Cited by 132Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychotherapy Techniques and Applications

Improving the Efficiency of Psychotherapy for Depression: Computer-Assisted Versus Standard CBT

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Thase, Michael E., Wright, Jesse H., Eells, Tracy D., Barrett, Marna S., Wisniewski, Stephen R., Balasubramani, G.K., McCrone, Paul, Brown, Gregory K.·2018·American Journal of Psychiatry

Abstract

OBJECTIVE: The authors evaluated the efficacy and durability of a therapist-supported method for computer-assisted cognitive-behavioral therapy (CCBT) in comparison to standard cognitive-behavioral therapy (CBT). METHOD: A total of 154 medication-free patients with major depressive disorder seeking treatment at two university clinics were randomly assigned to either 16 weeks of standard CBT (up to 20 sessions of 50 minutes each) or CCBT using the "Good Days Ahead" program. The amount of therapist time in CCBT was planned to be about one-third that in CBT. Outcomes were assessed by independent raters and self-report at baseline, at weeks 8 and 16, and at posttreatment months 3 and 6. The primary test of efficacy was noninferiority on the Hamilton Depression Rating Scale at week 16. RESULTS: Approximately 80% of the participants completed the 16-week protocol (79% in the CBT group and 82% in the CCBT group). CCBT met a priori criteria for noninferiority to conventional CBT at week 16. The groups did not differ significantly on any measure of psychopathology. Remission rates were similar for the two groups (intent-to-treat rates, 41.6% for the CBT group and 42.9% for the CCBT group). Both groups maintained improvements throughout the follow-up. CONCLUSIONS: The study findings indicate that a method of CCBT that blends Internet-delivered skill-building modules with about 5 hours of therapeutic contact was noninferior to a conventional course of CBT that provided over 8 additional hours of therapist contact. Future studies should focus on dissemination and optimizing therapist support methods to maximize the public health significance of CCBT.

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  1. [29]First MB Spitzer RL Gibbon M Williams JW Structured Clinical Interview for DSM-5 Axis I Disorders Research Version, Patient/Non-patient Edition (SCID-I/P w/PSY SCREEN) New York Biometrics Research, New York State Psychiatric Institute 2015
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Authors
Thase, M. E., Wright, J. H., Eells, T. D., Barrett, M. S., Wisniewski, S. R., Balasubramani, G. K., McCrone, P., & Brown, G. K.
Affiliations
University of Louisville (US)
Venue
American Journal of Psychiatry
Published
2018-03
Volume
175
Issue
3
Pages
242-250
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2760933138
Cited by
131
References
45
Citations by year
2026: 6 · 2025: 15 · 2024: 14 · 2023: 17 · 2022: 20 · 2021: 15 · 2020: 19 · 2019: 13 · 2018: 11 · 2017: 1
FWCI
13.77
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health (R01MH082794, R01MH082762)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
Keywords
cognitive behavioral therapy, major depressive disorder, online therapy, treatment efficacy, remission, treatment durability, non-inferiority
MeSH terms
Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Therapy, Computer-Assisted, Cognitive Behavioral Therapy

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