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

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 effective...

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Autores principales: Hu, Siyue, Jing, Fengshi, Fan, Chengxin, Dai, Yifan, Xie, Yewei, Zhou, Yi, Lv, Hang, He, Xi, Wu, Dan, Tucker, Joseph D., Tang, Weiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659482/
https://www.ncbi.nlm.nih.gov/pubmed/37986939
http://dx.doi.org/10.1101/2023.11.05.23298135
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author Hu, Siyue
Jing, Fengshi
Fan, Chengxin
Dai, Yifan
Xie, Yewei
Zhou, Yi
Lv, Hang
He, Xi
Wu, Dan
Tucker, Joseph D.
Tang, Weiming
author_facet Hu, Siyue
Jing, Fengshi
Fan, Chengxin
Dai, Yifan
Xie, Yewei
Zhou, Yi
Lv, Hang
He, Xi
Wu, Dan
Tucker, Joseph D.
Tang, Weiming
author_sort Hu, Siyue
collection PubMed
description 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(st), 2010, and June 30(th), 2023. Outcomes included uptake of HIV testing, HIV seroconversion, and linkage to antiretroviral therapy (ART) or HIV Care. We used network meta-analysis to assess the uptake of HIV testing through social network strategies compared with control methods. A pairwise meta-analysis of studies with a comparison arm that reported outcomes was performed to assess relative risks (RR) and their corresponding 95% confidence intervals (CI). 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
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spelling pubmed-106594822023-11-20 Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis Hu, Siyue Jing, Fengshi Fan, Chengxin Dai, Yifan Xie, Yewei Zhou, Yi Lv, Hang He, Xi Wu, Dan Tucker, Joseph D. Tang, Weiming medRxiv Article 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(st), 2010, and June 30(th), 2023. Outcomes included uptake of HIV testing, HIV seroconversion, and linkage to antiretroviral therapy (ART) or HIV Care. We used network meta-analysis to assess the uptake of HIV testing through social network strategies compared with control methods. A pairwise meta-analysis of studies with a comparison arm that reported outcomes was performed to assess relative risks (RR) and their corresponding 95% confidence intervals (CI). 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 Cold Spring Harbor Laboratory 2023-11-06 /pmc/articles/PMC10659482/ /pubmed/37986939 http://dx.doi.org/10.1101/2023.11.05.23298135 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Hu, Siyue
Jing, Fengshi
Fan, Chengxin
Dai, Yifan
Xie, Yewei
Zhou, Yi
Lv, Hang
He, Xi
Wu, Dan
Tucker, Joseph D.
Tang, Weiming
Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title_full Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title_fullStr Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title_full_unstemmed Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title_short Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis
title_sort social network strategies to distribute hiv self-testing kits: a global systematic review and network meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659482/
https://www.ncbi.nlm.nih.gov/pubmed/37986939
http://dx.doi.org/10.1101/2023.11.05.23298135
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