Pelvic Health Content in Canadian Entry-To-Practice Physiotherapy Programs: An Online Survey
Bibliographic record
Abstract
Purpose: Pelvic health physiotherapy is an emerging and sensitive area of practice that offers effective conservative treatment for pelvic health conditions. Canadian entry-to-practice curriculum guidelines accord programs considerable flexibility regarding incorporating pelvic health content, which may lead to differences between programs and diverse levels of competence among new graduates. The purpose of this study was to determine the nature and extent to which pelvic health content is incorporated in entry-to-practice physiotherapy programs in Canada. Method: We conducted a descriptive cross-sectional e-survey of representatives from Canadian entry-to-practice physiotherapy programs. Results: = 6). All participating programs covered musculoskeletal-related conditions, urinary incontinence, and pelvic pain conditions, and included anatomy and physiology, clinical reasoning, subjective assessment and pelvic floor muscle training topics. Three programs trained students in internal pelvic floor techniques in elective courses. All programs covered cisgender women populations, however, transgender populations were seldom covered. Conclusions: This study provides an understanding of pelvic health curricular content that can serve as a first step towards standardizing and improving entry-level pelvic health training in Canada.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".