Greater Eldoret Health and Development Survey (Round 2) 2005
Other Household Health Survey [hh/hea]
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
v1.2: Edited data, second version, for internal use only
The data has been reformatted to long form from wide form.
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, and youth
consumption/consumer behaviour [1.1]
income, property and investment/saving [1.5]
compulsory and pre-school education [6.2]
general health [8.4]
specific diseases and medical conditions [8.9]
time use [13.9]
morbidity and mortality [14.4]
Producers and sponsors
Markus Goldstein and Harsha Thirumurthy
The World Bank
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. Information from these households thus presents an opportunity to understand the health and socio-economic characteristics of the population served by the Mosoriot health centre.
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.
Mosoriot Rural Health Training Centre. The health centre is located approximately 25 kilometers south of Eldoret town and is the main health care provider in Kosirai Division. The health centre provides primary care services and is mainly an outpatient facility. In addition, a collaboration between Indiana University and the Moi University Faculty of Health Sciences has established an electronic medical record system (MMRS) at Mosoriot which contains a range of clinical information on all patients who visit the health centre (Hannan, et al. 2000). In 2001, this same collaboration also created the Academic Model for the Prevention and Treatment of HIV/AIDS (AMPATH). AMPATH's first rural HIV clinic was opened in Mosoriot in November 2001 (Cohen, 2004). Beginning in late-2003, the HIV clinic at Mosoriot has experienced tremendous growth, with the number of patients rising from less than 100 in 2003 to over 800 as of October 2004 (AMPATH data).
Dates of Data Collection
Data Collection Mode
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
Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 2, 2005. Ref. KEN_2005_GEHDS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].