Murray Jade M, Magee Michelle, Giliberto Emma S, Booker Lauren A, Tucker Andrew J, Galaska Beth, Sibenaller Sara M, Baer Sharon A, Postnova Svetlana, Sondag Thijs A C, Phillips Andrew J K, Sletten Tracey L, Howard Mark E, Rajaratnam Shantha M W
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia.
Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, Australia.
Digit Health. 2023 Mar 29;9:20552076231165972. doi: 10.1177/20552076231165972. eCollection 2023 Jan-Dec.
Development of personalized sleep-wake management tools is critical to improving sleep and functional outcomes for shift workers. The objective of the current study was to test the performance, engagement and usability of a mobile app () for personalized sleep-wake management in shift workers that aid behavioural change and provide practical advice by providing personalized sleep scheduling recommendations and education.
Shift workers ( = 27; 20 healthcare and 7 from other industries) trialled the mobile app for two weeks to determine performance, engagement and usability. Primary outcomes were self-reported total sleep time, ability to fall asleep, sleep quality and perception of overall recovery on days off. Secondary performance outcomes included sleep disturbances (insomnia and sleep hygiene symptoms, and sleep-related impairments) and mood (anxiety, stress and depression) pre- and post-app use. Satisfaction with schedule management, integration into daily routine and influence on behaviour were used to determine engagement, while the usability was assessed for functionality and ease of use of features.
Total sleep time (= .04), ability to fall asleep ( < .001), quality of sleep (= .001), insomnia (= .02), sleep hygiene (= .01), sleep-related impairments ( = .001), anxiety (= .001), and stress ( = .006) were all improved, with non-significant improvements in recovery on days off (= .19) and depression (= .07). All measures of engagement and usability were scored positively by the majority of users.
This pilot trial provides preliminary evidence of the positive impact of the app in improving sleep and mood outcomes in shift workers, and warrants confirmation in a larger controlled trial.
开发个性化的睡眠-觉醒管理工具对于改善轮班工作者的睡眠和功能结局至关重要。本研究的目的是测试一款移动应用程序（）在轮班工作者中进行个性化睡眠-觉醒管理的性能、参与度和可用性，该应用程序通过提供个性化的睡眠时间表建议和教育来促进行为改变并提供实用建议。
轮班工作者（n = 27；20名医疗保健行业人员和7名其他行业人员）试用该移动应用程序两周，以确定其性能、参与度和可用性。主要结局指标为自我报告的总睡眠时间、入睡能力、睡眠质量以及休息日的总体恢复感知。次要性能结局指标包括应用程序使用前后的睡眠障碍（失眠和睡眠卫生症状以及与睡眠相关的损害）和情绪（焦虑、压力和抑郁）。通过对日程管理的满意度、融入日常生活的程度以及对行为的影响来确定参与度，同时从功能和功能易用性方面评估可用性。
总睡眠时间（p = 0.04）、入睡能力（p < 0.001）、睡眠质量（p = 0.001）、失眠（p = 0.02）、睡眠卫生（p = 0.01）、与睡眠相关的损害（p = 0.001）、焦虑（p = 0.001）和压力（p = 0.006）均有所改善，休息日的恢复情况（p = 0.19）和抑郁（p = 0.07）有不显著改善。大多数用户对所有参与度和可用性指标的评分均为正面。
这项试点试验提供了初步证据，证明该应用程序对改善轮班工作者的睡眠和情绪结局有积极影响，值得在更大规模的对照试验中进行验证。
