Evidence map›Paper›PMID 39252193›Full record

SynthesisJournal of the International AIDS Society2024

Social network-based approaches to HIV testing: a systematic review and meta-analysis.

Annabelle Choong, Yi Ming Lyu, Cheryl C Johnson, Rachel Baggaley, Magdalena Barr-DiChiara, Muhammad S Jamil, Nandi L Siegfried, Christopher K Fairley, Eric P F Chow, Virginia Macdonald and 1 more

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 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Annabelle ChoongCentral Clinical School, Monash University, Melbourne, Victoria, Australia.
Yi Ming LyuCentral Clinical School, Monash University, Melbourne, Victoria, Australia.
Cheryl C JohnsonGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Rachel BaggaleyGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Magdalena Barr-DiChiaraGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Muhammad S JamilRegional Office to the Eastern Mediterranean, World Health Organization, Cairo, Egypt.ORCID https://orcid.org/0000-0001-9637-7838
Nandi L SiegfriedIndependent Clinical Epidemiologist, Cape Town, South Africa.
Christopher K FairleyCentral Clinical School, Monash University, Melbourne, Victoria, Australia.
Eric P F ChowCentral Clinical School, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1766-0657
Virginia MacdonaldGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-5798-6059
Jason J OngCentral Clinical School, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5784-7403

Funding

Australian National Health and Medical Research Council GNT1172873Australian National Health and Medical Research Council GNT1193955Australian NHMRC Leadership Investigator Grant GNT1172900Co-Infections/Co-Morbidities Enabler GrantUnitaid-WHO HIVUnited States Agency for International Development GHA-G-00-09-00003World Health Organization 001World Health Organization INV-024432
6 · The paper itself

Abstract

introductionSocial network-based testing approaches (SNAs) encourage individuals ("test promoters") to motivate sexual partners and/or those in their social networks to test for HIV. We conducted a systematic review to examine the effectiveness, acceptability and cost-effectiveness of SNA.

methodsWe searched five databases from January 2010 to May 2023, and included studies that compared SNA with non-SNA. We used random-effects meta-analysis to combine effect estimates. Certainty was assessed using the GRADE approach.

resultsWe identified 47 studies. SNA may increase uptake of HIV testing compared to non-SNA (RR 2.04, 95% CI: 1.06-3.95, Low certainty). The proportion of first-time testers was probably higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.49, 95% CI: 1.22-1.81, Moderate certainty). The proportion of people who tested positive for HIV may be higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.84, 95% CI: 1.01-3.35, Low certainty). There were no reports of any adverse events or harms associated with SNA. Based on six cost-effectiveness studies, SNA was generally cheaper per person tested and per person diagnosed compared to non-SNA. Based on 23 qualitative studies, SNA is likely to be acceptable to a variety of populations. DISCUSSION: Our review collated evidence for SNA to HIV testing covering the key populations and the general population who may benefit from HIV testing. We summarized evidence for the effectiveness, acceptability and cost-effectiveness of different models of SNA. While we did not identify an ideal model of SNA that could be immediately scaled up, for each setting and population targeted, we recommend various implementation considerations as our meta-analysis showed the effectiveness might differ due to factors which include the testing modality (i.e. use of HIV self-testing), type of test promoters, long or short duration of recruitment and use of financial incentives.

conclusionsSocial network-based approaches may enhance HIV testing uptake, increase the proportion of first-time testers and those testing positive for HIV. Heterogeneity among studies highlights the need for context-specific adaptations, but the overall positive impact of SNA on HIV testing outcomes could support its integration into existing HIV testing services.

Indexed as

HIV InfectionsHIV TestingCost-Benefit AnalysisHumansPatient Acceptance of Health CareSexual PartnersSocial NetworkingSocial SupportHIVkey populationssocial network‐based testingsystematic reviewtestingtest promoters

Identifiers

PMID39252193
PMCPMC11386243

What OpenQuestion holds

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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.