Objective: This study aimed to demonstrate proof of concept for an adaptive treatment strategy in Internet-delivered cognitive-behavioral therapy (ICBT), where risk of treatment failure is assessed early in treatment and treatment for at-risk patients is adapted to prevent treatment failure.
Methods: A semiautomated algorithm assessed risk of treatment failure early in treatment in 251 patients undergoing ICBT for insomnia with therapist guidance. At-risk patients were randomly assigned to continue standard ICBT or to receive adapted ICBT. The primary outcome was self-rated insomnia symptoms using the Insomnia Severity Index in a linear mixed-effects model. The main secondary outcome was treatment failure (having neither responded nor remitted at the posttreatment assessment).
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The participant will review the components of an adaptive treatment strategy for patients who are identified as at risk of failing to respond to standard care.
This program is designed for all psychiatrists in clinical practice, residents in Graduate Medical Education programs, medical students interested in psychiatry, and other physicians who wish to advance their current knowledge of clinical medicine.
Duration: 1 hour
Begin Date: April 1, 2019
End Date: March 31, 2021
In order to earn CME credit, subscribers should read through the material presented in the article. After reading the article, complete the quiz and submit your evaluation and study hours (up to 1 AMA PRA Category 1 Credit™). A score of 60% or higher is required to receive credit.
The American Psychiatric Association (APA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The APA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Title: Proof of Concept for an Adaptive Treatment Strategy to Prevent Failures in Internet-Delivered CBT: A Single-Blind Randomized Clinical Trial With Insomnia Patients
Authors: Erik Forsell, M.Sc., Susanna Jernelöv, Ph.D., Kerstin Blom, Ph.D., Martin Kraepelien, M.Sc., Cecilia Svanborg, M.D., Ph.D., Gerhard Andersson, Ph.D., Nils Lindefors, M.D., Ph.D., Viktor Kaldo, Ph.D.
Affiliations: Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Stockholm County Council, Huddinge Hospital, Stockholm (E.F., S.J., K.B., M.K., C.S., G.A., N.L., V.K.); Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm (S.J.); Department of Behavioral Sciences and Learning, Linköping University, Linköping, Sweden (G.A.); and Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden (V.K.).
Disclosures: The authors report no financial relationships with commercial interests.
Discussion of unapproved or investigational use of products*: No.
*APA policy requires disclosure by CME authors of unapproved or investigational use of products discussed in CME programs. Off-label use of medications by individual physicians is permitted and common. Decisions about off-label use can be guided by scientific literature and clinical experience.
Ned H. Kalin, M.D. (Editor-in-Chief, AJP); Carolyn Rodriguez, M.D., Ph.D. (Deputy Editor, AJP); Michael D. Roy (Editorial Director, AJP); Michael A. Pogachar (Online Content Manager, Journals). Dr. Kalin has served as a consultant to the Board of Scientific Advisors, the Pritzker Neuropsychiatric Disorders Research Consortium, and the Skyland Trail Advisory Board and as Councilor, Society of Biological Psychiatry. Dr. Rodriguez has served as a consultant to Allergan, Blackthorn, Epiodyne, and Rugen. Mr. Roy and Mr. Pogachar report no financial relationships with commercial interests.
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- Macintosh: Mac OS X 10.3 or higher with latest updates installed; 1.83MHz Intel Core Duo or faster; RAM: 128MB or more; Video Card: at least 64MB of video memory; Sound Card: at least 16-bit
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