@文章{信息:doi/10.2196/24607，作者=“Aji, Melissa和Gordon, Christopher和Stratton, Elizabeth和Calvo, Rafael A和Bartlett, Delwyn和Grunstein, Ronald和Glozier, Nick”，标题=“睡眠障碍移动健康应用程序的设计工程、临床实施和评估框架:系统综述”，期刊=“J Med Internet Res”，年=“2021”，月=“2”，日=“17”，卷=“23”，数=“2”，页=“e24607”，关键词=“移动应用程序;睡眠;失眠;以互联网为基础的干预;移动健康;移动健康;背景:移动健康(mHealth)应用程序为治疗人群水平的睡眠障碍提供了可扩展的选择。然而，基于证据的移动健康应用程序的开发和评估尚不明确。目的:本系统综述的目的是为针对睡眠障碍的移动健康应用程序的设计、工程、临床实施和评估提供证据。方法:使用5个数据库(MEDLINE、Embase、Cochrane Library、PsycINFO和CINAHL)对数据库建立以来至2020年2月发表的研究进行了系统检索。 Results: A total of 6015 papers were identified using the search strategy. After screening, 15 papers were identified that examined the design engineering and clinical implementation and evaluation of 8 different mHealth apps for sleep disturbance. Most of these apps delivered cognitive behavioral therapy for insomnia (CBT-I, n=4) or modified CBT-I (n=2). Half of the apps (n=4) identified adopting user-centered design or multidisciplinary teams in their design approach. Only 3 papers described user and data privacy. End-user acceptability and engagement were the most frequently assessed implementation metrics. Only 1 app had available evidence assessing all 4 implementation metrics (ie, acceptability, engagement, usability, and adherence). Most apps were prototype versions (n=5), with few matured apps. A total of 6 apps had supporting papers that provided a quantitative evaluation of clinical outcomes, but only 1 app had a supporting, adequately powered randomized controlled trial. Conclusions: This is the first systematic review to synthesize and examine evidence for the design engineering and clinical implementation and evaluation of mHealth apps for sleep disturbance. The minimal number of apps with published evidence for design engineering and clinical implementation and evaluation contrasts starkly with the number of commercial sleep apps available. Moreover, there appears to be no standardization and consistency in the use of best practice design approaches and implementation assessments, along with very few rigorous efficacy evaluations. To facilitate the development of successful and evidence-based apps for sleep disturbance, we developed a high-level framework to guide researchers and app developers in the end-to-end process of app development and evaluation. ", issn="1438-8871", doi="10.2196/24607", url="//www.mybigtv.com/2021/2/e24607/", url="https://doi.org/10.2196/24607", url="http://www.ncbi.nlm.nih.gov/pubmed/33595441" }