Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to measure functional outcomes after outpatient occupational therapy for clients who had upper-extremity injury and surgery or both. METHODS: A sample of 33 clients referred to occupational therapy outpatient intervention was recruited from five clinics in Ohio. The Canadian Occupational Performance Measure (COPM) was used to guide the occupational therapy sessions and to measure outcomes. The Disability of Arm, Shoulder, and Hand (DASH) questionnaire and the Short Form 36 (SF-36) were also administered to the clients pre and post 6 to 8 weeks of hand rehabilitation services. Two to three months after discharge, the clients responded by the telephone to the Community Integration Questionnaire. RESULTS: The clients received a mean of 13 hours of outpatient occupational therapy services and received no other rehabilitation service. Functional performance gains following 6 to 8 weeks of services were significant (COPM; t(32) = -11.5, p < .001; t(32) = -11.31, p < .001; DASH; t(32) = 9.22, p < .001; t(32) = -9.02, p < .001). Effect sizes on the COPM and DASH ranged between 1.43 and 2.52. Progress in the clients' goals was moderately correlated to progress in functional measures. CONCLUSION: Clients with upper-extremity injury or surgery made strong, positive gains in functional measures following client-centered occupational therapy services. The COPM was the most sensitive to client change, followed by the DASH, and then the SF-36.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".