Clinical Judgments of Response Profiles: Do They Tell Us What Matters for Whom?

DeRubeis and colleagues (2014a) proposed that psychotherapy research has been limited by underappreciated variability in how patients respond to psychotherapy. They proposed that the relationship between the quality of therapy and outcome varies according to patient response profiles. In a study of cognitive-behavioral therapy (CBT) for depression, we tested clinician ratings of this construct as a moderator of the relationship between therapist adherence to cognitive or behavioral methods in predicting symptom change. Patients (N = 125) participated in CBT for depression. Assessors rated response profiles following the intake and therapists rated them after the first session. We collected data on adherence at the first five sessions and symptoms at the first six sessions. Therapist ratings following the first session, but not assessor ratings at intake, moderated the relationship between each form of adherence and symptom change. Patients given lower ratings (identifying them as spontaneous remitting or easy patients) had a stronger relationship between adherence and greater symptom change, with this relationship reversed such that adherence was related to less robust symptom change for those with the highest ratings (intractable or challenging patients). Our findings suggest promise for clinical evaluation of response profiles. We encourage future research evaluating refinements to such measures.

Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study.

BACKGROUND: Depressive and anxiety disorders are the most common mental disorders, and there is a critical need for effective, affordable, and accessible interventions. Cognitive Behavioral Immersion (CBI) is a novel group-based cognitive behavioral skills training program delivered by lay coaches in the metaverse that can be accessed through various modalities including virtual reality (VR) head-mounted displays or flat-screen devices. Combining its ability to offer empirically supported therapy skills in a digital setting that can still facilitate interpersonal variables (eg, working alliance and sense of social support) with the aid of lay coaches, CBI has the potential to help fill this critical need. OBJECTIVE: This study had 2 primary aims. First, we aimed to examine changes in depression and anxiety symptoms in a sample of individuals who participated in CBI. Second, we aimed to examine 2 interpersonal process variables (working alliance and web-based social support) as predictors of symptom changes. We predicted CBI participants would experience depression and anxiety symptom improvements and that such improvements would be associated with an increase in both interpersonal process variables. METHODS: The study sample consists of 127 participants who endorsed clinical levels of depression or anxiety symptoms during their first CBI session and attended at least 2 sessions. Participants were asked to complete self-report measures of depression symptoms, anxiety symptoms, alliance, and web-based social support throughout their participation in CBI. RESULTS: Repeated measures ANOVAs determined that depression and anxiety symptom scores differed significantly across sessions (Ps<.01). We also found participants' web-based social support predicted improvement in depression symptoms (P=.01), but neither the alliance nor web-based social support predicted change in anxiety symptoms (Ps>.05). We also observed a significant difference in anxiety symptoms between participants who used a VR head-mounted display to access CBI and those who did not, such that participants who used VR head-mounted displays endorsed lower anxiety symptoms than those who did not at nearly every session (P=.04). CONCLUSIONS: Participation in CBI is associated with both depression and anxiety symptom improvement. Web-based social support may play an important role in fostering changes in depression symptoms. Future studies are encouraged to continue examining the process of change in CBI with special attention paid to methods that can elucidate causal mechanisms of change.

Cognitive Behavioral Immersion for Substance Use Disorders: A Feasibility and Pilot Study of a Peer-Based Coaching Program in the Metaverse.

Introduction: Cognitive Behavioral Immersion (CBI) is a novel cognitive-behavioral skills program delivered by lay coaches in the metaverse through immersive virtual reality technology. Objectives: The objective for this study was to run a feasibility and pilot study of CBI for individuals in recovery from a substance use disorder. Methods: Data from 48 participants were used and program usage was assessed. Participants were asked to complete questionnaires assessing affect, perceived online social support, and group therapy alliance throughout their participation in the program. Structured qualitative interviews were also conducted with a subset of participants (n = 11) to understand the feasibility of the novel program. Results: Participants experienced a significant increase in their positive affect and non-significant decrease in their negative affect during their most recently attended session. Participants also experienced a nonsignificant increase in online social support across their participation in the program. Structured qualitative interviews revealed eight primary themes, including both advantages (community, psychoeducational impact, immersion, comparability with other interventions, coping in the pandemic, and anonymity) and areas of improvement (challenges and technological usability) of the program. Conclusion: This study provides preliminary support for the feasibility and potential effects of CBI and its incorporation of lay coaches to lead cognitive-behavioral skills groups in the metaverse. Future research is encouraged to examine the feasibility and efficacy of this program for a broader array of clinical presentations.

Cognitive restructuring and psychotherapy outcome: A meta-analytic review.

Cognitive restructuring (CR) is one method that is hypothesized to play a role in the process of change across many psychotherapies and for a variety of clinical presentations. In this article, we define and illustrate CR. We then present a meta-analysis of four studies (including a total of 353 clients) examining the effect of CR measured within session on psychotherapy outcomes. The overall CR-outcome association was r = .35 (95% CI [.24, .44]; equivalent of d = 0.85). While more research on CR and immediate psychotherapy outcomes is needed, there is accumulating encouraging evidence regarding the therapeutic effect of CR. We conclude by advancing implications for clinical training and therapeutic practices. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Congruence in patient and therapist-rated alliance predicts subsequent depressive symptoms in cognitive behavioral therapy for depression.

OBJECTIVE: The therapeutic alliance is a dyadic process involving both patient and therapist perspectives. We investigated the effect of patient and therapist agreement on the alliance in cognitive behavioral therapy for depression. METHOD: Patients (N = 191) were drawn from two studies of cognitive behavioral therapy for depression provided over 16 weeks. Alliance data were collected from patients and therapists at the first four sessions. Patients provided symptom data at each session. We used multilevel polynomial regression with response surface analysis to investigate the effect of alliance agreement and disagreement on symptoms. RESULTS: The within-person strength of patient and therapist-rated alliance (given agreement) predicted lower within-person symptoms. The nature and degree of the discrepancy in patient and therapist alliance scores was not a significant predictor. CONCLUSION: Patients and therapist alliance strength in early sessions (given agreement) predicted greater symptom change. Future research is needed to examine whether specific patient characteristics can be used to identify for whom the alliance plays a more or less important role.

Working with Black vs. White patients: an experimental test of therapist decision-making in cognitive behavioral therapy for depression.

Whether and how therapists' delivery of cognitive behavioral therapy (CBT) for depression differs by patients' ethnicity or race remains unclear. In this study, 218 therapists were randomized to clinical vignettes that involved the same text but varied in whether the accompanying image depicted a Black or White patient. Therapists exhibited three key differences in their views of clinical strategies for working with Black as compared to White patients. They viewed cognitive change strategies as less therapeutic and validation strategies as more therapeutic for Black patients. They reported similar differences for the time they would spend on each kind of strategy. When asked to compare the relative importance of cognitive change vs. validation strategies specifically, therapists rated validation as more important for Black than White patients. Among therapists presented with Black patients, positive racial attitudes were associated with viewing cognitive change and validation strategies as more therapeutic. These results suggest therapists tend to believe it is desirable to incorporate cognitive methods more limitedly when working with Black patients. Whether such adaptations enhance or detract from the care of Black patients is an important issue that merits future investigation.

When Are Therapists' Efforts to Bring about Cognitive Change Effective? Considering Interpersonal Vulnerabilities as Contextual Factors.

We examined interpersonal variables as moderators of the relation between therapists' use of cognitive change (CC) strategies and CC in a sample of 125 adults who participated in cognitive behavioral therapy for depression. We measured self-reported maladaptive personality characteristics, interpersonal problems, and social skills at intake. Observers rated therapist adherence to cognitive methods for the first five sessions. Patients reported in-session CC following each session. Cognitive methods predicted greater CC. The relation between cognitive methods and CC was moderated by maladaptive personality traits; this relation was stronger for patients with greater maladaptive personality traits. We encourage future research investigating moderators of therapist interventions of putative therapeutic mechanisms.

What Do People Really Think of Me? Evaluating Bias in Interpersonal Predictions Over the Course of Cognitive-Behavioral Therapy of Depression.

Cognitive behavioral therapy (CBT) of depression is hypothesized to achieve its effects by correcting negative biases. However, little research has tested how biases change over the course of CBT. We focus on biases in interpersonal judgments and examine whether changes in biases occur in CBT and are associated with symptom improvements. A sample of 126 adults (60% women, mean age 31.7, 83% White) participated in CBT of depression. Observers provided ratings of patients participating in two interpersonal tasks on three occasions. Patients were asked to predict observers' ratings. In a thin slice (TS) task, observers evaluated how patients came across in a brief segment in which patients talked about themselves. In a Standard Interaction Task (SIT), observers rated the social skills patients displayed in challenging role plays. The difference between patient predictions and observer ratings provided measures of bias in these interpersonal judgments. TS and SIT bias became significantly less pessimistic and more realistic over the course of CBT. Improvements in TS bias were associated with a faster reduction in symptoms, whereas there was a non-significant trend for improvement in SIT bias being associated with faster symptom reduction. Consistent with the CBT model, negative interpersonal biases became more realistic throughout a course of CBT for depression and at least some of the changes in bias were related to therapeutic outcomes. We encourage future researchers to continue examining for whom and under which conditions correcting such biases produces the greatest benefits.

Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data.

BACKGROUND: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom. METHODS: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomised controlled trials (RCTs) published from database inception to Jan 1, 2019, that compared any form of iCBT against another or a control condition in the acute treatment of adults (aged ≥18 years) with depression. Studies with inpatients or patients with bipolar depression were excluded. We sought individual participant data from the original authors. When these data were unavailable, we used aggregate data. Two independent researchers identified the included components. The primary outcome was depression severity, expressed as incremental mean difference (iMD) in the Patient Health Questionnaire-9 (PHQ-9) scores when a component is added to a treatment. We developed a web app that estimates relative efficacies between any two combinations of components, given baseline patient characteristics. This study is registered in PROSPERO, CRD42018104683. FINDINGS: We identified 76 RCTs, including 48 trials contributing individual participant data (11 704 participants) and 28 trials with aggregate data (6474 participants). The participants' weighted mean age was 42·0 years and 12 406 (71%) of 17 521 reported were women. There was suggestive evidence that behavioural activation might be beneficial (iMD -1·83 [95% credible interval (CrI) -2·90 to -0·80]) and that relaxation might be harmful (1·20 [95% CrI 0·17 to 2·27]). Baseline severity emerged as the strongest prognostic factor for endpoint depression. Combining human and automated encouragement reduced dropouts from treatment (incremental odds ratio, 0·32 [95% CrI 0·13 to 0·93]). The risk of bias was low for the randomisation process, missing outcome data, or selection of reported results in most of the included studies, uncertain for deviation from intended interventions, and high for measurement of outcomes. There was moderate to high heterogeneity among the studies and their components. INTERPRETATION: The individual patient data cNMA revealed potentially helpful, less helpful, or harmful components and delivery formats for iCBT packages. iCBT packages aiming to be effective and efficient might choose to include beneficial components and exclude ones that are potentially detrimental. Our web app can facilitate shared decision making by therapist and patient in choosing their preferred iCBT package. FUNDING: Japan Society for the Promotion of Science.

Getting down to business: an examination of occupational outcomes in cognitive behavioral therapy for depression.

Depression is associated with unemployment and poor occupational functioning. Although cognitive behavioral therapy (CBT) has been shown to reduce depressive symptoms, the degree to which it improves occupational outcomes has received little attention. We investigated change in job status and presenteeism (i.e., the inability to focus on and accomplish work) over the course of CBT. We assessed employment status, presenteeism, depressive symptoms, cognitive style, and CBT skills at intake and posttreatment in a sample of 126 participants enrolled in a 16-week course of CBT for depression. Employment status significantly improved from pre to posttreatment, with 11 of the 27 patients (41%) seeking to improve their employment status achieving this goal. Among the 59 consistently employed patients, presenteeism decreased significantly over the course of treatment (dz = 1.13). We also found, even after controlling for changes in symptoms, reductions in negative cognitive style (but not changes in CBT skills) were associated with reductions in presenteeism. Our findings suggest CBT patients experience positive changes in occupational outcomes, both in finding work and being more focused and productive at work. Changes in negative cognitive styles appeared to partly explain this latter change. We encourage future work examining CBT's impact on occupational outcomes.

Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis.

Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection: Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis: We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures: Patient Health Questionnaire-9 (PHQ-9) scores. Results: Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9. Conclusions and Relevance: In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

Pay no attention to the man behind the curtain: The overlooked issue of rater selection in psychotherapy observer ratings.

Objective: Psychotherapy process research relies heavily upon trained raters to identify and code therapist and client behaviors. Raters are often selected out of convenience or availability with little research to inform what qualities are desirable for this role. In this study, we evaluated several rater characteristics as potential predictors of raters' performance. Method: We provided training to 39 undergraduate students to serve as raters in a psychotherapy process study. We assessed baseline characteristics, personality characteristics, executive functioning, and interviewers' assessment of students' rating potential as predictors of rater agreement with gold standard ratings (i.e., consensus judgements from a panel of CBT-trained clinicians). We also assessed these variables as predictors of the risk of raters dropping out prior to completing assigned ratings. Results: Higher conscientiousness, higher neuroticism, and a lower year in college predicted greater agreement with the gold standard ratings. Lower year in college also predicted lower risk of dropout. Conclusion: These findings provide empirical support for key characteristics as predictors of rater performance. Such evidence raises the possibility of using these characteristics to select raters and thereby enhance the psychometric properties of psychotherapy ratings.

An examination of dysfunctional attitudes and extreme response styles as predictors of relapse in guided internet-based cognitive behavioral therapy for depression.

OBJECTIVES: Internet-based cognitive behavioral therapy (iCBT) is an effective treatment option for depression, but its long-term effects are not well understood. We investigate for whom iCBT may have more enduring effects by evaluating dysfunctional attitudes as predictors of relapse. METHODS: The sample consists of 31 iCBT responders (20 women, average age 31.6) who were followed for 1 year. RESULTS: Higher Dysfunctional Attitudes Scale scores predicted higher risk of relapse (hazard ratio = 1.98). This relation remained significant when controlling for high style (dysfunctional) or content (functional) responses. Having relatively more positive extreme responses on style rather than content items did not predict risk of relapse. CONCLUSIONS: Our results were consistent with the value of differentiating an extreme style of responding from otherwise endorsing belief in dysfunctional attitudes. Research that refines our understanding of patients' individual risk for relapse has the potential to inform how treatment might be individually tailored.