Physiotherapists’ Perspectives on the Threats Posed to Their Profession in the Areas of Training, Education, and Knowledge Exchange: A Pan-Canadian Perspective from the Physio Moves Canada Project, Part 1
Bibliographic record
Abstract
Purpose: Physiotherapists in Canada have been integrated into several domains of care provision, from primary prevention and health promotion through emergency, acute, rehabilitation, and community-based care. As the scope of physiotherapy practice has expanded over the past 100 years, training, education, and knowledge mobilization have been forced to keep up with sometimes rapid shifts in population and system values. While enjoying some degree of respect and recognition within the sphere of Canadian health care provision, physiotherapists may be facing several threats to their professional scope and sustainability. Method: In the latter half of 2017, the Physio Moves Canada project was set up to explore, capture, and synthesize Canadian physiotherapists’ perspectives on the future of their profession. A total of 116 physiotherapists participated in a series of focus groups and one-on-one interviews, with representation from every province and from Yukon Territory. The semi-qualitative data were transcribed and thematically analyzed, then member checked to identify emergent themes and sub-themes. Results: This article, the first in a series, describes the findings on the first theme of the study – the threats faced by the profession – broken down into physiotherapist education and training (with four sub-themes) and research and knowledge exchange (with three sub-themes). The participants identified clinicians’ inadequate training for the anticipated realities of future practice and a wide clinician–researcher gap that needs to be closed to ensure the future credibility and sustainability of the profession. Conclusions: The clinicians engaged in this project identified several potential threats expected to arise regarding training and knowledge exchange. None seem insurmountable, although all could be sound targets for professional discourse and strategizing.
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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 | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.056 | 0.026 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| 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".