Armitage Bianca Tanya, Potts Henry W W, Irwin Michael R, Fisher Abi
Department of Behavioural Science and Health, University College London, London, United Kingdom.
Institute of Health Informatics, University College London, London, United Kingdom.
JMIR Form Res. 2024 Aug 13;8:e39554. doi: 10.2196/39554.
A third of adults in Western countries have impaired sleep quality. A possible solution involves distributing sleep aids through smartphone apps, but most empirical studies are limited to small pilot trials in distinct populations (eg, soldiers) or individuals with clinical sleep disorders; therefore, general population data are required. Furthermore, recent research shows that sleep app users desire a personalized approach, offering an individually tailored choice of techniques. One such aid is Peak Sleep, a smartphone app based on scientifically validated principles for improving sleep quality, such as mindfulness meditation and cognitive behavioral therapy.
We aimed to test the impact of the smartphone app Peak Sleep on sleep quality and collect user experience data to allow for future app development.
This was a 2-arm pilot randomized controlled trial. Participants were general population adults in the United Kingdom (aged ≥18 years) who were interested in improving their sleep quality and were not undergoing clinical treatment for sleep disorder or using sleep medication ≥1 per week. Participants were individually randomized to receive the intervention (3 months of app use) versus a no-treatment control. The intervention involved free access to Peak Sleep, an app that offered a choice of behavioral techniques to support better sleep (mindfulness, cognitive behavioral therapy, and acceptance commitment therapy). The primary outcome was sleep quality assessed using the Insomnia Severity Index at baseline and 1-, 2-, and 3-month follow-ups. Assessments were remote using web-based questionnaires. Objective sleep data collection using the Oura Ring (Ōura Health Oy) was planned; however, because the COVID-19 pandemic lockdowns began just after recruitment started, this plan could not be realized. Participant engagement with the app was assessed using the Digital Behavior Change Intervention Engagement Scale and qualitative telephone interviews with a subsample.
A total of 101 participants were enrolled in the trial, and 21 (21%) were qualitatively interviewed. Sleep quality improved in both groups over time, with Insomnia Severity Index scores of the intervention group improving by a mean of 2.5 and the control group by a mean of 1.6 (between-group mean difference 0.9, 95% CI -2.0 to 3.8), with was no significant effect of group (P=.91). App users' engagement was mixed, with qualitative interviews supporting the view of a polarized sample who either strongly liked or disliked the app.
In this trial, self-reported sleep improved over time in both intervention and control arms, with no impact by group, suggesting no effect of the sleep app. Qualitative data suggested polarized views on liking or not liking the app, features that people engaged with, and areas for improvement. Future work could involve developing the app features and then testing the app using objective measures of sleep in a larger sample.
ClinicalTrials.gov NCT04487483; https://www.clinicaltrials.gov/study/NCT04487483.
西方国家三分之一的成年人睡眠质量受损。一种可能的解决方案是通过智能手机应用程序分发助眠工具,但大多数实证研究仅限于在特定人群(如士兵)或患有临床睡眠障碍的个体中进行的小型试点试验;因此,需要一般人群的数据。此外,最近的研究表明,睡眠应用程序用户希望采用个性化方法,提供个性化定制的技术选择。一种这样的辅助工具是“巅峰睡眠”,这是一款基于科学验证的改善睡眠质量原则(如正念冥想和认知行为疗法)的智能手机应用程序。
我们旨在测试智能手机应用程序“巅峰睡眠”对睡眠质量的影响,并收集用户体验数据,以便为未来的应用程序开发提供依据。
这是一项双臂试点随机对照试验。参与者为英国一般人群中的成年人(年龄≥18岁),他们有改善睡眠质量的意愿,且未接受睡眠障碍的临床治疗或每周使用睡眠药物≥1次。参与者被随机分为两组,分别接受干预(使用该应用程序3个月)和无治疗对照。干预措施包括免费使用“巅峰睡眠”应用程序,该应用程序提供多种行为技术选择以支持更好的睡眠(正念、认知行为疗法和接受与承诺疗法)。主要结局是使用失眠严重程度指数在基线以及1个月、2个月和3个月随访时评估睡眠质量。评估通过基于网络的问卷进行远程操作。原本计划使用欧若环(Ōura Health Oy)收集客观睡眠数据;然而,由于招募开始后不久就开始了COVID-19大流行封锁,该计划无法实现。使用数字行为改变干预参与量表和对一个子样本进行定性电话访谈来评估参与者对该应用程序的参与度。
共有101名参与者纳入试验,其中21人(21%)接受了定性访谈。随着时间推移,两组的睡眠质量均有所改善,干预组的失眠严重程度指数得分平均提高2.5,对照组平均提高1.6(组间平均差异为0.9,95%CI为-2.0至3.8),组间差异无统计学意义(P = 0.91)。应用程序用户的参与度参差不齐,定性访谈支持了一个两极分化样本的观点,即有些人非常喜欢该应用程序,而有些人则非常不喜欢。
在本试验中,干预组和对照组的自我报告睡眠情况均随时间改善,且组间无影响,表明该睡眠应用程序无效。定性数据表明,对于是否喜欢该应用程序、人们使用的功能以及改进领域存在两极分化的观点。未来的工作可能包括开发应用程序功能,然后在更大样本中使用客观睡眠测量方法对该应用程序进行测试。
ClinicalTrials.gov NCT04487483;https://www.clinicaltrials.gov/study/NCT04487483