"Getting to Zero" Among Men Who Have Sex with Men in China: a Review of the HIV Care Continuum

Technology-Based HIV Prevention Interventions for Men Who Have Sex With Men: Systematic Review and Meta-Analysis

BACKGROUND

There remain unmet HIV prevention needs in China, particularly among gay, bisexual, and other men who have sex with men. Technology-based interventions are increasingly used in HIV prevention worldwide.

OBJECTIVE

We aimed to conduct a systematic review and meta-analysis of studies to assess the effectiveness of technology-based HIV prevention interventions to improve HIV testing and consistent condom use in China.

METHODS

We searched English-language (PubMed and MEDLINE, Embase, and Web of Science) and Chinese-language (Wanfang, WEIPU, and China National Knowledge Infrastructure) databases for technology-based HIV prevention intervention studies published between January 1, 2004, and September 30, 2021. Eligible studies were technology-based HIV prevention intervention studies with outcomes of HIV testing or condom use among men who have sex with men or transgender women using randomized controlled or nonrandomized pretest-posttest designs in China. The intervention technologies identified were apps, web pages, and other types of electronic communications (eg, email, SMS text messages, and video messages). A Bayesian meta-analysis was conducted to estimate the pooled effect size and 95% credible interval (CrI). We added study and intervention features as covariates to explore their associations with the study effects. Study quality was assessed using the integrated quality criteria for review of multiple study designs. Publication bias was assessed using funnel plots and robust Bayesian meta-analyses.

RESULTS

We identified 1214 and 1691 records from English-language and Chinese-language databases, respectively. A total of 141 records entered full-text screening, and 24 (17%) studies were eligible for the review. Approximately half (14/24, 58%) of the interventions were delivered through social media platforms, predominantly using message-based communication. The remaining studies used email and web-based platforms. The pooled effect sizes estimated were an absolute increase of 20% (95% CrI 10%-30%) in HIV testing uptake and an absolute increase of 15% (95% CrI 5%-26%) in consistent condom use. The pooled point estimate of the effect of randomized controlled trials was smaller than that of nonrandomized studies for HIV testing uptake (16% vs 23%) and consistent condom use (10% vs 19%), but their CrIs largely overlapped. Interventions lasting >6 months were associated with a 35% greater uptake of HIV testing (95% CrI 19%-51%) compared to those lasting 6 months.

CONCLUSIONS

Technology-based HIV prevention interventions are promising strategies to improve HIV testing uptake and consistent condom use among men who have sex with men in China, with significant effects found across a broad array of studies and study designs. However, many studies in this review did not include randomized designs or a control group. More rigorous study designs, such as randomized controlled trials, are needed, with outcome measurements that address the limitation of self-report outcomes to inform the development and implementation of future intervention programs.

TRIAL REGISTRATION

PROSPERO CRD42021270856; https://www.crd.york.ac.uk/PROSPERO/view/CRD42021270856.

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

BACKGROUND

Sexual health influencers (SHIs) are individuals actively sharing sexual health information with their peers, and they play an important role in promoting HIV care services, including the secondary distribution of HIV self-testing (SD-HIVST). Previous studies used a 6-item empirical leadership scale to identify SHIs. However, this approach may be biased as it does not consider individuals' social networks.

OBJECTIVE

This study used a quasi-experimental study design to evaluate how well a newly developed machine learning (ML) model identifies SHIs in promoting SD-HIVST compared to SHIs identified by a scale whose validity had been tested before.

METHODS

We recruited participants from BlueD, the largest social networking app for gay men in China. Based on their responses to the baseline survey, the ML model and scale were used to identify SHIs, respectively. This study consisted of 2 rounds, differing in the upper limit of the number of HIVST kits and peer-referral links that SHIs could order and distribute (first round ≤5 and second round ≤10). Consented SHIs could order multiple HIV self-testing (HIVST) kits and generate personalized peer-referral links through a web-based platform managed by a partnered gay-friendly community-based organization. SHIs were encouraged to share additional kits and peer-referral links with their social contacts (defined as "alters"). SHIs would receive US $3 incentives when their corresponding alters uploaded valid photographic testing results to the same platform. Our primary outcomes included (1) the number of alters who conducted HIVST in each group and (2) the number of newly tested alters who conducted HIVST in each. We used negative binomial regression to examine group differences during the first round (February-June 2021), the second round (June-November 2021), and the combined first and second rounds, respectively.

RESULTS

In January 2021, a total of 1828 men who have sex with men (MSM) completed the survey. Overall, 393 SHIs (scale=195 and ML model=198) agreed to participate in SD-HIVST. Among them, 229 SHIs (scale=116 and ML model=113) ordered HIVST on the web. Compared with the scale group, SHIs in the ML model group motivated more alters to conduct HIVST (mean difference [MD] 0.88, 95% CI 0.02-2.22; adjusted incidence risk ratio [aIRR] 1.77, 95% CI 1.07-2.95) when we combined the first and second rounds. Although the mean number of newly tested alters was slightly higher in the ML model group than in the scale group, the group difference was insignificant (MD 0.35, 95% CI -0.17 to -0.99; aIRR 1.49, 95% CI 0.74-3.02).

CONCLUSIONS

Among Chinese MSM, SHIs identified by the ML model can motivate more individuals to conduct HIVST than those identified by the scale. Future research can focus on how to adapt the ML model to encourage newly tested individuals to conduct HIVST.

TRIAL REGISTRATION

Chinese Clinical Trials Registry ChiCTR2000039632; https://www.chictr.org.cn/showprojEN.html?proj=63068.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12889-021-11817-2.

Providing HIV testing in men who have sex with men through a gay social networking app in China: A qualitative interview study with multisectoral service providers

Objective

We explored the feasibility of app-based HIV testing services (AHTS) among men who have sex with men (MSM) according to the perspectives of testing service providers.

Methods

Twenty-one current or previous AHTS providers participated in a semi-structured interview which explored the facilitators and barriers to AHTS. Ten participants originating from the Center for Disease Control and Prevention (CDC) and 11 from the non-governmental organization (NGO) in Shijiazhuang, China took part in this study. Interviews was transcribed verbatim, and the socioecological model (SEM) was applied to thematic analysis.

Results

Twenty-one participants from AHTS services commented on the integration of online appointment schedules into HIV testing services. AHTS was deemed a convenient and efficient method for MSM and service providers to choose their preferred location and times. Moreover, it allowed for important HIV-related information to be accessed online and targeted toward at-risk individuals. Participants thought MSM may feel unsure about personal information security being stored within a privatized app and was considered a barrier to AHTS's usability. As such, they believed establishing a government-led national online platform for AHTS would allow for greater trust from MSM, rather than a social media app.

Conclusion

By linking booking services to an online platform, AHTS was deemed a convenient and efficient method for HIV testing services, especially for young MSM who are familiar with smartphone applications. To improve the use of these services, AHTS apps should focus on ensuring the confidentiality of personal information and internet security to build trust between MSM and service providers.

Factors Associated With HIV Testing Among MSM in Guilin, China: Results From a Cross-Sectional Study

Objectives: The objective of this study is to explore factors affecting the HIV testing behaviors among men who have sex with men (MSM) in China.

Methods: A cross-sectional study was conducted in Guilin, China from April to June of 2021. Questionnaire data of 300 MSM were analyzed, and binary logistic regression models were used to examine the socio-demographic and sexual behavior characteristics associated with three HIV testing behaviors (self-testing, institutional testing, and regular testing).

Results: The results showed that half of the respondents had the habit of regular HIV testing. Only 30.0% of MSM chose to do HIV testing after high-risk sexual behavior, and self-perceived luck was the main reason for not having HIV testing. Moreover, the influencing factors of three HIV testing behaviors after high-risk sexual behavior differ. Interestingly, income was not related to any of the three HIV testing behaviors among those MSM who participated.

Conclusion: This research indicates insufficient health education on HIV testing behaviors among MSM in China. Health promotion practices targeting the MSM population to improve HIV-related knowledge, thus contributing to the HIV epidemic, are required.

User Preferences for an mHealth Approach to Support HIV Self-Testing and Linkage to HIV Prevention or Care Services for MSM in China

This research qualitatively explored user preferences for an app-based mHealth approach to support HIV self-testing and linkage to HIV prevention or care services developed for men who have sex with men (MSM) in China. We conducted 12 online focus group discussions with MSM participants (N = 48) about their preferences for using an app to meet their HIV self-testing and service linkage needs. Data were examined using thematic analysis. Participants specified four domains to align program delivery with their preferences for app-based intervention: (1) expanding HIV prevention/antiretroviral therapy concepts beyond basic knowledge; (2) enhancing the style and presentation of app-based messages; (3) incorporating interactive and dynamic app-engagement features; and (4) creating a "one station" app that covers the continuum of HIV services. Given the changing landscapes of HIV knowledge and community/user preferences for app-based interaction, findings underscore how engagement with end-user participants is essential to optimize mHealth interventions for HIV.

The Enigma of the Human Immunodeficiency Virus (HIV) Epidemic in China

Nearly 17 years ago China launched its National HIV/AIDS Response Program, yet the epidemic still is not slowing. New cases and new deaths increase every year—in 2005, 40 711 people living with human immunodeficiency virus (HIV; PLWH) were diagnosed and 5729 died, whereas in 2019, 148 598 PLWH were diagnosed and 31 522 died. Moreover, the estimated PLWH population in China has risen to >1.25 million. However, epidemic data are worryingly complex and difficult to interpret, presenting challenges to the redirection and refocusing of efforts toward achievement of control. Here we present three “windows” into China’s epidemic data. From these viewpoints, it appears we still do not know how much infection exists, how much transmission is occurring, and in what contexts transmission happens. The enigma that is China’s HIV epidemic must be better understood. A new research agenda must be developed and executed if we are to change the future of HIV in China.

A Systematic Review of Technology-Assisted HIV Testing Interventions

PURPOSE OF REVIEW

The purpose of this review is to describe and assess the literature on mobile health (mHealth) and other technology-based HIV testing interventions published in the 5-year period from 2015 to 2020.

RECENT FINDINGS

We identified 18 published technology-based studies, 6 of which were efficacy trials and the remaining 12 were either pilot randomized controlled trials (RCTs) or quasi-experimental studies. Most (n = 10) interventions were conducted outside the USA, including countries in Sub-Saharan Africa (n = 4), China (n = 3), Latin America (n = 2), and India (n = 1). All efficacy trials showed some evidence of efficacy, although uptake of HIV testing was low among in intervention trials that consisted of a low number of text messages. Most pilot RCTs demonstrated high levels of feasibility and acceptability, as well as some evidence that the intervention participants benefited more than the control group. Many non-randomized trials similarly reported positive appraisal by study participants. Recommendations for future research and practice by the authors of the studies reviewed here are summarized. Technology-assisted HIV testing interventions may be an important strategy to reach national and global targets for HIV status awareness in the general population and for most at-risk groups. Although there appears to be growing evidence of their benefit, questions linger regarding how to leverage existing social media platforms to promote HIV testing, which interventions work for what populations, and best practices for scaling up mHealth and other technology-based interventions.