Evidence map›Paper›PMID 32907565›Full record

ArticleBMC public health2020

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

Edmore Marinda, Leickness Simbayi, Khangelani Zuma, Nompumelelo Zungu, Sizulu Moyo, Lwando Kondlo, Sean Jooste, Patrick Nadol, Ehimario Igumbor, Cheryl Dietrich and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. The audacious goal to end AIDS by 2030: aspiration or reality?Journal of the International AIDS Society · 2024
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Edmore MarindaHuman Sciences Research Council, Pretoria, South Africa. emarinda@hsrc.ac.za.ORCID http://orcid.org/0000-0002-3981-8497
Leickness SimbayiHuman Sciences Research Council, Pretoria, South Africa.
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.
Nompumelelo ZunguHuman Sciences Research Council, Pretoria, South Africa.
Sizulu MoyoHuman Sciences Research Council, Pretoria, South Africa.
Lwando KondloHuman Sciences Research Council, Pretoria, South Africa.
Sean JoosteHuman Sciences Research Council, Pretoria, South Africa.
Patrick NadolDivision of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Pretoria, GA, South Africa.
Ehimario IgumborDivision of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Pretoria, GA, South Africa.
Cheryl DietrichDivision of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Pretoria, GA, South Africa.
Melissa Briggs-HagenDivision of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Pretoria, GA, South Africa.

Funding

CDC HHS NU2GGH001629
6 · The paper itself

Abstract

backgroundMeasuring 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.

methodsTo evaluate progress towards achievement of the 90-90-90 targets for South Africa, data obtained from a national, representative, cross-sectional population-based multi-stage stratified cluster random survey conducted in 2017 were analysed. The Fifth South African National HIV Prevalence, Incidence, Behaviour and Communication Survey (SABSSM V), collected behavioural and biomarker data from individuals residing in households from 1000 randomly selected Small Area Layers (SALs), across all nine provinces of the country. Structured questionnaires were used to collect socio-demographic data, knowledge and perceptions about HIV, and related risk behaviours. Blood samples were collected to test for HIV infection, antiretroviral use, and viral suppression (defined as < 1000 copies/ml). Weighted proportions of study participants aged 15 years and older who tested HIV positive were computed for those who reported awareness of their status (1st 90), and among these, those who were currently on ART (2nd 90) and of these, those who were virally suppressed (3rd 90).

resultsAmong persons 15 years and older who were HIV positive, 84.8% were aware of their HIV positive status, of whom 70.7% were currently on ART, with 87.4% of these estimated to have suppressed viral load at the time of the survey. These estimates varied by sex, age, and geo-location type. Relatively higher percentages across all three indicators for women compared to men were observed: 88.7% versus 78.2% for those aware of their status, 72.3% versus 67.7% for on ART, and 89.8% versus 82.3% for viral suppression. Knowing one's positive HIV status increased with age: 74.0, 85.8, and 88.1% for age groups 15-24 years old, 25-49 years old and 50-64 years old, although for those 65 years and older, 78.7% knew their HIV positive status. A similar pattern was observed for the 2nd 90, among those who knew their HIV positive status, 51.7% of 15 to 24 year olds, 70.5% of those aged 25-49 years old, 82.9% of those aged 50-64 years old and 82.4% of those aged 65 years or older were currently on ART. Viral suppression for the above mentioned aged groups, among those who were on ART was 85.2, 87.2, 89.5, and 84.6% respectively. The 90-90-90 indicators for urban areas were 87.7, 66.5, and 87.2%, for rural settings was 85.8, 79.8, and 88.4%, while in commercial farming communities it was 56.2, 67.6 and 81.4%.

conclusionsSouth 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.

Indexed as

AwarenessEpidemicsGoalsViral LoadAchievementAcquired Immunodeficiency SyndromeAdolescentAdultAgedAged, 80 and overAnti-Retroviral AgentsCross-Sectional StudiesFemaleHIV InfectionsHumansIncidenceAnti-Retroviral Agents90–90–90 indicatorARTDiagnosedSouth AfricaViral suppression

Identifiers

PMID32907565
PMCPMC7487872

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.