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Computer-Assisted Cognitive-Behavior Therapy for Depression: A Systematic Review and Meta-Analysis.
Jesse H Wright1,2, Jesse J Owen3, Derek Richards4,5
1Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, 401 E Chestnut St, Ste 610, Louisville, KY 40202. jwright@iglou.com.
The Journal of Clinical Psychiatry
|March 23, 2019
Summary
Computer-assisted cognitive-behavior therapy (CCBT) is effective for major depressive disorder, especially with clinician support. Self-guided CCBT shows lower efficacy, highlighting the need for support in digital mental health interventions.
Area of Science:
- Mental Health
- Psychiatry
- Digital Therapeutics
Background:
- Major depressive disorder (MDD) is a prevalent mental health condition.
- Cognitive-behavior therapy (CBT) is an established treatment for MDD.
- Computer-assisted CBT (CCBT) offers a scalable approach to delivering CBT.
Purpose of the Study:
- To evaluate the efficacy of computer-assisted cognitive-behavior therapy (CCBT) for major depressive disorder (MDD).
- To examine the impact of clinician support and other factors on CCBT outcomes.
Main Methods:
- Systematic review and meta-analysis of randomized controlled trials (RCTs).
- Searched Ovid MEDLINE, PsycINFO, PubMed, and Scopus for relevant studies.
- Extracted data from 40 RCTs comparing CCBT to control conditions.
Main Results:
- Overall moderate-to-large effect size (g = 0.502) for CCBT in reducing depressive symptoms.
- CCBT with clinician support demonstrated significantly larger effects (g = 0.673) than self-guided CCBT (g = 0.239).
- Lower completion rates and primary care settings were associated with smaller effect sizes.
Conclusions:
- CCBT is efficacious for MDD, particularly when incorporating clinician support.
- Self-guided CCBT is less effective, underscoring the importance of human support in digital mental health.
- Future research should optimize CCBT implementation, support delivery, engagement, and outcomes in primary care.
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