技术支持的治疗失眠疗法的疗效比较:随机对照试验的研究方案
Hannah Scott1, Madelaine Green1, Kerri Jones1
1Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, South Australia, Australia.
Sleep advances : a journal of the Sleep Research Society
|March 17, 2025
概括
这项研究比较了数字失眠疗法:密集睡眠再培训与THIM,健康睡眠使用互联网 (SHUTi),以及两者,与等待列表. 它的目的是找到最有效和最具成本效益的治疗慢性失眠.
科学领域:
- 睡眠医学 睡眠医学
- 数字健康数字健康
- 行为科学 行为科学
背景情况:
- 慢性失眠影响许多人,但很少有人接受建议的失眠认知行为疗法 (CBT-I).
- 数字疗法提供了可扩展的解决方案,但相对的疗效数据缺乏.
- 确定最佳的技术支持治疗方法对于改善患者护理至关重要.
研究的目的:
- 为了比较密集睡眠再训练 (THIM),使用互联网 (SHUTi) 的健康睡眠和组合 (THIM然后SHUTi) 与等候名单对照的有效性和成本效益.
- 为了评估这些针对慢性失眠障碍的数字干预措施.
主要方法:
- 一个4x3随机对照试验,比较四个治疗臂 (+/- THIM, +/- SHUTi) 在三个时间点 (治疗前,治疗后,2个月后续).
- 患有慢性失眠障碍的参与者被随机分配.
- 通过每日/每周自我报告和客观睡眠追踪器评估结果;主要结果:总觉醒时间.
主要成果:
- 这项研究旨在分析治疗组与总觉醒时间之间的相互作用,使用重复测量ANOVA.
- 总觉醒时间减少≥30分钟被认为是临床上有意义的.
- 结果将提供有关不同数字失眠治疗方法有效性的比较数据.
结论:
- 这项研究将是首次直接比较两种不同技术支持的失眠治疗方法的疗效.
- 研究结果将为临床实践和公共卫生政策提供有关失眠数字健康干预措施的信息.
- 该研究将指导使用公共和私人资助的技术支持的失眠解决方案.
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