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Introduction: The HPTN 071 (PopART) trial evaluated the impact of an HIV combination prevention package that included 'universal testing and treatment' on HIV incidence in 21 communities in Zambia and South Africa during 2013-2018. The primary study endpoint was based on the results of laboratory-based HIV testing for> 48,000 participants who were followed for up to three years. This report evaluated the performance of HIV assays and algorithms used to determine HIV status and identify incident HIV infections in HPTN 071, and assessed the impact of errors on HIV incidence estimates. Methods: HIV status was determined using a streamlined, algorithmic approach. A single HIV screening test was performed at centralized laboratories in Zambia and South Africa (all participants, all visits). Additional testing was performed at the HPTN Laboratory Center using antigen/antibody screening tests, a discriminatory test and an HIV RNA test. This testing was performed to investigate cases with discordant test results and confirm incident HIV infections. Results: HIV testing identified 978 seroconverter cases. This included 28 cases where the participant had acute HIV infection at the first HIV-positive visit. Investigations of cases with discordant test results identified cases where there was a participant or sample error (mixups). Seroreverter cases (errors where status changed from HIV infected to HIV uninfected, 0.4% of all cases) were excluded from the primary endpoint analysis. Statistical analysis demonstrated that exclusion of those cases improved the accuracy of HIV incidence estimates. Conclusions: This report demonstrates that the streamlined, algorithmic approach effectively identified HIV infections in this arge cluster-randomized trial. Longitudinal HIV testing (all participants, all visits) and quality control testing provided usefu data on the frequency of errors and provided more accurate data for HIV incidence estimates. Keywords: HIV incidence; seroconverters; HIV testing; community-randomized; Zambia; South Africa, (1) | INTRODUCTION Universal testing and treatment (UTT) for HIV prevention is an important component of HIV prevention programmes [1,2]. The HIV Prevention Trials Network (HPTN) 071 (PopART) trial, the [...]

Introduction: To investigate the association between individual and community‐level measures of HIV stigma and HIV incidence within the 21 communities participating in the HPTN (071) PopART trial in Zambia and South Africa. Methods: Secondary analysis of data from a population‐based cohort followed‐up over 36 months between 2013 and 2018. The outcome was rate of incident HIV infection among individuals who were HIV negative at cohort entry. Individual‐level exposures, measured in a random sample of all participants, were: (1) perception of stigma in the community, (2) perception of stigma in health settings and (3) fear and judgement towards people living with HIV. Individual‐level analyses were conducted with adjusted, individual‐level Poisson regression. Community‐level HIV stigma exposures drew on data reported by people living with HIV, health workers and community members. We used linear regression to explore the association between HIV stigma and community‐level HIV incidence. Results: Among 8172 individuals who were HIV negative and answered individual‐level stigma questions at enrolment to the cohort, there was no evidence of a statistically significant association between any domain of HIV stigma and risk of incident HIV infection. Among the full cohort of 26,110 individuals among whom HIV incidence was measured, there was no evidence that community‐level HIV incidence was associated with any domain of HIV stigma. Conclusions: HIV stigma is often cited as a barrier to the effectiveness of HIV prevention programming. However, in the setting for the HPTN 071 "PopART trial," measured stigma alone was not associated with the risk of HIV infection. [ABSTRACT FROM AUTHOR]