Identifying and managing RED-S: What is the physiotherapist experience? A cross-sectional survey of Canadian physiotherapists
Bibliographic record
Abstract
Relative Energy Deficiency in Sport (RED-S) is a complex condition characterized by chronic low energy availability (LEA) affecting an athlete’s health and performance. A cross-sectional, mixed-methods survey was used to investigate Canadian Physiotherapists' (PTs) experience with RED-S. Sixty-nine PTs completed the survey which assessed participants’ knowledge of RED-S, their confidence in diagnosing and managing RED-S, their exposure to RED-S in clinical practice, and their education-related experience with RED-S. Participants scored an average of 25.1 (± 4.1), (71.7%) on the knowledge section of the survey, and an average of 32.7 (± 19.4), (51.1%) on the confidence-related section. There were no significant differences between the knowledge and confidence scores based on specialty (Sports, Women’s Health, Sports and Women’s Health, Orthopedics, Other). This survey demonstrated gaps in PTs knowledge of RED-S and their confidence in treating the condition. Canadian PTs expressed a need for concise educational resources to be made available regarding RED-S.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".