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Convergence in patient-therapist therapeutic alliance ratings and its relation to outcome in chronic depression treatment.

ABSTRACT: This study tested whether discrepancy between patients' and therapists' ratings of the therapeutic alliance, as well as convergence in their alliance ratings over time, predicted outcome in chronic depression treatment.Data derived from a controlled trial of partial or non-responders to open-label pharmacotherapy subsequently randomized to 12 weeks of algorithm-driven pharmacotherapy alone or pharmacotherapy plus psychotherapy. The current study focused on the psychotherapy conditions (N?=?357). Dyadic multilevel modeling was used to assess alliance discrepancy and alliance convergence over time as predictors of two depression measures: one pharmacotherapist-rated (Quick Inventory of Depressive Symptoms-Clinician; QIDS-C), the other blind interviewer-rated (Hamilton Rating Scale for Depression; HAMD).Patients' and therapists' alliance ratings became more similar, or convergent, over the course of psychotherapy. Higher alliance convergence was associated with greater reductions in QIDS-C depression across psychotherapy. Alliance convergence was not significantly associated with declines in HAMD depression; however, greater alliance convergence was related to lower HAMD scores at 3-month follow-up.The results partially support the hypothesis that increasing patient-therapist consensus on alliance quality during psychotherapy may improve treatment and longer term outcomes.

SUBMITTER: Laws HB

PROVIDER: S-EPMC4969229 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Convergence in patient-therapist therapeutic alliance ratings and its relation to outcome in chronic depression treatment.

Laws Holly B HB Constantino Michael J MJ Sayer Aline G AG Klein Daniel N DN Kocsis James H JH Manber Rachel R Markowitz John C JC Rothbaum Barbara O BO Steidtmann Dana D Thase Michael E ME Arnow Bruce A BA

Psychotherapy research : journal of the Society for Psychotherapy Research 20160201 4

<h4>Objective</h4>This study tested whether discrepancy between patients' and therapists' ratings of the therapeutic alliance, as well as convergence in their alliance ratings over time, predicted outcome in chronic depression treatment.<h4>Method</h4>Data derived from a controlled trial of partial or non-responders to open-label pharmacotherapy subsequently randomized to 12 weeks of algorithm-driven pharmacotherapy alone or pharmacotherapy plus psychotherapy. The current study focused on the ps ...[more]

PMID: 26829714

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Project description: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.

Project description:BackgroundBlended cognitive behavioral therapy (bCBT)-the combination of digital elements and face-to-face psychotherapy-has been proposed to alleviate challenges that patients and therapists face in conventional cognitive behavioral therapy. There is growing evidence that adding digital elements to face-to-face psychotherapy can contribute to better treatment outcomes. However, bCBT programs still show considerable shortcomings, and knowledge on how to improve digital apps using a bCBT protocol is limited.ObjectiveThis study aimed to inductively identify functions and qualities that are expected from a bCBT treatment for depression in the eyes of patients and psychotherapists who were not currently receiving or practicing bCBT treatment.MethodsWe used a qualitative exploratory study design and conducted 3 focus group interviews (n=6 in each) and 5 semistructured in-depth interviews with therapists as well as 11 individual interviews with patients with a primary diagnosis of depression and currently undergoing cognitive behavioral therapy treatment in Germany. Themes and categories were established inductively from transcribed interview records based on a rigorous coding method.ResultsBoth therapists and patients expected a digital app to provide patients with the opportunity to track their mood, work on therapeutic homework activities, easily access an intervention set for harder moments, and efficiently facilitate administrative tasks. The desire to be able to customize bCBT protocols to individual patient circumstances was evident in both patient and therapist interviews. Patients differed with respect to what content and the amount of material the app should focus on as well as the method of recording experiences. Therapists viewed digital apps as potentially aiding in their documentation work outside of sessions. Different attitudes surfaced on the topic of data security, with patients not as concerned as therapists.ConclusionsBoth patients and therapists had substantially positive attitudes toward the option of an integrated bCBT treatment. Our study presents novel findings on the expectations and attitudes of patients and therapists.

Project description:OBJECTIVE:Client ratings of the therapeutic alliance are an important predictor of outcome in the treatment of traumatized adolescents and adults, but less is known about the therapists' perspective. The aim of this study was to investigate how therapists' ratings relate to the adolescents' perspective, how individual therapist and adolescent ratings relate to change in symptoms and treatment satisfaction, and whether discrepant alliance perspectives impact treatment outcome. METHOD:The sample consisted of 156 youth (mean age 15.1, range 10-18), randomized to trauma-focused cognitive behavioral therapy or treatment as usual, and alliance ratings from 62 therapists. Alliance was measured midtreatment with the Therapeutic Alliance Scale for Children, and the factor structure of the two scales was analyzed with exploratory factor analyses. A change in posttraumatic symptoms was assessed with the Child PTSD Symptom Scale (CPSS) and the Clinicial-Administered PTSD Scale for Children and Adolescents (CAPS-CA). RESULTS:Therapist and client perspectives on the alliance were significantly, but moderately, associated (intraclass correlations [ICC]=0.54, p<0.001). Both scales predicted adolescent treatment satisfaction but only the client scale was significantly related to change in symptoms. Factor analyses revealed differences in factor structure with therapist ratings organized around bond and task dimensions and adolescent ratings organized by item valence. Higher therapist ratings compared to adolescent ratings predicted higher residual PTS symptoms. DISCUSSION:Although adolescent and therapist alliance ratings are moderately associated, results suggest that the ratings are differentially associated with outcomes. These findings, along with results indicating important differences in factor structure, imply that adolescent and therapist ratings are not interchangeable. Future studies should investigate how therapists can improve their judgments of adolescents' perceptions of the alliance as an overestimation of the quality of the relationship seems to be negatively related to outcome.

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Convergence in patient-therapist therapeutic alliance ratings and its relation to outcome in chronic depression treatment.

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Convergence in patient-therapist therapeutic alliance ratings and its relation to outcome in chronic depression treatment.

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