A cognitive behavioral approach to improving performance and satisfaction in meaningful occupations in the outpatient mental health setting
Bibliographic record
Abstract
Mental health conditions pose a significant risk to an individual’s ability to effectively participate in daily occupations such as sleep, caregiving, self-care, leisure, exercise, productivity, socialization, and play. This doctoral project used a retrospective study to demonstrate an effective intervention based on a Cognitive Behavioral of Reference (CB-FoR) to improve performance and satisfaction in meaningful occupations in patients living with a mental health condition in the outpatient occupational therapy clinic setting. Forty-eight medical records of patients aged eight to 78 years old presenting with mental illnesses affecting daily functioning were included in the study. The Canadian Occupational Performance Measure (COPM) was utilized at initial evaluation and reevaluation to measure clinically significant change over time. Treatment data presented in this paper strongly suggests that integrating a cognitive behavioral-based intervention in the outpatient occupational therapy clinic setting leads to positive and clinically significant outcomes, regardless of age, socioeconomic status, or gender.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".