ArticleInternet interventions2025
Influence of patient satisfaction, system usability, and working alliance on depressive symptom improvement in blended cognitive behavioral therapy (bCBT): Secondary analysis of an open trial data.
Article in Internet interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions.Advances in experimental medicine and biology · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blended cognitive behavioral therapy (bCBT), which involves the use of a digital application to support face-to-face psychotherapy, is increasingly offered to patients with depression amid a growing body of research on its efficacy. However, there is still limited understanding of the factors that influence the efficacy of this novel treatment method. To investigate the effects of potential factors such as patient satisfaction with the received treatment, patients' self-rated working alliance with their therapist, and patients' rating of system usability of the digital application, this secondary analysis study focused on a sample of 66 university students who completed an effective 6-week bCBT program that included weekly sessions with a therapist and access to a digital mental health application. We examined whether those three potential factors predict patients' improvement in depressive symptoms in a bCBT treatment. Patient satisfaction and working alliance are known predictors of treatment success in standard psychotherapy, yet their importance in blended treatment is largely unstudied. System usability is a factor that is frequently addressed while describing digital treatment programs, yet its contribution to the success of treatments has been mostly omitted. All the variables analyzed displayed a significant positive correlation with improvement in depressive symptoms. When taken together, all the factors account for 16.6 % of the variance in the outcome. However, when three variables were added in the backward multiple linear regression with stepwise elimination, only patient satisfaction emerged as a predictor of the outcome. Although there are significant correlations between working alliance and system usability and the improvement of depression in the bCBT program, their lack of predictive power in comparison to patient satisfaction renders the results inconclusive. Future studies could explore the potential contribution of additional variables to the improvement of depressive symptoms.
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Registered trials
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