在抑郁症和焦虑症的数字认知行为疗法中技能授权和知识获取:随机对照试验的系统审查
Hayley M Jackson1, Alison L Calear1, Philip J Batterham1
1Centre for Mental Health Research, National Centre for Epidemiology and Population Health, The Australian National University, Acton ACT, Australia.
Journal of medical Internet research
|May 31, 2023
概括
数字认知行为疗法 (CBT) 改善了对抑郁和焦虑的技能实施和知识获取. 只有技能制定与更好的心理健康结果相关,突出了对有效参与策略的进一步研究的需要.
科学领域:
- 数字心理健康数字心理健康
- 认知行为疗法是认知行为疗法.
- 心理干预 心理干预
背景情况:
- 数字认知行为疗法 (CBT) 显示出治疗抑郁和焦虑的前景.
- 参与度低仍然是数字CBT干预的重大挑战.
- 现有的研究经常使用程序使用作为参与的代理,忽视技能获取和制定.
研究的目的:
- 调查数字CBT中技能制定和知识获取的测量方法.
- 评估干预后技能制定和知识获取方面的变化.
- 检查技能实施/知识获取与心理健康结果之间的关联,并确定预测因素.
主要方法:
- 在2000年至2022年期间发表的随机对照试验 (RCT) 的系统审查.
- 在PubMed,PsycINFO和Cochrane CENTRAL中对12岁以上个人对焦虑或抑郁症进行数字CBT干预的搜索.
- 包括报告技能制定或知识获取量化措施的研究;使用Joanna Briggs研究所批判性评估清单评估的方法质量;采用叙事综合.
主要成果:
- 在包括的43篇论文中,67%测量了技能制定,35%测量了知识获取.
- 干预后的改善对于技能制定,CBT知识和心理健康素养显著.
- 技能实施,但不是知识获取,与改善的心理健康结果有关. 指导类型和心理改善预测了技能实施.
结论:
- 数字CBT可以增强对抑郁和焦虑的技能实施和知识获取.
- 技能制定似乎比知识获取更强烈地与心理健康结果相关.
- 进一步的研究至关重要,以确定最佳的技能制定和知识获取水平及其预测因素,以提高数字CBT的有效性.
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