Department of Clinical Psychology and EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands.
Psychother Res. 2013;23(5):559-67. doi: 10.1080/10503307.2013.807377. Epub 2013 Jul 15.
In this study we explored predictors and moderators of response to Internet-based cognitive behavioral therapy (CBT) and Internet-based problem-solving therapy (PST) for depressive symptoms. The sample consisted of 263 participants with moderate to severe depressive symptoms. Of those, 88 were randomized to CBT, 88 to PST and 87 to a waiting list control condition. Outcomes were improvement and clinically significant change in depressive symptoms after 8 weeks. Higher baseline depression and higher education predicted improvement, while higher education, less avoidance behavior and decreased rational problem-solving skills predicted clinically significant change across all groups. No variables were found that differentially predicted outcome between Internet-based CBT and Internet-based PST. More research is needed with sufficient power to investigate predictors and moderators of response to reveal for whom Internet-based therapy is best suited.
在这项研究中，我们探讨了影响基于互联网的认知行为疗法（CBT）和基于互联网的问题解决疗法（PST）治疗抑郁症状反应的预测因素和调节因素。样本由 263 名有中重度抑郁症状的参与者组成。其中，88 人被随机分配到 CBT 组，88 人被分到 PST 组，87 人分到等待名单对照组。8 周后，以抑郁症状的改善和临床显著变化作为结果。基线时较高的抑郁程度和较高的教育程度预测了改善，而较高的教育程度、较少的回避行为和降低的理性问题解决技能预测了所有组的临床显著变化。没有发现变量可以在基于互联网的 CBT 和基于互联网的 PST 之间预测治疗效果的差异。需要有足够的研究力量来研究反应的预测因素和调节因素，以揭示哪种互联网治疗方法最适合哪些人。
