Identification
Survey ID Number
KEN-KNBS-KMIS-2010-V0.1
Title
Kenya Malaria Indicator Survey 2010
Country
| Name | Country code |
|---|---|
| Kenya | KEN |
Study type
Other Household Health Survey [Malaria Survey]
Series Information
Kenya Malaria Indicator Survey done in 2010 and had been done prvesioly in 2007
Abstract
The 2010 Kenya Malaria Indicator Survey (KMIS) was designed to assess the global Roll Back Malaria targets which were adopted in the national Malaria Strategy(NMS) 2009-2017 (DOMC, 2009),
Specific objectives were:
To determine the status of coverage of various key malaria interventions measures, assess the prevalence of malaria among children 3 months to 14 years, assess the level of anaemia among children 6 months to 14 years. A sample of of 7,200 households was selected to be a representative of the entire population in Kenya.The design for the survey used a representative probability sample to produce estimates for four malaria epidemiological zones with the edemic zones divided into lake endemic and coast endemic to make five zones:
1. Highland epidemic - prone
2. Lake endemic
3. Coast endemic
4. Seasonal risk/Semi-arid
5. Low risk.
Specific objectives were:
To determine the status of coverage of various key malaria interventions measures, assess the prevalence of malaria among children 3 months to 14 years, assess the level of anaemia among children 6 months to 14 years. A sample of of 7,200 households was selected to be a representative of the entire population in Kenya.The design for the survey used a representative probability sample to produce estimates for four malaria epidemiological zones with the edemic zones divided into lake endemic and coast endemic to make five zones:
1. Highland epidemic - prone
2. Lake endemic
3. Coast endemic
4. Seasonal risk/Semi-arid
5. Low risk.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Two types of questionnairs were used:
A household questionnaire; the unit of analysis is the household and captured information on usual members & visitors and household characteristics.
The woman's questionnaire whose unit of analysis is individual women targeting women aged 15 - 49 years.
A household questionnaire; the unit of analysis is the household and captured information on usual members & visitors and household characteristics.
The woman's questionnaire whose unit of analysis is individual women targeting women aged 15 - 49 years.
Version
Version Description
- v1.1: Data captured as it was collected from the field.
- v1.2: Cleaned data and validated data
- v1.2: Cleaned data and validated data
Version Notes
Initially the data was in captured using MS-ACCESS, exported to CSpro 4.
1 and then exported to SPSS for Analysis
1 and then exported to SPSS for Analysis
Scope
Notes
HOUSEHOLD: Household characteristics, Assess the prevalence of malaria among children 3 months to 14 years, Assess the level of anaemia among children 6 months to 14 years. Mosquito Net usage by defacto members of the household,The woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival.
Keywords
| Keyword | Vocabulary |
|---|---|
| Artemisinin-based combination therapy | ACT |
| Affordable Medicines Facility for malaria | AMFM |
| Artemether-lumefantrine | AL |
| Antenatal care | ANC |
| Centers for Disease Control and Prevention | CDC |
| Constituencies Development Fund | CDF |
| Community Health Strategy | CHS |
| Stayed in the sampled household the night before the survey | De facto |
| De jure Usual member of household, regardless of presence at the time of the survey | De jure |
| (United Kingdom) Department for International Development | DFID |
| District Health Stakeholders Forum | DHSF |
| Division of Malaria Control | DOMC |
| Enumeration area | EA |
| El Niño southern oscillation | ENSO |
| Economic Recovery Strategy | ERS |
| Grams per decilitre | g/dl |
| Gross domestic product | GDP |
| Global Fund to Fight AIDS, TB and Malaria | GFATM |
| Global positioning system | GPS |
| Haemoglobin | Hb |
| Household | HH |
| Intermittent preventive treatment in Intermittent preventive treatment in pregnancy | IPTp |
| Indoor residual spraying | IRS |
| Insecticide-treated net | ITN |
| Integrated vector management | IVM |
| Kenya Demographic and Health Survey | KDHS |
| Kenya Medical Research Institute | KEMRI |
| Kenya Essential Package for Health | KEPH |
| Kenya Malaria Indicator Survey | KMIS |
| Kenya National Bureau of Statistics | KNBS |
| Long-lasting insecticidal net | LLIN |
| Millennium Development Goals | MDGs |
| Ministry of Public Health and Sanitation | MOPHS |
| Malaria treatment guidelines | MTG |
| Medium Term Plan | MTP |
| National Sample Survey and Evaluation National Sample Survey and Evaluation Programme | NASSEP |
| National Coordinating Agency for Population and Development | NCAPD |
| Second National Health Sector Strategic Plan 2005–2010 (extended to 2012) | NHSSP II |
| National Malaria Strategy | NMS |
| Personal digital assistant | PDA |
| US President’s Malaria Initiative | PMI |
| Population Services International | PSI |
| Rapid diagnostic tests | RDT |
| Sulphadoxine or sulphalene-pyrimethamine | SP |
| United Nations Children’s Fund | UNICEF |
| World Health Organization | WHO |
Coverage
Geographic Coverage
It was a National survey covering five zones
1. Highland epidemic - prone
2. Lake endemic
3. Coast endemic
4. Seasonal risk/Semi-arid
5. Low risk.
The survey used National Sample Survey and Evaluation Programme (NASSEP) IV sampling frame, the frame was nationally representative and was developed by the KNBS after the 1999 Census. A sample of 240 clusters was selected with a uniform sample 30 households allocated to each cluster.
7200 household were designed to produce estimates of most of the key malaria indicators including the prevalence of anaemia in children 6 months through 14 years for the specified domain.
1. Highland epidemic - prone
2. Lake endemic
3. Coast endemic
4. Seasonal risk/Semi-arid
5. Low risk.
The survey used National Sample Survey and Evaluation Programme (NASSEP) IV sampling frame, the frame was nationally representative and was developed by the KNBS after the 1999 Census. A sample of 240 clusters was selected with a uniform sample 30 households allocated to each cluster.
7200 household were designed to produce estimates of most of the key malaria indicators including the prevalence of anaemia in children 6 months through 14 years for the specified domain.
Universe
A household questionnaire captured information on usual members & visitors, including age, sex and relationship to head and also household characteristics.
The woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival.
The woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Kenya National Bureau of Statistics | |
| Division of Malaria Control | Ministry of Public Health and Sanitation |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Kenya National Bureau of Stataistics | Data collection logistics | |
| Department of Malaria Control | Ministry of Public Health and sanitation | Administrative |
| World Health Organization | Technical Assistance | |
| Center for Disease Control and Prevention | Technical Assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United Kingdom Department for Internation International Development | DFID | Funding |
| United states President's Malaria Initiative | PMU | Funding |
| United Nations Children's Fund | UNICEF | Funding |
Sampling
Sampling Procedure
2010 KMIS used the National Sample Survey and Evaluation Programme (NASSEP) IV sampling frame. The design for the survey used a representative probability sample to produce estimates for the four malaria epidemiological zones.
In each zone, clusters were categorized in into urban and rural areas providing two implicit domains for analysis at the national level.
The frame is nationally representative and was developed by KNBS after the 1999 Census to support two - stage cluster sample surveyss. The first stage sampling process involved selection of enumeration ares (EAs) and creation of 1,800 clusters with probability proportional to measure of size with the districs at the as the first level of stratification.
From the national frame a sample of 240 clusters were selected for the 2010 KMIS with a uniform sample of 30 households allocated to each cluster to make a representative sample. 7,200 households were drawn to provide estimates of most of the key malaeria indicators.
In each zone, clusters were categorized in into urban and rural areas providing two implicit domains for analysis at the national level.
The frame is nationally representative and was developed by KNBS after the 1999 Census to support two - stage cluster sample surveyss. The first stage sampling process involved selection of enumeration ares (EAs) and creation of 1,800 clusters with probability proportional to measure of size with the districs at the as the first level of stratification.
From the national frame a sample of 240 clusters were selected for the 2010 KMIS with a uniform sample of 30 households allocated to each cluster to make a representative sample. 7,200 households were drawn to provide estimates of most of the key malaeria indicators.
Weighting
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.
Calculation of Weights
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.
Calculation of Weights
Data Collection
Dates of Data Collection
| Start |
|---|
| 2010 |
Data Collection Mode
The 2010 - KMIS employed oral interviews recording the answers on questionnaire, two types of questionnaires were used; a household questionnaire and a Woman's questionnaire,the questionnaires were programmed into PDAs and the answered were keyed in directily into the PDA. Three biomarkers were used for testing:
(1) Taking finger - prick blood samples from children aged 6 months through 14 years (2) to perform a rapid malaria test (3) to prepare thick and thin blood smears that were read in the laboratory to determine malaria parastaemia.
(1) Taking finger - prick blood samples from children aged 6 months through 14 years (2) to perform a rapid malaria test (3) to prepare thick and thin blood smears that were read in the laboratory to determine malaria parastaemia.
Access policy
Contacts
| Name | URL | |
|---|---|---|
| Director General | directorgeneral@knbs.or.ke | www.knbs.or.ke |
Metadata production
DDI Document ID
KMIS-2010
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Division Of Malarial Control | DOMC | Ministry of Public Health and Santation | Production |
| Kenya National Bureau of Statistics | KNBS | Production | |
| ICF Macro | ICF | Production |
Date of Metadata Production
2012-08-02