通过基于应用程序的干预来改善护理人员的睡眠健康:随机等候名单控制试点试验
Alexandra E Shriane1, Grace E Vincent2, Sally A Ferguson2
1Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, SA, 5034, Australia. a.shriane@cqu.edu.au.
BMC public health
|September 3, 2024
概括
这项试点研究发现,Sleepfit应用程序可以改善护理人员的睡眠健康和卫生状况. 然而,高退学率限制了这些发现,这表明在参与这一群体的睡眠干预方面存在挑战.
科学领域:
- 职业健康 职业健康 职业健康
- 睡眠医学 睡眠医学
- 数字健康干预措施 数字健康干预措施
背景情况:
- 轮班工作者经常经历睡眠不足,对健康,福祉和安全产生负面影响.
- 生活方式和环境因素为轮班工作者提供了干预机会,而轮班工作的控制能力有限.
- 干预措施必须根据睡眠脆弱群体 (如轮班工作者) 的具体需求量身定制.
研究的目的:
- 调查Sleepfit移动健康应用程序在改善护理人员轮班工人的睡眠健康和卫生方面的有效性.
- 用验证的措施评估自我报告的睡眠健康和睡眠卫生结果.
- 与等待名单对照组相比,评估干预措施的影响.
主要方法:
- 一个随机的等候名单控制试点试验与58名护理人员进行.
- 参与者使用Sleepfit应用程序进行了为期14天的量身定制的睡眠健康干预.
- 睡眠健康和卫生在基线,干预后和3个月后期被测量.
主要成果:
- 对所有参与者来说,干预后观察到失眠严重性指数和睡眠卫生指数得分的显著降低.
- 干预和对照组之间没有发现对整体睡眠健康或睡眠卫生结果的显著干预效应.
- 由于研究中断率很高 (91.4%),无法进行3个月的后续评估.
结论:
- Sleepfit应用程序显示了改善护理人员睡眠健康和卫生的潜力.
- 低招生和留学率需要谨慎地解释研究结果.
- 在护理人员中,数字睡眠干预的参与挑战需要进一步调查.
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