ArticleContemporary clinical trials2024
PATHway: Intervention optimization of a prevention program for adolescents at-risk for depression in the primary care setting.
Article in Contemporary clinical trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A whole-of-society approach to depression prevention during the global pandemic: Preliminary data from three large-scale trials.Journal of consulting and clinical psychology · 2025Trial
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Authors and funding
16 authors.
Funding
Abstract
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.
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