Evidence map›Paper›PMID 34445996›Full record

ArticleBMC public health2021

Socio-economic differences in the uptake of HIV testing and associated factors in South Africa.

Sean Jooste, Musawenkosi Mabaso, Myra Taylor, Alicia North, Yolande Shean, Leickness Chisamu Simbayi

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 16% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Sean JoosteHuman and Social Capabilities Research Division, Human Sciences Research Council, 118 Buitengracht St, Cape Town City Centre, Cape Town, 8000, South Africa. sjooste@hsrc.ac.za.ORCID 0000-0002-3984-5997
Musawenkosi MabasoHuman and Social Capabilities Research Division, Human Sciences Research Council, 118 Buitengracht St, Cape Town City Centre, Cape Town, 8000, South Africa.
Myra TaylorUniversity of KwaZulu-Natal, School of Nursing and Public Health, 238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa.
Alicia NorthHuman and Social Capabilities Research Division, Human Sciences Research Council, 118 Buitengracht St, Cape Town City Centre, Cape Town, 8000, South Africa.
Yolande SheanHuman and Social Capabilities Research Division, Human Sciences Research Council, 118 Buitengracht St, Cape Town City Centre, Cape Town, 8000, South Africa.
Leickness Chisamu SimbayiDeputy CEO for Research, Human Sciences Research Council, 118 Buitengracht St, Cape Town City Centre, Cape Town, 8000, South Africa.
Human Sciences Research Council · ZAUniversity of KwaZulu-Natal · ZA

Funding

CDC HHS NU2GGH001629
6 · The paper itself

Abstract

backgroundImproved understanding of barriers to HIV testing is important for reaching the first of the UNAIDS 90-90-90 targets, which states that 90% of HIV positive individuals ought to know their HIV status. This study examined socio-economic status (SES) differences in HIV testing uptake and associated factors among youth and adults 15 years and older in South Africa.

methodsThis study used data from a national cross-sectional, population-based household survey conducted in 2017 using a multi-stage sampling design. A composite SES score was created using multiple correspondence analyses of household assets; households were classified into wealth quintiles and dichotomised into low SES/poorest (lowest 3 quintiles) and high SES/less-poor (highest 2 quintiles). Bivariate and multivariate logistic regression models were used to examine factors associated with the uptake of HIV testing in low and high SES households.

resultsHIV testing uptake was 73.8 and 76.7% among low and high SES households, respectively, both of which were below the first 90 targets. Among both low and high SES households, increased HIV testing uptake was significantly associated with females than males. The decreased likelihood was significantly associated with residing in rural formal areas than urban areas, those with no education or low levels of educational attainment and alcohol drinkers among low SES households. Whites and Indians/Asians had a decreased likelihood than Black Africans in high SES households.

conclusionsHIV testing interventions should target males, residents in rural formal areas, those with no or low education and those that consume alcohol in low SES households, including Whites and Indians/Asians from high SES households in order to bridge socio-economic disparities in the uptake of HIV testing. This should entail expanding HIV testing beyond traditional centres for voluntary counselling and testing through outreach efforts, including mobile testing and home-based testing.

Indexed as

Family CharacteristicsHIV TestingAdolescentCross-Sectional StudiesFemaleHumansMaleSocial ClassSocioeconomic FactorsSouth AfricaHIV testingSocio-economic statusSouth AfricaUNAIDS 90–90-90 targets

Identifiers

PMID34445996
PMCPMC8390264
OpenAlexW3196127679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.