The impact of HIV-AIDS on the health sector 2002: Health facilities data - All provinces in South Africa

Resource Type
  • Shisana, Olive
  • Human Sciences Research Council, Medical University of Southern Africa
Publication Date
Embargo End Date
  • Human Sciences Research Council (Producer)
  • Medical University of Southern Africa (Producer)
Funding Reference
  • Centers for Disease Control and Prevention
  • South African Department of Health
Free Keywords
  • Abstract

    Description: The questions contained in the health facility questionnaire were asked of 218 respondents (each representing one facility) from each of the facilities in the sample.Topics included in the questionnaires are: facility information, health institution (e.g. type), ownership of the health institution, location, size, services, human resources, turnover, admission rates, HIV/AIDS care, TB treatment, STDs treatment, cost of health care, drug utilization, laboratory supplies and utilization, resistance testing, blood transfusion services. The data contains 351 variables and 218 cases.

    Abstract: The Nelson Mandela / HSRC study of HIV/AIDS (2002) reported an estimated prevalence of 4.5 million among persons aged two years and older. Given the overall impact of HIV/AIDS on South African society, and the need to make policies on the management of those living with the disease, it was important that studies were undertaken to provide data on the impact on the health system. This study was undertaken by the HSRC in collaboration with the national School of Public Health (NSPH) at the Medical University of South Africa (MEDUNSA)and the Medical Research Council (MRC). It was commissioned by the National Department of Health (DoH) to assess the impact of HIV/AIDS on the health system and to understand its progressive impact over time. The principal investigators sought to answer the following questions To what extent does HIV/AIDS affect the health system? What aspects or sub-systems are most affected? How is the impact going to progress over time? To answer the questions, a stratified cluster sample of 222 health facilities representative of the public and private sector in South Africa were drawn from the national DoH database on health facilities (1996). A nation-wide, representative sample of 2000 medical professionals including nursing professionals; other categories of nursing staff; other health professionals and non-professional health workers was obtained. In addition to this a representative probability sample of 2000 patients was obtained. Data collection methods included a postal survey and telephone interviews The major variables are listed below: Health institution details, type of health services provided, staff profile, absenteeism, staff turnover, vacancies, admission rates, length of stay, average number of visits made by patient, hospital bed occupancy rates, management of HIV/AIDS services, HIV/AIDS care, TB treatment, treatment for sexually transmitted disease, cost of health care, drug availability, laboratory supplies, blood transfusion services.

Temporal Coverage
  • 2001 / 2002
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
Health facilities in the public and private sector in South Africa.
The task was to obtain a representative probability sample of 2000 patients, and at most representative probability sample 2000 health professionals who are in contact with patients undergoing treatment at the selected health facilities. The sampling frame was the national DoH's health facilities database (1996). Target population, was selected from two separate sampling frames: - (a) a list of all public clinics in the country (excluding mobile, satellite, part-time and specialized clinics; and (b) a list of all hospitals (public and private) and Private clinics with indication of the number of beds available in each of health facilities from the national DoH database on health facilities (1996). Provinces and health regions within provinces were considered as explicit strata. Provinces formed the primary stratification variable and the health regions the secondary stratification variable. The Primary sampling unit (PSU) was the magisterial districts within each health region in the case of public clinics, Secondary sampling unit (SSU) were clinics and hospitals- drawn using simple random sampling, and Ultimate/final sampling unit the (USU) the professional and non-professional health workers and patients. Measure of size (MOS) for public clinics was a monotonic function of the number of clinics per managerial districts. Selected 167 clinics were allocated disproportionately i.e. proportional to MOS. Allocated sample number of clinics within each province was allocated proportionately to the health regions in the province. MOS for hospitals and private clinics was a monotonic function of the number of beds as in DOH's database. Sample sizes for SSUs: Public clinics (167) Public Hospitals (33) Private Hospitals and clinics (22) Sample sizes for USUs: 1000 patients 500 nursing personnel 200 medical doctors 100 other professional health workers 400 non-professional health workers Public clinics 1000 patients 500 nursing personnel 111 nonprofessional personnel( e.g. cleaners) Public Hospitals 667 patients 333 nursing Personnel 200 medical doctors 67 other professional 222 non-professionals Private Hospitals and clinics 333 patients 167 nursing Personnel 100 medical doctors (all to be drawn at hospitals) 33 other professional (all to be drawn at hospitals) 167 non-professionals
Time Dimension
  • Cross-section
Collection Mode
  • Postal survey
  • Telephone interview
By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the HSRC. The data will be used for statistical and scientific research purposes only and the confidentiality of individuals/organisations in the data will be preserved at all times and that no attempt will be made to obtain or derive information relating specifically to identifiable individuals/organisations. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. The HSRC will be acknowledged in all published and unpublished works based on the data according to the citation as stated in the study information file or the web page metadata field, citation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. The collector of the data, the HSRC, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses. By retrieval of the data you signify your agreement to comply with the above-stated terms and conditions and give your assurance that the use of statistical data obtained from the HSRC will conform to widely-accepted standards of practice and legal restrictions that are intended to protect the confidentiality of respondents. Failure to comply with the above is considered infringement of the intellectual property rights of the HSRC.

Update Metadata: 2021-01-13 | Issue Number: 1828 | Registration Date: 2015-02-03