Evidence map›Paper›PMID 34275871›Full record

SynthesisBMJ global health2021

ART initiations following community-based distribution of HIV self-tests: meta-analysis and meta-regression of STAR Initiative data.

Melissa Neuman, Katherine L Fielding, Helen Ayles, Frances M Cowan, Bernadette Hensen, Pitchaya P Indravudh, Cheryl Johnson, Euphemia Lindelwe Sibanda, Karin Hatzold, Elizabeth Lucy Corbett

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors.

Melissa NeumanDepartment of Infectious Disease Epidemiology and MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK Melissa.Neuman@lshtm.ac.uk.ORCID 0000-0002-8870-6504
Katherine L FieldingDepartment of Infectious Disease Epidemiology and MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-6524-3754
Helen AylesZambart, Lusaka, Zambia.
Frances M CowanCentre for Sexual Health HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe.ORCID 0000-0003-3087-4422
Bernadette HensenCRD, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0001-6719-6720
Pitchaya P IndravudhDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK.ORCID 0000-0003-4013-7645
Cheryl JohnsonHIV, Hepatitis and STI Department, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-5499-5523
Euphemia Lindelwe SibandaCentre for Sexual Health HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe.ORCID 0000-0003-1754-1076
Karin HatzoldPopulation Services International, Washington, District of Columbia, USA.
Elizabeth Lucy CorbettDepartment of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-3552-3181

Funding

Medical Research Council MR/R010161/1Medical Research Council MR/S005307/1Wellcome Trust 200901/Z/16/ZWellcome Trust WT091769World Health Organization 001
6 · The paper itself

Abstract

introductionMeasuring linkage after community-based testing, particularly HIV self-testing (HIVST), is challenging. Here, we use data from studies of community-based HIVST distribution, conducted within the STAR Initiative, to assess initiation of antiretroviral therapy (ART) and factors driving differences in linkage rates.

methodsFive STAR studies evaluated HIVST implementation in Malawi, Zambia and Zimbabwe. New ART initiations during the months of intervention at clinics in HIVST and comparison areas were presented graphically, and study effects combined using meta-analysis. Meta-regression was used to estimate associations between the impact of community-based HIVST distribution and indicators of implementation context, intensity and reach. Effect size estimates used (1) prespecified trial definitions of ART timing and comparator facilities and (2) exploratory definitions accounting for unexpected diffusion of HIVST into comparison areas and periods with less distribution of HIVST than was expected.

resultsCompared with arms with standard testing only, ART initiations were higher in clinics in HIVST distribution areas in 4/5 studies. The prespecified meta-analysis found positive but variable effects of HIVST on facility ART initiations (RR: 1.14, 95% CI 0.93 to 1.40; p=0.21). The exploratory meta-analysis found a stronger impact of HIVST distribution on ART initiations (RR: 1.29, 95% CI 1.08 to 1.55, p=0.02).ART initiations were higher in studies with greater self-reported population-level intensity of HIVST use (RR: 1.12; 95% CI 1.04 to 1.21; p=0.02.), but did not differ by national-level indicators of ART use among people living with HIV, number of HIVST kits distributed per 1000 population, or self-reported knowledge of how to link to care after a reactive HIVST.

conclusionCommunity-based HIVST distribution has variable effect on ART initiations compared with standard testing service alone. Optimising both support for and approach to measurement of effective and timely linkage or relinkage to HIV care and prevention following HIVST is needed to maximise impact and guide implementation strategies.

Indexed as

HIV InfectionsMass ScreeningDelivery of Health CareHIV TestingHumansMalawiHIV

Identifiers

PMID34275871
PMCPMC8287607

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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.