Evidence map›Paper›PMID 37656500›Full record

Trial reportJournal of medical Internet research2023

Using HIV Risk Self-Assessment Tools to Increase HIV Testing in Men Who Have Sex With Men in Beijing, China: App-Based Randomized Controlled Trial.

Qianqian Luo, Zunyou Wu, Guodong Mi, Jie Xu, Sarah Robbins Scott

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03320239 (Using HIV Risk Assessment Tool to Promote HIV Testing Among Men Who Have Sex With Men in Beijing), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT03320239 naunknown statusnot on this map

Using HIV Risk Assessment Tool to Promote HIV Testing Among Men Who Have Sex With Men in Beijing: a Social Media-based Randomized Trial

TypeinterventionalSponsorNational Center for AIDS/STD Control and Prevention, China CDCRan2017 to 2018Enrolled4,500ConditionsHIV/AIDS, HIV Infections, Social MediaArmsHIV risk assessment and tailored suggestions, HIV risk behavior assessment, placebo control
3 · Its place in the literature

Who cites it

10 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

5 authors.

Qianqian LuoSchool of Nursing, Binzhou Medical University, Yantai, China.ORCID 0000-0003-1424-4797
Zunyou WuThe National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-0839-4548
Guodong MiThe National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-0401-7753
Jie XuThe National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0009-0007-8433-505X
Sarah Robbins ScottThe National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-0455-644X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen who have sex with men (MSM) in China hold a low-risk perception of acquiring HIV. This has resulted in an inadequate HIV testing rate.

objectiveThis study aims to investigate whether administering HIV risk self-assessments with tailored feedback on a gay geosocial networking (GSN) app could improve HIV testing rates and reduce sexual risk behaviors in Chinese MSM.

methodsWe recruited MSM from Beijing, China, who used the GSN platform Blued in October 2017 in this 12-month double-blinded randomized controlled trial. From October 2017 to September 2018, eligible participants were randomly assigned to use a self-reported HIV risk assessment tool that provided tailored feedback according to transmission risk (group 1), access to the same HIV risk assessment without feedback (group 2), or government-recommended HIV education materials (control). All interventions were remotely delivered through the mobile phone-based app Blued, and participants were followed up at 1, 3, 6, and 12 months from baseline. The number of HIV tests over the 12-month study was the primary outcome and was assessed using an intention-to-treat analysis with an incident rate ratio (IRR). Unprotected anal intercourse (UAI) over 6 months was assessed by a modified intention-to-treat analysis and was the secondary outcome. All statistical analyses were conducted in SAS 9.3 (SAS Institute, Inc.), and a P value <.05 was considered statistically significant.

resultsIn total, 9280 MSM were recruited from baseline and were randomly assigned to group 1 (n=3028), group 2 (n=3065), or controls (n=3187). After follow-up, 1034 (34.1%), 993 (32.4%), and 1103 (34.6%) remained in each group, respectively. Over 12 months, group 1 took 391 tests (mean of 2.51 tests per person), group 2 took 352 tests (mean of 2.01 tests per person), and controls took 295 tests (mean of 1.72 tests per person). Group 1 had significantly more HIV testing than the control group (IRR 1.32, 95% CI 1.09-4.58; P=.01), while group 2 did not differ significantly from the controls (IRR 1.06, 95% CI 0.86-1.30; P=.60). The proportion of UAI was not statistically different among different groups, but all 3 groups had UAI, which declined from baseline.

conclusionsRepeated HIV risk assessments coupled with tailored feedback through GSN apps improved HIV testing. Such interventions should be considered a simple way of improving HIV testing among MSM in China and increasing awareness of HIV status.

trial registrationClinicalTrials.gov NCT03320239; https://clinicaltrials.gov/study/NCT03320239.

Indexed as

HIV InfectionsMobile ApplicationsSexual and Gender MinoritiesBeijingChinaHIV TestingHomosexuality, MaleHumansMaleSelf-AssessmentappChinaHIV testingmen who have sex with menrisk assessment

Identifiers

PMID37656500
PMCPMC10504623

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Registered trials

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.