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Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology.
- Source :
- Cognitive & Behavioral Practice; Nov2024, Vol. 31 Issue 4, p482-497, 16p
- Publication Year :
- 2024
-
Abstract
- • STAND is an evidence-based treatment for adolescent ADHD that focuses on engagement. • Provides a summary of the development of a community implementation model for STAND. • Features include use of artificial intelligence to monitor fidelity and digitizing clinician resources. • Pilot work in three community agencies suggests acceptability, feasibility, and fidelity to the model. Implementation of behavior therapy for ADHD faces challenges in community settings. We describe development of a community-based implementation model for adolescent ADHD behavior therapy (Supporting Teens' Autonomy Daily; STAND) blended with Motivational Interviewing (MI). A stakeholder-engaged development approach is used based on the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. Resulting model features include: (a) task-shifting supervision from experts to agency supervisors, (b) holding bi-weekly technical assistance drop-ins to provide training and implementation supports, (c) MI integrity monitoring and feedback by artificial intelligence (AI), (d) AI-generated metrics for STAND content fidelity, (e) digitizing resources (manual, worksheets, tips, videos) on a clinician dashboard, (f) creating visual displays of feedback using badges and graphs, and (g) adding a rapport-building session prior to manualized content. We conducted stakeholder focus groups (N = 32) and two pilot studies to evaluate the new STAND AI measurement tool and revised service-delivery model (N = 6 therapists, 7 youth and parents, 3 agency supervisors). Results revealed advantages and disadvantages of the model, supported the promise of a STAND AI fidelity measurement tool, and indicated initial feasibility, acceptability, and agency engagement in STAND's community-based implementation model. We discuss future directions for continued iterative development and testing. Video examples are included as supplementary material. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10777229
- Volume :
- 31
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- Cognitive & Behavioral Practice
- Publication Type :
- Academic Journal
- Accession number :
- 180114712
- Full Text :
- https://doi.org/10.1016/j.cbpra.2023.02.001