Assessing the association of stigma and HIV service and prevention uptake among men who have sex with men and transgender women in South Africa.

HIV prevention for gay, bisexual, and other men who have sex with men (GBMSM) and transgender women (TGW) is critical to reducing health disparities and population HIV prevalence. To understand if different types of stigma impact engagement with HIV prevention services, we assessed associations between stigmas and use of HIV prevention services offered through an HIV prevention intervention. This analysis included 201 GBMSM and TGW enrolled in a prospective cohort offering a package of HIV prevention interventions. Participants completed a baseline survey that included four domains of sexual identity/behavior stigma, HIV-related stigma, and healthcare stigma. Impact of stigma on PrEP uptake and the number of drop-in visits was assessed. No domain of stigma was associated with PrEP uptake. In bivariate analysis, increased enacted sexual identity stigma increased number of drop-in visits. In a logistic regression analysis constrained to sexual identity stigma, enacted stigma was associated with increased drop-in visits (aIRR = 1.30, [95% CI: 1.02, 1.65]). Participants reporting higher enacted stigma were modestly more likely to attend additional services and have contact with the study clinics and staff. GBMSM and TGW with higher levels of enacted stigma may seek out sensitized care after negative experiences in their communities or other healthcare settings.

Mapping the number of female sex workers in countries across sub-Saharan Africa.

Female sex workers (FSW) are affected by individual, network, and structural risks, making them vulnerable to poor health and well-being. HIV prevention strategies and local community-based programs can rely on estimates of the number of FSW to plan and implement differentiated HIV prevention and treatment services. However, there are limited systematic assessments of the number of FSW in countries across sub-Saharan Africa to facilitate the identification of prevention and treatment gaps. Here we provide estimated population sizes of FSW and the corresponding uncertainties for almost all sub-national areas in sub-Saharan Africa. We first performed a literature review of FSW size estimates and then developed a Bayesian hierarchical model to synthesize these size estimates, resolving competing size estimates in the same area and producing estimates in areas without any data. We estimated that there are 2.5 million (95% uncertainty interval 1.9 to 3.1) FSW aged 15 to 49 in sub-Saharan Africa. This represents a proportion as percent of all women of childbearing age of 1.1% (95% uncertainty interval 0.8 to 1.3%). The analyses further revealed substantial differences between the proportions of FSW among adult females at the sub-national level and studied the relationship between these heterogeneities and many predictors. Ultimately, achieving the vision of no new HIV infections by 2030 necessitates dramatic improvements in our delivery of evidence-based services for sex workers across sub-Saharan Africa.