Identification
Survey ID Number
KEN-KNBS-KNHA-2007-v01
Title
Kenya National Health Account 2007
Country
| Name | Country code |
|---|---|
| Kenya | Ke |
Study type
Administrative Records, Health (ad/hea]
Series Information
The Kenya National Health Account survey was first conducted for the financial years 1994/95, then in 2001/02 followed by 2005/06, which was conducted in the year 2007.
Abstract
National Health Accounts (NHA) is an internationally recognised method used to track expenditures in a health system for a specified period of time. Specifically, NHA details the flow of funding from financial sources (e.g., donors, Ministry of Finance), to financing agents (i.e., those who manage the funds, such as
the Ministry of Health [MoH] or nongovernmental organisations [NGOs]), to providers (e.g., public and private facilities) and finally to end users (e.g., inpatient and outpatient care, pharmaceuticals).
Actual expenditures, rather than budget inputs, are used to fill a series of tables that show the flow of funding through the health sector. NHA also provides detailed breakdowns of disease-specific expenditures such as those for HIV/AIDS and reproductive health (RH). NHA is designed to be used as a policy tool to facilitate the implementation of health system goals.
This report describes findings from the third round of NHA in Kenya.
The first two estimations covered financial years (FYs) 1994/95 and 2001/02, respectively. This third round, undertaken in 2007 and covering 2005/06 was implemented by the MoH and Kenya National Bureau of Statistics (KNBS) with financial support from the United States Agency for International Development (USAID). USAID’s
Health Systems 20/20 Project, led by Abt Associates Inc., provided technical support. The findings will be used as a platform for informing policy decisions concerning resource allocation and will also be used by stakeholders in the sector.
the Ministry of Health [MoH] or nongovernmental organisations [NGOs]), to providers (e.g., public and private facilities) and finally to end users (e.g., inpatient and outpatient care, pharmaceuticals).
Actual expenditures, rather than budget inputs, are used to fill a series of tables that show the flow of funding through the health sector. NHA also provides detailed breakdowns of disease-specific expenditures such as those for HIV/AIDS and reproductive health (RH). NHA is designed to be used as a policy tool to facilitate the implementation of health system goals.
This report describes findings from the third round of NHA in Kenya.
The first two estimations covered financial years (FYs) 1994/95 and 2001/02, respectively. This third round, undertaken in 2007 and covering 2005/06 was implemented by the MoH and Kenya National Bureau of Statistics (KNBS) with financial support from the United States Agency for International Development (USAID). USAID’s
Health Systems 20/20 Project, led by Abt Associates Inc., provided technical support. The findings will be used as a platform for informing policy decisions concerning resource allocation and will also be used by stakeholders in the sector.
Kind of Data
Administrative records data [adm]
Unit of Analysis
households and institutions
Version
Version Description
v01- This is the first documentation by the bureau for public dissemination.
Version Date
2007
Scope
Notes
The scope of the Kenya National Health Accounts include the following:
- Households characteristics, health expenditures
- Institutions included: Donors; Employers (both private and public);Health insurance companies;NGOs; andPublic sector organisations
- Households characteristics, health expenditures
- Institutions included: Donors; Employers (both private and public);Health insurance companies;NGOs; andPublic sector organisations
Coverage
Geographic Coverage
The whole country
Universe
Household health expenditure covered all households in the country whereas the institutional surveys covered firms selected under the review.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Ministry of Health Department of Policy and Planning | Government of Kenya |
| Kenya National Bureau of Statistics | Ministry of Plannning National Development and Vision 2030 |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United States Agency for International Development | USAID | funding |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Kenya Private Sector Alliance | Private Sector | Contributors |
| Health NGO's Network | Non Governmental Organizations | Contributors |
| Ministry of Local Government | Government of Kenya | Contributors |
| Inspectorate of State Cooperation | Government of Kenya | Contributors |
Sampling
Sampling Procedure
Kenya is divided into eight administrative provinces. The provinces are in turn subdivided into 70
districts. Each district is subdivided into divisions while the divisions are split into locations and finally
each location into sublocations.
During the 1999 population census, each sublocation was subdivided into smaller units called enumeration areas (EAs). Kenya has about 62,000 EAs. The EAs provided census information on households and population. This information was used in the design of the National Sample Survey Evaluation Programme (NASSEP) IV master sample with 1,800 selected EAs.
The cartographic records for each EA in the master sample were updated in the field, one year preceding the NHA survey. The 1,800 clusters were distributed into 540 urban and 1,260 rural clusters.
The province provided a natural stratification of the population. The six major urban centres Nairobi, Mombasa, Kisumu, Nakuru, Eldoret, and Thika were further substratified into five socioeconomic classes based on incomes to circumvent the extensive socioeconomic diversity inherent in them as follows: upper, lower upper, middle, lower middle and lower; this improved the precision of estimates due to reduced sampling variation.
It was estimated that 8,844 households would be sufficient to provide estimates both at provincial and national levels as well as disaggregation to urban and rural components of the country. This sample was to yield 6,060 interviews in the rural and 2,784 in the urban clusters (Table 2.2). This was to be achieved through coverage of 737 clusters (505 rural and 232 urban clusters).
Twelve households were to be covered in each cluster. The method of proportional allocation was used in assigning the sample households to the provinces and districts. The count of the households was transformed to the square
root of the census households to avoid under-representing the smaller districts.
districts. Each district is subdivided into divisions while the divisions are split into locations and finally
each location into sublocations.
During the 1999 population census, each sublocation was subdivided into smaller units called enumeration areas (EAs). Kenya has about 62,000 EAs. The EAs provided census information on households and population. This information was used in the design of the National Sample Survey Evaluation Programme (NASSEP) IV master sample with 1,800 selected EAs.
The cartographic records for each EA in the master sample were updated in the field, one year preceding the NHA survey. The 1,800 clusters were distributed into 540 urban and 1,260 rural clusters.
The province provided a natural stratification of the population. The six major urban centres Nairobi, Mombasa, Kisumu, Nakuru, Eldoret, and Thika were further substratified into five socioeconomic classes based on incomes to circumvent the extensive socioeconomic diversity inherent in them as follows: upper, lower upper, middle, lower middle and lower; this improved the precision of estimates due to reduced sampling variation.
It was estimated that 8,844 households would be sufficient to provide estimates both at provincial and national levels as well as disaggregation to urban and rural components of the country. This sample was to yield 6,060 interviews in the rural and 2,784 in the urban clusters (Table 2.2). This was to be achieved through coverage of 737 clusters (505 rural and 232 urban clusters).
Twelve households were to be covered in each cluster. The method of proportional allocation was used in assigning the sample households to the provinces and districts. The count of the households was transformed to the square
root of the census households to avoid under-representing the smaller districts.
Response Rate
A total of 8,844 households were selected for the survey. Of these, 8,453 were successfully interviewed, giving a response rate of 95.6
percent, and the survey reported observations on 38,235 individuals living in these households.
percent, and the survey reported observations on 38,235 individuals living in these households.
Weighting
The sample based on NASSEP IV is not self-weighted. It was, therefore, necessary to weight the data to enable expansion of the sample results to the population. Weighting was done using the cluster design weights from the NASSEP IV sampling frame.
Necessary adjustments for population change and
nonresponse were done. The selection probabilities were based on the measure of size and the sampling interval of the clusters within the district.
Adjustment of the weights was done upon completion of the data entry.
Necessary adjustments for population change and
nonresponse were done. The selection probabilities were based on the measure of size and the sampling interval of the clusters within the district.
Adjustment of the weights was done upon completion of the data entry.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2007-09-03 | 2007-10-31 | Household membership survey |
| 2007-12-03 | 2008-05-29 | Institutional Survey |
Data Collection Mode
Face-to-face [f2f]
Data Processing
Data Editing
To expedite data entry and monitor data quality, all completed questionnaires were sent to a data
management unit at the MoH Planning Department, which was the designated secretariat for the activity.
This approach helped in standardizing and speeding up data entry and reducing errors. Questionnaires were also checked for completeness before entry.
Data were entered in a Census and Survey Processing System (CSPro) by a team of data entry clerks under the supervision of data entry supervisors. The data were reentered for validation.
The data files were then converted into SPSS, the
software used for data analysis. Much of the analysis was replicated using Stata, to confirm that weighted estimates were correct. Stata was also used to perform analysis that could not be undertaken using SPSS.
management unit at the MoH Planning Department, which was the designated secretariat for the activity.
This approach helped in standardizing and speeding up data entry and reducing errors. Questionnaires were also checked for completeness before entry.
Data were entered in a Census and Survey Processing System (CSPro) by a team of data entry clerks under the supervision of data entry supervisors. The data were reentered for validation.
The data files were then converted into SPSS, the
software used for data analysis. Much of the analysis was replicated using Stata, to confirm that weighted estimates were correct. Stata was also used to perform analysis that could not be undertaken using SPSS.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Kenya National Bureau of Statistics | directorgeneral@knbs.or.ke | www.knbs.or.ke |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Kenya National Bureau of Statistics | directorgeneral@knbs.or.ke | www.knbs.or.ke |
Confidentiality
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
This statement does not replace a more comprehensive data agreement
Citation requirements
"Kenya National Bureau of Statistics,Kenya National Health Account 2007(KNHA 2007), Version 1, provided by KeNADA.
www.knbs.or.ke"
www.knbs.or.ke"
Disclaimer and copyrights
Disclaimer
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.
Copyright
(c) 2007, Kenya National Bureau of Statistics
Metadata production
DDI Document ID
DDI-KEN-KNBS-KNHA-2007-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Kenya National Bureau of Statistics | KNBS | Ministry of Planning National Development and Vision 2030 | Documentation of Survey |
Date of Metadata Production
2007
DDI Document version
version 1