Characterizing observed and effective behavioral engagement with smartphone cognitive behavioral therapy for body dysmorphic disorder: A methods roadmap and use case.
Characterizing observed and effective behavioral engagement with smartphone cognitive behavioral therapy for body dysmorphic disorder: A methods roadmap and use case.
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DOI：
10.1016/j.invent.2023.100615
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发表时间：
2023-04
期刊：
影响因子：
4.3
通讯作者：
Wilhelm, Sabine
中科院分区：
文献类型：
--
作者：
Weingarden, Hilary;Calleja, Roger Garriga;Greenberg, Jennifer L.;Snorrason, Ivar;Matic, Aleksandar;Quist, Rachel;Harrison, Oliver;Hoeppner, Susanne S.;Wilhelm, Sabine
智能手机心理治疗越来越受欢迎，但人们对（1）人们如何更喜欢使用心理治疗应用程序，或（2）哪些参与模式构成有效参与的了解甚少。本研究使用了一项为期12周的随机等待名单对照试验的次要数据，该试验是关于智能手机提供的认知行为疗法（CBT）治疗身体畸形恐惧症（BDD）（N = 77），以解决这些目标。此外，使用本研究作为一个用例，我们试图提供一个路线图，研究人员如何可以改善现有的智能手机心理治疗参与研究的方法局限性。我们通过来自电话分析数据的19个客观变量来测量行为参与度，我们通过因素分析将其减少为两个因素：1）使用量和频率，以及2）会话持续时间。基于参与因素的聚类分析产生了三种类型的用户，映射到“深度”用户，“采样器”和“轻”用户。在治疗过程中，这些集群在BDD严重程度的改善方面没有显著差异，尽管深度使用者的改善程度略高于轻度使用者。结果表明，不同模式的首选参与可能是有效的。此外，该研究的方法为研究人员如何全面客观地测量和研究行为参与提供了一个例子。试用注册：www.example.com标识符：ClinicalTrials.gov
Smartphone psychotherapies are growing in popularity, yet little is understood about (1) how people prefer to engage with psychotherapy apps, or (2) which engagement patterns constitute effective engagement. The present study uses secondary data from a 12-week randomized waitlist-controlled trial of smartphone-delivered cognitive behavioral therapy (CBT) for body dysmorphic disorder (BDD) (N = 77) to address these aims. Additionally, using the present study as a use-case, we seek to provide a roadmap for how researchers may improve upon methodological limitations of existing smartphone psychotherapy engagement research. We measured behavioral engagement via 19 objective variables derived from phone analytics data, which we reduced via factor analysis into two factors: 1) use volume and frequency, and 2) session duration. Cluster analysis based on engagement factors yielded three engager types, which mapped onto “deep” users, “samplers,” and “light” users. The clusters did not differ significantly in improvement in BDD severity across treatment, although deep users improved more than light users at a marginally significant level. Results suggest that varying patterns of preferred engagement may be efficacious. Moreover, the study's methods provide an example of how researchers can measure and study behavioral engagement comprehensively and objectively. Trial Registration: ClinicalTrials.gov Identifier: NCT04034693 Characterize engagement patterns with smartphone CBT for BDD Examine efficacious engagement patterns, in terms of BDD symptom improvement Provide a framework for studying behavioral engagement using comprehensive measures
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