MyPEEPS Mobile LITE: Limited Interaction Efficacy Trial of MyPEEPS Mobile to Reduce HIV Incidence and Better Understand the Epidemiology of HIV among YMSM

项目总结 迫切需要更好地了解在美国获得艾滋病毒的流行病学， 尤其是在顺性男同性恋者、双性恋者和其他与男性发生性行为(MSM)的男性中，关键之一 对结束艾滋病毒流行(EHE)倡议至关重要的人群。直接响应RFA-AI-21-018， 这项研究将使用创新技术招募和留住一大批高危、艾滋病毒阴性的年轻人 男男性行为者(YMSM)，重点关注种族/少数民族YMSM和高艾滋病毒流行率 地理区域(称为“热点”)。此外，我们将利用这一群体进行大规模的 临床试验，同时保持护理控制组的标准作为纵向观察队列 流行病学分析。我们的研究团队定位独特，拥有所有相关的专业知识 这项研究在全方位的研究中成功招募和留住了12000多名YMSM 跨艾滋病毒连续体的研究(例如，流行病学、干预发展、mHealth、PrEP、临床试验、 创新的地理空间方法)。我们用基督教青年会成功地进行了预防研究。 (17-25岁)，包括种族和民族多样化的YMSM，我们的目标人口群体。此外，我们还拥有 之前利用了先进的社交媒体广告技术并使用了创新的地理空间分析 瞄准/研究“社区中的社区”，从不同的地理位置接触到难以接触到的YMSM 地区(例如，农村邮政编码、美国部落土地等)和年轻(例如，13-18岁的基督教青年会)。我们会 在36个月的注册期间，利用创新技术进行招聘，然后保留大量队列(N= 5,000)17-25岁的YMSM，大多数是黑人和拉丁裔，他们是艾滋病毒传播的高危人群 (例如，无套肛交病史)，此后每6个月跟踪一次。我们将进行一次全面的 虚拟数字临床试验(特定目标1)测试MyPEEPS Mobile(一种循证的mHealth HIV 预防干预)降低HIV阴性的YMSM(17-25岁)的HIV发病率 理论驱动的社会、生态和地理空间因素对干预摄取和效果的影响 包括与传统行为改变模式一致的措施，如信息激励 行为模型。社会-生态理论框架也将指导纵向分析 对2,500名控制组参与者进行观察性队列研究(特定目标2)，以评估个人、网络、 地理空间和公共政策与艾滋病毒风险和寻求健康行为(例如PrEP摄取)的相关性比较 艾滋病毒呈阳性的个人对那些不呈阳性的人来说。干预的含义。由此得出的结论是 研究将对研究和实践产生重要的现实意义。例如，了解如何 个人、网络、地理空间和公共政策因素与艾滋病毒发病率和 干预效果将有助于告知应该如何以及在哪里提供干预。

PROJECT SUMMARY There is a critical need to better understand the epidemiology of HIV acquisition in the United States (US), particularly among cisgender gay, bisexual and other men who have sex with men (MSM), one of the key populations essential to target for End the HIV Epidemic (EHE) initiatives. In direct response to RFA-AI-21-018, this study will use innovative technology to recruit and retain a large cohort of high-risk, HIV-negative young men who have sex with men (YMSM) focusing on racial/ethnic minority YMSM and high HIV prevalence geographic areas (known as “hot spots”). Furthermore, we will leverage this cohort to conduct a large-scale clinical trial while maintaining the standard of care control arm as a longitudinal observational cohort for epidemiologic analyses. Our study team is uniquely positioned and has all the relevant expertise to conduct this study having successfully recruited and retained more than 12,000 YMSM in a full range of research studies across the HIV continuum (e.g., epidemiology, intervention development, mHealth, PrEP, clinical trials, innovative geospatial methods). We have had specific success conducting prevention research with YMSM (17-25 years), including racially and ethnically diverse YMSM, our target demographic group. Further, we have previously leveraged advanced social media advertising techniques and used innovative geospatial analytics to target/study “communities within communities”, reaching hard-to-reach YMSM from diverse geographic areas (e.g., rural zip codes, U.S. tribal lands, etc.) and young ages (e.g., YMSM 13-18 years of age). We will harness innovative technology to recruit, during 36-months of enrollment, and then retain a large cohort (N = 5,000) of 17-25 year old YMSM, the majority being Black and Latino, who are at high-risk of HIV transmission (e.g., history of condomless anal sex) and follow them every 6 months thereafter. We will conduct an entirely virtual, digital clinical trial (Specific Aim #1) testing whether MyPEEPS Mobile (an evidence-based mHealth HIV prevention intervention) reduces HIV incidence among HIV-negative YMSM (17-25 years old) looking at the influence of theory-driven social, ecological, and geospatial factors on intervention uptake and efficacy inclusive of measures that align with traditional models of behavior change such as the Information Motivation Behavior Model. A social-ecological theoretical framework will also guide the analysis of the longitudinal observational cohort study (Specific Aim #2) of the 2,500 control arm participants to assess individual, network, geospatial, and public policy correlates of HIV risk and health seeking behaviors (e.g., PrEP uptake) comparing individuals who become HIV-positive to those who do not. Intervention Implications. The findings from this research will have important real-world implications for research and practice. For example, understanding how individual, network, geospatial, and public policy factors correlate with HIV incidence and moderate intervention effects will help inform how and where interventions should be delivered.