DDI_KEN_2010_KMIS_v02_M Kenya National Bureau of Statistics Accelerated Data Program 2013-05-31 NADA Version 02 (October 2013). Edited version based on Version 01 DDI that was done by Kenya National Bureau of Statistics and reviewed by Accelerated Data Program, International Household Survey Network. Malaria Indicator Survey 2010 KMIS 2010 KEN_2010_KMIS_v01_M Kenya National Bureau of Statistics Division of Malaria Control World Health Organization Center for Disease Control and Prevention NADA United Kingdom Department for Internation International Development United states President's Malaria Initiative United Nations Children's Fund Director General General Inquiries Data and Data Related Resources Other Household Health Survey [hh/hea] As a household level survey, a malaria indicator survey (MIS) is particularly useful in countries where malaria is a major public health problem. An MIS provides an opportunity to measure the coverage of interventions that primarily target the household level, such as insecticidetreated nets and behaviour change communication, and also helps to understand patterns of antimalarial use among target populations. The MIS complements other household surveys such as the Demographic and Health Surveys and Multiple Indicator Cluster Surveys in evaluating progress against malaria control targets. Unlike other surveys, MIS is conducted during the peak malaria transmission season, thus giving a true picture of malaria prevalence among target populations. This is the second MIS to be conducted in Kenya and there are some differences from the fi rst one, conducted in 2007. For one thing, the 2010 MIS sampled all districts in Kenya, weighting samples by malaria epidemiology, while in 2007, six districts in areas of low or no malaria risk were not included. Second, the 2007 MIS included only children less than fi ve years of age, but this one covered children up through 14 years. v1.1: Data captured as it was collected from the field. v1.2: Cleaned data and validated data Initially the data was in captured using MS-ACCESS, exported to CSpro 4.1 and then exported to SPSS for Analysis Malaria Children health Health Malaria The main objectives of the 2010 KMIS were to measure progress achieved in key malaria indicators since the 2007 KMIS and to provide a baseline for the NMS 2009–2017. The specifi c objectives were: 1. To determine the status of coverage of various key malaria intervention measures (e.g., bed net coverage and use, preventive measures during pregnancy, etc.). 2. To assess the prevalence of malaria among children 3 months to 14 years. 3. To assess the level of anaemia among children 6 months to 14 years. Kenya National coverage Household, Individual, children age 3 months to 14 years, women age 15 to 49 The survey covered all de jure household members (usual residents) and all women aged between 15-49 years. Sample survey data [ssd] The scope of the 2010 Kenya Malaria Indicator Survey includes: - Household: age, sex, relationship to the head of the household, characteristics of the household dwelling, such as the water source; type of toilet facilities; materials used for the roof, floors, and walls; and possession and use of mosquito nets. - Women: background characteristics, reproductive history, use of intermittent preventive treatment (IPT) during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival. Data collection began 18th July and ended 2nd September 2010 with a break of one week in between (1st - 7th August), the field work took approximately 40 days. Kenya National Bureau of Statistics Study Domains The 2010 KMIS was a representative probability sample designed to produce estimates for the specified domains from household populations in Kenya. The level of malaria endemic in Kenya varies from one area to another and can be classified into five malaria endemic regions. These regions, listed below, served as the domains for the survey. 1. Highland epidemic prone 2. Lake endemic 3. Coast endemic 4. Semi-arid, seasonal risk 5. Low risk In addition, the five regions are categorized into either urban or rural areas and implicitly provide two domains for analysis, at the national level. Sampling Frame The sampling frame for 2010 KMIS was the National Sample Survey and Evaluation Programme (NASSEP) IV. The frame is a two-stage stratified cluster sample format. The first stage involved selection of primary sampling units (PSUs), which were census enumeration areas (EAs), using the probability proportional to measure of size method, with the districts as the first level of stratification. The second stage involved the selection of households for various surveys. EAs were selected with a basis of one measure of size (MOS) defined as the ultimate cluster with an average of 100 households and constituting one (or more) EAs. The MOS was defined with a lower limit of 50 households and an upper limit of 149 households. Prior to selection, those EAs with fewer than 50 households were merged with the neighboring ones to form the minimum requirements for the MOS. During listing of selected EAs for the frame, those with more than 149 households were segmented and only one segment randomly picked to constitute a cluster. NASSEP IV has a total of 1,800 clusters with 1,260 being rural areas while the remaining 540 are urban. The frame as undergone regular updates. Sample Size and Allocation The sample size of 7,200 households that was used in the 2007 KMIS was maintained for the 2010 KMIS. The precision for key malaria indicators for populations at greater risk of malaria (pregnant women and children aged five years and below) are important for KMIS. The number of pregnant women, at a given time, is smaller than the number of children aged five and below and, therefore, indicators based on pregnant women are the determinants for the sample size. The allocation of the sample to the domains was done using the power allocation method. This method was appropriate, instead of proportional allocation, to ensure that the domain with the lowest proportion of households was oversampled for valid estimates. Household and Cluster Sampling A fi rst-stage selection involved selection of the clusters by KNBS for the specified domains. The clusters were selected from the NASSEP IV frame with equal probability within each frame stratum. The selection of the clusters was expected to retain the probability proportional to measure of size design used in creation of the frame. A second-stage sampling was conducted at the time of field work using personal digital assistants (PDAs). All households within a cluster were to be listed using PDAs fitted with global positioning units and a simple random sample of 30 households per cluster selected for interviewing. Every attempt was to be made to conduct interviews in the 30 selected households, and up to three visits were expected be made to ascertain compliance in case of absence of all household members (or any household members in the case of malaria parasite testing) to minimize potential bias. Non-responding households were strictly not to be replaced. Further details on the sample design are provided in Appendix A of the final report Face-to-face [f2f] The questionnaires used in the 2010 KMIS were developed by the Roll Back Malaria Monitoring and Evaluation Reference Group (MERG) in collaboration with ICF Macro. The standard questionnaires were adapted to the Kenyan situation and programmed into PDAs by a team from CDC/Atlanta. The questionnaires were fi rst reviewed by the KMIS Technical Working Group and were translated into Kiswahili. All KMIS interviews were done using the PDAs. Two types of questionnaires were used: a Household Questionnaire and a Woman’s Questionnaire. The Household Questionnaire captured information on the usual members and visitors, including age, sex and relationship to the head of the household. One purpose of the Household Questionnaire was to identify women aged 15–49 who were eligible for the individual interviews. The questionnaire also collected information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, materials used for the fl oor, walls and roof of the house, etc. Information on ownership and use of mosquito nets was also collected with the Household Questionnaire. In addition, this questionnaire was used to capture some information on attitudes about malaria and to record the results of the request for doing anaemia and malaria testing on young children. The Woman’s Questionnaire was administered to consenting women aged 15–49 years to collect data on background characteristics, reproductive history, use of intermittent preventive treatment (IPT) during pregnancy for recent births, fever prevalence and treatment among children under fi ve, and knowledge and attitudes regarding malaria and child survival. Training Field staff training for KMIS 2010 was conducted from 7 to 17 July 2010 in Nakuru. A total of 148 participants took part, including 25 team supervisors, 59 research assistants, 56 health workers (28 clinicians and 28 laboratory technologists) and the 8 Provincial Malaria Control Coordinators. Team supervisors and research assistants were trained on the rationale and methodology of KMIS data collection using PDAs and global positioning system technology. Key concepts in household listing, interviewing skills and filling the questionnaires using PDAs were emphasized. Health workers were trained on how to conduct informed consent and specimen collection procedures like preparing blood smears and performing rapid diagnostic tests (RDT) for malaria and anaemia testing. Participants also received refresher training on the management of uncomplicated malaria and referral of complicated malaria cases. As part of the training, the questionnaires were pre-tested in six urban areas in Nakuru that were purposively selected because of their proximity to the training center. The questionnaires were then adapted and finalized for the actual field work. Fieldwork Among the 148 trained field staff, only 128 were selected for final data collection, while 12 were kept as reserves in case of attrition. The remaining eight were Provincial Malaria Control Coordinators who acted as national coordinators during the fieldwork. Twenty-five teams, each comprising one supervisor, two research assistants and two health workers (a clinician and a laboratory technician) constituted the field staff. Teams were each allocated clusters in the different districts in accordance to their local language competency. Each team was assigned a driver and supplied with logistics for the survey activity. The fieldwork was conducted for approximately 40 days with a one-week break at the beginning of August to allow for the national constitutional referendum activities. Prior to the fieldwork, the communities residing in the sampled clusters received information about the KMIS through social mobilization and the mass media. This was necessary to alert the communities about the days of the survey and also that children would be tested for malaria. Taking of blood samples is often a sensitive issue requiring adequate information beforehand to avoid misinformation. The fieldwork commenced on 18 July and after the one-week break (1-7 August) ended on 2 September. Teams spent an average of three days in a cluster with the first day dedicated to mapping the households while the next two days were used to conduct field interviews. Fieldwork was closely supervised by a team of national supervisors from the DOMC including the Provincial Malaria Control Coordinators and KNBS who visited the teams in the field to ensure that the survey was conducted according to the protocol and provide solutions to some of the challenges encountered. The teams were facilitated in the field by KNBS district staff; these included District Statistical Offi cers (DSO) and cluster guides who made sure that the enumeration areas were accurately identifi ed. Village elders were also instrumental in guiding the teams and mobilizing the communities in their respective clusters. There is one supervisor for each of the 25 data collection teams in the field. Sample allocation among the domains was not proportional and therefore, the resulting sample was not self-weighting- Weighting adjustments were done to provide comparable estimates for the domains of study weighting was done using the frame design selection probabilities and adjusted to cater for household and individual non-response and the aggregates weights were normalized and then applied to the data. KMIS data were captured using PDAs fitted with GPS. The questionnaires were programmed into the PDAs and tested before the actual field work. They were then periodically transferred to and saved on the supervisor's PDA in each team and at the end of the data collection were downloaded onto a personal computer for merging and analysis. The data underwent various cleaning processes before analysis. First, the data were corrected for problems in geographic coding by using ArcGIS software to plot the coordinates and identify the misplaced information. The data were further split and merged into various data sets to ease analysis and were converted into SPSS (Statistical Package for Social Science) format. The data sets were then converted into CSPro format and further checks/corrections were made prior to the production of preliminary tabulations. Ninety-three percent of the targeted households were interviewed. The survey yielded response rates of 93 percent and 94 per cent for eligible children and women, respectively. Response rates for children under five reported by interviewed women were lower (74 percent). Response rates are higher in rural areas than in urban areas. A series of sampling errors tables are included: - List of selected variables for sampling errors - Sampling errors for all Kenya - Sampling errors for urban areas - Sampling errors for rural areas - Sampling errors for highland epidemic zone - Sampling errors for lake endemic zone - Sampling errors for coastal endemic zone - Sampling errors for semi-arid, seasonal risk zone - Sampling errors for low risk zone The sampling errors are fully described in Appendix A of "Kenya Malaria Indicator Survey 2010 - Final Report" pp.57-60. The following data quality tables are produced: - Household age distribution - Coverage of testing for malaria and anaemia testing in children - Prevalence of malaria in children aged 3-59 months - Anaemia prevalence among children aged 6-59 months See the tables in Appendix D of the final report. MEASURE DHS "Kenya National Bureau of Statistics, 2010 Kenya Malaria Indicator Survey (KMIS 2010), Version 1.2, provided by the Kenya National Data Archive. http://statistics.knbs.or.ke/nada/index.php/catalog" DISSEMINATION POLICY MEASURE DHS believes that widespread access to survey data by responsible researchers has enormous advantages for the countries concerned and the international community in general. Therefore, MEASURE DHS policy is to release survey data to researchers after the main survey report is published, generally within 12 months after the end of fieldwork. with few limitations these data have been made available for wide use. DISTRIBUTION OF DATASETS MEASURE DHS is authorized to distribute, at no cost, unrestricted survey data files for legitimate academic research, with the condition that we receive a description of any research project that will be using the data. Registration is required for access to data. 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More information on the access policy and terms of use is available at www.measuredhs.com 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. HH_Identification (Household Identification) Household characteristics, particularly children in household. 0 15 HHOLD_SCHEDULE Household characteristics, particularly children in household. 0 15 HHOLD_CHARACTERISTICS Household amenities, particularly mosquito nets. 0 35 MOSQUITO_NETS Characteristics of household mosquito nets. 0 30 MALARIA_ALTITUDE Mosquito nets and risk for malaria. 0 11 WEIGHT_HEIGHT_HEMOGLOBIN_CHILDREN Mothers and children health. 0 39 IND_IDENTIFICATION Household and individual identification. 0 14 RESPONDENTS_BACKGROUND Individual characteristics. 0 17 REPRODUCTION Mothers fertility history. 0 13 sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Line number of member Line number of member Line number of member Line number of member Line number of member Please give me the names of the persons who usually live in your NUMhousehold and guests of the household who stayed here last night, CHILDstarting with the head of the household. Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head What is the relation- ship of (NAME) to the head of the house- hold? 1 Head 2 Wife or husband 3 Son, daughter 4 Son-in-law, daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother, sister 9 Other relative 10 Adopted/foster/step child 11 Not related 98 DK Sex of household member Sex of household member Sex of household member Sex of household member Sex of household member Is (NAME) male or female? 1 Male 2 Female Usual resident Usual resident Usual resident Usual resident Usual resident Does (NAME) usually live here? 1 Yes 2 No Slept last night Slept last night Slept last night Slept last night Slept last night Did (NAME) stay here last night? 1 Yes 2 No Age of household members Age of household members Age of household members Age of household members Age of household members How old is (NAME)? 96 96+ 98 DK Eligibility for interview Eligibility for interview Eligibility for interview Eligibility for interview Eligibility for interview Not eligible Pregnancy Pregnancy Pregnancy Pregnancy Pregnancy Is (NAME) currently pregnant? 1 Yes 2 No 8 DK Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Not eligible Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire 97 97+ 98 DK Flag for age correction Flag for age correction Flag for age correction Flag for age correction Flag for age correction No data from individual questionnaire 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire No, don't know 1 Yes PersonID PersonID PersonID PersonID PersonID sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Line number of member Line number of member Line number of member Line number of member Line number of member Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head 1 Head 2 Wife or husband 3 Son, daughter 4 Son-in-law, daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother, sister 9 Other relative 10 Adopted/foster/step child 11 Not related 98 DK Sex of household member Sex of household member Sex of household member Sex of household member Sex of household member 1 Male 2 Female Usual resident Usual resident Usual resident Usual resident Usual resident 1 Yes 2 No Slept last night Slept last night Slept last night Slept last night Slept last night 1 Yes 2 No Age of household members Age of household members Age of household members Age of household members Age of household members 96 96+ 98 DK Eligibility for interview Eligibility for interview Eligibility for interview Eligibility for interview Eligibility for interview Not eligible Pregnancy Pregnancy Pregnancy Pregnancy Pregnancy 1 Yes 2 No 8 DK Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Child's eligibility for interview Not eligible Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire Age corrected from individual questionnaire 97 97+ 98 DK Flag for age correction Flag for age correction Flag for age correction Flag for age correction Flag for age correction No data from individual questionnaire 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire Pregnancy status from individual questionnaire No, don't know 1 Yes PersonID PersonID PersonID PersonID PersonID sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Source of drinking water Source of drinking water Source of drinking water Source of drinking water Source of drinking water What is the main source of drinking water for members of your household? 11 Piped into dwelling 12 Piped into compound/plot 13 Public tap 14 Borehole 21 Open well in compound/plot 31 Open public well 32 Covered well in compound/plot 41 Rainwater 42 Bottled water 51 Covered public well 61 Spring 71 River/Stream 81 Pond/Lake 91 Other 96 Dam Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility What kind of toilet facility do members of your household usually use? 11 Flush 12 Traditional pit 13 Ventilated improved latrine 61 No facility 96 Other Clock/Watch Clock/Watch Clock/Watch Clock/Watch Clock/Watch Does your household have: 1 Yes 2 No Electricity Electricity Electricity Electricity Electricity Does your household have: 1 Yes 2 No Radio Radio Radio Radio Radio Does your household have: 1 Yes 2 No Television Television Television Television Television Does your household have: 1 Yes 2 No Mobile telephone Mobile telephone Mobile telephone Mobile telephone Mobile telephone Does your household have: 1 Yes 2 No Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) Does your household have: 1 Yes 2 No Refrigerator Refrigerator Refrigerator Refrigerator Refrigerator Does your household have: 1 Yes 2 No Solar Panel Solar Panel Solar Panel Solar Panel Solar Panel Does your household have: 1 Yes 2 No Fan Fan Fan Fan Fan Does your household have: 1 Yes 2 No Sewing machine Sewing machine Sewing machine Sewing machine Sewing machine Does your household have: 1 Yes 2 No Cassette player Cassette player Cassette player Cassette player Cassette player Does your household have: 1 Yes 2 No Plough Plough Plough Plough Plough Does your household have: 1 Yes 2 No Grain grinder Grain grinder Grain grinder Grain grinder Grain grinder Does your household have: 1 Yes 2 No VCR/DVD VCR/DVD VCR/DVD VCR/DVD VCR/DVD Does your household have: 1 Yes 2 No Tractor Tractor Tractor Tractor Tractor Does your household have: 1 Yes 2 No Hammer Mill Hammer Mill Hammer Mill Hammer Mill Hammer Mill Does your household have: 1 Yes 2 No Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel What type of fuel does your household mainly use for cooking? 1 Electricity 2 LPG 3 Biogas 4 Kerosene 5 Coal, lignite 6 Charcoal 7 Wood / Straw / shrubs / grass 8 Animal dung 9 No food cooked in HH 96 Other Main material of floor Main material of floor Main material of floor Main material of floor Main material of floor MAIN MATERIAL OF THE FLOOR. 11 Earth, sand 12 Dung 21 Wood planks 22 Palm, bamboo 31 Parquet, polished wood 32 Vinyl, asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main roof material Main roof material Main roof material Main roof material Main roof material MAIN MATERIAL OF THE ROOF. 11 Thatch/Leaf 12 Sticks and mud 21 Rustic mat/plastic sheet 22 Reed/bamboo 23 Wood planks 31 Corrugated iron 32 Wood 33 Calamine/cement fiber 34 Cement/concrete 35 Roofing shingles 96 Other Main wall material Main wall material Main wall material Main wall material Main wall material MAIN MATERIAL OF THE WALLS. 11 No walls 12 Cane / palm / trunks 13 Dirt 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Carton 26 Reused wood 31 Cement 32 Stone with lime / cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks / shingles 96 Other Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping How many rooms in this household are used for sleeping? Bicycle Bicycle Bicycle Bicycle Bicycle Does any member of this household own: 1 Yes 2 No Motorcycle, motor scooter Motorcycle, motor scooter Motorcycle, motor scooter Motorcycle, motor scooter Motorcycle, motor scooter Does any member of this household own: 1 Yes 2 No Animal drawn cart Animal drawn cart Animal drawn cart Animal drawn cart Animal drawn cart Does any member of this household own: 1 Yes 2 No Car/ truck OR boat with motor Car/ truck OR boat with motor Car/ truck OR boat with motor Car/ truck OR boat with motor Car/ truck OR boat with motor Does any member of this household own: 1 Yes 2 No Dwelling sprayed last 12 months Dwelling sprayed last 12 months Dwelling sprayed last 12 months Dwelling sprayed last 12 months Dwelling sprayed last 12 months At any time in the past 12 months, has anyone come into your dwelling to spray the inside walls against mosquitoes to control malaria? 1 Yes 2 No 8 DK Months ago the house was sprayed Months ago the house was sprayed Months ago the house was sprayed Months ago the house was sprayed Months ago the house was sprayed How many months ago was the house sprayed? Less than 1 month Who sprayed the house (CS) Who sprayed the house (CS) Who sprayed the house (CS) Who sprayed the house (CS) Who sprayed the house (CS) Who sprayed the house? 1 Government worker/program 2 Private company 3 Household member 6 Other 8 Don't know Mosquito nets used while sleeping Mosquito nets used while sleeping Mosquito nets used while sleeping Mosquito nets used while sleeping Mosquito nets used while sleeping Does your household have any mosquito nets that can be used while sleeping? 1 Yes 2 No Number of mosquito nets Number of mosquito nets Number of mosquito nets Number of mosquito nets Number of mosquito nets How many mosquito nets does your household have? BOTH car/truck AND boat with motor BOTH car/truck AND boat with motor BOTH car/truck AND boat with motor BOTH car/truck AND boat with motor BOTH car/truck AND boat with motor Does any member of this household own: 1 Yes 2 No sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Net number Net number Net number Net number Net number Shown Net Shown Net Shown Net Shown Net Shown Net ASK THE RESPONDENT TO SHOW YOU THE NETS IN THE HOUSEHOLD. 1 Observed 2 Not observed How long ago household obtain net How long ago household obtain net How long ago household obtain net How long ago household obtain net How long ago household obtain net How many months ago did your household obtain the mosquito net? 95 37 or more months 98 Don't know Place got the net Place got the net Place got the net Place got the net Place got the net Where did your household get this net? 11 Government Campaign 12 Government Clinic/Hospital 13 Other Clinic/Hospital 14 Neighborhood 15 Health Committee 16 Community health worker 17 Agent/NGO 18 Retail shop 19 Pharmacy 20 Workplace 96 Other 98 Don't know Net brand name Net brand name Net brand name Net brand name Net brand name OBSERVE OR ASK THE BRAND/ TYPE OF MOSQUITO NET. 11 Permanet 12 Olyset 13 PermaNet 14 Supanet Extra 15 Olyset (UNICEF) 16 Other Permanent/Don't know 21 Kinga net 22 Supanet 23 Unbranded rural net 24 Safinet 26 Other Pretreated/Don't know 31 Other 32 Unbranded 98 Don't know brand Net treated with chemical when obtained Net treated with chemical when obtained Net treated with chemical when obtained Net treated with chemical when obtained Net treated with chemical when obtained When you got the net, was it already treated with an insecticide? 1 Yes 2 No 8 Not sure Net ever soaked or dipped in chemical since obtained Net ever soaked or dipped in chemical since obtained Net ever soaked or dipped in chemical since obtained Net ever soaked or dipped in chemical since obtained Net ever soaked or dipped in chemical since obtained Since you got the mosquito net, was it ever soaked or dipped in a liquid? 1 Yes 2 No 8 Not sure How long ago was net last soaked How long ago was net last soaked How long ago was net last soaked How long ago was net last soaked How long ago was net last soaked How many months ago was the net last soaked or dipped? 95 25 or more months ago 98 Not sure Last time treated with a liquid from a packet Last time treated with a liquid from a packet Last time treated with a liquid from a packet Last time treated with a liquid from a packet Last time treated with a liquid from a packet The last time the net was treated, was a liquid from a packet like this added to the treatment solution? 1 Yes 2 No 8 Not sure Last time treated during campaign Last time treated during campaign Last time treated during campaign Last time treated during campaign Last time treated during campaign The last time the net was treated, was it treated as part of a net retreatment campaign? 1 Yes 2 No 8 Not sure Anyone sleep under this net last night Anyone sleep under this net last night Anyone sleep under this net last night Anyone sleep under this net last night Anyone sleep under this net last night Did anyone sleep under this mosquito net last night? 1 Yes 2 No 8 Not sure Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Who slept under this mosquito net last night? 99 Missing Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Who slept under this mosquito net last night? No more Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Who slept under this mosquito net last night? No more Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Who slept under this mosquito net last night? No more Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Who slept under this mosquito net last night? No more Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Who slept under this mosquito net last night? No more Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Who slept under this mosquito net last night? No more NetID NetID NetID NetID NetID Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Line No. of 1st person who slept under net Who slept under this mosquito net last night? Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Line No. of 2nd person who slept under net Who slept under this mosquito net last night? Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Line No. of 3rd person who slept under net Who slept under this mosquito net last night? Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Line No. of 4th person who slept under net Who slept under this mosquito net last night? Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Line No. of 5th person who slept under net Who slept under this mosquito net last night? Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Line No. of 6th person who slept under net Who slept under this mosquito net last night? Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Line No. of 7th person who slept under net Who slept under this mosquito net last night? ITN net ITN net ITN net ITN net ITN net No, don't know 1 Yes LLIN net LLIN net LLIN net LLIN net LLIN net No, don't know 1 Yes sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Net color Net color Net color Net color Net color Which color of net would you prefer: blue or white or green? 10 Green 20 Blue 30 Red 40 White 50 Black 96 Other Net shape Net shape Net shape Net shape Net shape Which shape of net would you prefer: conical or rectangular? 10 Conical 20 Rectangular 96 Other Can hang a mosquito net Can hang a mosquito net Can hang a mosquito net Can hang a mosquito net Can hang a mosquito net How confident are you that you can hang a mosquito net in your household: are you extremely confident, very confident, a little confident, or not at all confident? 1 Extremely confident 2 Very confident 3 A little confident 4 Not at all confident 98 ? Imporatnce of sleeping under a net for children Imporatnce of sleeping under a net for children Imporatnce of sleeping under a net for children Imporatnce of sleeping under a net for children Imporatnce of sleeping under a net for children How important do you think it is for young children to sleep under a treated net: is it extremely important, very important, a little important, or not at all important? 1 Extremely confident 2 Very confident 3 A little confident 4 Not at all confident 98 ? How frequently uses a mosquito net How frequently uses a mosquito net How frequently uses a mosquito net How frequently uses a mosquito net How frequently uses a mosquito net How frequently do you use mosquito nets for other things besides sleeping under: all the time, sometimes, rarely, or never? 1 All the time 2 Sometimes 3 Rarely 4 Never 98 Don't know Treated net safe to sleep under Treated net safe to sleep under Treated net safe to sleep under Treated net safe to sleep under Treated net safe to sleep under Now I would like to ask your opinion about some issues. I'm going to read some statements and I would like you tell me if you agree strongly, agree somewhat, disagree somewhat or disagree strongly. Treated nets are safe to sleep under. Do you strongly agree, somewhat agree, somewhat disagree, or strongly disagree? 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 98 Don't know Most people sleep under a ITN every night Most people sleep under a ITN every night Most people sleep under a ITN every night Most people sleep under a ITN every night Most people sleep under a ITN every night Most people in this community sleep under an insecticide-treated net every night. Do you strongly agree, somewhat agree, somewhat disagree, or strongly disagree? 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 98 Don't know Can hang a net anywhere Can hang a net anywhere Can hang a net anywhere Can hang a net anywhere Can hang a net anywhere You can hang a net any place people sleep in your house. Do you strongly agree, somewhat agree, somewhat disagree, or strongly disagree? 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 98 Don't know Malaria risk during rainy season Malaria risk during rainy season Malaria risk during rainy season Malaria risk during rainy season Malaria risk during rainy season People are at risk of getting malaria only during the rainy season. Do you strongly agree, somewhat agree, somewhat disagree, or strongly disagree? 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 98 Don't know sea_id sea_id sea_id sea_id sea_id HouseID HouseID HouseID HouseID HouseID Line number Line number Line number Line number Line number Line number in household schedule Line number in household schedule Line number in household schedule Line number in household schedule Line number in household schedule 1 Head of household Day of birth Day of birth Day of birth Day of birth Day of birth What is (NAME'S) birth date? 98 DK Month of birth Month of birth Month of birth Month of birth Month of birth What is (NAME'S) birth date? 97 Inconsistent 98 DK Year of birth Year of birth Year of birth Year of birth Year of birth What is (NAME'S) birth date? 9997 Inconsistent 9998 DK Child born in 1995 or later Child born in 1995 or later Child born in 1995 or later Child born in 1995 or later Child born in 1995 or later CHILD BORN IN JANUARY 1995 OR LATER? 1 Yes 2 No Born in month of interview or previous 2 months Born in month of interview or previous 2 months Born in month of interview or previous 2 months Born in month of interview or previous 2 months Born in month of interview or previous 2 months IS CHILD AGE 0-2 MONTHS, I.E., WAS CHILD BORN IN MONTH OF INTERVIEW OR TWO PREVIOUS MONTHS? 1 Yes 2 No Line no. of parent/caretaker Line no. of parent/caretaker Line no. of parent/caretaker Line no. of parent/caretaker Line no. of parent/caretaker Read consent statement - Anaemia Read consent statement - Anaemia Read consent statement - Anaemia Read consent statement - Anaemia Read consent statement - Anaemia 1 Granted 2 Refused Read consent statement - Malaria Read consent statement - Malaria Read consent statement - Malaria Read consent statement - Malaria Read consent statement - Malaria 1 Granted 2 Refused Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) RECORD RESPONSE CODE OF ANAEMIA TEST. 1 Measured 2 Not present 3 Refused 6 Other Hemoglobin level (g/dl) Hemoglobin level (g/dl) Hemoglobin level (g/dl) Hemoglobin level (g/dl) Hemoglobin level (g/dl) RECORD HEMOGLOBIN LEVEL HERE AND IN THE ANEMIA PAMPHLET. Result of measuring (Malaria) Result of measuring (Malaria) Result of measuring (Malaria) Result of measuring (Malaria) Result of measuring (Malaria) RECORD RESPONSE CODE OF MALARIA TEST 1 Measured 2 Not present 3 Refused 6 Other Bar Code Bar Code Bar Code Bar Code Bar Code BAR CODE LABEL PASTE BAR CODE HERE AND ON SLIDES AND ON TRANSMITTAL FORM. Malaria result Malaria result Malaria result Malaria result Malaria result RESULT OF MALARIA TEST 1 Positive 2 Negative 6 Other Malaria treatment Malaria treatment Malaria treatment Malaria treatment Malaria treatment READ INFORMATION FOR MALARIA TREATMENT AND CONSENT STATEMENT TO PARENT OR OTHER ADULT RESPONSIBLE FOR THE CHILD. ASK ABOUT ANY TREATMENT THE CHILD HAS ALREADY RECEIVED. 1 Accepted medicine 2 Refused 3 Already has ACT 4 Not eligible 6 Other Child's CMC of birth Child's CMC of birth Child's CMC of birth Child's CMC of birth Child's CMC of birth Date flag for child's date of birth Date flag for child's date of birth Date flag for child's date of birth Date flag for child's date of birth Date flag for child's date of birth 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Imputed month of birth Imputed month of birth Imputed month of birth Imputed month of birth Imputed month of birth Child's year of birth Child's year of birth Child's year of birth Child's year of birth Child's year of birth Mother's line number from individual questionnaire Mother's line number from individual questionnaire Mother's line number from individual questionnaire Mother's line number from individual questionnaire Mother's line number from individual questionnaire 993 Mother not de facto member 994 Incomplete interview 995 Not in household 996 Not in woman's BH Birth order of child Birth order of child Birth order of child Birth order of child Birth order of child Birth interval Birth interval Birth interval Birth interval Birth interval Mother's highest educational level Mother's highest educational level Mother's highest educational level Mother's highest educational level Mother's highest educational level none 1 Nursery/Kindergarten 2 Primary 3 Post-Primary/Vocational 4 Secondary/ 'A' level 5 College (Middle level) 6 University Mother's highest grade at that level Mother's highest grade at that level Mother's highest grade at that level Mother's highest grade at that level Mother's highest grade at that level Mother's highest educational level (CS for preliminary & final report) Mother's highest educational level (CS for preliminary & final report) Mother's highest educational level (CS for preliminary & final report) Mother's highest educational level (CS for preliminary & final report) Mother's highest educational level (CS for preliminary & final report) No education 1 Primary incomplete 2 Primary complete 3 Secondary incomplete 4 Secondary complete 5 Higher ID in household schedule ID in household schedule ID in household schedule ID in household schedule ID in household schedule ID no. of parent/caretaker ID no. of parent/caretaker ID no. of parent/caretaker ID no. of parent/caretaker ID no. of parent/caretaker Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Result of measuring (Hemoglobin) Measured 3 Not present 4 Refused 6 Other Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Anemia level Anemia level Anemia level Anemia level Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Negative 1 Positive Result of malaria measurement Result of malaria measurement Result of malaria measurement Result of malaria measurement Result of malaria measurement Measured 3 Not present 4 Refused 6 Other Result of malaria paracheck test (rapid test) Result of malaria paracheck test (rapid test) Result of malaria paracheck test (rapid test) Result of malaria paracheck test (rapid test) Result of malaria paracheck test (rapid test) Negative 1 Positive Lab result (pos/neg/not read) Lab result (pos/neg/not read) Lab result (pos/neg/not read) Lab result (pos/neg/not read) Lab result (pos/neg/not read) Negative 1 Positive 8 Not read Species ID Species ID Species ID Species ID Species ID Negative 1 Pf 2 Pf/Pm 3 Pf/Pm/Po 4 Pf/Po 5 Pm 6 Po 8 Not read Density Density Density Density Density Negative 999998 Not read Line number of woman Line number of woman Line number of woman Line number of woman Line number of woman Cluster number Cluster number Cluster number Cluster number Cluster number Household number Household number Household number Household number Household number Region of residence Region of residence Region of residence Region of residence Region of residence 1 NBO 2 Central 3 Coast 4 Eastern 5 N/Eastern 6 Nyanza 7 R/Valley 8 Western City\Town\Countryside City\Town\Countryside City\Town\Countryside City\Town\Countryside City\Town\Countryside 1 Large city 2 Small city 3 Town 4 Rural Date of interview Date of interview Date of interview Date of interview Date of interview Interviewer number Interviewer number Interviewer number Interviewer number Interviewer number Result of individual interview Result of individual interview Result of individual interview Result of individual interview Result of individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partly completed 6 Incapacitated 7 Other Total number of visits Total number of visits Total number of visits Total number of visits Total number of visits Supervisor number Supervisor number Supervisor number Supervisor number Supervisor number Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Type of place of residence Type of place of residence Type of place of residence Type of place of residence Type of place of residence 1 Urban 2 Rural original line number original line number original line number original line number original line number Line number of woman Line number of woman Line number of woman Line number of woman Line number of woman Start of interview Start of interview Start of interview Start of interview Start of interview Date of birth Date of birth Date of birth Date of birth Date of birth In what month and year were you born? Current age of respondent Current age of respondent Current age of respondent Current age of respondent Current age of respondent How old are you? 97 Inconsistent 98 DK Ever attended school Ever attended school Ever attended school Ever attended school Ever attended school Have you ever attended school? 1 Yes 2 No Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level What is the highest level of school you attended: primary, vocational, secondary, or higher? none 1 Nursery/Kindergarten 2 Primary 3 Post-Primary/Vocational 4 Secondary/ 'A' level 5 College (Middle level) 6 University Highest grade at that level Highest grade at that level Highest grade at that level Highest grade at that level Highest grade at that level What is the highest (standard/class/year) you completed at that level? Sentence read Sentence read Sentence read Sentence read Sentence read 1 Cannot read at all 2 Read only parts of sentence 3 Read whole sentence 4 No card with required language 5 Blind/visually impaired Religion Religion Religion Religion Religion What is your religion? 11 Roman Catholic 21 Protestant/Other Christian 31 Muslim 41 No religion 98 DK 99 Other (specify) Ethnicity Ethnicity Ethnicity Ethnicity Ethnicity What is your ethnic group/tribe? 1 Embu 2 Kalenjin 3 Kamba 4 Kikuyu 5 Kisii 6 Luhya 7 Luo 8 Masai 9 Meru 10 Mijikenda/ Swahili 11 Somali 12 Taita/ Taveta 96 Other Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date flag for Q102C Date flag for Q102C Date flag for Q102C Date flag for Q102C Date flag for Q102C 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Age of respondent calculated Age of respondent calculated Age of respondent calculated Age of respondent calculated Age of respondent calculated Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level No education 1 Primary incomplete 2 Primary complete 3 Secondary incomplete 4 Secondary complete 5 Higher Age Age Age Age Age 1 15-19 2 20-24 3 25-29 4 30-34 5 35-39 6 40-44 7 45-49 Imputed month of birth Imputed month of birth Imputed month of birth Imputed month of birth Imputed month of birth Imputed year of birth Imputed year of birth Imputed year of birth Imputed year of birth Imputed year of birth Line number of woman Line number of woman Line number of woman Line number of woman Line number of woman Ever given birth Ever given birth Ever given birth Ever given birth Ever given birth Have you ever given birth? 1 Yes 2 No Sons or daughters living with Sons or daughters living with Sons or daughters living with Sons or daughters living with Sons or daughters living with Do you have any sons or daughters to whom you have given birth who are now living with you? 1 Yes 2 No Sons at home Sons at home Sons at home Sons at home Sons at home How many sons live with you? Daughters at home Daughters at home Daughters at home Daughters at home Daughters at home And how many daughters live with you? Sons or daughters living away Sons or daughters living away Sons or daughters living away Sons or daughters living away Sons or daughters living away Do you have any sons or daughters to whom you have given birth who are alive but do not live with you? 1 Yes 2 No Sons living elsewhere Sons living elsewhere Sons living elsewhere Sons living elsewhere Sons living elsewhere How many sons are alive but do not live with you? Daughters living elsewhere Daughters living elsewhere Daughters living elsewhere Daughters living elsewhere Daughters living elsewhere And how many daughters are alive but do not live with you? Sons or daughters who died Sons or daughters who died Sons or daughters who died Sons or daughters who died Sons or daughters who died Have you ever given birth to a boy or girl who was born alive but later died? 1 Yes 2 No Boys who died Boys who died Boys who died Boys who died Boys who died How many y boys have died? Girls who died Girls who died Girls who died Girls who died Girls who died And how many girls have died? Total children ever born Total children ever born Total children ever born Total children ever born Total children ever born Births in BH Births in BH Births in BH Births in BH Births in BH