药物使用的数字认知行为疗法:随机对照试验的系统审查和元分析
Virgil Lee Gregory1, David A Wilkerson1, Samantha N Wolfe-Taylor1
1School of Social Work, Indiana University, Indianapolis, IN, USA.
The American journal of drug and alcohol abuse
|October 22, 2024
概括
数字认知行为疗法 (CBT) 有效地减少了酒精和毒品的使用. 这一元分析证实了数字CBT.
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
- 药物使用障碍 药物使用障碍
背景情况:
- 之前的元分析集中在酒精或酒精/烟草联合使用的数字干预措施上.
- 现有的研究表明,这些特定的数字干预措施取得了积极的结果.
- 在理解数字认知行为疗法 (CBT) 对更广泛地减少酒精和毒品使用的有效性方面仍然存在差距.
研究的目的:
- 确定数字CBT在治疗后减少药物和/或酒精使用的整体效果大小,与对照组相比.
- 综合现有关于物质使用数字CBT研究的研究结果.
- 提供数字CBT在物质使用治疗中的有效性的定量估计.
主要方法:
- 以系统审查和元分析 (PRISMA) 标准为指导的系统审查和元分析.
- 在多个电子数据库和临床试验注册表中进行全面的文献搜索.
- 包括使用数字CBT干预措施的研究,包括认知重组,注册协议 (PROSPERO ID#:CRD42023471492).
主要成果:
- 总结效果大小 (Hedges' g) 为 -0.23,表明药物使用的统计显著减少,有利于数字CBT.
- 在包括的17项研究中观察到最小的异质性 (I2 = 5.34%),表明结果一致.
- 评估了出版偏差,并通过漏斗图和埃格尔回归测试发现缺少.
结论:
- 数字认知行为疗法 (CBT) 是一种有效的治疗方法,可以减少整体的酒精和毒品使用.
- 这些发现支持将数字CBT整合为物质使用障碍治疗中的可行选择.
- 进一步的研究可能会探索数字CBT的特定组件及其对各种物质的差异性影响.
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