Evidence map›Paper›PMID 40293786›Full record

SynthesisJournal of medical Internet research2025

Technology-Based HIV Prevention Interventions for Men Who Have Sex With Men: Systematic Review and Meta-Analysis.

Wenting Huang, Daniel Stegmueller, Jason J Ong, Susan Schlueter Wirtz, Kunru Ning, Yuqing Wang, Guodong Mi, Fei Yu, Chenglin Hong, Jessica M Sales and 4 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

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

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

  1. Pooled it
  2. Pooled it
  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

14 authors.

Wenting HuangBehavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-0032-6986
Daniel StegmuellerDepartment of Political Science, Duke University, Durham, NC, United States.ORCID 0000-0003-3188-1253
Jason J OngMelbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.ORCID 0000-0001-5784-7403
Susan Schlueter WirtzDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0001-7974-9206
Kunru NingDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0009-0009-8623-7992
Yuqing WangDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0009-0009-1492-0063
Guodong MiDanlan Beijing Media Limited, Beijing, China.ORCID 0000-0002-0401-7753
Fei YuDanlan Beijing Media Limited, Beijing, China.ORCID 0000-0003-2622-6588
Chenglin HongSchool of Social Work, University of Connecticut, Hartford, CT, United States.ORCID 0000-0002-9652-388X
Jessica M SalesBehavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-1571-8192
Yufen LiuNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-1693-0339
Stefan D BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-5482-2419
Patrick S SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7728-0587
Aaron J SieglerDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0001-5553-7540

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Population-based survey of SARS-CoV-2 infection and immune responseR01AI143875 · NIAID · EMORY UNIVERSITY · PI SIEGLER, AARON JULIUS, SULLIVAN, PATRICK SEAN · 2019 to 2023
$9.2M
The Johns Hopkins and Emory University AIDS Research Center – Center for HIV and Mental Health Stigma Elimination Strategies (CHIMES) P30MH136919 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Stefan David Baral, Patrick Sean Sullivan · 2024 to 2026
$2.9M
NIAID NIH HHS P30 AI050409NIAID NIH HHS R01 AI143875NIMH NIH HHS P30 MH136919
6 · The paper itself

Abstract

backgroundThere remain unmet HIV prevention needs in China, particularly among gay, bisexual, and other men who have sex with men. Technology-based interventions are increasingly used in HIV prevention worldwide.

objectiveWe aimed to conduct a systematic review and meta-analysis of studies to assess the effectiveness of technology-based HIV prevention interventions to improve HIV testing and consistent condom use in China.

methodsWe searched English-language (PubMed and MEDLINE, Embase, and Web of Science) and Chinese-language (Wanfang, WEIPU, and China National Knowledge Infrastructure) databases for technology-based HIV prevention intervention studies published between January 1, 2004, and September 30, 2021. Eligible studies were technology-based HIV prevention intervention studies with outcomes of HIV testing or condom use among men who have sex with men or transgender women using randomized controlled or nonrandomized pretest-posttest designs in China. The intervention technologies identified were apps, web pages, and other types of electronic communications (eg, email, SMS text messages, and video messages). A Bayesian meta-analysis was conducted to estimate the pooled effect size and 95% credible interval (CrI). We added study and intervention features as covariates to explore their associations with the study effects. Study quality was assessed using the integrated quality criteria for review of multiple study designs. Publication bias was assessed using funnel plots and robust Bayesian meta-analyses.

resultsWe identified 1214 and 1691 records from English-language and Chinese-language databases, respectively. A total of 141 records entered full-text screening, and 24 (17%) studies were eligible for the review. Approximately half (14/24, 58%) of the interventions were delivered through social media platforms, predominantly using message-based communication. The remaining studies used email and web-based platforms. The pooled effect sizes estimated were an absolute increase of 20% (95% CrI 10%-30%) in HIV testing uptake and an absolute increase of 15% (95% CrI 5%-26%) in consistent condom use. The pooled point estimate of the effect of randomized controlled trials was smaller than that of nonrandomized studies for HIV testing uptake (16% vs 23%) and consistent condom use (10% vs 19%), but their CrIs largely overlapped. Interventions lasting >6 months were associated with a 35% greater uptake of HIV testing (95% CrI 19%-51%) compared to those lasting 6 months.

conclusionsTechnology-based HIV prevention interventions are promising strategies to improve HIV testing uptake and consistent condom use among men who have sex with men in China, with significant effects found across a broad array of studies and study designs. However, many studies in this review did not include randomized designs or a control group. More rigorous study designs, such as randomized controlled trials, are needed, with outcome measurements that address the limitation of self-report outcomes to inform the development and implementation of future intervention programs.

trial registrationPROSPERO CRD42021270856; https://www.crd.york.ac.uk/PROSPERO/view/CRD42021270856.

Indexed as

HIV InfectionsHomosexuality, MaleChinaCondomsHumansMaleSexual and Gender MinoritiesText MessagingBayesianHIVmen who have sex with menmeta-analysissystematic reviewtelemedicine

Identifiers

PMID40293786
PMCPMC12070019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.