Association between socio-economic factors and HIV self-testing knowledge amongst South African women

Background Self-testing for HIV is an effective and alternative method of increasing HIV testing rates and a strategy for reaching populations that are underserved by HIV testing services. Nonetheless, many resource-constrained settings are yet to adopt HIV self-testing (HIVST) into their national H...

Full description

Saved in:
Bibliographic Details
Published in:Southern African journal of HIV medicine 2022, Vol.23 (1), p.1347-1347
Main Authors: Ekholuenetale, Michael, Nzoputam, Chimezie I., Okonji, Osaretin C.
Format: Article
Language:English
Subjects:
Acquired immune deficiency syndrome
AIDS
Biology
Comparative analysis
Education
Health aspects
Health Care Sciences & Services
Health Policy & Services
Health surveys
HIV
HIV (Viruses)
HIV infection
HIV prevention
HIV testing
Households
Human immunodeficiency virus
Immunology
Infection
Infections
Knowledge
Maternal & child health
Medical tests
Original Research
Rural populations
Self-testing
Socioeconomic factors
South Africa
Wealth
Women
Womens health
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background Self-testing for HIV is an effective and alternative method of increasing HIV testing rates and a strategy for reaching populations that are underserved by HIV testing services. Nonetheless, many resource-constrained settings are yet to adopt HIV self-testing (HIVST) into their national HIV programmes.Objectives This study aimed to examine the association between socio-economic factors and HIVST knowledge amongst South African women.Method We used nationally representative data from the 2016 South African Demographic and Health Survey. A sample of 8182 women of reproductive age was analysed. The outcome variable was HIVST knowledge. This was measured dichotomously; know versus do not know about HIVST. The multivariable logistic model was used to examine the measures of association, with the level of significance set at P
ISSN:1608-9693
2078-6751
2078-6751
DOI:10.4102/sajhivmed.v23i1.1347