Trial reportJAMA network open2022
Effect of Computer-Assisted Cognitive Behavior Therapy vs Usual Care on Depression Among Adults in Primary Care: A Randomized Clinical Trial.
Trial report in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02700009 (Dissemination of Computer-assisted Cognitive-behavior Therapy for Depression in Primary Care), which is not on this map. Cited by 14 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Dissemination of Computer-assisted Cognitive-behavior Therapy for Depression in Primary Care
Who cites it
14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Next-Generation Cognitive-Behavioral Therapy for Depression: Integrating Digital Tools, Teletherapy, and Personalization for Enhanced Mental Health Outcomes.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- App-Based Interventions for Moderate to Severe Depression: A Systematic Review and Meta-Analysis.JAMA network open · 2023Pooled it
- Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- Longer-term effects of modernized collaborative care for depression on multiple mental health factors (eIMPACT): A randomized controlled trial.Journal of affective disorders · 2026Trial
- Cost-Effectiveness of Computer-Assisted Cognitive Behavioral Therapy for Depression Among Adults in Primary Care.JAMA network open · 2024Trial
- Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).Cancer medicine · 2023Trial
- Adapting depression collaborative care models to increase uptake of computerized cognitive behavioral therapy at the VA: A pilot randomized controlled trial.General hospital psychiatryTrial
- A Placebo-Controlled Randomized Trial of the Effects of Escitalopram on Depressive Symptoms and Immune Function in People With HIV.Biological psychiatry global open science · 2026Article
- What do primary care clinicians and patients think about internet-based computerized cognitive behavioral therapy for depression? A qualitative study from the Veterans Health Administration.Psychological services · 2025Article
- Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends.International journal of general medicine · 2024Review
- Chronic mental health vulnerability: urgent need of transdiagnostic evidence-based interventionsTrends in psychiatry and psychotherapy · 2024Article
- Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms.Frontiers in digital health · 2023Review
- Use of Telehealth to Address Depression and Anxiety in Low-income US Populations: A Narrative Review.Journal of primary care & community healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 4 countries.
Funding
Abstract
Importance: Depression is a common disorder that may go untreated or receive suboptimal care in primary care settings. Computer-assisted cognitive behavior therapy (CCBT) has been proposed as a method for improving access to effective psychotherapy, reducing cost, and increasing the convenience and efficiency of treatment for depression. Objectives: To evaluate whether clinician-supported CCBT is more effective than treatment as usual (TAU) in primary care patients with depression and to examine the feasibility and implementation of CCBT in a primary care population with substantial numbers of patients with low income, limited internet access, and low levels of educational attainment. Design, Setting, and Participants: This randomized clinical trial included adult primary care patients from clinical practices at the University of Louisville who scored 10 or greater on the Patient Health Questionnaire-9 (PHQ-9) and were randomly assigned to CCBT or TAU for 12 weeks of active treatment. Follow-up assessments were conducted 3 and 6 months after treatment completion. Enrollment occurred from June 24, 2016, to May 13, 2019. The last follow-up assessment was conducted on January 30, 2020. Interventions: CCBT included use of the 9-lesson computer program Good Days Ahead, along with as many as 12 weekly telephonic support sessions of approximately 20 minutes with a master's level therapist, in addition to TAU, which consisted of the standard clinical management procedures at the primary care sites. TAU was uncontrolled, but use of antidepressants and psychotherapy other than CCBT was recorded. Main Outcomes and Measures: The primary outcome measure (PHQ-9) and secondary outcome measures (Automatic Thoughts Questionnaire for negative cognitions, Generalized Anxiety Disorder-7, and the Satisfaction with Life Scale for quality of life) were administered at baseline, 12 weeks, and 3 and 6 months after treatment completion. Satisfaction with treatment was assessed with the Client Satisfaction Questionnaire-8. Results: The sample of 175 patients was predominately female (147 of 174 [84.5%]) and had a high proportion of individuals who identified as racial and ethnic minority groups (African American, 44 of 162 patients who reported [27.2%]; American Indian or Alaska Native, 2 [1.2%]; Hispanic, 4 [2.5%]; multiracial, 14 [8.6%]). An annual income of less than $30 000 was reported by 88 of 143 patients (61.5%). Overall, 95 patients (54.3%) were randomly assigned to CCBT and 80 (45.7%) to TAU. Dropout rates were 22.1% for CCBT (21 patients) and 30.0% for TAU (24 patients). An intent-to-treat analysis found that CCBT led to significantly greater improvement in PHQ-9 scores than TAU at posttreatment (mean difference, -2.5; 95% CI, -4.5 to -0.8; P = .005) and 3 month (mean difference, -2.3; 95% CI, -4.5 to -0.8; P = .006) and 6 month (mean difference, -3.2; 95% CI, -4.5 to -0.8; P = .007) follow-up points. Posttreatment response and remission rates were also significantly higher for CCBT (response, 58.4% [95% CI, 46.4-70.4%]; remission, 27.3% [95% CI, 16.4%-38.2%]) than TAU (response, 33.1% [95% CI, 20.7%-45.5%]; remission, 12.0% [95% CI, 3.3%- 20.7%]). Conclusions and Relevance: In this randomized clinical trial, CCBT was found to have significantly greater effects on depressive symptoms than TAU in primary care patients with depression. Because the study population included people with lower income and lack of internet access who typically have been underrepresented or not included in earlier investigations of CCBT, results suggest that this form of treatment can be acceptable and useful in diverse primary care settings. Additional studies with larger samples are needed to address implementation procedures that could enhance the effectiveness of CCBT and to examine potential factors associated with treatment outcome. Trial Registration: ClinicalTrials.gov Identifier: NCT02700009.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.