Emily M. Bowers, Korena S. Klimczak, Michael E. Levin
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Evaluating the naturalistic implementation of a peer-coaching service to augment online acceptance and commitment therapy for college mental health
Digital Mental Health Interventions (DMHIs) offer accessible and scalable mental health services for college students; however, program adherence is often suboptimal. Peer-delivered coaching is an innovative solution to improve DMHI adherence rates but has yet to be examined in a naturalistic setting to assess implementation and scalability when provided as a public service. To test the external validity of peer-support coaching, we collected data from a naturalistic university sample of students using a free online self-help program, Acceptance and Commitment Therapy (ACT) Guide. The predictors of peer coaching sign-ups, feasibility of implementing a peer coaching program, and effects of peer coaching on DMHI adherence were examined. Of the total sample who registered for ACT Guide, 17.2 % enrolled in peer coaching services. Students who identified as men and those who had worked with a mental health provider were more likely to sign up for peer-coaching, while older and more anxious students were more likely to engage with peer-coaching calls. Relatively low peer-coaching sign-up and high peer-coaching dropout rates were observed. These findings suggest peer-coaching services within naturalistic settings may be a feasible solution to address DMHI engagement for a small subset of users, though scalability and implementation challenges remain.
期刊介绍:
The Journal of Contextual Behavioral Science is the official journal of the Association for Contextual Behavioral Science (ACBS).
Contextual Behavioral Science is a systematic and pragmatic approach to the understanding of behavior, the solution of human problems, and the promotion of human growth and development. Contextual Behavioral Science uses functional principles and theories to analyze and modify action embedded in its historical and situational context. The goal is to predict and influence behavior, with precision, scope, and depth, across all behavioral domains and all levels of analysis, so as to help create a behavioral science that is more adequate to the challenge of the human condition.