Physical therapists’ perceptions and use of standardized assessments of walking ability post-stroke
Bibliographic record
Abstract
OBJECTIVES: To determine physical therapists' perceptions and use of standardized assessments of walking ability post-stroke. DESIGN: Cross-sectional survey. METHODS: A questionnaire was posted to physical therapists in neurological practice registered in Ontario, Canada (n = 1155). Of the 705 responders, 270 treated adults with stroke and completed the questionnaire. RESULTS: Assessment tools most frequently used with > 6/10 patients were the Chedoke-McMaster Stroke Assessment (61.1%), Functional Independence Measure (45.2%), and gait speed test (32.2%). Only 11.1% consistently used the 6-minute walk test. The tools were used to evaluate (44.6%), monitor change over time (42.9%), form a prognosis (19.4%) or judge readiness for discharge (28.4%). Some therapists (40.1%) were unaware or unsure that valid and reliable measures of walking exist. As many as 80.5% of respondents agreed or strongly agreed that clinical practice guidelines should recommend specific measures of walking ability for use post-stroke. CONCLUSION: A moderate number of physical therapists consistently use standardized assessment tools to evaluate or monitor change in walking limitation post-stroke. Interventions to improve use must increase awareness, in addition to the perceived relevance and applicability, of recommended assessment tools.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".