Human Sciences Research Council, Medical University of Southern Africa
Embargo End Date
Human Sciences Research Council
Medical University of Southern Africa
Centers for Disease Control and Prevention
South African Department of Health
Schema: UK DATA ARCHIVE - HASSET
HEALTH SYSTEM; HEALTH WORKERS; HIV/AIDS
The data set contains data collected from professional and non-professional health workers pertaining to biographical information of respondent, workload, job satisfaction, staff morale, working hours, absence from work during the past year, caring for HIV/AIDS patients, HIV/AIDS-related policies/procedures, fear of transmitting/contracting HIV/AIDS through contact, spouse/colleagues feelings and stigma.
There are additional variables in the data set, which include sector, HIV test results and weight.
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 PIs 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 interviews using questionnaires and clinical measurements where either a blood specimen or an oral fluid (Orasure) specimen was collected.
An anonymous linked HIV survey was conducted in the Free state, Mpumalanga, North West and Kwazulu-Natal. Oral fluids were tested for HIV antibodies at three different laboratories and results were linked with questionnaire data using barcodes.
The health worker questionnaires were divided into professional and nonprofessional health workers although the two questionnaires contained the same set of questions, consisting of the following:
Biographical information of respondent, workload, job satisfaction, staff morale, working hours, absence from work during the past year, caring for HIV/AIDS patients, HIV/AIDS-related policies/procedures, fear of transmitting/contracting HIV/AIDS through contact, spouse/colleagues feelings and stigma.
All professional and non-professional health workers from health facilities in the public and private sector in South Africa. Medical professionals included nursing professionals; other categories of nursing staff (i.e. professional nurses, student nurses, nursing assistants, staff nurses); other health professionals and non-professional health workers (porters, ambulance personnel, cleaners).
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:
500 nursing personnel
200 medical doctors
100 other professional health workers
400 non-professional health workers
500 nursing personnel
111 nonprofessional personnel( e.g. cleaners)
333 nursing Personnel
200 medical doctors
67 other professional
Private Hospitals and clinics
167 nursing Personnel
100 medical doctors (all to be drawn at hospitals)
33 other professional (all to be drawn at hospitals)
By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. 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. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
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