治疗抑郁症的数字心理健康干预:一个多元元元分析
Constantin Yves Plessen1, Olga Maria Panagiotopoulou2, Lingyao Tong2
1Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Charité University Medicine Berlin, Berlin, Germany.
Journal of affective disorders
|October 17, 2024
概括
数字干预有效治疗抑郁症,在各种分析中都有一致的好处. 影响结果的关键因素包括患者人口统计和干预类型,尽管初级研究质量较低.
科学领域:
- 数字心理健康数字心理健康
- 精神病学是一个精神病学.
- 医疗信息学 医疗信息学
背景情况:
- 已发表的元分析显示,数字抑郁症干预措施的效果大小各不相同,这引发了对其真正有效性的质疑.
- 用多元元元分析来解决已发表的研究结果的变异性.
研究的目的:
- 使用强大的元分析方法系统评估抑郁症数字干预措施的有效性.
- 确定影响数字抑郁症治疗效果大小的因素.
主要方法:
- 一项系统的文献搜索确定了125个随机对照试验 (RCT) 的数字抑郁干预与非活动对照.
- 进行了多元元分析,进行了成千上万的元分析,具有多种分析选择 (例如,人群,干预,设计).
主要成果:
- 来自125个RCT (32,733名参与者) 的3638个元分析显示,平均效果大小 (Hedges' g) 为0.43,在所有分析中始终呈阳性.
- 对于成年人,低收入/中等收入国家,指导干预,等候名单控制和主要/单极情绪障碍者来说,注意到了显著的益处.
- 在调整出版偏差和长期评估 (>24周) 时,效应大小较小.
结论:
- 数字干预措施在治疗抑郁症方面表现出强大的有效性,其效果大小根据分析决策和研究特征而有所不同.
- 患者群体,干预类型和对照组等因素会影响治疗结果.
- 局限性包括分析选择中的主观性以及包含的初级研究的质量普遍较低.
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