Physiotherapists use dance in their clinical practice in creative and diverse ways
Bibliographic record
Abstract
Purpose To investigate how physiotherapists use dance in clinical practice.Methods This was a cross-sectional study of Canadian physiotherapists with a web-based questionnaire distributed via social media and professional and healthcare organizations. Responses were analyzed with descriptive statistics and descriptive content analysis.Results Of the 81 respondents included in the analysis, 36 (44%) had used dance in practice, while 45 (56%) had not. Respondents were more likely to have used dance in practice if they had formal dance experience (X2 (1, n = 81) = 3.73, p = .044). The rationale for implementing dance included improving physical, psychosocial, and cognitive outcomes. Common barriers were clinician inexperience and insufficient resources, while a common concern about using dance was that they may not be taken seriously.Conclusion Canadian physiotherapists used dance clinically in more diverse ways than reported in the scientific literature. Future work should evaluate these specific dance interventions and inform the development of clinical practice guidelines.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".