KEN_2006_GEHDS_v01_M_v01_A_RUF
Greater Eldoret Health and Development Survey (Round 3) 2006 - Research Use Files
Name | Country code |
---|---|
Kenya | KEN |
Other Household Health Survey [hh/hea]
This is the third round of the Greater Eldoret Health and Development Survey. The first round was conducted in 2005, and the second one in 2005.
The data collected in the second round of the survey (as well as future rounds) provide the longitudinal information necessary for examining changes in socio-economic status resulting from treatment. Subsequent analysis will therefore address the topic of treatment impacts more extensively. Future work will also examine other diseases in the survey area as well.
Sample survey data [ssd]
Household, Individual
v1.0 of the Research Use Files (PUF), generated based on version 1.0 of the Master File.
The RUF version corresponds closely to the Master (original) dataset. Direct identifiers were removed, household IDs and detailed geographic codes were replaced with random numbers, and various fixes were done (to correct relationship between files, destring variable Relationship to the head, etc. A Stata program named KEN_2006_GEHDS__fix_ruf.do was used to generate the PUF version (this program requires lookup files named _CONFIDENTIAL_Lookup_RandomHIDs.dta and _CONFIDENTIAL_Lookup_RandomXIDs.dta, not available to the public.
2011-07-05
The scope of the Greater Eldoret Health and Development Survey includes:
HOUSEHOLD: Current household members, children residing elsewhere, permanent individual roster, education, education expenditures, health and health services use, food consumption and expenditures, other household expenses, assets, income and activities, agricultural activities, enterprises, unexpected events, transfers and credit, time and risk preferences, knowledge and behavior, anthropometrics, marriage, family background, mortality, housing, network
YOUTH: Background characteristics, education, marriage, knowledge of HIV/AIDS, HIV testing, sexual behavior, and job training, income and expenditures
Topic | Vocabulary | URI |
---|---|---|
employment [3.1] | CESSDA | http://www.nesstar.org/rdf/common |
consumption/consumer behaviour [1.1] | CESSDA | http://www.nesstar.org/rdf/common |
income, property and investment/saving [1.5] | CESSDA | http://www.nesstar.org/rdf/common |
compulsory and pre-school education [6.2] | CESSDA | http://www.nesstar.org/rdf/common |
general health [8.4] | CESSDA | http://www.nesstar.org/rdf/common |
specific diseases and medical conditions [8.9] | CESSDA | http://www.nesstar.org/rdf/common |
housing [10.1] | CESSDA | http://www.nesstar.org/rdf/common |
youth [12.10] | CESSDA | http://www.nesstar.org/rdf/common |
time use [13.9] | CESSDA | http://www.nesstar.org/rdf/common |
morbidity and mortality [14.4] | CESSDA | http://www.nesstar.org/rdf/common |
The household survey was conducted in Kosirai Division, a rural area located in the Nandi North District of western Kenya.
Name | Affiliation |
---|---|
Markus Goldstein and Harsha Thirumurthy | The World Bank |
This description is from the first round:
Survey area. The household survey was conducted in Kosirai Division, a rural area located in the Nandi North District of western Kenya. Kosirai division has an area of 195 square kilometers (76 square miles) and a population of 35,383 individuals and 6,643 households (Central Bureau of Statistics, 1999). The survey households are scattered across more than 100 villages where animal and crop farming is the primary economic activity. The survey's random sample of 512 households (described below) is intended to be representative of households in Kosirai Division.
Sample Selection. A range of factors were considered when designing the sample of households in the survey. A random sample of households in Kosirai Division was created to provide representative information on the disease burden and socio-economic issues in the survey area. To further examine specific issues relating to HIV/AIDS (such as impacts of the disease and treatment), a separate sample of HIV-positive patients in AMPATH's HIV clinic was chosen. Finally, a small sample of VCT clients (who tested HIV-positive or HIV-negative) was chosen to examine issues relating to HIV testing. It should be noted that the random sample also serves as a comparison group to the HIV and VCT samples.
The sample of survey households is thus comprised of three different groups: (a) 512 households chosen randomly from a household census of Kosirai Division (the random sample), (b) 250 households with at least one HIV-positive individual who receives medical care at the HIV clinic in the Mosoriot health centre (the HIV sample, or "HIV households"), and (c) 61 households with an individual who has recently visited the VCT clinic in MRHTC (the VCT sample). Of the 250 households in the HIV sample, 167 are households in which the HIV-positive individual is receiving antiretroviral (ARV) treatment at the Mosoriot HIV clinic. In the random sample, the HIV status of respondents is usually unknown, unless the respondent reported having gone for an HIV test and testing HIV-positive or negative. Finally, in the VCT sample, most respondents have tested HIV-negative.
Multiple questionnaires were used in the survey, each one focusing on different issues such as health, education, agriculture, and income/employment. Each interview began with a listing of all household members. Information on characteristics of each member was collected - age, sex, relationship to household head, education, health status, and participation in income-earning activities. For children under the age of 5 years, height and weight measurements were also taken. In addition, the household and individual questionnaires also addressed the following additional topics:
· Ownership and purchases/sales of assets such as land, livestock, and durable goods
· Agricultural production and investment
· Time and risk preferences
· Food consumption and other expenditures
· Financial and non-financial transfers to and from the respondent
· Knowledge about diseases such as malaria and HIV/AIDS
· Health-related behavioral practices (including sexual behavior and HIV testing)
· Family background, such as personal/parental characteristics, fosterage and inheritances
· Mortality of previous household members and children living away
· Discussions about diseases such as malaria and HIV/AIDS
Start | End |
---|---|
2006-04 | 2006-10 |
Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 3, 2006. Ref. KEN_2006_GEHDS_v01_M_v01_A_RUF. Dataset downloaded from http://microdata.worldbank.org on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
DDI_KEN_2006_GEHDS_v01_M_v01_A_RUF
Name | Affiliation | Role |
---|---|---|
Akiko Sagesaka | The World Bank | Documentation of study |
Olivier Dupriez | The World Bank | Documentation of RUF version |
2011-07-05
Version 1.0 of the RUF adaptation
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