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.
Datasets are available for download to all registered users, free of charge. To download datasets, you must first register online and request the country(ies) and datasets that you are interested in. When submitting a dataset request, users must include a brief description of how the data will be used.
DATASETS TERMS OF USE
Datasets are made available with the following conditions:
- Survey data files are distributed by MEASURE DHS for academic research/statistical analysis. Researchers need to provide a description of any research/analysis that will be using the data, before access is granted to the datasets.
- Once downloaded, the datasets must not be passed on to other researchers without the written consent of MEASURE DHS.
- All reports and publications based on the requested data must be sent to the MEASURE DHS Data Archive as a Portable Format Document (pdf) or a hard copy, for us to forward to the country(ies) whose data have been used.
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