AIDS Patient Care STDS
January 2020
Stigma and judgment by health workers toward people living with HIV (PLHIV) and key populations can undermine the uptake of HIV services. In 2014, we recruited health workers delivering HIV services from 21 urban communities in South Africa and Zambia participating in the first year of the HPTN 071 (PopART) cluster-randomized trial. We analyzed self-reported levels of stigma and judgment toward (1) PLHIV, (2) women who sell sex, (3) men who have sex with men (MSM), and (4) young women who become pregnant before marriage.
View Article and Find Full Text PDFIntroduction: Integrating standardized measures of HIV stigma and discrimination into research studies of emerging HIV prevention approaches could enhance uptake and retention of these approaches, and care and treatment for people living with HIV (PLHIV), by informing stigma mitigation strategies. We sought to develop a succinct set of measures to capture key domains of stigma for use in research on HIV prevention technologies.
Methods: From 2013 to 2015, we collected baseline data on HIV stigma from three populations (PLHIV (N = 4053), community members (N = 5782) and health workers (N = 1560)) in 21 study communities in South Africa and Zambia participating in the HPTN 071 (PopART) cluster-randomized trial.
As the landscape of humanitarian response shifts from camp-based to urban- and informal-tented settlement-based responses, service providers and policymakers must consider creative modes for delivering health services. Psychosocial support and case management can be life-saving services for refugee women and girls who are at increased risk for physical, sexual and psychological gender-based violence (GBV). However, these services are often unavailable in non-camp refugee settings.
View Article and Find Full Text PDFObjective: To describe the prevalence and determinants of HIV stigma in 21 communities in Zambia and South Africa.
Design: Analysis of baseline data from the HPTN 071 (PopART) cluster-randomized trial. HIV stigma data came from a random sample of 3859 people living with HIV.
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