Evidence map›Paper›PMID 42182600›Full record

ArticleAIDS research and treatment2026

Demographic and Socioeconomic Factors Associated With ART Nonadherence Among 15 Years and Older South Africans. Evidence From the 2022 Cross-Sectional Population-Based Household Survey.

Sbonelo Chamane, Musawenkosi Mabaso, Tarylee Reddy, Prudence Chambale, Kutloano Skhosana, Ronel Sewpaul, Lehlogonolo Makola, Angeline Ngcobo, Vuyelwa Mehlomakulu, Lesiba Molopa and 4 more

Abstract read
In one paragraph

Article in AIDS research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Sbonelo ChamanePublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.ORCID https://orcid.org/0000-0001-5350-5203
Musawenkosi MabasoPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Tarylee ReddyBiostatistics Unit, South African Medical Research Council, Durban, KwaZulu-Natal, South Africa, mrc.ac.za.
Prudence ChambalePublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Kutloano SkhosanaPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Ronel SewpaulPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Lehlogonolo MakolaPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Angeline NgcoboInformation and Corporate Management, Durban University of Technology, Durban, South Africa, dut.ac.za.
Vuyelwa MehlomakuluPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Lesiba MolopaPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Sean JoostePublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Sizulu MoyoPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Nompumelelo ZunguPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.
Khangelani ZumaPublic Health, Societies and Belonging Division, Human Sciences Research Council, Pretoria, South Africa, hsrc.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, South Africa has the highest number of people living with HIV (PLHIV) and the largest HIV treatment programme. Adherence to antiretroviral therapy (ART) is a key factor in achieving viral load suppression and positive health outcomes and is, therefore, a crucial component in managing the HIV epidemic. Methods: The survey data were collected using a two-stage stratified cluster random sampling design. Descriptive statistics were used to summarise the sample characteristics including the prevalence of nonadherence to ART. Pearson chi-square was used to test for differences in categorical variables. Bivariate modified Poisson regression analysis was used to investigate factors associated with nonadherence to ART, and statistically significant variables were included in a multivariate modified Poisson regression model. Results: Of 3737 participants who self-reported ever taking ART, 11.6% were classified as nonadherent (no antiretroviral [ARV] drugs detected in the dry blood spot). In the final model, participants with secondary or Grade 12 education had significantly higher prevalence of nonadherence than those with no or primary education (adjusted prevalence ratio [aPR] = 1.82; 95% CI: 1.12-2.95; Conclusion: The study highlights higher risk of nonadherence to ART among youth and those who reside in urban areas which could be improved through youth-friendly interventions and ongoing tailored interventions for PLHIV in urban areas.

Indexed as

ARTHIVnonadherencePLHIVSouth Africa

Identifiers

PMID42182600
PMCPMC13197651

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Registered trials

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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.