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Updated: May 7, 2025

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

Margaret H Sibley1, Leonard Bickman2, David Atkins3

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Summary
This summary is machine-generated.

This study introduces a new community-based model for adolescent ADHD behavior therapy (Supporting Teens' Autonomy Daily; STAND), enhanced with artificial intelligence (AI) for fidelity monitoring. The AI tool shows promise for improving treatment delivery in real-world settings.

Keywords:
ADHDartificial intelligencecommunity mental healthdigital technology

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Area of Science:

  • Behavioral Science
  • Clinical Psychology
  • Implementation Science

Background:

  • Implementing behavior therapy for Attention-Deficit/Hyperactivity Disorder (ADHD) in community settings presents significant challenges.
  • Existing models often struggle with scalability and consistent delivery.

Purpose of the Study:

  • To develop and evaluate a community-based implementation model for adolescent ADHD behavior therapy, named Supporting Teens' Autonomy Daily (STAND).
  • To integrate Motivational Interviewing (MI) and leverage artificial intelligence (AI) for enhanced support and fidelity monitoring.

Main Methods:

  • A stakeholder-engaged development approach using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework.
  • Incorporation of task-shifting supervision, bi-weekly technical assistance, AI for MI integrity monitoring, and AI-generated metrics for STAND fidelity.
  • Digitization of resources on a clinician dashboard with visual feedback displays and pilot testing with therapists, youth, and parents.

Main Results:

  • The developed STAND model demonstrated initial feasibility, acceptability, and agency engagement.
  • The AI-driven STAND fidelity measurement tool showed promise in pilot evaluations.
  • Stakeholder feedback highlighted both advantages and disadvantages of the revised service-delivery model.

Conclusions:

  • The community-based STAND model, enhanced with AI, offers a promising approach for delivering adolescent ADHD behavior therapy.
  • Iterative development and testing are crucial for refining the model and its AI components for broader implementation.
  • The study supports the potential of AI in monitoring and improving the fidelity of behavioral interventions in community settings.