2018
DOI: 10.1016/s2352-3018(17)30205-9
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Universal test and treat and the HIV epidemic in rural South Africa: a phase 4, open-label, community cluster randomised trial

Abstract: Introduction

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Cited by 198 publications
(192 citation statements)
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References 51 publications
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“…Consistent with other African cohort studies, viral suppression among youth was lower than among older adults . Mobile populations in all the trials had lower rates of viral suppression compared to non‐mobile populations . Men had lower viral suppression rates than women at study start and only slightly lower rates of viral suppression than women at study end.…”
Section: Discussionmentioning
confidence: 90%
“…Consistent with other African cohort studies, viral suppression among youth was lower than among older adults . Mobile populations in all the trials had lower rates of viral suppression compared to non‐mobile populations . Men had lower viral suppression rates than women at study start and only slightly lower rates of viral suppression than women at study end.…”
Section: Discussionmentioning
confidence: 90%
“…provision of services that are tailored to the needs of a given individual or sub‐population to improve outcomes and efficiencies within health systems). While modelling data suggest an AIDS‐free generation may be possible and community‐based “fast‐track” ART initiation can achieve high rates of virological suppression , recent data on reducing HIV incidence has been disappointing . More data are needed to understand the mechanisms behind these findings and the role adherence plays, particularly among vulnerable populations.…”
Section: Discussionmentioning
confidence: 99%
“…Despite encouraging trends in antiretroviral therapy (ART) coverage and levels of viral load suppression, HIV incidence has not declined as much as predicted in HIV simulations, and remains high in young women in sub‐Saharan Africa and key populations [3]. Given the mixed results from recent cluster randomized trials of the population‐level effect of UTT on incidence declines and observed ongoing HIV incidence across populations, the UTT strategy and 90‐90‐90 goals may not be reaching all PLHIV [4‐6].…”
Section: Introductionmentioning
confidence: 99%
“…The rationale for UTT, that it will reduce population‐level HIV incidence, has relied primarily on results of mathematical models, which vary in their complexities and assumptions [7‐12]. Empirical data from cluster randomized trials of UTT have generated lower estimates of the population‐level HIV incidence impact of UTT [4‐6]. While there are several potential explanations for these discrepancies, one potential explanation is heterogeneity in viral suppression across sociodemographics and risk behaviours.…”
Section: Introductionmentioning
confidence: 99%