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.

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.