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Beyond Observable Participation: Occupational Experiences, Temporal Dynamics, and Resources Used in Posttraumatic Stress Disorder.

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Related Experiment Video

Updated: Jul 10, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

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Cognitive-Functional Intervention for Adults With ADHD (Cog-Fun-A): An Extreme Case Series Analysis.

Ifat Velder Shukrun1, Jennifer R Budman1, Adina Maeir1

  • 1Hebrew University of Jerusalem, Israel.

OTJR : Occupation, Participation and Health
|July 9, 2026
PubMed
Summary

Cognitive-Functional Intervention for Adults (Cog-Fun-A) shows promise for adults with attention-deficit/hyperactivity disorder (ADHD), improving quality of life and occupational performance for some. Individual factors like motivation and environment influence treatment outcomes.

Keywords:
ADHDCog-Fun-Ametacognitive interventionoccupational performancequality of life

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Occupational Therapy

Background:

  • Adults with attention-deficit/hyperactivity disorder (ADHD) frequently encounter executive dysfunction, impacting daily functioning and well-being.
  • Occupation-based interventions are designed to mitigate these challenges, but variability in engagement and outcomes requires further investigation.

Purpose of the Study:

  • To explore variability in engagement and outcomes of the Cognitive-Functional Intervention for Adults (Cog-Fun-A) in a pilot study.
  • To identify factors influencing intervention effectiveness in adults with ADHD.

Main Methods:

  • Case study analysis of three adults with ADHD participating in a Cog-Fun-A pilot study.
  • Utilized pre-post assessments including executive function, occupational performance, quality of life, and self-regulation measures.
  • Analyzed therapist session logs using descriptive content analysis for within-case and cross-case profiles.

Main Results:

  • Two participants achieved clinically significant improvements in occupational performance, satisfaction, quality of life, and self-regulation.
  • One participant demonstrated minimal change, indicating variability in response to the intervention.
  • Identified potential influencing factors: motivation, attribution style, routine stability, and environmental supports.

Conclusions:

  • Cog-Fun-A shows potential for improving outcomes in adults with ADHD, but individual differences significantly affect results.
  • Motivation, attribution style, routine stability, and environmental supports appear crucial for successful engagement and strategy use in metacognitive, occupation-based interventions.
  • Further research is warranted to understand and optimize Cog-Fun-A for diverse adult ADHD populations.