Physiotherapy beyond Our Borders: Investigating Ideal Competencies for Canadian Physiotherapists Working in Resource-Poor Countries
Bibliographic record
Abstract
PURPOSE: To explore the perspectives of Canadian physiotherapists with global health experience on the ideal competencies for Canadian physiotherapists working in resource-poor countries. METHOD: A qualitative interpretive methodology was used, and the Essential Competency Profile for Physiotherapists in Canada, 2009 (ECP), was employed as a starting point for investigation and analysis. Semi-structured one-on-one interviews (60-90 minutes) were conducted with 17 Canadian physiotherapists who have worked in resource-poor countries. Descriptive and thematic analyses were conducted collaboratively. RESULTS: The seven ECP roles-Expert, Communicator, Collaborator, Manager, Advocate, Scholarly Practitioner, and Professional-were all viewed as important for Canadian physiotherapists working in resource-poor countries. Two roles, Communicator and Manager, have additional competencies that participants felt were important. Three novel roles-Global Health Learner, Critical Thinker, and Respectful Guest-were created to describe other competencies related to global health deemed crucial by participants. CONCLUSIONS: This is the first study to examine competencies required by Canadian physiotherapists working in resource-poor countries. In addition to the ECP roles, supplementary competencies are recommended for engagement in resource-poor countries. These findings align with ideas in current global health and international development literature. Future research should examine the relevance of these findings to resource-poor settings within Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".