对于失眠和抑郁症患者的数字认知行为疗法:系统性审查和元分析
Nan Bai1, Juling Cao2, Huiyue Zhang1
1School of Nursing, Lanzhou University, Lanzhou, China.
Journal of psychiatric and mental health nursing
|January 16, 2024
概括
针对失眠的数字认知行为疗法 (dCBT-I) 有效地治疗伴随疾病患者的失眠和抑郁症. 这种可访问的治疗方法显著减少了症状,为传统疗法提供了可行的替代方案.
科学领域:
- 精神病学和行为科学 精神病学和行为科学
- 数字健康干预措施 数字健康干预措施
- 睡眠医学 睡眠医学
背景情况:
- 抑郁症患者中睡眠问题非常普遍,需要综合治疗方法.
- 传统的对失眠的认知行为疗法 (CBT-I) 面临着由于治疗师的可用性和患者时间限制的可访问性挑战.
- 失眠的数字认知行为疗法 (dCBT-I) 已经成为一种更容易获得的治疗选择.
研究的目的:
- 系统地审查和综合dCBT-I对伴随性抑郁症患者失眠的有效性的证据.
- 评估dCBT-I对失眠严重程度和抑郁症状的影响.
主要方法:
- 进行了系统审查和元分析,搜索了五个英语和四个非英语数据库.
- 包含的研究使用Cochrane偏差风险工具 (版本2) 进行了评估.
- 分析利用随机效应模型来评估睡眠和心理结果.
主要成果:
- 包括7篇涉及1864名参与者的文章.
- 与对照组相比,dCBT-I显著降低了失眠严重程度和抑郁症状.
- 治疗有效性与干预持续时间和基线失眠严重程度有关.
结论:
- dCBT-I是一种有效,可访问和时间效率的治疗失眠患者的伴随性抑郁症.
- 心理健康从业人员应该考虑与抑郁症同时治疗失眠.
- 未来的研究应该探索治疗师指导的dCBT-I及其在抑郁群体中的成本效益.
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