使用RE-AIM框架检查基于应用程序的睡眠干预对轮班工人的可行性
Hannah Thorne1, Rochelle M Sophocleous1, Madeline Sprajcer1
1School of Health, Medical and Applied Sciences and Appleton Institute, Central Queensland University, Adelaide, SA, Australia.
Behavioral sleep medicine
|March 17, 2025
概括
这项研究探讨了Sleepfit应用程序对轮班工作者的可行性. 虽然参与度各不相同,但该应用程序显示了通过定制内容改善睡眠健康的潜力.
科学领域:
- 睡眠科学 睡眠科学
- 数字健康干预措施 数字健康干预措施
- 职业健康 职业健康 职业健康
背景情况:
- 轮班工作与严重的睡眠障碍和负面的健康结果有关.
- 基于应用程序的干预措施提供了一个可扩展的方法来解决不同人群的睡眠健康挑战.
- Sleepfit应用程序的开发旨在为具有非标准工作时间表的个人提供量身定制的睡眠支持.
研究的目的:
- 评估Sleepfit应用程序的可行性,这是一种基于应用程序的睡眠干预,用于轮班工作者.
- 评估参与者与Sleepfit干预措施的接触,参与和互动.
- 了解轮班工作者之间基于应用程序的睡眠干预措施的障碍和促进因素.
主要方法:
- 这项研究使用了RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) 框架进行可行性评估.
- 来自各个行业的110名轮班工人参加了为期14天的Sleepfit应用程序试用.
- 数据收集包括基线和干预后调查,以及应用程序使用指标 (日常使用,完成的活动).
主要成果:
- 48%的注册轮班工完成了干预后的评估,其中30.9%遵守了完整的协议.
- 完成基线调查的参与者中有85.4%下载并使用了Sleepfit应用程序.
- 参与者平均参与了17.3%的应用活动,其中"应对轮班工作"模块的参与度最高;停止的常见原因包括缺乏时间和兴趣.
结论:
- 基于应用程序的干预措施,如Sleepfit,证明了改善轮班工人的睡眠健康的潜在可行性.
- 定制和相关的内容对于参与数字睡眠干预至关重要.
- 未来的研究应该探索更长的干预时间,更大的样本大小,以及与可穿戴技术的整合,以增强数据和持续影响.
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