Expanding roles in orthopaedic care: a comparison of physiotherapist and orthopaedic surgeon recommendations for triage
Bibliographic record
Abstract
RATIONALE, AIMS AND OBJECTIVES: Innovative service delivery models are emerging using physiotherapists in the assessment and management of patients referred for orthopaedic consultation. The primary objective of this study was to compare the clinical recommendations of specially trained physiotherapists with those of an orthopaedic surgeon on: (1) appropriateness to be seen by an orthopaedic surgeon; and (2) candidacy and willingness to undergo total joint replacement (TJR) for patients with hip or knee problems. A secondary objective was to examine their recommendations for non-surgical management and agreement on clinical diagnosis. METHODS: Physiotherapists and orthopaedic surgeons independently assessed patients with hip and knee problems referred for consideration for TJR and completed a standardized form on treatment recommendations. Agreement between providers was determined using the kappa coefficient and per cent agreement. RESULTS: Two physiotherapists and three orthopaedic surgeons participated in the study that included 45 and 17 patients with knee and hip problems respectively. In 91.8% (56/61) of cases, physiotherapists and orthopaedic surgeons agreed on the recommendation of appropriateness for the patient to see a surgeon (kappa 0.69). In discordant cases, the physiotherapists tended to refer for consultation. There was 85.5% (53/62) agreement on whether a patient was a candidate and willing to have TJR (kappa 0.70). The physiotherapists commonly recommended exercise and education for non-surgical patients. Orthopaedic surgeons most commonly referred patients to rehabilitation services. CONCLUSIONS: Patients with hip or knee pain referred to orthopaedic surgeons can be appropriately referred for orthopaedic consultation by physiotherapists working in extended roles. Further research is required to evaluate the value-added and the most appropriate use of extended role physiotherapists.
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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 | 0.025 | 0.095 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".