Towards achieving the 90-90-90 HIV targets: results from the South African 2017 national HIV survey

SOURCE: BMC Public Health
OUTPUT TYPE: Journal Article
TITLE AUTHOR(S): E.Marinda, L.Simbayi, K.Zuma, N.Zungu, S.Moyo, L.Kondlo, S.Jooste, P.Nadol, E.Igumbor, C.Dietrich, M.Briggs-Hagen
DEPARTMENT: Public Health, Societies and Belonging (HSC), Impact Centre (IC), Office of the CEO (ERM), Office of the CEO (OCEO), Office of the CEO (IL), Office of the CEO (BS), Impact Centre (PRESS), Impact Centre (CC), Deputy CEO: Research (DCEO_R), Office of the CEO (IA), Deputy CEO: Research (ERKC), Deputy CEO: Research (CGI)
Print: HSRC Library: shelf number 11592
HANDLE: 20.500.11910/15461

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Measuring progress towards the Joint United Nations Programme on HIV/AIDS (UNAIDS) 90-90-90 treatment targets is key to assessing progress towards turning the HIV epidemic tide. In 2017, the UNAIDS model estimated that 75% of people living with HIV (PLHIV) globally knew their HIV positive status, 79% of those who knew their status were on antiretroviral therapy (ART), and 81% of those who knew their HIV status and were on ART had a suppressed viral load. The fifth South African national HIV sero-behavioural survey collected nationally representative data that enabled the empirical estimation of these 90-90-90 targets for the country stratified by a variety of key factors. South Africa appears to be on track to achieve the first 90 indicator by 2020. However, it is behind on the second 90 indicator with ART coverage that was 20-percentage points below the target among people who knew their HIV status, this indicates deficiencies around linkage to and retention on ART. Overall viral suppression among those on ART is approaching the target at 87.4%, but this must be interpreted in the context of low reported ART coverage as well as with variation by age and sex. Targeted diagnosis, awareness, and treatment programs for men, young people aged 15-24 years old, people who reside in farming communities, and in specific provinces are needed. More nuanced 90-90-90 estimates within provinces, specifically looking at more granular sub-national level (e.g. districts), are needed to identify gaps in specific regions and to inform provincial interventions