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Investigation of active ingredients within internet cognitive-behavioral therapy for depression: a randomized optimization trial

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posted on 2025-08-02, 11:01 authored by E Watkins, A Newbold, M Tester-Jones, LM Collins, M Mostazir
IMPORTANCE: There is limited understanding of how complex evidence-based psychological interventions such as cognitive behavioral therapy (CBT) for depression work. Identifying active ingredients may help to make therapy more potent, brief, and scalable. OBJECTIVE: To test the individual main effects and interactions of 7 treatment components within internet-delivered CBT for depression to investigate its active ingredients. DESIGN, SETTING, AND PARTICIPANTS: This randomized optimization trial using a 32-condition, balanced, fractional factorial optimization experiment (IMPROVE-2) recruited adults with depression (Patient Health Questionnaire-9 [PHQ-9] score ≥10) from internet advertising and the UK National Health Service Improving Access to Psychological Therapies service. Participants were randomized from July 7, 2015, to March 29, 2017, with follow-up for 6 months after treatment until December 29, 2017. Data were analyzed from July 2018 to April 2023. INTERVENTIONS: Participants were randomized with equal probability to 7 experimental factors within the internet CBT platform, each reflecting the presence vs absence of specific treatment components (activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, absorption, and self-compassion training). MAIN OUTCOMES AND MEASURES: The primary outcome was depression symptoms (PHQ-9 score). Secondary outcomes include anxiety symptoms and work, home, and social functioning. RESULTS: Among 767 participants (mean age [SD] age, 38.5 [11.62] years; range, 18-76 years; 635 women [82.8%]), 506 (66%) completed the 6-month posttreatment follow-up. On average, participants receiving internet-delivered CBT had reduced depression (pre-to-posttreatment difference in PHQ-9 score, -7.79 [90% CI, -8.21 to -7.37]; 6-month follow-up difference in PHQ-9 score, -8.63 [90% CI, -9.04 to -8.22]). A baseline score-adjusted analysis of covariance model using effect-coded intervention variables (-1 or +1) found no main effect on depression symptoms for the presence vs absence of activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, or self-compassion training (posttreatment: largest difference in PHQ-9 score [functional analysis], -0.09 [90% CI, -0.56 to 0.39]; 6-month follow-up: largest difference in PHQ-9 score [relaxation], -0.18 [90% CI, -0.61 to 0.25]). Only absorption training had a significant main effect on depressive symptoms at 6-month follow-up (posttreatment difference in PHQ-9 score, 0.21 [90% CI, -0.27 to 0.68]; 6-month follow-up difference in PHQ-9 score, -0.54, [90% CI, -0.97 to -0.11]). CONCLUSIONS AND RELEVANCE: In this randomized optimization trial, all components of internet-delivered CBT except absorption training did not significantly reduce depression symptoms relative to their absence despite an overall average reduction in symptoms. The findings suggest that treatment benefit from internet-delivered CBT probably accrues from spontaneous remission, factors common to all CBT components (eg, structure, making active plans), and nonspecific therapy factors (eg, positive expectancy), with the possible exception of absorption focused on enhancing direct contact with positive reinforcers. TRIAL REGISTRATION: isrctn.org Identifier: ISRCTN24117387.

Funding

Cornwall Partnership NHS Foundation Trust

South West Academic Health Science Network

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© 2023 American Medical Association

Notes

This is the author accepted manuscript. The final version is available from the American Medical Association via the DOI in this record

Journal

JAMA Psychiatry

Pagination

942-951

Publisher

American Medical Association (AMA)

Place published

United States

Version

  • Accepted Manuscript

Language

en

FCD date

2023-11-16T12:56:43Z

FOA date

2023-11-16T12:58:56Z

Citation

Vol. 80(9), pp. 942-951

Department

  • Psychology

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