THE EFFECT OF A CANADIAN PAEDIATRIC ORTHOPAEDIC CME COURSE ON LOCAL OUTPATIENT REFERRALS
Bibliographic record
Abstract
Purpose Pediatric orthopaedic surgeons encounter referrals from primary care practitioners and pediatricians that are benign in nature or within accepted limitations for physiological musculoskeletal variance. These referrals are believed to be secondary to insufficient pediatric musculoskeletal expertise and consume already limited pediatric orthopaedic resources. To date, our annual CME course dedicated to pediatric musculoskeletal medicine is the only one of its kind in Canada. It includes didactic teaching as well as a clinic of unnecessary referrals in which participants examine patients and receive feedback from consultants. The purpose of this study was to evaluate the impact of a pediatric musculoskeletal CME course on the quality of local outpatient referrals over a four year period. Method Retrospective chart reviews were performed to evaluate outpatient referrals at a tertiary orthopaedic center over an eight month period prior to the commencement of an annual CME course (2006–2007) and three years following its initiation (2010). 1041 consecutive referrals from the first time period and 1124 consecutive referrals from the second time period were collected. Referrals for normal conditions within physiological tolerance were identified based on the final clinical diagnosis by the consultant orthopaedic surgeon and the scheduled follow up. Results 872 referrals from the first time period and 1006 referrals from the second time period were provided by primary care practitioners and pediatricians. Prior to the CME course, 27.7% of referrals were for physiological conditions. These referrals were most often associated with specific benign diagnoses: torsional variation (88%) and flexible flatfoot (45%). Three years following the induction of the CME course, referrals for physiological conditions from family physicians decreased by 20.1%. Conclusion Results from this study suggest that a pediatric musculoskeletal CME course designed for family physicians and pediatricans is an effective method for reducing unnecessary local pediatric orthopaedic referrals. We advocate that additional CME initiatives based on our annual course be implemented in communities across Canada in order to improve patient care and optimize the outpatient referral process.
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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 | 0.025 |
| 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".