Prioritization of patients on waiting lists for hip and knee replacement: Validation of a priority criteria tool
Bibliographic record
Abstract
OBJECTIVES: This study tested the reliability and validity of the Western Canada Waiting List Project priority criteria score (PCS) for prioritizing patients waiting for hip and knee arthroplasty. METHODS: Sixteen orthopedic surgeons assessed 233 consecutive patients at consultation for hip or knee arthroplasty. Measures included the PCS, a visual analogue scale of urgency (VAS urgency), and maximum acceptable waiting time (MAWT). Patients completed a VAS urgency, an MAWT, the Western Ontario McMaster Osteoarthritis Index (WOMAC), and the EQ-5D. Using correlational analysis, convergent and discriminant validity was assessed between similar constructs in the priority criteria and WOMAC. Median MAWTs were determined for five levels of urgency based on PCS percentiles. Internal consistency reliability was assessed with Cronbach's alpha. RESULTS: The sample of 233 patients (62 percent female) ranged in age from 18 to 89 years (mean, 66.3 years). A total of 45 percent were booked for hip and 55 percent for knee arthroplasty. Correlations were strong between the PCS and surgeon VAS urgency (r = .79) and weaker between patient and surgeon measures of VAS urgency (r = .24) and MAWT (r = .44). Correlation coefficients between similar constructs in the priority criteria and WOMAC ranged from 0.24 to 0.32 and were higher than those measuring dissimilar constructs. For decreasing levels of urgency, the median MAWT ranged from 10 to 12 weeks for surgeons and 4 to 12 weeks for patients. Cronbach's alpha was 0.79. CONCLUSIONS: Results support the validity of the PCS as a measure of surgeon-rated urgency. Patients might be ranked differently with different prioritization measures.
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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 | 0.007 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".