Who gets tested for HIV in a South African urban township? Implications for test and treat and gender-based prevention interventions

J Acquir Immune Defic Syndr. 2011 Feb 1;56(2):151-65. doi: 10.1097/QAI.0b013e318202c82c.

Abstract

Background: With increasing calls for linking HIV-infected individuals to treatment and care via expanded testing, we examined sociodemographic and behavioral characteristics associated with HIV testing among men and women in Soweto, South Africa.

Methods: We conducted a cross-sectional household survey involving 1539 men and 1877 women as part of the community-randomized prevention trial Project ACCEPT/HPTN043 between July 2007 to October 2007. Multivariable logistic regression models, stratified by sex, assessed factors associated with HIV testing and then repeated testing.

Results: Most women (64.8%) and 28.9% of men reported ever having been tested for HIV, among whom 57.9% reported repeated HIV testing. In multivariable analyses, youth and students had a lower odds of HIV testing. Men and women who had conversations about HIV/AIDS with increasing frequency and who had heard about antiretroviral therapy were more likely to report HIV testing, and repeated testing. Men who had ≥ 12 years of education and who were of high socioeconomic status, and women who were married, who were of low socioeconomic status, and who had children under their care had a higher odds of HIV testing. Women, older individuals, those with higher levels of education, married individuals, and those with children under their care had a higher odds of reporting repeated HIV testing. Uptake of HIV testing was not associated with condom use, having multiple sex partners, and HIV-related stigma.

Conclusions: Given the low uptake of HIV testing among men and youth, further targeted interventions could facilitate a test and treat strategy among urban South Africans.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Female
  • HIV Infections / diagnosis*
  • HIV Infections / epidemiology
  • HIV Infections / prevention & control
  • Humans
  • Male
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Sex Factors
  • Socioeconomic Factors
  • South Africa
  • Urban Population
  • Young Adult