Occupational Therapists’ Identification, Assessment, and Treatment of Unilateral Spatial Neglect During Stroke Rehabilitation in Canada
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Unilateral spatial neglect (USN) is a disabling feature of stroke, and its identification and management are critical for optimizing patient outcomes. This study examined USN problem identification, assessment, and treatment among clinicians working in stroke rehabilitation. METHODS: This report was based on a Canada-wide survey of 253 occupational therapists providing inpatient stroke rehabilitation. RESULTS: Eighty percent (n=202) recognized USN as a potential problem, 27% (n=67) reported using standardized USN assessment tools, and 58% (n=147) indicated using USN interventions. Working on a stroke unit and younger age were among the variables explaining 7% to 19% of the variability in USN problem identification, assessment, and intervention use. CONCLUSIONS: Although USN problem identification was high, clinicians were unlikely to use standardized assessment tools or evidence-based interventions to effectively manage this serious impairment.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".