Evidence map›Paper›PMID 37986939›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis.

Siyue Hu, Fengshi Jing, Chengxin Fan, Yifan Dai, Yewei Xie, Yi Zhou, Hang Lv, Xi He, Dan Wu, Joseph D Tucker and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 4 countries.

Siyue HuDermatology Hospital of Southern Medical University, Guangzhou, China.ORCID 0009-0006-9402-9251
Fengshi JingFaculty of Data Science, City University of Macau, Taipa, Macao SAR, China.
Chengxin FanUniversity of North Carolina Project - China, Guangzhou, China.
Yifan DaiDermatology Hospital of Southern Medical University, Guangzhou, China.
Yewei XieProgramme in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Yi ZhouZhuhai Center for Diseases Control and Prevention, Zhuhai, China.
Hang LvZhuhai Center for Diseases Control and Prevention, Zhuhai, China.
Xi HeZhuhai Xutong Voluntary Services Center, Zhuhai, China.
Dan WuUniversity of North Carolina Project - China, Guangzhou, China.
Joseph D TuckerUniversity of North Carolina Project - China, Guangzhou, China.ORCID 0000-0003-2804-1181
Weiming TangDermatology Hospital of Southern Medical University, Guangzhou, China.ORCID 0000-0002-9026-707X
Guangzhou University · CNCity University of Macau · MODuke-NUS Medical School · SG

Funding

Sustaining Innovative Tools to Expand Youth-Friendly HIV Self-Testing (S-ITEST)UG1HD113156 · NICHD · WASHINGTON UNIVERSITY · PI OLIVER CHUKWUJEKWU EZECHI, Juliet Iwelunmor · 2023 to 2026
$4.8M
Pay-it-forward gonorrhea testing among men who have sex with men: The PIONEER pragmatic randomized controlled trialR01AI158826 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TANG, WEIMING, TUCKER, JOSEPH DAVID · 2021 to 2025
$3.1M
Stimulating Training and Access to HIV Research Experiences (STAR)R25AI170379 · NIAID · WASHINGTON UNIVERSITY · PI Juliet Iwelunmor, Weiming Tang · 2022 to 2026
$1.7M
Enhancing Partner Services among Men Who Have Sex with Men Living With HIV: A Pilot Randomized Controlled TrialR34MH119963 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TANG, WEIMING, TUCKER, JOSEPH DAVID · 2019 to 2021
$568k
NIAID NIH HHS R01 AI158826NIAID NIH HHS R25 AI170379NICHD NIH HHS UG1 HD113156NIMH NIH HHS R34 MH119963
6 · The paper itself

Abstract

Introduction: Social network strategies, in which social networks are utilized to influence individuals or communities, are increasingly being used to deliver human immunodeficiency virus (HIV) interventions to key populations. We summarized and critically assessed existing research on the effectiveness of social network strategies in promoting HIV self-testing (HIVST). Methods: Using search terms related to social network interventions and HIVST, we searched five databases for trials published between January 1 Results and discussion: Among the 3,745 manuscripts identified, 33 studies fulfilled the inclusion criteria, including one quasi-experimental study, 17 RCTs and 15 observational studies. Networks HIVST testing was organized by peers (distributed to known peers, 15 studies), partners (distributed to their sexual partners, 10 studies), and peer educators (distributed to unknown peers, 8 studies). The results showed that all of the three social network distribution strategies enhanced the uptake of HIV testing compared to standard facility-based testing. Among social networks, peer distribution had the highest uptake of HIV testing (79% probability, SUCRA 0.92), followed by partner distribution (72% probability, SUCRA 0.71), and peer educator distribution (66% probability, SUCRA 0.29). Pairwise meta-analysis showed that peer distribution (RR 2.29, 95% CI 1.54-3.39, 5 studies) and partner distribution (RR 1.45, 95% CI 1.05-2.02, 7 studies) also increased the probability of detecting HIV reactivity during testing within the key population when compared to the control. Linkage to ART or HIV Care remained comparable to facility-based testing across the three HIVST distribution strategies. Conclusions: Network-based HIVST distribution is considered effective in augmenting HIV testing rates and reaching marginalized populations compared to facility-based testing. These strategies can be integrated with the existing HIV care services, to fill the testing gap among key populations globally.PROSPERO Number: CRD42022361782.

Indexed as

HIV/AIDSHIV self-testinginterventionnetwork meta-analysissocial networksystematic review

Identifiers

PMID37986939
PMCPMC10659482
OpenAlexW4388408714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.