Negative mood regulation as a mechanism of change in cognitive therapy for depression.

The present study investigates the effects of negative mood regulation expectancies (NMRE) on symptom severity of depression in 2 cognitive therapies for depression. The sample included the first 146 consecutively recruited patients from a randomized controlled trial. Patients received 22 sessions of either cognitive-behavioral therapy or exposure-based cognitive therapy. They completed the Beck Depression Inventory and Negative Mood Regulation Scale at baseline and treatment termination, as well as after Sessions 7 and 14. Multilevel modeling was applied. We found a significant between-patient effect of NMRE on symptom severity of depression, when NMRE within-patient effects were set to random. There was no significant interactive effect of the between-patient NMRE with type of treatment. However, a significant moderation effect of the within-patient NMRE effect by treatment condition on depression severity was detected, with patients receiving cognitive-behavioral therapy benefiting more from improvements in NMRE. Together, these results empirically support NMRE as a relevant mechanism of change in cognitive therapy for depression. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Effects of patient-therapist interpersonal complementarity on alliance and outcome in cognitive-behavioral therapies for depression: Moving toward interpersonal responsiveness.

This study analyzed patient-therapist in-session interpersonal complementarity effects on the therapeutic alliance and depression severity during the initial and working phase of cognitive-behavioral therapy for depression. It also explored whether patients' interpersonal problems moderate those complementarity effects. We drew on a sample of 90 dyads derived from a randomized controlled trial of two cognitive-behavioral therapies for depression. Using an observer-based measure, we assessed patients' and therapists' interpersonal behavior in Sessions 1, 5, 9, and 13 and computed their complementarity regarding interpersonal affiliation (i.e., correspondence) and dominance (i.e., reciprocity). Patients completed measures of interpersonal problems at baseline and session-by-session measures of depression severity and quality of the therapeutic alliance. Response surface analyses based on polynomial regressions showed that patient-therapist complementarity in higher affiliative behaviors was associated with a stronger alliance. Interpersonal problems regarding agency moderated the complementarity effects of the dominance dimensions on depression severity. Overly dominant patients benefited more from a nonreciprocal relationship in the dominance dimension, whereas submissive patients benefited more from complementarity in that dimension. Furthermore, interpersonal problems of communion significantly moderated the effects of complementarity in affiliative behaviors on both the alliance and outcome. These results suggest the relevance of both interpersonal correspondence and reciprocity for the psychotherapy process, informing clinical practice in terms of interpersonal responsiveness. The moderation effects of interpersonal problems provide preliminary evidence, which should be replicated in future research, to determine relevant markers indicating for whom a complementary approach would be beneficial in cognitive therapy for depression. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Association of Therapeutic Alliance With Long-Term Outcome in a Guided Internet Intervention for Depression: Secondary Analysis From a Randomized Control Trial.

BACKGROUND: Therapeutic alliance has been well established as a robust predictor of face-to-face psychotherapy outcomes. Although initial evidence positioned alliance as a relevant predictor of internet intervention success, some conceptual and methodological concerns were raised regarding the methods and instruments used to measure the alliance in internet interventions and its association with outcomes. OBJECTIVE: The aim of this study was to explore the alliance-outcome association in a guided internet intervention using a measure of alliance especially developed for and adapted to guided internet interventions, showing evidence of good psychometric properties. METHODS: A sample of 223 adult participants with moderate depression received an internet intervention (ie, Deprexis) and email support. They completed the Working Alliance Inventory for Guided Internet Intervention (WAI-I) and a measure of treatment satisfaction at treatment termination and measures of depression severity and well-being at termination and 3- and 9-month follow-ups. For data analysis, we used two-level hierarchical linear modeling that included two subscales of the WAI-I (ie, tasks and goals agreement with the program and bond with the supporting therapist) as predictors of the estimated values of the outcome variables at the end of follow-up and their rate of change during the follow-up period. The same models were also used controlling for the effect of patient satisfaction with treatment. RESULTS: We found significant effects of the tasks and goals subscale of the WAI-I on the estimated values of residual depressive symptoms (γ02=-1.74, standard error [SE]=0.40, 95% CI -2.52 to -0.96, t206=-4.37, P<.001) and patient well-being (γ02=3.10, SE=1.14, 95% CI 0.87-5.33, t198=2.72, P=.007) at the end of follow-up. A greater score in this subscale was related to lower levels of residual depressive symptoms and a higher level of well-being. However, there were no significant effects of the tasks and goals subscale on the rate of change in these variables during follow-up (depressive symptoms, P=.48; patient well-being, P=.26). The effects of the bond subscale were also nonsignificant when predicting the estimated values of depressive symptoms and well-being at the end of follow-up and the rate of change during that period (depressive symptoms, P=.08; patient well-being, P=.68). CONCLUSIONS: The results of this study point out the importance of attuning internet interventions to patients' expectations and preferences in order to enhance their agreement with the tasks and goals of the treatment. Thus, the results support the notion that responsiveness to a patient's individual needs is crucial also in internet interventions. Nevertheless, these findings need to be replicated to establish if they can be generalized to different diagnostic groups, internet interventions, and supporting formats.