Evidence map›Paper›PMID 37318850›Full record

Trial reportJournal of medical Internet research2023

Delivery of WeChat-Based HIV Result e-Reports in Social Networks for Recruitment of High-Risk Population: Baseline Data From a Cluster Randomized Controlled Trial.

Ju-Shuang Li, Yu-Zhou Gu, Feng-Su Hou, Yong-Heng Lu, Xiao-Ru Fan, Jia-Ling Qiu, Qing-Ling Yang, Jing Gu, Jing-Hua Li, Dong Roman Xu and 1 more

Open access · goldAbstract 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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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 citations in OpenAlex.

  1. Trial
  2. Article
  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

11 authors at 4 institutions in 1 country.

Ju-Shuang Li *Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-5906-0265
Yu-Zhou Gu *Guangzhou Center for Disease Control and Prevention, Guangzhou, China.ORCID 0000-0002-9187-9190
Feng-Su Hou *Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0001-5869-4365
Yong-Heng LuGuangzhou Lingnan Community Support Center, Guangzhou, China.ORCID 0009-0008-1977-7449
Xiao-Ru FanDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0009-0001-3098-9652
Jia-Ling QiuDepartment of Public Health, Guangdong Women and Children Hospital, Guangzhou, China.ORCID 0000-0002-0416-8535
Qing-Ling YangDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-2058-9970
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0001-5436-2339
Jing-Hua LiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-9571-7359
Dong Roman XuCenter for World Health Organization Studies, School of Health Management, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7438-632X
Chun HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-9881-6504
Sun Yat-sen University · CNGuangdong Province Women and Children Hospital · CNGuangzhou Center for Disease Control and Prevention · CNSouthern Medical University · CN

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundDisclosure of infectious disease status to social network peers can facilitate reaching and early detection among high-risk populations. In this era of social media, globally, HIV/AIDS represents a high burden of infectious disease. Thus, delivery of an HIV result e-report via social media presents a new approach that has the potential to improve contact with and enrollment of the high-risk population in research studies and routine practice.

objectiveThis study explores the effectiveness and associated factors of a recruitment strategy (ie, WeChat-based HIV e-report delivery in social networks) on the enrollment of men who have sex with men (MSM) for an HIV testing intervention study.

methodsThis was an enrollment result analysis of an ongoing cluster randomized controlled trial (RCT) aiming to promote HIV testing among MSM. Recruitment of potential participants was based on the unit of an egocentric social network, which includes 1 core member (an offline tested ego as the recruiter) and several network members (online alters as network associates). Alters' enrollment and alters' transformation to ego-recruiters (alter-ego) were measured as outcomes. Recruitment outcomes were compared between the exchangeable and regular e-report groups of the RCT. Associated factors of both outcomes were also investigated, including sociodemographic characteristics, health behaviors, social network characteristics, e-report types, and online delivery information. Binary outcomes were modeled using logistic models, with Firth correction for rare events. Qualitative interviews were conducted to understand facilitators and barriers in detail for alter-ego as the subsequent wave's recruiter.

resultsThe e-report of 1157 egos who tested offline were delivered to 5165 alters in 3 recruitment waves; eventually, 1162 eligible alters enrolled in this RCT (response rate: 22.5%). In the exchangeable e-report group, 544 egos recruited 467 alters, of which 35 alters transformed to alter-egos (7.5%), whereas in the regular e-report group, 613 egos recruited 695 alters, of which 40 alters transformed to alter-egos (5.8%). Alters' enrollment at first wave was associated with a higher number of e-reports being forwarded by the egos. Alters' transformation to alter-egos for the subsequent wave was associated with the exchangeable e-report, higher income, being a Guangzhou resident, unprotected anal intercourse, preferring self-testing, and viewing senders' e-reports frequently. Qualitative interviews revealed that the lack of awareness of e-reports' function and inadequate access to e-reports at offline testing facilities were major barriers to alters' transformation to offline ego-recruiters.

conclusionsThe delivery of e-report was feasible in MSM social network, and the success and sustainability of online recruitment depended on high levels of familiarity among MSM with the digital tool. The HIV e-report exchange mechanism might promote MSM to test HIV offline to get their own e-report for exchange in the community. The e-report provides an innovative recruitment method with great potential to trace direct contacts for infectious diseases studies.

Indexed as

HIV InfectionsDisclosureHomosexuality, MaleHumansMaleSexual BehaviorSocial NetworkingSociological FactorsHIV result e-reportMSMrecruitmentsocial network strategy

Identifiers

PMID37318850
PMCPMC10337306
OpenAlexW4380870383

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.