PATHway: Intervention optimization of a prevention program for adolescents at–risk for depression in the primary care setting

With as many as 13% of adolescents diagnosed with depressive disorders each year, prevention of depressive disorders has become a key priority for the National Institute of Mental Health (NIMH). Currently, we have no widely available interventions to prevent these disorders. To address this need, we...

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Published in:Contemporary clinical trials 2024-02, Vol.137, p.107413-107413, Article 107413
Main Authors: Gladstone, Tracy R.G., Zhong, Cordelia, Lowther, Matthew, Feinstein, Rebecca T., Fitzgibbon, Marian L., Gussin, Hélène A., Schiffer, Linda, Diviak, Kathleen, Berbaum, Michael L., Rusiewski, Calvin, Ramirez, Paula, Lefaiver, Cheryl, Canel, Jason, Mitchell, James, Buchholz, Katherine R., Van Voorhees, Benjamin W.
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Language:eng
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Summary:With as many as 13% of adolescents diagnosed with depressive disorders each year, prevention of depressive disorders has become a key priority for the National Institute of Mental Health (NIMH). Currently, we have no widely available interventions to prevent these disorders. To address this need, we developed a multi-health system collaboration to develop and evaluate the primary care based technology “behavioral vaccine,” Competent Adulthood Transition with Cognitive-Behavioral Humanistic and Interpersonal Therapy (CATCH-IT). The full CATCH-IT program demonstrated evidence of efficacy in prevention of depressive episodes in clinical trials. However, CATCH-IT became larger and more complex across trials, creating issues with adherence and scalability. We will use a multiphase optimization strategy approach to optimize CATCH-IT. The theoretically grounded components of CATCH-IT include: behavioral activation, cognitive-behavioral therapy, interpersonal psychotherapy, and parent program. We will use a 4-factor (2x2x2x2) fully crossed factorial design with N = 16 cells (25 per cell, after allowing 15% dropout) to evaluate the contribution of each component. Eligible at-risk youth will be high school students 13 through 18 years old, with subsyndromal symptoms of depression. The study design will enable us to eliminate non-contributing components while preserving efficacy and to optimize CATCH-IT by strengthening tolerability and scalability by reducing resource use. By reducing resource use, we anticipate satisfaction and acceptability will also increase, preparing the way for an implementation trial.
ISSN:1551-7144
1559-2030