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饮食障碍治疗数字干预中的行为变化技术:系统审查和元分析
Pamela Carien Thomas1, Kristina Curtis2, Henry W W Potts3
1Department of Epidemiology & Applied Clinical Research, Division of Psychiatry, University College London, London, United Kingdom.
JMIR mental health
|August 1, 2024
概括
对饮食障碍的数字干预是有效的,常见的行为改变技术 (BCT) 如自我监测. 强烈依据理论的干预措施显示出更大的症状改善.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 行为科学是一种行为科学.
- 临床心理学 临床心理学
背景情况:
- 系统性审查表明,数字干预可以改善饮食障碍症状.
- 对这些干预的机制和贡献因素的理解仍然有限.
- 识别行为改变技术 (BCT) 和理论基础对于优化数字干预至关重要.
研究的目的:
- 在数字自我管理/最小引导干预中定义BCT,用于患有饮食障碍的成年人.
- 评估这些干预措施的理论依据和交付方式.
- 评估BCT,理论和传递方式对饮食障碍结果的影响.
主要方法:
- 在文学中搜索成人饮食障碍的数字干预的随机对照试验,治疗师的支持最小.
- 编码BCT的干预措施 (BCT分类学v1),理论应用 (TCS) 和交付方式 (交付方式本体学).
- 进行元分析,以评估个别的BCT,理论应用或交付模式是否适应了效果大小.
主要成果:
- 有效的干预措施包括平均14个BCT,自我监测,解决问题和行动计划是常见的.
- 基于Web的交付是最常见的 (88%),平均使用4种模式.
- 具有更高理论基础的干预措施 (TCS得分) 显示了显著更大的效果大小 (χ2=9.7,P=.002).
结论:
- 虽然常见的BCT是一致的,但没有单一的BCT被证明是唯一有效的.
- 基于理论的饮食障碍的数字干预措施产生了更好的结果.
- 研究结果可以指导开发更有效的未来数字干预饮食障碍.
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