Evidence map›Paper›PMID 40001039›Full record

ArticleBMC infectious diseases2025

Reaching priority populations with different HIV self-testing distribution models in South Africa: an analysis of programme data.

Mohammed Majam, Karin Hatzold, Webster Mavhu, Angela Tembo, Vincent Zishiri, Jane Phiri, Donaldson Conserve, Zelalem Haile, Thato Chidarikire, Cheryl C Johnson and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Mohammed MajamEzintsha, a division of the Wits Health Consortium, University of the Witwatersrand, Johannesburg, South Africa. mmajam@ezintsha.org.ORCID http://orcid.org/0000-0003-0302-5353
Karin HatzoldPopulation Services International, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-5117-3732
Webster MavhuCentre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe.ORCID http://orcid.org/0000-0003-1881-4398
Angela TemboEzintsha, a division of the Wits Health Consortium, University of the Witwatersrand, Johannesburg, South Africa.
Vincent ZishiriEzintsha, a division of the Wits Health Consortium, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-5622-5423
Jane PhiriEzintsha, a division of the Wits Health Consortium, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0001-9105-0182
Donaldson ConserveDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.ORCID http://orcid.org/0000-0001-8193-817X
Zelalem HaileDepartment of Social Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH, USA.ORCID http://orcid.org/0000-0002-2912-8564
Thato ChidarikireHIV Prevention Department, National Department of Health, Pretoria, South Africa.ORCID http://orcid.org/0000-0002-2785-7640
Cheryl C JohnsonGlobal HIV, Hepatitis and STI Programmes, World Health Organisation, Geneva, Switzerland.ORCID http://orcid.org/0000-0001-5499-5523
Sangiwe MoyoPopulation Services International, Cape Town, South Africa.ORCID http://orcid.org/0000-0003-0900-9274
Gesine Meyer-RathDepartment of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0003-0439-381X
Francois VenterEzintsha, a division of the Wits Health Consortium, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-4157-732X

Funding

Unitaid as part of the STAR Initiative 2017-17-SFH-STARWorld Health Organization 001
6 · The paper itself

Abstract

backgroundAs in much of sub-Saharan Africa, substantial HIV testing gaps remain in South Africa, particularly among adult men ages 20-35, young people ages 15-24 and key populations. Innovative strategies, such as HIV self-testing (HIVST), are needed to reach such under-served populations. We evaluated a range of HIV self-test kit distribution models' potential to reach adult men, young people and key populations in South Africa, to inform targeted approaches.

methodsThis cross-sectional study used data from community and facility-based HIV self-test kit distribution models implemented from October 2017 to April 2020. Self-test kits were distributed as part of the Unitaid-funded Self-Testing AfRica (STAR) programme. Data were collected from individuals who obtained self-test kits through five distribution models. Frequencies and proportions were used to describe the characteristics of the study populations and self-test kit distribution approaches.

resultsOver 2.5 years, 1 071 065 self-test kits were distributed across the five models. Community-based distribution accounted for 63% of total kits distributed, while the private sector (primarily workplace) accounted for 26%. Distribution at public sector health facilities accounted for 7% and distribution through the key population and secondary distribution models accounted for 2% each. Of those obtaining kits, and for whom we collected previous testing data (n = 771 612, 72%), 11% had never tested for HIV, 29% had not tested for at least a year, 41% had tested within the last 4-12 months and 19% had tested within the preceding three months. More men (64%) than women obtained self-test kits across all distribution models. The majority (80%) of men obtaining self-test kits were aged 20-40 years, and primarily received these at public transport terminals (36%), workplaces (18%) and hotspots (14%). A small proportion of men was reached through female sex workers.

conclusionsThis analysis of programme data enabled us to identify HIV self-test kit distribution models that are best suited to reach specific priority and under-tested populations, particularly adult men and young people. Models/sub-models that reach self-test users where they live, work and spend time, are likely to result in higher HIVST uptake. Study findings can inform future HIVST scale-up in South Africa.

Indexed as

HIV InfectionsHIV TestingMass ScreeningSelf-TestingAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSouth AfricaYoung AdultCommunity-basedFacility-basedHIV self-testingKey populationsPrivate sectorSouth AfricaWorkplace

Identifiers

PMID40001039
PMCPMC11863391

What OpenQuestion holds

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LicenceCC BY
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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.