Burden and characteristics of HIV infection among female sex workers in Kampala, Uganda - a respondent-driven sampling survey

BMC Public Health. 2017 Jun 10;17(1):565. doi: 10.1186/s12889-017-4428-z.

Abstract

Background: Sex workers in Uganda are at significant risk for HIV infection. We characterized the HIV epidemic among Kampala female sex workers (FSW).

Methods: We used respondent-driven sampling to sample FSW aged 15+ years who reported having sold sex to men in the preceding 30 days; collected data through audio-computer assisted self-interviews, and tested blood, vaginal and rectal swabs for HIV, syphilis, neisseria gonorrhea, chlamydia trachomatis, and trichomonas vaginalis.

Results: A total of 942 FSW were enrolled from June 2008 through April 2009. The overall estimated HIV prevalence was 33% (95% confidence intervals [CI] 30%-37%) and among FSW 25 years or older was 44%. HIV infection is associated with low levels of schooling, having no other work, never having tested for HIV, self-reported genital ulcers or sores, and testing positive for neisseria gonorrhea or any sexually transmitted infections (STI). Two thirds (65%) of commercial sex acts reportedly were protected by condoms; one in five (19%) FSW reported having had anal sex. Gender-based violence was frequent; 34% reported having been raped and 24% reported having been beaten by clients in the preceding 30 days.

Conclusions: One in three FSW in Kampala is HIV-infected, suggesting a severe HIV epidemic in this population. Intensified interventions are warranted to increase condom use, HIV testing, STI screening, as well as antiretroviral treatment and pre-exposure prophylaxis along with measures to overcome gender-based violence.

Keywords: Female sex workers; HIV; Kampala; RDS; Respondent-driven sampling; STI; Uganda.

MeSH terms

  • Adolescent
  • Adult
  • Condoms / statistics & numerical data
  • Female
  • HIV Infections / epidemiology*
  • Humans
  • Pre-Exposure Prophylaxis
  • Prevalence
  • Risk Factors
  • Sex Workers / statistics & numerical data*
  • Sexually Transmitted Diseases / epidemiology
  • Socioeconomic Factors
  • Uganda / epidemiology
  • Violence / statistics & numerical data
  • Young Adult