Factors Influencing Physical Therapistsâ Use of Standardized Measures of Walking Capacity Post-stroke across the Care Continuum
Bibliographic record
Abstract
Abstract\nBackground. Physical therapists report inconsistent use of valid and reliable measures of walking post-stroke. \nObjective. To describe the methods physical therapists use to evaluate walking, reasons for selecting these methods, and the use of the evaluation results in clinical practice along the continuum of an organized system of stroke care. \nMethods. A qualitative descriptive study involving semi-structured telephone interviews of physical therapists in Ontario was conducted. A thematic analysis was performed.\nResults. Participants (n=28) used both standardized and non-standardized methods to assess walking. A hierarchy of factors influencing use of both methods was observed. Assessment results were commonly used for communication with other healthcare professionals or education of the patient. \nConclusions. A variety of factors influence physical therapists to use standardized assessment tools. Future knowledge translation interventions should focus on these factors to improve the standardized assessment of walking post-stroke.
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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 | 0.009 | 0.067 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".