Integrating a combination HIV prevention intervention into a widely-used geosocial app for Chinese MSM

项目总结/摘要 已知一些艾滋病毒预防干预措施是有效的：艾滋病毒检测和与护理的联系， 适当的，使用避孕套，和艾滋病毒暴露前预防（PrEP）。然而，充分利用 这些预防服务具有挑战性。在中国，男男性行为者（MSM）是唯一 艾滋病毒病例检出率不断上升的高危人群占2014年新诊断病例的26%。的一种方法 获得更多的预防干预措施的使用将有助于个人了解什么时候他们应该 使用某些预防服务，并减少获得服务的负担。拟议研究 将涉及进行文献综述和开发数学模型，以探索不同的情况下， 为中国男男性行为人群提供艾滋病预防服务的综合干预。利用这些信息 我们将开发并试点测试一种内置于智能手机应用程序中的艾滋病毒综合干预措施。 干预措施将包括家庭护理服务，如家庭艾滋病毒自我检测和家庭预防订购 避孕套等产品。如果干预措施被证明是可行和可接受的， 设计一项更大规模的干预效果研究。该干预措施将纳入现有的、可广泛获得的 MSM使用的地理社交网络应用程序。通过将干预措施建立在一个已经被数百万人使用的平台上， 我们预计，如果干预措施被证明是有效的， 干预将是容易实现的。拟议的研究旨在开发数学模型， 一种干预措施，将减少艾滋病毒/艾滋病的发病率，满足首要的研究优先事项 在NIH艾滋病研究办公室的战略计划中确定。

PROJECT SUMMARY/ABSTRACT A number of HIV prevention interventions are known to be effective: HIV testing and linkage to care as appropriate, condom use, and HIV pre-exposure prophylaxis (PrEP). Unfortunately, achieving sufficient use of these prevention services has been challenging. In China, men who have sex with men (MSM) are the only risk group with increasing HIV case detection, representing 26% of new cases diagnosed in 2014. One way to obtain increased prevention intervention use would be to help individuals understand when they should be using certain prevention services, and to make accessing services less burdensome. The proposed research will involve conducting a literature review and developing mathematical models to explore different scenarios of providing a combination HIV prevention service intervention for MSM in China. Using information from this exercise, we will develop and pilot test a combination HIV intervention built into a smartphone app. The intervention will include home care services such as home HIV self-testing and home ordering of prevention products such as condoms. If the intervention proves to be feasible and acceptable, the pilot test will facilitate design of a larger study of intervention efficacy. The intervention will be built into an existing, widely-accessed geosocial networking app used by MSM. By building the intervention into a platform already used by millions of individuals, we anticipate that, in the event that the intervention is demonstrated to be efficacious, scale-up of the intervention will be readily achievable. The proposed research seeks to develop mathematical models and an intervention that would reduce the incidence of HIV/AIDS, meeting an overarching research priority identified in the Strategic Plan of the NIH Office of AIDS Research.