Measuring Clinical Effectiveness in Mental Health: is the Canadian Occupational Performance an appropriate Measure?
Bibliographic record
Abstract
Assessing the impact of occupational therapy with mental health clients within community settings has received relatively little attention in the research literature. Where such studies have been undertaken, there has been inconsistency in the types of instrument used and considerable variation in the sample sizes. In this study, the Canadian Occupational Performance Measure (COPM) was used to detect what changes, if any, had occurred on the completion of an occupational therapy programme. This instrument seeks to assist clients in the identification of the problems with occupational performance that cause them most concern. Sixty clients, who were in receipt of occupational therapy, participated in a 4-year study. Data were collected using the COPM at the commencement of their interventions and again on completion of the programme. The findings suggest that this was an appropriate instrument for detecting significant changes in this client group on completion of their occupational therapy. The implications of these findings are discussed, with a view to improving the efficacy of interventions by occupational therapists in mental health care in the future.
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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 | 0.018 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".