A Review of Transdiagnostic Mechanisms in Cognitive Behavior Therapy.

Cognitive behavior therapies (CBTs) are the gold standard treatment for many psychiatric conditions. However, relatively little is known about how CBTs work. By characterizing these mechanisms, researchers can ensure CBTs retain their potency across diagnoses and delivery contexts. We review 3 classes of putative mechanisms: CBT-specific skills (eg, cognitive restructuring, behavioral activation), transtheoretical mechanisms (eg, therapeutic alliance, treatment expectancies, self-efficacy beliefs), and psychopathological mechanisms (aversive reactivity, positive affect, attachment style). We point to future research within each class and emphasize the need for more intensive longitudinal designs to capture how each class of mechanisms interacts with the others to improve outcomes.

Skill Use Mediates the Within-Person Effect of the Alliance on Session-to-Session Changes in Anxiety and Depression in the Unified Protocol.

Objective: Both the therapeutic alliance and the specific skills taught in treatment are thought to contribute to change in cognitive-behavior therapy (CBT), but it is unclear if or how these processes influence each other and outcomes in treatment. We tested the hypothesis that the degree to which patients used CBT skills would mediate the relation between the alliance and session-to-session changes in anxiety and depression. Method: Adult participants (N = 70; Mage = 33.74, 67% female, 70% White) with emotional disorders were randomized to receive 6 or 12 sessions of the Unified Protocol. Before each session, participants reported anxiety and depression severity and past-week skillfulness. After each session, participants rated the strength of the alliance. We tested whether greater within-person skillfulness mediated the relation between within-person alliance strength and session-to-session changes in anxiety and depression. Results: Skillfulness significantly mediated the effect of the alliance on session-to-session changes in anxiety, ab = -.02, p = .04, and depression, ab = -.02, p = .02, such that a stronger alliance predicted greater next-session skillfulness, which predicted session-to-session decreases in anxiety and depression. When alliance subscales were examined separately, the strongest effect was observed for agreement on therapy tasks. Conclusions: Improvements in the alliance may facilitate skill use and indirectly predict reductions in anxiety and depression through skill use in CBT. We encourage research on how to enhance both the alliance and skillfulness in CBT.

Latent classes of symptom trajectories during partial hospitalization for major depressive disorder and generalized anxiety disorder.

BACKGROUND: A variety of treatments have been empirically validated in the treatment of major depressive disorder and generalized anxiety disorder. Researchers commonly evaluate symptom change during treatment using single model curves, however, modeling multiple curves simultaneously allows for the identification of subgroups of patients that progress through treatment on distinct paths. METHODS: Latent growth mixture modeling was used to identify and characterize distinct classes of symptom trajectories among two samples of patients with either MDD or GAD receiving treatment in a daily partial hospital program. RESULTS: Four depression symptom trajectories were identified in the MDD sample, and three anxiety symptom trajectories were identified in the GAD sample. Both samples shared symptom trajectory classes of responders, rapid responders, and minimal responders, while the MDD sample demonstrated an additional class of early rapid responders. In both samples, low symptom severity at baseline was associated with membership in the responder class, though few other patterns emerged in baseline characteristics predicting trajectory class membership. At treatment discharge, those in the minimal responder class reported poorer outcomes on every clinical measure. Patients within each class reported similar scores at discharge as compared to each other class, indicating that class membership affects clinical measures beyond symptom severity. LIMITATIONS: Patient demographic characteristics were relatively homogeneous. Group-based trajectory modeling inherently involves some degree of uncertainty regarding the number and shape of trajectories. CONCLUSIONS: Identifying symptom trajectories can provide information regarding how patients are likely to progress through treatment, and thus inform clinicians when a patient deviates from expected progress.

The effects of the Unified Protocol and Unified Protocol skills on loneliness in the COVID-19 pandemic.

BACKGROUND: Loneliness is a significant public health concern with no established first-line intervention although modular, transdiagnostic, cognitive-behavioral interventions, such as the Unified Protocol (UP), are promising candidates. The UP contains skill modules to target anxiety, depression, and related conditions, although it is unclear if the UP can reduce loneliness and if UP skill use contributes to these reductions. METHODS: Using data from the first-stage randomization of a sequential multiple assignment randomized trial, we tested whether the UP led to reductions in loneliness and whether specific dimensions of UP skill use predicted session-to-session changes in loneliness. Participants (N = 70; Mage = 33.74, 67% female, 74% white) completed six sessions of core UP modules, reporting how frequently they felt lonely and used UP skills before each session. Using hierarchical linear modeling, we examined the trajectory of change in loneliness and disaggregated between- from within-person variability to test session-to-session effects of skill use. RESULTS: Loneliness significantly decreased during treatment with the UP. Using more UP skills than one's personal average, but not frequency of skill use, predicted session-to-session decreases in loneliness. CONCLUSIONS: Therapists may be encouraged to guide patients toward using a large quantity of different skills to specifically address loneliness.

Sudden gains and treatment outcomes among depressed individuals in a partial hospitalization programme.

Sudden gains commonly occur among patients receiving psychotherapy for depression and have been found to consistently predict better treatment outcomes. However, the majority of prior research has examined sudden gains primarily in weekly or biweekly treatment settings. Individuals were divided into two groups: those who experienced at least one sudden gain and those who did not. Rates of sudden gain occurrence, pretreatment factors and posttreatment outcomes were examined between the two groups. Over 60% of this sample experienced at least one sudden gain, the majority of which occurred during the first 3 days of treatment. Sudden gains were associated with significantly lower baseline depression and anxiety severity. Patients who experienced sudden gains reported significantly greater improvement in depressive and anxiety symptoms, coping skills, functioning, positive mental health and well-being at treatment termination. This study was conducted in a single location with a relatively homogeneous sample. Due to a lack of follow-up data, we were unable to determine if treatment outcomes were sustained after treatment termination. The assessment timeline of the depressive symptoms differs between baseline and daily scales, which may have affected the number of observed sudden gains after the initial treatment day. The proportion of sudden gains in this study is higher than those found in outpatient settings, demonstrating that this phenomenon may commonly occur among depressed patients in acute treatment. These results suggest that the mechanisms by which sudden gains occur may be reinforced by daily, intensive treatment.

Telehealth Treatment of Patients in an Intensive Acute Care Psychiatric Setting During the COVID-19 Pandemic: Comparative Safety and Effectiveness to In-Person Treatment.

BACKGROUND: Most research evaluating telehealth psychiatric treatment has been conducted in outpatient settings. There is a great lack of research assessing the efficacy of telehealth treatment in more acute, intensive treatment settings such as a partial hospital. In the face of the COVID-19 pandemic, much of behavioral health treatment has transitioned to a virtual format. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the effectiveness of our partial hospital program (PHP). METHOD: The sample included 207 patients who were treated virtually from May 2020 to September 2020 and a comparison group of 207 patients who were treated in the in-person partial program a year earlier. Patients completed self-administered measures of patient satisfaction, symptoms, coping ability, functioning, and general well-being. RESULTS: For both the in-person and telehealth methods of delivering partial hospital level of care, patients were highly satisfied with treatment and reported a significant reduction in symptoms and suicidality from admission to discharge. On the modified Remission from Depression Questionnaire, the primary outcome measure, both groups reported a significant (P < .01) improvement in functioning, coping ability, positive mental health, and general well-being. A large effect size of treatment (Cohen d > 0.8) was found in both treatment groups. The only significant difference in outcome between the patients treated in the different formats was a greater length of stay (mean ± SD of 13.5 ± 8.1 vs 8.5 ± 5.0 days, t = 7.61, P < .001) and greater likelihood of staying in treatment until completion (72.9% vs 62.3%, χ2 = 5.34, P < .05) in the virtually treated patients. CONCLUSIONS: Telehealth partial hospital treatment was as effective as in-person treatment in terms of patient satisfaction, symptom reduction, suicidal ideation reduction, and improved functioning and well-being. The treatment completion rate was higher in the telehealth cohort, and several patients who were treated virtually commented that they never would have presented for in-person treatment even if there was no pandemic. Telehealth PHPs should be considered a viable treatment option even after the pandemic has resolved.

Assessing Suicidal Ideation Using a Brief Self-Report Measure.

Accurate assessment of suicidal thoughts is a challenge for researchers and clinicians. There is evidence that self-report and clinical interview assessment methods can result in different endorsement numbers when used to assess suicidal ideation. This study investigates endorsement rates and psychometric properties of a two-item self-report measure of suicidal ideation that distinguishes active from passive suicidal ideation, when compared with a clinical interview. Individuals presenting at an outpatient psychiatry clinic completed a measure of depression severity containing two items assessing passive and active suicidal ideation before undergoing a structured clinical interview. Self-report and clinical interview items demonstrated a low level of agreement. Self-report items were more strongly correlated with same-domain clinical interviewer ratings than different-domain ratings. These items demonstrated high negative predictive value and moderate-to-low positive predictive value for interviewer ratings. A two-item measure of suicidal ideation did not highly align with corresponding interviewer ratings, though such a measure may be useful in determining the absence of suicidal ideation, as well as distinguishing between passive and active suicidal ideation.