基于互联网的焦虑和抑郁症疾病发病预示预防三臂随机临床试验
Anna-Carlotta Zarski1,2, Kiona K Weisel2, Thomas Berger3
1Division of eHealth in Clinical Psychology, Department of Clinical Psychology, Philipps University of Marburg, Marburg, Germany.
NPJ digital medicine
|October 1, 2025
概括
基于互联网的预防计划显著降低了成年人焦虑和抑郁障碍的发生率. 引导和自动化数字干预都被证明是有效的,突出显示了数字心理健康工具在早期干预方面的潜力.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 数字健康数字健康
- 预防医学 预防医学
背景情况:
- 预防精神疾病对于公共健康至关重要.
- 在临床诊断之前,焦虑和抑郁症的低值症状往往会出现.
- 基于互联网的干预措施为心理健康预防提供了可扩展的解决方案.
研究的目的:
- 评估基于互联网的焦虑和抑郁障碍指示预防的有效性.
- 为了比较个人指导与自动指导的数字干预.
- 评估对焦虑或抑郁症发病时间的影响.
主要方法:
- 一个三臂随机对照试验,涉及566名患有下值症状的成年人.
- 干预包括基于数字CBT的个人指导 (IG-IMI) 和自动指导 (AG-IMI) 会议.
- 等待名单对照 (WLC) 组进行比较;通过12个月的盲目诊断访谈评估结果.
主要成果:
- 与WLC (36.0%) 相比,焦虑/抑郁症的累积发病率在两组干预组中都显着较低 (23.1%的IG-IMI,20.7%的AG-IMI).
- 个人指导干预显示危险比为0.59,自动干预显示0.47.
- 治疗所需数 (NNT) 值为IG-IMI的7.76和AG-IMI的5.79,表明显著的临床益处.
结论:
- 个人指导和自动指导的基于互联网的干预措施都有效地减少了焦虑和抑郁症的发生率.
- 数字心理健康干预提供了一个可行的预防策略.
- 这些发现支持将数字工具整合到精神卫生保健系统中,以便进行早期干预.
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