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mHealth Strategies to Promote Uptake and Adherence to PrEP: A Systematic Review

机译:促进摄取和坚持PrEP的mHealth策略:系统评价

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Pre-exposure Prophylaxis (PrEP) is the use of antiretroviral medi-cations by high-risk HIV-negative individuals to prevent HIV infection and when taken consistently, PrEP can effectively reduce HIV infection risk. The purpose of this literature review was to research existing studies that have used mHealth strategies to prevent HIV and promote uptake and adherence to PrEP. This review is meant to aid in the future development of an app for PrEP adherence and HIV prevention in Taiwan. A systematic journal review of published, peer-reviewed literature was conducted in May and June 2019 to identify and evaluate existing interventions for HIV prevention and PrEP adherence in humans. We identified 22 papers published during or after 2016. Social Cognitive Theory was used by most studies to formulate their inter-vention strategies. There were several common design features found in studies involving mHealth interventions, such as gamification, notifications, medication log, and education. While the diary feature, including both a sexual activity log and medication log, is critical for preventing HIV, a few more elements should be added to improve the diary feature, including a mood log to show correlations and trends in mental health, and a drug use log to track drug use with PrEP adherence. As more studies that are focusing on the formulation of apps for HIV prevention complete their clinical trial phases, more data will exist to aid researchers in developing the best possible app.
机译:暴露前预防(PrEP)是高危HIV阴性个体使用抗逆转录病毒药物预防HIV感染,并且持续服用PrEP可以有效降低HIV感染风险。这篇文献综述的目的是研究利用mHealth策略预防HIV并促进对PrEP的吸收和坚持的现有研究。这项审查旨在协助台湾将来开发适用于PrEP遵守和艾滋病毒预防的应用程序。 2019年5月和6月对发表的,经过同行评审的文献进行了系统的期刊综述,以鉴定和评估现有的预防HIV感染和PrEP依从性的干预措施。我们确定了2016年或之后发表的22篇论文。大多数研究都使用社会认知理论来制定干预策略。在涉及mHealth干预的研究中发现了几种常见的设计功能,例如游戏化,通知,用药记录和教育。虽然日记功能(包括性活动记录和用药记录)对于预防HIV至关重要,但应添加更多元素来改善日记功能,包括情绪记录以显示心理健康的相关性和趋势,以及药物使用日志跟踪PrEP依从性的药物使用情况。随着更多致力于艾滋病预防应用程序编写的研究完成其临床试验阶段,将有更多数据可帮助研究人员开发最佳应用程序。

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