Pilot Study of the Cognitive–Functional Intervention for Adults (Cog-Fun A): A Metacognitive–Functional Tool for Adults With Attention Deficit Hyperactivity Disorder
Bibliographic record
Abstract
IMPORTANCE: Adults with attention deficit hyperactivity disorder (ADHD) often experience chronic challenges in their life roles. There is a need for evidence-based occupational therapy interventions to help enhance their functioning. OBJECTIVE: To determine the preliminary effectiveness of the Cognitive-Functional Intervention for Adults (Cog-Fun A), a metacognitive-functional occupational therapy tool for the improvement of occupational performance (OP) and quality of life (QoL) in adults with ADHD. DESIGN: One-group pretest-posttest design with a 3-mo follow-up. SETTING: Community setting in Jerusalem, Israel. PARTICIPANTS: Fourteen adults, ages 18-60 yr, with a valid diagnosis of ADHD and an indication of executive function (EF) impairment. INTERVENTION: Participants received 15 1-hr weekly sessions that addressed self-awareness of strengths and challenges through education and guided discovery as well as strategy acquisition and implementation within a context of occupational goal attainment. OUTCOMES AND MEASURES: The Behavioral Rating Inventory of Executive Function-Adult version, an adult ADHD QoL measure, the Canadian Occupational Performance Measure, and the Self-Regulation Skills Interview were administered. RESULTS: Twelve participants completed the intervention. Posttreatment scores revealed statistically significant improvements in EF, awareness, OP, and QoL. Gains in QoL showed a modest reduction at the 3-mo follow-up. CONCLUSIONS AND RELEVANCE: The Cog-Fun A is a promising intervention for improving OP and QoL among adults with ADHD and should be investigated further. What This Article Adds: The Cog-Fun A offers an effective nonpharmacological, metacognitive-functional, occupation-centered treatment option for adults with ADHD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".