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

Version
1.0
Resource Type
Dataset
Creator
  • Shisana, Olive
  • Human Sciences Research Council, Medical University of Southern Africa
Publication Date
2013-06-04
Embargo End Date
2013-06-04
Contributor
  • 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
Schema: UK DATA ARCHIVE - HASSET
HEALTH SYSTEM; HIV/AIDS
Description
  • Abstract

    Description: The data set contains child patients' data - demographic, morbidity, behavioural, environmental and data on health facilities (i.e. name, type, and province and health district). Patient biographic data (age, sex, race, residence, nationality, refugee status, place of birth, language, type of dwelling, education, employment; religion, orphan hood status, marital status of parents, etc.). Data on history of hospitalisation of patient and data on patients health status like weight loss, diarrhoea etc. and symptoms/diseases that had prompted patients to seek medical and health care. Furthermore environmental data on pollution, living on farms and access to clean drinking water and food was collected as well as data on HIV status. The data contains 108 variables and 415 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 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 child questionnaire contains the child patient's biographical data, hospitalisation history of patients seen at clinics, in-patients interviewed in a hospital, health status, environment.

Temporal Coverage
  • 2001 / 2002
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
All child patients (younger than 15 years) in public and private health facilities in South Africa. (Note: In hospitals only patients in medical and paediatric wards were included.).
Sampling
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
    Cross-section
Collection Mode
  • Clinical measurements
  • Face-to-face interview
Availability
Download
Rights
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.
Other

Update Metadata: 2019-09-22 | Issue Number: 1509 | Registration Date: 2014-09-22

Shisana, Olive; Human Sciences Research Council, Medical University of Southern Africa (2013): The impact of HIV-AIDS on the health sector 2002: Child data - All provinces in South Africa. Version: 1.0. HSRC - Human Science Research Council SA. Dataset. http://doi.org/10.14749/1400830092