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Liu Z, Huang H, Yue T, Gebregziabher NK, Gong H, Xu P, Dong X, Liu Y, Wu Z, Guo Y, Ning T, Li L, Zheng M, Yang J, Ma J, Li C, Yu M, Cui Z. Standardly Trained Peer Volunteer-Led, Social App Recruiting-Based Human Immunodeficiency Virus Testing Strategy Using Rapid Testing Kits (SPARK) Among Men Who Have Sex With Men: A Population-Based Survey Evaluation. Open Forum Infect Dis 2024; 11:ofae709. [PMID: 39679350 PMCID: PMC11639573 DOI: 10.1093/ofid/ofae709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 11/29/2024] [Indexed: 12/17/2024] Open
Abstract
Background Social app recruiting-based and peer-led testing strategies have been proven effective in increasing human immunodeficiency virus (HIV) testing among men who have sex with men (MSM), though their combination remains underevaluated. We aimed to assess the efficiency of a combined strategy named "standardly trained peer volunteer-led, social app recruiting-based HIV testing strategy using rapid testing kits" (SPARK). Methods Between March 2020 and December 2021, 177 trained peer volunteers tested 7256 eligible MSM testers. Volunteers primarily recruited testers to undergo HIV testing and counseling in social apps. Volunteers tested testers with HIV rapid antibody tests and interviewed testers while waiting for the results. Moreover, HIV testing data from other testing strategies, both pre- and postimplementation of SPARK, were collected to evaluate the capacity of SPARK to increase HIV testing. Results During this study, MSM testers underwent 10 441 HIV tests; HIV testing volume increased 3-fold from 2020 to 2021. On average, each volunteer recruited 40.99 testers and facilitated 58.99 HIV tests. After SPARK implementation, HIV tests in 2021 increased 1-fold compared with those in 2019; especially for rural MSM testers, the number of HIV tests performed in 2020 and 2021 increased to 2.86 and 5.85 times, respectively, that in 2019. In spatial analysis, most testers sought geographical proximity volunteers for testing; similarly, most testers recruited were from volunteers' own or nearby districts. More than 60% of HIV tests were performed outside of working hours on weekdays, regardless of whether the testers came from urban, periurban, or rural areas. Conclusions SPARK, an MSM-friendly, geographically accessible, and time-flexible testing strategy, has the potential to promote HIV testing among MSM.
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Affiliation(s)
- Zhongquan Liu
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Huijie Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Teng Yue
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Nahom Kiros Gebregziabher
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Gong
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Peng Xu
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Xiaoyue Dong
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Yi Liu
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Ziming Wu
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Yan Guo
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Tielin Ning
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Long Li
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Minna Zheng
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Jie Yang
- Head Office, Tianjin Shenlan Public Health Counseling Service Center, Tianjin, China
| | - Jun Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Changping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Maohe Yu
- Sexually Transmitted Diseases and AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
- Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Zhuang Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
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Hu S, Jing F, Fan C, Dai Y, Xie Y, Zhou Y, Lv H, He X, Wu D, Tucker JD, Tang W. Social network strategies to distribute HIV self-testing kits: a global systematic review and network meta-analysis. J Int AIDS Soc 2024; 27:e26342. [PMID: 39048927 PMCID: PMC11269052 DOI: 10.1002/jia2.26342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 07/11/2024] [Indexed: 07/27/2024] Open
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 1st January 2010 and 30th June 2023. Outcomes included uptake of HIV testing, HIV prevalence 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 Among the 4496 manuscripts identified, 39 studies fulfilled the inclusion criteria, including one quasi-experimental study, 22 randomized controlled trials and 16 observational studies. Networks HIVST testing was organized by peers (distributed to known peers, 15 studies), partners (distributed to their sexual partners, 16 studies) and peer educators (distributed to unknown peers, 8 studies). Among social networks, simulating the possibilities of ranking position, peer distribution had the highest uptake of HIV testing (84% probability), followed by partner distribution (80% probability) and peer educator distribution (74% probability). Pairwise meta-analysis showed that peer distribution (RR 2.29, 95% CI 1.54-3.39, 5 studies) and partner distribution (RR 1.76, 95% CI 1.50-2.07, 10 studies) also increased the probability of detecting HIV reactivity during testing within the key population when compared to the control. DISCUSSION All of the three social network distribution strategies enhanced the uptake of HIV testing compared to standard facility-based testing. 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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Affiliation(s)
- Siyue Hu
- Dermatology Hospital of Southern Medical UniversityGuangzhouChina
- School of Public HealthSouthern Medical UniversityGuangzhouChina
- University of North Carolina Project – ChinaGuangzhouChina
| | - Fengshi Jing
- Faculty of Data ScienceCity University of MacauTaipaChina
| | - Chengxin Fan
- University of North Carolina Project – ChinaGuangzhouChina
- School of Public HealthNanjing Medical UniversityNanjingChina
| | - Yifan Dai
- Dermatology Hospital of Southern Medical UniversityGuangzhouChina
- School of Public HealthSouthern Medical UniversityGuangzhouChina
- University of North Carolina Project – ChinaGuangzhouChina
| | - Yewei Xie
- Programme in Health Services and Systems Research, Duke‐NUS Medical SchoolSingapore
| | - Yi Zhou
- Zhuhai Center for Diseases Control and PreventionZhuhaiChina
| | - Hang Lv
- Zhuhai Center for Diseases Control and PreventionZhuhaiChina
| | - Xi He
- Zhuhai Xutong Voluntary Services CenterZhuhaiChina
| | - Dan Wu
- University of North Carolina Project – ChinaGuangzhouChina
- School of Public HealthNanjing Medical UniversityNanjingChina
- London School of Hygiene and Tropical MedicineLondonUK
| | - Joseph D. Tucker
- University of North Carolina Project – ChinaGuangzhouChina
- London School of Hygiene and Tropical MedicineLondonUK
| | - Weiming Tang
- Dermatology Hospital of Southern Medical UniversityGuangzhouChina
- University of North Carolina Project – ChinaGuangzhouChina
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Chen S, Fang Y, Chan PSF, Kawuki J, Mo P, Wang Z. Counseling Supporting HIV Self-Testing and Linkage to Care Among Men Who Have Sex With Men: Systematic Review and Meta-Analysis. JMIR Public Health Surveill 2024; 10:e45647. [PMID: 38265866 PMCID: PMC10851126 DOI: 10.2196/45647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 10/06/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Counseling supporting HIV self-testing (HIVST) is helpful in facilitating linkage to care and promoting behavior changes among men who have sex with men (MSM). Different levels of counseling support for MSM HIVST users may lead to variance in the linkage to care. OBJECTIVE This study aims to synthesize evidence on counseling supporting MSM HIVST users and to conduct a meta-analysis to quantify the proportion of MSM HIVST users who were linked to care. METHODS A systematic search was conducted using predefined eligibility criteria and relevant keywords to retrieve studies from the MEDLINE, Global Health, Web of Science, Embase, APA PsycINFO, and Scopus databases. This search encompassed papers and preprints published between July 3, 2012, and June 30, 2022. Studies were eligible if they reported counseling supporting HIVST or quantitative outcomes for linkage to care among MSM and were published in English. The screening process and data extraction followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The quality of the included studies was assessed by the National Institutes of Health quality assessment tool. Data were extracted using random effects models to combine the proportion of HIVST users who were linked to care. Subgroup analyses and metaregression were conducted to assess whether linkage to care varied according to study characteristics. All analyses were performed with R (version 4.2.1; R Foundation for Statistical Computing) using the metafor package. RESULTS A total of 55 studies published between 2014 and 2021, including 43 observational studies and 12 randomized controlled trials, were identified. Among these studies, 50 (91%) provided active counseling support and 5 (9%) provided passive counseling support. In studies providing active counseling support, most MSM HIVST users were linked to various forms of care, including reporting test results (97.2%, 95% CI 74.3%-99.8%), laboratory confirmation (92.6%, 95% CI 86.1%-96.2%), antiretroviral therapy initiation (90.8%, 95% CI 86.7%-93.7%), and referral to physicians (96.3%, 95% CI 85%-99.2%). In studies providing passive counseling support, fewer MSM HIVST users were linked to laboratory confirmation (78.7%, 95% CI 17.8%-98.4%), antiretroviral therapy initiation (79.1%, 95% CI 48.8%-93.7%), and referral to physicians (79.1%, 95% CI 0%-100%). Multivariate metaregression indicated that a higher number of essential counseling components, a smaller sample size (<300), and the use of mobile health technology to deliver counseling support were associated with better linkage to care. The quality of the studies varied from fair to good with a low to high risk of bias. CONCLUSIONS Proactively providing counseling support for all users, involving a higher number of essential components in the counseling support, and using mobile health technology could increase the linkage to care among MSM HIVST users. TRIAL REGISTRATION PROSPERO CRD42022346247; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346247.
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Affiliation(s)
- Siyu Chen
- Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Yuan Fang
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Paul Shing-Fong Chan
- Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Joseph Kawuki
- Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Phoenix Mo
- Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Zixin Wang
- Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
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Zhou H, Zhu YY, Gao YY, Chu ZX, Chen S, Liu M, Jiang YJ, Hu QH, Shang H. Online distribution of HIV self-testing kits to promote HIV testing among men who have sex with men discontinuing pre-exposure prophylaxis after demonstration project completion in China: a multicentre open-label randomized controlled trial. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 41:100922. [PMID: 37867621 PMCID: PMC10587720 DOI: 10.1016/j.lanwpc.2023.100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/31/2023] [Accepted: 09/15/2023] [Indexed: 10/24/2023]
Abstract
Background HIV self-testing (HIVST) offers potential solutions to challenges associated with site-based HIV testing (SBHT). However, the effectiveness of HIVST as an HIV prevention strategy for men who have sex with men (MSM) discontinuing pre-exposure prophylaxis (PrEP) after the completion of PrEP demonstration project has rarely been assessed. Methods The China Real-world Study of Oral PrEP (CROPrEP) project was conducted in four cities in China. Participants were directed to community resources to continue their PrEP medication after the discontinuation of project-provided PrEP at the last CROPrEP visit. We conducted a multicentre open-label randomized controlled trial among MSM who had discontinued PrEP induced by the completion of CROPrEP. Eligible participants were randomly assigned to either the intervention group or the control group (1:1). Participants received regular health education and behavioural interventions throughout the trial. The intervention group was given a link to order free HIVST kits online, while the control group received information about free SBHT. Both groups completed internet-based follow-up surveys at three and six months. The primary outcome was the proportion of participants who underwent HIV testing during the six-month follow-up period. This trial was registered at chictr.org.cn (ChiCTR2000038416). Findings Between November 2020 and January 2021, we recruited a total of 620 participants (300 in the intervention group and 320 in the control group). The follow-up completion rates were 99·0% and 95·0% in the intervention and control groups, respectively. At baseline, the median age of participants was 32 (interquartile range: 26-37), and 77·7% underwent HIV testing in the past three months. The proportion of participants who underwent HIV testing in the past three months was higher in the intervention group than in the control group at both the three-month (adjusted risk difference [RD]: 36·7, 95% confidence interval [CI]: 35·1-38·5, p < 0·001) and six-month (RD: 26·7, 95% CI: 24·6-28·7 p < 0·001) follow-up periods. Interpretation Our study suggests that providing online distribution of HIVST kits for MSM with PrEP discontinuation induced by completion of the PrEP project effectively promoted HIV testing. This digital approach improves access to HIV testing for MSM and can be applicable to other settings where MSM turn to online public health services. Funding The study was funded by the Fund of National Natural Science Foundation of China; the Mega-Projects of National Science Research for the 13th Five-Year Plan; and the Liaoning Revitalization Talents Program, China.
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Affiliation(s)
- Hui Zhou
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yan-Yan Zhu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yang-Yang Gao
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Zhen-Xing Chu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Shuo Chen
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Miao Liu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yong-Jun Jiang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Qing-Hai Hu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hong Shang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Centre for Laboratory Medicine, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
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Hu S, Jing F, Fan C, Dai Y, Xie Y, Zhou Y, Lv H, He X, Wu D, Tucker JD, Tang W. Social Network Strategies to Distribute HIV Self-testing Kits: A Global Systematic Review and Network Meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.05.23298135. [PMID: 37986939 PMCID: PMC10659482 DOI: 10.1101/2023.11.05.23298135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
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 1st, 2010, and June 30th, 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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Affiliation(s)
- Siyue Hu
- Dermatology Hospital of Southern Medical University, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
- University of North Carolina Project – China, Guangzhou, China
| | - Fengshi Jing
- Faculty of Data Science, City University of Macau, Taipa, Macao SAR, China
| | - Chengxin Fan
- University of North Carolina Project – China, Guangzhou, China
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yifan Dai
- Dermatology Hospital of Southern Medical University, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
- University of North Carolina Project – China, Guangzhou, China
| | - Yewei Xie
- Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Yi Zhou
- Zhuhai Center for Diseases Control and Prevention, Zhuhai, China
| | - Hang Lv
- Zhuhai Center for Diseases Control and Prevention, Zhuhai, China
| | - Xi He
- Zhuhai Xutong Voluntary Services Center, Zhuhai, China
| | - Dan Wu
- University of North Carolina Project – China, Guangzhou, China
- School of Public Health, Nanjing Medical University, Nanjing, China
- London School of Hygiene and Tropical Medicine, London, UK
| | - Joseph D. Tucker
- University of North Carolina Project – China, Guangzhou, China
- London School of Hygiene and Tropical Medicine, London, UK
| | - Weiming Tang
- Dermatology Hospital of Southern Medical University, Guangzhou, China
- University of North Carolina Project – China, Guangzhou, China
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Zhao B, Song W, Kang M, Dong X, Li X, Wang L, Liu J, Tian W, Ding H, Chu Z, Wang L, Qiu Y, Han X, Shang H. Molecular Network Analysis Discloses the Limited Contribution to HIV Transmission for Patients with Late HIV Diagnosis in Northeast China. ARCHIVES OF SEXUAL BEHAVIOR 2023; 52:679-687. [PMID: 36539633 PMCID: PMC9886604 DOI: 10.1007/s10508-022-02492-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/17/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
In the "treat all" era, the high rate of late HIV diagnosis (LHD) worldwide remains an impediment to ending the HIV epidemic. In this study, we analyzed LHD in newly diagnosed people living with HIV (PLWH) and its impact on HIV transmission in Northeast China. Sociodemographic information, baseline clinical data, and plasma samples obtained from all newly diagnosed PLWH in Shenyang, the largest city in Northeast China, between 2016 and 2019 were evaluated. Multivariate logistic regression analysis was performed to identify risk factors associated with LHD. A molecular network based on the HIV pol gene was constructed to assess the risk of HIV transmission with LHD. A total of 2882 PLWH, including 882 (30.6%) patients with LHD and 1390 (48.2%) patients with non-LHD, were enrolled. The risk factors for LHD were older age (≥ 30 years: p < .01) and diagnosis in the general population through physical examination (p < .0001). Moreover, the molecular network analysis revealed that the clustering rate (p < .0001), the fraction of individuals with ≥ 4 links (p = .0847), and the fraction of individuals linked to recent HIV infection (p < .0001) for LHD were significantly or marginally significantly lower than those recorded for non-LHD. Our study indicates the major risk factors associated with LHD in Shenyang and their limited contribution to HIV transmission, revealing that the peak of HIV transmission of LHD at diagnosis may have been missed. Early detection, diagnosis, and timely intervention for LHD may prevent HIV transmission.
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Affiliation(s)
- Bin Zhao
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Wei Song
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Mingming Kang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xue Dong
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Xin Li
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Lu Wang
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Jianmin Liu
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Wen Tian
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Haibo Ding
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Zhenxing Chu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Lin Wang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yu Qiu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaoxu Han
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hong Shang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, No 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China.
- Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
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7
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Xiu X, Qin Y, Bao Y, Chen Y, Wu H, Huang X, Wang L. The Practice and Potential Role of HIV Self-testing in China: Systematic Review and Meta-analysis. JMIR Public Health Surveill 2022; 8:e41125. [PMID: 36459393 PMCID: PMC9758640 DOI: 10.2196/41125] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/15/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND HIV self-testing (HIVST) is recommended by the World Health Organization as a valid approach to routine HIV testing services. The scale of HIVST use has gradually been expanded in China over the past 5 years. To take a closer look at the role of HIVST in China, we reviewed the promotion and application of HIVST within China. OBJECTIVE The main objective of this study was to systematically analyze the proportion of past use and actual uptake of HIVST within China. Moreover, we aimed to quantify the effect of HIVST on HIV prevention and treatment. METHODS In all, 5 medical databases and 2 registration systems, including PubMed, Web of Science, MEDLINE, WanFang, China National Knowledge Internet, ClinicalTrials.gov, and the Chinese Clinical Trial Registry were systematically searched for studies reporting the prevalence of HIVST use from January 1, 2010, to December 25, 2021. Meta-analyses of the pooled proportion estimates were carried out by the meta-package in R software (version 4.1.2). Statistical heterogeneity among the studies was estimated using Cochran Q test and the inconsistency index (I2). RESULTS A total of 50 studies were included in our systematic review. The estimated pooled prevalence of HIVST use in China was 29.9% (95% CI 22.5%-37.9%). Among individuals who have ever used HIVST, 47.5% (95% CI 37.2%-57.8%) were tested for HIV for the first time. The pooled reactive rate of HIVST was 4.2% (95% CI 3.1%-5.8%). When HIVST revealed a reactive result, 81.3% (95% CI 70.9%-91.6%) of individuals sought medical care. CONCLUSIONS In recent times, HIVST has become a valuable tool for HIV prevention in China. The widespread use of HIVST in non-men who have sex with men populations needs to be endorsed and promoted. The long-term applications of HIVST and the potential consequences of self-financing of HIVST in China have yet to be explored. TRIAL REGISTRATION PROSPERO CRD42022304846; https://tinyurl.com/54d9pxy8.
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Affiliation(s)
- Xiangfei Xiu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Qin
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Yugang Bao
- AIDS Healthcare Foundation, Beijing, China
| | - Yaokai Chen
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Hao Wu
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Lu Wang
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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8
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Xu Q, Nali MC, McMann T, Godinez H, Li J, He Y, Cai M, Lee C, Merenda C, Araojo R, Mackey TK. Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR INFODEMIOLOGY 2022; 2:e35446. [PMID: 37113799 PMCID: PMC10014091 DOI: 10.2196/35446] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/18/2022] [Accepted: 03/07/2022] [Indexed: 04/29/2023]
Abstract
Background Among racial and ethnic minority groups, the risk of HIV infection is an ongoing public health challenge. Pre-exposure prophylaxis (PrEP) is highly effective for preventing HIV when taken as prescribed. However, there is a need to understand the experiences, attitudes, and barriers of PrEP for racial and ethnic minority populations and sexual minority groups. Objective This infodemiology study aimed to leverage big data and unsupervised machine learning to identify, characterize, and elucidate experiences and attitudes regarding perceived barriers associated with the uptake and adherence to PrEP therapy. This study also specifically examined shared experiences from racial or ethnic populations and sexual minority groups. Methods The study used data mining approaches to collect posts from popular social media platforms such as Twitter, YouTube, Tumblr, Instagram, and Reddit. Posts were selected by filtering for keywords associated with PrEP, HIV, and approved PrEP therapies. We analyzed data using unsupervised machine learning, followed by manual annotation using a deductive coding approach to characterize PrEP and other HIV prevention-related themes discussed by users. Results We collected 522,430 posts over a 60-day period, including 408,637 (78.22%) tweets, 13,768 (2.63%) YouTube comments, 8728 (1.67%) Tumblr posts, 88,177 (16.88%) Instagram posts, and 3120 (0.6%) Reddit posts. After applying unsupervised machine learning and content analysis, 785 posts were identified that specifically related to barriers to PrEP, and they were grouped into three major thematic domains: provider level (13/785, 1.7%), patient level (570/785, 72.6%), and community level (166/785, 21.1%). The main barriers identified in these categories included those associated with knowledge (lack of knowledge about PrEP), access issues (lack of insurance coverage, no prescription, and impact of COVID-19 pandemic), and adherence (subjective reasons for why users terminated PrEP or decided not to start PrEP, such as side effects, alternative HIV prevention measures, and social stigma). Among the 785 PrEP posts, we identified 320 (40.8%) posts where users self-identified as racial or ethnic minority or as a sexual minority group with their specific PrEP barriers and concerns. Conclusions Both objective and subjective reasons were identified as barriers reported by social media users when initiating, accessing, and adhering to PrEP. Though ample evidence supports PrEP as an effective HIV prevention strategy, user-generated posts nevertheless provide insights into what barriers are preventing people from broader adoption of PrEP, including topics that are specific to 2 different groups of sexual minority groups and racial and ethnic minority populations. Results have the potential to inform future health promotion and regulatory science approaches that can reach these HIV and AIDS communities that may benefit from PrEP.
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Affiliation(s)
- Qing Xu
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
| | - Matthew C Nali
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
- Global Health Program, Department of Anthropology University of California La Jolla, CA United States
| | - Tiana McMann
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
- Global Health Program, Department of Anthropology University of California La Jolla, CA United States
| | | | - Jiawei Li
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
| | - Yifan He
- S-3 Research San Diego, CA United States
| | - Mingxiang Cai
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
| | - Christine Lee
- Office of Minority Health and Health Equity, U.S. Food and Drug Administration Silver Spring, MD United States
| | - Christine Merenda
- Office of Minority Health and Health Equity, U.S. Food and Drug Administration Silver Spring, MD United States
| | - Richardae Araojo
- Office of Minority Health and Health Equity, U.S. Food and Drug Administration Silver Spring, MD United States
| | - Tim Ken Mackey
- S-3 Research San Diego, CA United States
- Global Health Policy and Data Institute San Diego, CA United States
- Global Health Program, Department of Anthropology University of California La Jolla, CA United States
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