Evidence map›Paper›PMID 32449685›Full record

SynthesisJournal of medical Internet research2020

The Effectiveness of Electronic Health Interventions for Promoting HIV-Preventive Behaviors Among Men Who Have Sex With Men: Meta-Analysis Based on an Integrative Framework of Design and Implementation Features.

Meiqi Xin, Kasisomayajula Viswanath, Angela Yuen-Chun Li, Wangnan Cao, Yuhong Hu, Joseph Tak-Fai Lau, Phoenix Kit-Han Mo

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Observational
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  11. How the smartphone apps can improve your sexual wellbeing.International journal of impotence research · 2024
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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

7 authors.

Meiqi XinJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-8636-4918
Kasisomayajula ViswanathTH Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0002-4795-5803
Angela Yuen-Chun LiJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-1358-5701
Wangnan CaoCenter for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, RI, United States.ORCID 0000-0002-6163-2760
Yuhong HuSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-5155-958X
Joseph Tak-Fai LauJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-2344-7107
Phoenix Kit-Han MoJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-9822-5424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disproportionately high prevalence of HIV among men who have sex with men (MSM) is a global concern. Despite the increasing utilization of electronic health (eHealth) technology in the delivery of HIV prevention interventions, few studies have systematically explored its effectiveness and association with various intervention characteristics.

objectiveThis study aimed to conduct a meta-analysis of the effectiveness of eHealth technology-based interventions for promoting HIV-preventive behaviors among MSM and to determine effectiveness predictors within a framework integrating design and implementation features.

methodsA systematic literature search using terms related to eHealth technology, HIV, the MSM population, and an experimental study design was performed using 5 databases (ie, MEDLINE, PsycINFO, EMBASE, Web of Science, and ProQuest Dissertations & Theses) and other sources (eg, bibliographies of relevant reviews and JMIR Publications). First, primary meta-analyses were conducted to estimate the effectiveness of eHealth interventions (d

resultsA total of 46 studies were included. The overall effect sizes at end point were small but significant for all outcomes (UAI: d

conclusionsThis study provided empirical evidence for the effectiveness of eHealth interventions in promoting HIV-preventive behaviors among MSM. Features of treatment content and eHealth technology might best predict the intervention effects on UAI and HIV testing, respectively. Most importantly, intervention adherence tended to play an important role in achieving better effectiveness. The findings could help inform the development of efficacious interventions for HIV prevention in the future.

Indexed as

Electronics, MedicalHIV InfectionsHomosexuality, MaleHumansMaleAIDSHIVmeta-analysissexual and gender minoritiessystematic reviewtelemedicine

Identifiers

PMID32449685
PMCPMC7281149

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.