一种用于阻塞性睡眠呼吸暂停的新型移动健康工具的开发:卡塔尔世界杯8强波胆分析跟踪持续气道正压依从性在床上的时间百分比% a Pfammatter,Angela Fidler % a Hughes,Bonnie Olivia % a Tucker,Becky % a Whitmore,Harry % a Spring,Bonnie % a Tasali,Esra %+西北大学范伯格医学院预防医学系，美国伊利诺伊州埃文斯顿克拉克街633号，60208，美国，1847 491 3741，angela@northwestern.edu %K阻塞性睡眠呼吸暂停%K持续气道正压通气%K CPAP依从性%K体重减轻%K生活方式%D 2022 %7背景:持续气道正压通气(CPAP)是阻塞性睡眠呼吸暂停(OSA)的主要治疗方法;然而，较差的CPAP依从性是常见的。目前的指南规定每晚使用4小时CPAP作为目标，以确定适当的治疗依从性。然而，有效的OSA治疗需要在床上的整个时间内使用CPAP，以最佳地治疗呼吸事件，并防止与不佩戴CPAP设备的睡眠时间相关的不良健康影响。每晚的睡眠模式差异很大，因此有必要测量与床上时间相关的CPAP依从性。减肥是OSA患者的一个重要目标。需要工具来解决OSA患者的这些临床挑战。目的:本研究旨在开发一种移动健康工具，将减肥特征与新型CPAP依从性跟踪(即CPAP佩戴时间相对于客观评估的卧床时间的百分比)相结合，用于OSA患者。 Methods: We used an iterative, user-centered process to design a new CPAP adherence tracking module that integrated with an existing weight loss app. A total of 37 patients with OSA aged 20 to 65 years were recruited. In phase 1, patients with OSA who were receiving CPAP treatment (n=7) tested the weight loss app to track nutrition, activity, and weight for 10 days. Participants completed a usability and acceptability survey. In phase 2, patients with OSA who were receiving CPAP treatment (n=21) completed a web-based survey about their interpretations and preferences for wireframes of the CPAP tracking module. In phase 3, patients with recently diagnosed OSA who were CPAP naive (n=9) were prescribed a CPAP device (ResMed AirSense10 AutoSet) and tested the integrated app for 3 to 4 weeks. Participants completed a usability survey and provided feedback. Results: During phase 1, participants found the app to be mostly easy to use, except for some difficulty searching for specific foods. All participants found the connected devices (Fitbit activity tracker and Fitbit Aria scale) easy to use and helpful. During phase 2, participants correctly interpreted CPAP adherence success, expressed as percentage of wear time relative to time spent in bed, and preferred seeing a clearly stated percentage goal (“Goal: 100%”). In phase 3, participants found the integrated app easy to use and requested push notification reminders to wear CPAP before bedtime and to sync Fitbit in the morning. Conclusions: We developed a mobile health tool that integrated a new CPAP adherence tracking module into an existing weight loss app. Novel features included addressing OSA-obesity comorbidity, CPAP adherence tracking via percentage of CPAP wear time relative to objectively assessed time spent in bed, and push notifications to foster adherence. Future research on the effectiveness of this tool in improving OSA treatment adherence is warranted. %M 36469406 %R 10.2196/39489 %U //www.mybigtv.com/2022/12/e39489 %U https://doi.org/10.2196/39489 %U http://www.ncbi.nlm.nih.gov/pubmed/36469406