Community Study of Outcome Monitoring for Emotional Disorders in Teens (COMET): A comparative effectiveness trial of a transdiagnostic treatment and a measurement feedback system
Article
Jensen-Doss, A, Ehrenreich-May, J, Nanda, MM et al. (2018). Community Study of Outcome Monitoring for Emotional Disorders in Teens (COMET): A comparative effectiveness trial of a transdiagnostic treatment and a measurement feedback system
. CONTEMPORARY CLINICAL TRIALS, 74 18-24. 10.1016/j.cct.2018.09.011
Jensen-Doss, A, Ehrenreich-May, J, Nanda, MM et al. (2018). Community Study of Outcome Monitoring for Emotional Disorders in Teens (COMET): A comparative effectiveness trial of a transdiagnostic treatment and a measurement feedback system
. CONTEMPORARY CLINICAL TRIALS, 74 18-24. 10.1016/j.cct.2018.09.011
Emotional disorders, encompassing a range of anxiety and depressive disorders, are the most prevalent and comorbid psychiatric disorders in adolescence. Unfortunately, evidence-based psychosocial therapies typically focus on single disorders, are rarely adopted by community mental health center clinicians, and effect sizes are modest. This article describes the protocol for a comparative effectiveness study of two novel interventions designed to address these challenges. The first intervention is a transdiagnostic treatment (the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Adolescents, UP-A), a promising new approach that uses a small number of common strategies to treat a broad range of emotional disorders, and their underlying shared emotional vulnerabilities. The second intervention is a standardized measurement feedback system, the Youth Outcomes Questionnaire (YOQ), designed to improve clinical decision making using weekly symptom and relational data. The three study arms are treatment as usual (TAU), TAU plus the YOQ (TAU+), and UP-A (used in combination with the YOQ). The primary aims of the study are to [1] compare the effects of the UP-A and TAU+ to TAU in community mental health clinics, [2] to isolate the effects of measurement and feedback by comparing the UP-A and TAU+ condition, and [3] to examine the mechanisms of action of both interventions. Design considerations and study methods are provided to inform future effectiveness research.
