The Nature, Timing, and Symptom Trajectories of Dropout From Transdiagnostic and Single-Diagnosis Cognitive-Behavioral Therapy for Anxiety Disorders.

Dropout from psychotherapy is common and can have negative effects for patients, providers, and researchers. A better understanding of when and why patients stop treatment early, as well as actionable factors contributing to dropout, has the potential to prevent it. Here, we examined dropout from a large randomized controlled trial of transdiagnostic versus single-diagnosis cognitive-behavioral treatment (CBT) for patients with anxiety disorders (n = 179; Barlow et al., 2017). We aimed to characterize the timing of and reasons for dropout and test whether participants who dropped out had different symptom trajectories than those who completed treatment. Results indicated that overall, the greatest risk of dropout was prior to the first treatment session. In single-diagnosis CBT, dropout risk was particularly elevated before the first session and after other early sessions, whereas in transdiagnostic CBT, dropout risk was low and stable before and during treatment. Participants most often dropped out due to failure to comply with study procedures or dissatisfaction with or desiring alternative treatment. Results from multilevel models showed that trajectories of anxiety symptoms did not significantly differ between dropouts and completers. These findings suggest that there may be specific time windows for targeted and timely interventions to prevent dropout from CBT.

Efficacy of the Unified Protocol for the treatment of comorbid alcohol use and anxiety disorders: Study protocol and methods.

Alcohol Use Disorder (AUD) and anxiety disorders (ANX) are each highly prevalent and frequently co-occur, resulting in a complex clinical presentation. The existing literature to date has not yet identified how to best treat comorbid AUD/ANX, partially due to limitations in understanding what factors and mechanisms are implicated in their co-occurrence. This manuscript describes the rationale and methods for an ongoing randomized-controlled trial designed to evaluate the efficacy of a cognitive behavioral intervention, the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP), compared to Take Control (TC), a psychosocial and motivational treatment serving as a control condition in this study, for comorbid AUD/ANX. Sixty individuals with comorbid AUD/ANX will be randomized to UP or TC, and complete assessments at pre- and post-treatment, as well as one- and six-month follow-up points. We hypothesize that the UP, compared to TC, will result in significantly greater reductions in drinking-related outcomes, as well as anxiety and depressive-related outcomes. Additionally, the current study is designed to evaluate exploratory aims to contribute to our theoretical understanding of why AUD and ANX frequently co-occur. Specifically, we will examine the relationship between changes in AUD and ANX symptoms in relation to changes in emotional disorder mechanisms, such as emotion regulation. Because the UP is a transdiagnostic treatment that specifically targets underlying components of emotional disorders generally, it may be well suited to effectively target comorbid AUD/ANX.

Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

A growing literature is utilizing machine learning methods to develop psychopathology risk algorithms that can be used to inform preventive intervention. However, efforts to develop algorithms for internalizing disorder onset have been limited. The goal of this study was to utilize prospective survey data and ensemble machine learning to develop algorithms predicting adult onset internalizing disorders. The data were from Waves 1-2 of the National Epidemiological Survey on Alcohol and Related Conditions (n = 34,653). Outcomes were incident occurrence of DSM-IV generalized anxiety, panic, social phobia, depression, and mania between Waves 1-2. In total, 213 risk factors (features) were operationalized based on their presence/occurrence at the time of or before Wave 1. For each of the five internalizing disorder outcomes, super learning was used to generate a composite algorithm from several linear and non-linear classifiers (e.g., random forests, k-nearest neighbors). AUCs achieved by the cross-validated super learner ensembles were in the range of 0.76 (depression) to 0.83 (mania), and were higher than AUCs achieved by the individual algorithms. Individuals in the top 10% of super learner predicted risk accounted for 37.97% (depression) to 53.39% (social anxiety) of all incident cases. Thus, the algorithms achieved acceptable-to-excellent prediction accuracy with a high concentration of incident cases observed among individuals predicted to be highest risk. In parallel with the development of effective preventive interventions, further validation, expansion, and dissemination of algorithms predicting internalizing disorder onset/trajectory could be of great value.

Efficacy of the Unified Protocol for transdiagnostic treatment of comorbid psychopathology accompanying emotional disorders compared to treatments targeting single disorders.

OBJECTIVE: This study aimed to examine whether the Unified Protocol (UP), a transdiagnostic cognitive-behavioral therapy for emotional disorders (i.e., anxiety, mood, and related disorders), is efficacious in the treatment of co-occurring emotional disorders compared to established single disorder protocols (SDPs) that target specific disorders (e.g., panic disorder). METHOD: Participants included 179 adults seeking outpatient psychotherapy. Participant age ranged from 18 to 66 years, with an average of 30.66 years (SD = 10.77). The sample was 55% female and mostly Caucasian (83%). Diagnostic assessments were completed with the Anxiety Disorder Interview Schedule (ADIS), and disorder-specific, clinician-rated measures for the comorbid diagnoses of interest. RESULTS: In both treatment conditions, participants' mean number of diagnoses dropped significantly from baseline to posttreatment, and baseline to 12-month follow-up. Additionally, large effects were observed for changes in comorbid generalized anxiety (ESSG: UP = -1.72; SDP = -1.98), social anxiety (ESSG: UP = -1.33, -0.86; SDP = -1.60, -1.54), and depression (ESSG: UP = -0.83; SDP = -0.84). Significant differences were not observed in between-group comparisons. CONCLUSIONS: Results suggest that both the UP and SDPs are efficacious in reducing symptoms of comorbid emotional disorders. The clinical, practical, and cost-effective advantages of transdiagnostic CBT are discussed.