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Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology

  • Margaret H. Sibley
  • , Leonard Bickman
  • , David Atkins
  • , Michael Tanana
  • , Stefany Coxe
  • , Mercedes Ortiz
  • , Pablo Martin
  • , Julian King
  • , Jessica M. Monroy
  • , Teodora Ponce
  • , Jenny Cheng
  • , Brian Pace
  • , Xin Zhao
  • , Varun Chawla
  • , Timothy F. Page

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)482-497
Number of pages16
JournalCognitive and Behavioral Practice
Volume31
Issue number4
DOIs
StatePublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2023 Association for Behavioral and Cognitive Therapies

ASJC Scopus Subject Areas

  • Clinical Psychology

Keywords

  • ADHD
  • artificial intelligence
  • community mental health
  • digital technology

Disciplines

  • Business

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