A national survey of occupational therapists' practices related to participation post-stroke
Bibliographic record
Abstract
OBJECTIVES: First, to identify occupational therapists' stroke rehabilitation practices related to leisure and social aspects of participation and potential explanatory variables associated with these practices. Secondly, to identify occupational therapists' desired assessment and treatment practices related to participation. DESIGN: A Canada-wide telephone survey. SUBJECTS: A random sample of 480 occupational therapists providing stroke rehabilitation. METHODS: Two case studies were created: one representing a patient receiving inpatient stroke rehabilitation; the other receiving community-based rehabilitation. A standardized questionnaire was used to elicit information on: (i) clinician and environmental variables; (ii) management of the patient depicted; (iii) desired assessment and intervention use. RESULTS: 60.2% identified a problem relating to leisure or social aspects of participation, 23.1% would use an assessment and 36.5% would offer an intervention focusing on leisure or social participation. Desired assessment use was low (1%), as was desired intervention use (15.2%). Regression analyses using numerous potential explanatory variables explained little regarding clinician practices. CONCLUSION: Less than half of the occupational therapists focused interventions on leisure and social aspects of participation, suggesting a gap between what could be done to enhance successful community reintegration post-stroke and what is currently done.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".