模块化数字心理治疗对社会焦虑的安全性和有效性:随机对照试验
Mona M Garvert1, Jessica McFadyen1, Stuart Linke1
1Alena, London, United Kingdom.
Journal of medical Internet research
|April 10, 2025
概括
一个新的数字认知行为疗法 (CBT) 应用程序用于社会焦虑障碍在两个随机对照试验中显示出显著的症状减少和高可接受性. 这种可访问,模块化治疗为社会焦虑症患者提供了安全有效的替代方案.
科学领域:
- 数字心理健康数字心理健康
- 临床心理学 临床心理学
- 精神病学是一个精神病学.
背景情况:
- 社会焦虑障碍 (SAD) 是一种普遍影响日常运作的疾病.
- 认知行为疗法 (CBT) 是有效的,但面临着进入障碍.
- 为了解决这些局限性,开发了一个新的,模块化的,无治疗师的数字CBT应用程序 (Alena).
研究的目的:
- 评估完全数字化的模块化CBT计划对社会焦虑的安全性,可接受性和有效性.
- 评估在线参与者自我报告的社会焦虑症状治疗的有效性.
主要方法:
- 进行了两项基于网络的随机对照试验 (RCT),将数字CBT应用与等候名单对照进行了比较.
- 在线招募了具有社会恐惧症清单 (SPIN) 评分≥30的参与者 (N=350人).
- 主要结局包括6-8周的安全性和疗效,次要结局侧重于减轻症状 (SPIN评分).
主要成果:
- 在两个RCT中,数字CBT干预和等候名单对照组之间的不良事件率相似.
- 应用程序的接受度很高,完成率中位数为90.91% (RCT 1) 和84.85% (RCT 2).
- 与对照组 (科恩d=0.47和d=0.42) 相比,在积极治疗组观察到显著的症状减少 (SPIN评分).
结论:
- 对于社会焦虑的网络,模块化数字CBT程序是安全的,可接受的,有效的.
- 这种数字干预措施有望改善对社会焦虑障碍的基于证据的治疗方法的获取.
- 研究结果支持使用数字疗法来管理社会焦虑症状.
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