Evidence map›Paper›PMID 39663188›Full record

SynthesisJournal of the International AIDS Society2024

Linkage to care and prevention after HIV self-testing: a systematic review and meta-analysis.

Ying Zhang, Su Mei Goh, James Tapa, Cheryl C Johnson, Eric P F Chow, Lei Zhang, Tiffany Phillips, Christopher K Fairley, Jason J Ong

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of the International AIDS Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

9 authors.

Ying ZhangSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7717-5691
Su Mei GohChelsea and Westminster Trust, London, UK.
James TapaSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Cheryl C JohnsonGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
Eric P F ChowSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1766-0657
Lei ZhangSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Tiffany PhillipsSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6920-7710
Christopher K FairleySchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Jason J OngSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5784-7403

Funding

Australian National Health and Medical Research Council (NHMRC) Emerging Investigator Grant GNT1172873Australian National Health and Medical Research Council (NHMRC) Emerging Investigator Grant GNT1193955Australian NHMRC Leadership Investigator Grant GNT1172900World Health Organization 001
6 · The paper itself

Abstract

introductionEffective linkage to prevention and care is a crucial step following HIV testing services. This systematic review aimed to determine the proportion of individuals linked to prevention and care after HIV self-testing (HIVST) and describe factors associated with linkage.

methodsFollowing PRISMA guidelines, a comprehensive search across eight databases (2010-October 2023) identified studies on linkage to care after HIVST, defined as receiving a confirmatory test or initiating antiretroviral therapy (ART) if the self-test was reactive, and/or pre-exposure prophylaxis (PrEP) if the self-test was non-reactive. A random-effects meta-analysis summarized the findings and meta-regression explored study-level covariates, such as world region, population type and service delivery model, that might explain the between-study heterogeneity.

resultsFrom 10,071 screened studies, 173 were included in the meta-analysis. The majority of studies focused on key populations in Africa using unassisted, oral fluid-based HIVST kits. Among those with reactive HIVST results, 92% (95% confidence interval [CI]: 88-95) were linked to confirmatory testing (n = 124 studies), and 89% (95% CI: 84-93) of newly diagnosed individuals initiated ART (n = 88 studies). Overall, 84% (95% CI: 74-93) of self-testers were linked to care (n = 69 studies). However, only 9% (95% CI: 2-19) of individuals with non-reactive HIVST results were linked to PrEP services (n = 9 studies). Assisted HIVST was associated with higher linkage rates to confirmatory testing and ART initiation compared to unassisted testing. Meta-regression revealed that the type of delivery model for the HIVST kits influenced linkage and that individuals who obtained their HIVST kits through a social network-based approach (SNA) were more likely to be linked to confirmatory testing (adjusted odds ratio = 1.28 [95% CI: 1.10-1.50], p = 0.001) compared to non-SNA service delivery model. DISCUSSION: In the context of expanding HIVST services globally, we found that linkage to confirmatory testing and ART initiation after HIVST is generally high, particularly when assisted HIVST or SNA-based distribution is used.

conclusionsStrengthening timely linkage is vital for improving health outcomes, reducing HIV transmission and achieving the UNAIDS 95-95-95 goal. Ongoing research and collaboration with community-based organizations are needed to overcoming barriers and ensuring positive outcomes for those using HIVST. PROSPERO NUMBER: CRD42022357570.

Indexed as

HIV InfectionsSelf-TestingAdultFemaleHIV TestingHumansMalePre-Exposure ProphylaxisARTconfirmatory testingHIVlinkagePrEPself‐test

Identifiers

PMID39663188
PMCPMC11634545

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.