that keep Sheep in this community Number of households that keep Sheep in this community How many households keep sheep in this community? RECORD NUMBER OF HOUSEHOLDS. 170 21 34 0.982 4.04 Number of households that keep cattle in this community Number of households that keep cattle in this community Number of households that keep cattle in this community Number of households that keep cattle in this community Number of households that keep cattle in this community How many households keep cattle in this community? RECORD NUMBER OF HOUSEHOLDS. 170 21 130 11.012 19.527 PC used PC used PC used PC used PC used 191 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 191 1 2 3 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 1389 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 1389 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 1389 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 1389 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 1389 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGW A 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 1389 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 1389 PC used PC used PC used PC used PC used 1389 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 1389 PERSONAL IDENTIFICATION NUMBER (PID) PERSONAL IDENTIFICATION NUMBER (PID) PERSONAL IDENTIFICATION NUMBER (PID) PERSONAL IDENTIFICATION NUMBER (PID) PERSONAL IDENTIFICATION NUMBER (PID) PERSONAL IDENTIFICATION NUMBER (PID) 1389 Full name Full name Full name Full name Full name What is your full name (name + surname)? You will administer this questionnaire to a group of several knowledgeable residents of the community, such as the village headman or his spouse, headmaster or teachers in the local school, agricultural extension officer, religious leaders, local merchants, health workers, long-term knowledgeable residents, or NGO workers that have been in the village for a long time. Choose informants who have lived in the community for a number of years. Make sure there is at least one representative from each village in the community. A minimum of 5 and a maximum of 10 respondents should make up the group that completes this questionnaire with you. The group should be as diverse as possible with respect to sex, age, religion and ethnicity, so that it is representative of the population in the community. Note that in the questions in this questionnaire, the term COMMUNITY means the VILLAGE(S) OR PERI-URBAN LOCATION(S) IN WHICH THIS QUESTIONNAIRE IS BEING ADMINISTERED. 1387 Position in the community Position in the community Position in the community Position in the community Position in the community What is your position in the community? 1388 1 1 HEADMAN/WOMAN 2 SPOUSE TO HEADMAN/WOMAN 3 SCHOOL HEADTEACHER 4 TEACHER 5 AGRICULTURAL EXTENSION OFFICER 6 RELIGIOUS LEADER 7 MERCHANT/BUSINESS 8 HEALTH WORKER 9 NGO WORKER 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 374 What village do yoou come from? What village do yoou come from? What village do yoou come from? What village do yoou come from? What village do yoou come from? What village do you come from? Enter name of the village. 1380 Gender Gender Gender Gender Gender Please record gender. 1387 2 1 MALE 2 FEMALE Sysmiss Age Age Age Age Age How old are you? Enter years. 1385 4 99 44.55 14.164 Years lived in the community Years lived in the community Years lived in the community Years lived in the community Years lived in the community For how many years have you lived in this community? 1378 11 86 26.244 20.007 Ethnic group Ethnic group Ethnic group Ethnic group Ethnic group What ethnic group do you belong to? 1387 2 1 BEMBA 2 KAONDE 3 LOZI 4 LUNDA 5 LUVALE 6 NYANJA 7 TONGA 8 10 33 96 OTHER (SPECIFY) Sysmiss Other Other Other Other Other 862 Highest level of education Highest level of education Highest level of education Highest level of education Highest level of education What is the highest level of education you have completed? 1385 4 1 NONE / PRE-PRIMARY 2 3 4 5 6 7 8 9 10 11 FOR CLASSES IN PRIMARY / SECONDARY SCHOOL, RECORD CLASS NUMBER 12 GRADE 12 GCE (O-LEVEL) 13 GRADE 12 GCE (A-LEVEL) 14 COLLEGE / UNIVERSITY 15 UNIVERSITY POSTGRADUATE 16 MASTER'S DEGREE 17 DOCTORAL LEVEL 91 Sysmiss Cluster Cluster Cluster Cluster Cluster CLUSTER ID 1877 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 1877 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 1877 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 1877 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 1877 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 1877 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 1877 PC used PC used PC used PC used PC used 1877 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 1877 IID IID IID IID IID IID 1876 1 1 Neighbourhood Health Committee 2 Wome's Club 3 Credit Club 4 Peer Educators Club 5 Football Club 6 Agricultural Cooperative 7 Youth Club 8 FAWEZA 9 Goat Club 96 Other (Specify) Organizations Organizations Organizations Organizations Organizations 1794 Are ther any ... active in the community? Are ther any ... active in the community? Are ther any ... active in the community? Are ther any ... active in the community? Are ther any ... active in the community? Are there any … active in this community? If answer is 2 > Go to next item. 1855 22 1 YES 2 NO 9 Sysmiss Number of members Number of members Number of members Number of members Number of members How many members does … have? RECORD THE MOST ACTIVE. 701 1176 1 654 40.088 49.079 Year started Year started Year started Year started Year started In what year was … started? 699 1178 1938 2995 2000.373 39.013 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 556 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 556 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 556 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 556 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 556 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 556 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 556 PC used PC used PC used PC used PC used 556 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 556 Nearest Centre Nearest Centre Nearest Centre Nearest Centre Nearest Centre 549 7 1 HOSPITAL 2 CLINIC 3 HEALTH POST Sysmiss Nearest centre Nearest centre Nearest centre Nearest centre Nearest centre 548 Name of nearest ... ? Name of nearest ... ? Name of nearest ... ? Name of nearest ... ? Name of nearest ... ? What is the name of the nearest …? IF DON'T KNOW ENTER "99". 537 Facility code of nearest ... Facility code of nearest ... Facility code of nearest ... Facility code of nearest ... Facility code of nearest ... RECORD FACILITY CODE OF NEAREST … 230 326 3020250 134277.917 561086.096 1 2 3 4 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 28 29 30 31 32 35 37 39 40 50 53 60 80 91 99 30512 30532 30701 301011 301015 301018 301022 301023 302010 302011 602013 602014 602017 602018 602021 602022 605029 3020100 3020250 Sysmiss Distance to the nearest ... Distance to the nearest ... Distance to the nearest ... Distance to the nearest ... Distance to the nearest ... What is the distance to the nearest …? RECORD DISTANCE IN KM 353 203 221.2 21.401 28.266 availability of Coartem at the neares ... availability of Coartem at the neares ... availability of Coartem at the neares ... availability of Coartem at the neares ... availability of Coartem at the neares ... How often is Coartem available at the …? 358 198 1 ALWAYS 2 SOMETIMES 3 NEVER 4 DON’T KNOW Sysmiss availability of RDTs for malaria at the ... availability of RDTs for malaria at the ... availability of RDTs for malaria at the ... availability of RDTs for malaria at the ... availability of RDTs for malaria at the ... How often are rapid diagnostic tests (RDTs) for malaria available at the …? 354 202 1 ALWAYS 2 SOMETIMES 3 NEVER 4 DON’T KNOW Sysmiss Is there a doctor workin at this ...? Is there a doctor workin at this ...? Is there a doctor workin at this ...? Is there a doctor workin at this ...? Is there a doctor workin at this ...? Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? DOCTOR. 453 103 1 YES 2 NO 3 DON’T KNOW Sysmiss Is there a nurse workin at this ...? Is there a nurse workin at this ...? Is there a nurse workin at this ...? Is there a nurse workin at this ...? Is there a nurse workin at this ...? Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? NURSE. 359 197 1 YES 2 NO 3 DON’T KNOW 6 Sysmiss Is there a Midwife workin at this ...? Is there a Midwife workin at this ...? Is there a Midwife workin at this ...? Is there a Midwife workin at this ...? Is there a Midwife workin at this ...? Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? MIDWIFE. 359 197 1 YES 2 NO 3 DON’T KNOW Sysmiss Is there a Medical officer workin at this ...? Is there a Medical officer workin at this ...? Is there a Medical officer workin at this ...? Is there a Medical officer workin at this ...? Is there a Medical officer workin at this ...? Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? MEDICAL OFFICER. 358 198 1 YES 2 NO 3 DON’T KNOW Sysmiss Is there a Medical assistant workin at this ...? Is there a Medical assistant workin at this ...? Is there a Medical assistant workin at this ...? Is there a Medical assistant workin at this ...? Is there a Medical assistant workin at this ...? Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? MEDICAL ASSISTANT. 358 198 1 YES 2 NO 3 DON’T KNOW Sysmiss Is there an Environmental / Lab Technitian workin at this .. Is there an Environmental / Lab Technitian workin at this .. Is there an Environmental / Lab Technitian workin at this .. Is there an Environmental / Lab Technitian workin at this .. Is there an Environmental / Lab Technitian workin at this .. Is there a doctor, nurse, midwife, or medical officer / assistant permanently working at this …? ENVIRONMENTAL / LAB TECHNICIAN. 359 197 1 YES 2 NO 3 DON’T KNOW Sysmiss Type of Facility Type of Facility Type of Facility Type of Facility Type of Facility Is … a government facility, church facility, or private facility? 345 211 1 GOVERNMENT 2 PRIVATE 3 CHURCH 4 OTHER (SPECIFY) 21 96 Sysmiss Cluster Cluster Cluster Cluster Cluster CLUSTER ID 2348 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 2348 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 2348 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 2348 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 2348 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 2348 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 2348 PC used PC used PC used PC used PC used 2348 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 2348 ID ID ID ID ID 2345 3 1 Drought 2 Flood 3 Crop Disease/pests 4 Livestock Disease 5 Human Epidemic Disease 6 Sharp Changes in Prices 7 Massive Job Layoffs 8 Loss of Key Social Services 9 New Health Facility or Major Improvement to Old Facility 10 New School or Major Improvement to Old School 11 New Road or Major Improvement to Old Road 12 New Employment Opportunity 13 96 Other (Specify) Sysmiss Shocks Shocks Shocks Shocks Shocks 2293 Has ... taken place in the past 10 years? Has ... taken place in the past 10 years? Has ... taken place in the past 10 years? Has ... taken place in the past 10 years? Has ... taken place in the past 10 years? I would now like us to talk about the important events that have taken place in this community in the past 10 years, i.e. since 1999, including any events that have occurred this year. We are specifically interested in events that have changed the well-being of people in this community for better or for worse. Examples of events that might have made people worse off are disease epidemcis, crop failures, natural disasters, price fluctuations, or the loss of key social services. Examples of events that may have made people better off are new schools or medical facilities, new employment opportunities, or the construction of a new road. Has … taken place / been constructed in this community in the past 10 years? If answer is 2 > Go to next item. 2329 19 1 YES 2 NO Sysmiss number of times in the past 10 years ... took place number of times in the past 10 years ... took place number of times in the past 10 years ... took place number of times in the past 10 years ... took place number of times in the past 10 years ... took place How many times in the past 10 years has…...taken place? RECORD NUMBER OF TIMES. 862 1486 1 51 3.819 3.856 Year ... occured Year ... occured Year ... occured Year ... occured Year ... occured In which year did … last occur? RECORD YEAR. 844 1504 Number of households in the community that were affected by Number of households in the community that were affected by Number of households in the community that were affected by Number of households in the community that were affected by Number of households in the community that were affected by How many households in the community were affected by …? RECORD NUMBER OF HOUSEHOLDS. 833 1515 1610 156.298 188.311 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 1088 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 1088 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 1088 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 1088 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 1088 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 1088 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 1088 PC used PC used PC used PC used PC used 1088 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 1088 FID FID FID FID FID FID Please ask questions (4.13) to (4.22) for each item mentioned in (4.13) before moving on to the next item. Please record answers to questions (4.13) to (4.20) at the bottom of this page and questions (4.21) to (4.22) after question (4.21) on the next page. 1084 4 1 Primary school classrooms and staff housing? 2 Secondary school classrooms and staff housing? 3 Health center or staff housing 4 Drug shops 5 Pharmacies 6 Market 7 9 69 96 Other important infrastructure Sysmiss Facility Facility Facility Facility Facility FACILITY 29 Is there a [FACILITY] in or near your community? Is there a [FACILITY] in or near your community? Is there a [FACILITY] in or near your community? Is there a [FACILITY] in or near your community? Is there a [FACILITY] in or near your community? Is there a [FACILITY] in or near your community? If answer is 2 > Go to next facility. 1060 28 1 YES 2 NO 8 9 Sysmiss distance from household to facility distance from household to facility distance from household to facility distance from household to facility distance from household to facility How far from your community is the [FACILITY]? FROM POINT OF INTERVIEW. RECORD DISTANCE IN KM. 405 683 42 3.431 5.774 Number of people that work at the facility Number of people that work at the facility Number of people that work at the facility Number of people that work at the facility Number of people that work at the facility How many people work at the facility? RECORD NUMBER OF PEOPLE. 397 691 1500 17.418 93.913 Number of people served by facility Number of people served by facility Number of people served by facility Number of people served by facility Number of people served by facility How many people does the facility serve? WILL INCLUDE FACILITY-SPECIFIC QUESTIONS TO CAPTURE CATCHMENT AREA. RECORD NUMBER OF PEOPLE. 402 686 2000000 7581.711 99695.406 Size of Geographical area served by facility (sq. km) Size of Geographical area served by facility (sq. km) Size of Geographical area served by facility (sq. km) Size of Geographical area served by facility (sq. km) Size of Geographical area served by facility (sq. km) How large is the geographical area served by this facility? FURTHEST POINT. RECORD SIZE IN KM. 396 692 10274 79.247 599.822 Organisation that helped in the construction / rehabilitatio Organisation that helped in the construction / rehabilitatio Organisation that helped in the construction / rehabilitatio Organisation that helped in the construction / rehabilitatio Organisation that helped in the construction / rehabilitatio Which organizations helped with the construction / rehabilitation / expansion of [FACILITY]? RECORD ALL THAT APPLY. 402 686 1 FAWEZA 2 DANIDA 3 WORLD VISION 4 CHURCH 5 GOVERNMENT 6 WORLD BANK 7 DFID 8 USAID 9 NGO 10 JICA 96 OTHER Sysmiss Type of contribution the organisation made Type of contribution the organisation made Type of contribution the organisation made Type of contribution the organisation made Type of contribution the organisation made What type of contribution did the organization(s) make? RECORD ALL THAT APPLY. 399 689 1 FINANCIAL ASSISTANCE 2 TECHNICAL ASSISTANCE 3 CONSTRUCTION 4 REHABILITATION 5 EXPANSION 9 12 13 20 96 Sysmiss Year the organization started helping with the financial/ te Year the organization started helping with the financial/ te Year the organization started helping with the financial/ te Year the organization started helping with the financial/ te Year the organization started helping with the financial/ te In which year did the organization start helping with the financial / technical assistance / construction / rehabilitation / expansion RECORD YEAR. 397 691 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 652 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 652 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 652 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 652 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 652 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 652 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 652 PC used PC used PC used PC used PC used 652 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 652 FID FID FID FID FID FID Please record answers for questions 4.21 to 4.22 in the chart below 4.22. Please ask questions 4.13 to 4.22 for all items listed in 4.13 before moving on to question 4.23. 620 32 1 Primary school classrooms and staff housing? 2 Secondary school classrooms and staff housing? 3 Health center or staff housing 4 Drug shops 5 Pharmacies 6 Market 7 96 Other important infrastructure Sysmiss Contribution of community towards the construction of facili Contribution of community towards the construction of facili Contribution of community towards the construction of facili Contribution of community towards the construction of facili Contribution of community towards the construction of facili What did the community contribute towards the construction of [FACILITY]? 472 180 1 LABOR 2 MATERIALS 3 CASH 4 NOTHING 96 OTHER SPECIFY Sysmiss Other Other Other Other Other 216 State of facility overall State of facility overall State of facility overall State of facility overall State of facility overall In what state is [FACILITY] overall? 367 285 1 NEW OR FUNCTIONAL NEEDING NO REPAIR 2 FUNCTIONAL BUT NEEDS SOME REPAIR 3 DILAPIDATED, UNUSUABLE, NOT UNDER REPAIR 4 UNUSABLE, UNDER CONSTRUCTION OR REPAIR Sysmiss Cluster Cluster Cluster Cluster Cluster CLUSTER ID 203 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 203 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 203 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 203 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 203 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 203 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 203 PC used PC used PC used PC used PC used 203 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 203 TID TID TID TID TID 162 41 1 2 5 Sysmiss Price of 1kg of Maize grain / Maize meal / Nshima Price of 1kg of Maize grain / Maize meal / Nshima Price of 1kg of Maize grain / Maize meal / Nshima Price of 1kg of Maize grain / Maize meal / Nshima Price of 1kg of Maize grain / Maize meal / Nshima What is the price of………..? Maize Grain (Meda). If commodity not sold in the community, go to NEXT ITEM. 184 19 1500 50000 5635.598 4389.832 Price of 1 loaf if bread Price of 1 loaf if bread Price of 1 loaf if bread Price of 1 loaf if bread Price of 1 loaf if bread What is the price of………..? 1 Loaf of Bread. If commodity not sold in the community, go to NEXT ITEM. 77 126 7000 4564.935 1353.238 Price of 1 kg of Cassava Price of 1 kg of Cassava Price of 1 kg of Cassava Price of 1 kg of Cassava Price of 1 kg of Cassava What is the price of………..? 1 KG of Cassava Chips. If commodity not sold in the community, go to NEXT ITEM. 117 86 25000 4016.239 5924.641 Price of 1 Chicken Price of 1 Chicken Price of 1 Chicken Price of 1 Chicken Price of 1 Chicken What is the price of………..? 1 Chicken. If commodity not sold in the community, go to NEXT ITEM. 184 19 1000 30000 17722.826 6539.65 Price of 1 kg of kapenta Price of 1 kg of kapenta Price of 1 kg of kapenta Price of 1 kg of kapenta Price of 1 kg of kapenta What is the price of………..? 1 KG of Dry Kapenta. If commodity not sold in the community, go to NEXT ITEM. 115 88 25000 7978.261 5002.802 Price of 1 kg of rice Price of 1 kg of rice Price of 1 kg of rice Price of 1 kg of rice Price of 1 kg of rice What is the price of………..? 1 KG of Rice. If commodity not sold in the community, go to NEXT ITEM. 125 78 700 40000 5221.6 4519.163 Price of 1 kg of fish Price of 1 kg of fish Price of 1 kg of fish Price of 1 kg of fish Price of 1 kg of fish What is the price of………..? 1 KG of Dry Fish. If commodity not sold in the community, go to NEXT ITEM. 102 101 1000 40000 10779.412 5954.686 Price of 1 k of sugar Price of 1 k of sugar Price of 1 k of sugar Price of 1 k of sugar Price of 1 k of sugar What is the price of………..? 1 KG of Sugar. If commodity not sold in the community, go to NEXT ITEM. 183 20 3500 15000 5756.011 2042.822 Price of 1 liter of cooking oil Price of 1 liter of cooking oil Price of 1 liter of cooking oil Price of 1 liter of cooking oil Price of 1 liter of cooking oil What is the price of………..? 750ml Cooking Oil. If commodity not sold in the community, go to NEXT ITEM. 180 23 1000 15000 9141.667 2567.652 Price of 1 kg of salt Price of 1 kg of salt Price of 1 kg of salt Price of 1 kg of salt Price of 1 kg of salt What is the price of………..? 1 KG of Salt. If commodity not sold in the community, go to NEXT ITEM. 165 38 10000 2346.061 1739.971 Price of 1 liter of milk Price of 1 liter of milk Price of 1 liter of milk Price of 1 liter of milk Price of 1 liter of milk What is the price of………..? 1 Litre of Milk. If commodity not sold in the community, go to NEXT ITEM. 93 110 10000 4613.333 3360.708 Price of 1 liter of petrol Price of 1 liter of petrol Price of 1 liter of petrol Price of 1 liter of petrol Price of 1 liter of petrol What is the price of………..? 1 Litre of Petrol. If commodity not sold in the community, go to NEXT ITEM. 48 155 11500 6161.229 2725.998 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 806 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 806 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 806 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 806 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 806 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 806 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 806 PC used PC used PC used PC used PC used 806 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 806 FID FID FID FID FID FID 576 230 1 Govt Hopspital/Clinic 2 Health Post 3 Private Hospital/Clinic 4 Drug Shop/Pharmacy 5 Traditional Healer 6 Faith Church Healer 7 Other (Peaify 96 Sysmiss Name of healthcare worker Name of healthcare worker Name of healthcare worker Name of healthcare worker Name of healthcare worker 71 Price of registration fee for health consultation Price of registration fee for health consultation Price of registration fee for health consultation Price of registration fee for health consultation Price of registration fee for health consultation What is the price of …? REGISTRATION FEE FOR HEALTH CONSULTATION. RECORD PRICE IN KWACHA. 191 615 90000 13156.283 13877.203 Price of lab testing Price of lab testing Price of lab testing Price of lab testing Price of lab testing What is the price of …? LAB TESTING (Malaria). RECORD PRICE IN KWACHA. 15 791 25000 7466.667 7414.914 Price of hospitalization (1 night) Price of hospitalization (1 night) Price of hospitalization (1 night) Price of hospitalization (1 night) Price of hospitalization (1 night) What is the price of …? HOSPITALIZATION (1 NIGHT). RECORD PRICE IN KWACHA. 46 760 500000 95013.043 107283.23 Price of panadol (Adult dose) Price of panadol (Adult dose) Price of panadol (Adult dose) Price of panadol (Adult dose) Price of panadol (Adult dose) What is the price of …? PANADOL (ADULT DOSE). RECORD PRICE IN KWACHA. 35 771 8000 871.429 1314.64 Price of Coartem (Adult dose) Price of Coartem (Adult dose) Price of Coartem (Adult dose) Price of Coartem (Adult dose) Price of Coartem (Adult dose) What is the price of …? COARTEM (ADULT DOSE). RECORD PRICE IN KWACHA. 15 791 40000 14466.667 12082.258 Price of Fansidar (Adult dose) Price of Fansidar (Adult dose) Price of Fansidar (Adult dose) Price of Fansidar (Adult dose) Price of Fansidar (Adult dose) What is the price of …? FANSIDAR (ADULT DOSE). RECORD PRICE IN KWACHA. 33 773 2500 1242.424 952.966 Price of Rapid Diagnostic test (RDT) Price of Rapid Diagnostic test (RDT) Price of Rapid Diagnostic test (RDT) Price of Rapid Diagnostic test (RDT) Price of Rapid Diagnostic test (RDT) What is the price of …? RAPID DIAGNOSTIC TEST (RDT) FOR MALARIA). RECORD PRICE IN KWACHA. 13 793 10000 1923.077 3839.738 Cluster Cluster Cluster Cluster Cluster CLUSTER ID 548 Province/Code Province/Code Province/Code Province/Code Province/Code PROVINCE NAME/CODE 548 3 EASTERN 4 LUAPULA 6 NORTHERN District/Code District/Code District/Code District/Code District/Code DISTRICT NAME/CODE 548 301 CHADIZA 302 CHAMA 305 LUNDAZI 307 NYIMBA 401 MWENSE 602 CHINSALI 605 KASAMA Consituency/Code Consituency/Code Consituency/Code Consituency/Code Consituency/Code CONSTITUENCY NAME/CODE 548 37 CHADIZA 38 VUBWI 39 CHAMA NORTH 40 CHAMA SOUTH 48 CHASEFU 49 LUMEZI 50 LUNDAZI 52 NYIMBA 62 CHIPILI 63 MAMBILIMA 64 MWENSE 83 CHINSALI 84 SHIWANG'ANDU 90 KASAMA 91 LUKASHA Ward/Code Ward/Code Ward/Code Ward/Code Ward/Code WARD NAME/CODE 548 3701 MANGWE 3702 NAVIRULI 3705 KAPINI 3706 AMBIZI 3707 TAFERANSONI 3709 KANDABWAKO 3710 CHADIZA 3711 NSANZU 3712 MANJE 3813 KHUMBA 3814 MWANGAZI 3815 MBOZI 3816 VUBWI 3817 CHISIYA 3819 DZOZWE 3820 SINDEMISALE 3909 MWALALA 3910 KAMPHEMBA 3911 MPHALAUSENGA 3912 KALINKU 3913 MANTHEPA 3914 MBAZI 3915 NDUNDA 3917 LUANGWA 3919 MUCHINGA 4001 MAPAMBA 4002 CHILENJE 4003 VILIMUKULU 4004 LUNZI 4005 LUMENZI 4006 CHIBUNGWE 4007 BAZIMU 4008 MABINGA 4817 CHABOLI 4819 NKHANGA 4820 KAPILISANGA 4821 LUWEREZI 4823 MAGODI 4825 KAJILIME 4901 DIWA 4902 KAMIMBA 4903 CHAMTOWA 4904 WACHITANGACHI 4905 KAZEMBE 5009 LUNEVWA 5012 CHILOLA 5014 MNYAMAZI 5016 VUU 5203 VIZIMUMBA 5204 NGOZI 5205 LWEZI 5206 NYIMBA 5207 KALIWE 5210 CHAMALILA 5211 CHINAMBI 6210 NSENGA 6211 MUMBWE 6213 NALUPEMBE 6214 NKONGE 6309 KALANGA 6315 NSOMFI 6316 MUNUA 6317 MAMBILIMA 6318 MUSONDA 6319 CHIBEMBE 6401 KAOMBE 6402 NKANGA 6403 LUCHE 6404 PEBE KABESA 6405 KAPELA 6406 CHACHACHA 8301 ITABA 8303 CHILINDA 8304 KAUNGA 8308 LUBWA 8309 ICHINGA 8310 MUNWAKUBILI 8411 BUWA 8412 CHITANSAMA 8414 MUKUMBI 8415 CHIBINDA 8418 ICHIINGO 8420 NKULUNGWE 9002 BULULU 9003 KASENGA 9004 LUKULU 9005 LUKUPA 9006 MULILANSOLO 9007 BUSEKO 9008 CHIBA 9010 KAPONGOLO 9110 KAPONGOLO 9111 MUKANGA 9112 LUSENGA 9113 MUSOWA 9115 CHIBUMBU CSA Number CSA Number CSA Number CSA Number CSA Number CSA NUMBER 548 SEA Number SEA Number SEA Number SEA Number SEA Number SEA NUMBER 548 PC used PC used PC used PC used PC used 548 1 zaai1 2 zaai2 6 zaai6 7 zaai7 8 zaai8 548 TID TID TID TID TID 452 96 1 Preschool/Kindergarden 2 Primary 3 Secondary 4 Other (Specify) 5 6 Sysmiss TYPE OF FACILITY TYPE OF FACILITY TYPE OF FACILITY TYPE OF FACILITY TYPE OF FACILITY 95 Price of School fees (1 term) Price of School fees (1 term) Price of School fees (1 term) Price of School fees (1 term) Price of School fees (1 term) What is the price of …? School Fees. PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 141 407 1250000 89436.177 146134.484 Price of Parent assn. Fees and levies (1 term) Price of Parent assn. Fees and levies (1 term) Price of Parent assn. Fees and levies (1 term) Price of Parent assn. Fees and levies (1 term) Price of Parent assn. Fees and levies (1 term) What is the price of …? Parent ASSN. Fees and Levies (PTA). PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 125 423 400000 29560 57504.158 Price of Tuition and boarding fees (1 term) Price of Tuition and boarding fees (1 term) Price of Tuition and boarding fees (1 term) Price of Tuition and boarding fees (1 term) Price of Tuition and boarding fees (1 term) What is the price of …? Boarding Fees. PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 32 516 1800000 295125 379242.943 Price of textbook (1 class) Price of textbook (1 class) Price of textbook (1 class) Price of textbook (1 class) Price of textbook (1 class) What is the price of …? TextBooks. PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 26 522 600000 106211.538 161914.803 Price of Uniforms and other materials (1 term) Price of Uniforms and other materials (1 term) Price of Uniforms and other materials (1 term) Price of Uniforms and other materials (1 term) Price of Uniforms and other materials (1 term) What is the price of …? Uniforms. PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 156 392 300000 55423.077 50768.931 Price of Other spending on Education (1 term) Price of Other spending on Education (1 term) Price of Other spending on Education (1 term) Price of Other spending on Education (1 term) Price of Other spending on Education (1 term) What is the price of …? Other Spending on Education. PER PUPIL, PER YEAR. RECORD PRICE IN KWACHA. 64 484 420000 50250 75605.072