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Measuring the active elements of cognitive-behavioral therapies.
Cohen, Zachary D; Barnes-Horowitz, Nora M; Forbes, Courtney N; Craske, Michelle G.
Affiliation
  • Cohen ZD; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States. Electronic address: zachary.d.cohen@gmail.com.
  • Barnes-Horowitz NM; Department of Psychology, University of California, Los Angeles, United States.
  • Forbes CN; Department of Psychology, University of California, Los Angeles, United States.
  • Craske MG; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States; Department of Psychology, University of California, Los Angeles, United States.
Behav Res Ther ; 167: 104364, 2023 08.
Article in En | MEDLINE | ID: mdl-37429044
ABSTRACT
Understanding how and for whom cognitive-behavioral therapies work is central to the development and improvement of mental health interventions. Suboptimal quantification of the active elements of cognitive-behavioral therapies has hampered progress in elucidating mechanisms of change. To advance process research on cognitive-behavioral therapies, we describe a theoretical measurement framework that focuses on the delivery, receipt, and application of the active elements of these interventions. We then provide recommendations for measuring the active elements of cognitive-behavioral therapies aligned with this framework. Finally, to support measurement harmonization and improve study comparability, we propose the development of a publicly available repository of assessment tools the Active Elements of Cognitive-Behavioral Therapies Measurement Kit.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cognitive Behavioral Therapy Type of study: Guideline Limits: Humans Language: En Journal: Behav Res Ther Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cognitive Behavioral Therapy Type of study: Guideline Limits: Humans Language: En Journal: Behav Res Ther Year: 2023 Document type: Article