Patient and Surgeon Views on Maximum Acceptable Waiting Times for Joint Replacement
Bibliographic record
Abstract
OBJECTIVE: To assess patient and surgeon views on maximum acceptable waiting times (MAWT) for hip and knee replacement, their determinants and their relationship to levels of urgency based on the Western Canada Waiting List Priority Criteria Score (PCS). METHODS: At the decision date for surgery, orthopaedic surgeons assessed consecutive patients with the PCS and MAWT. Patients were surveyed 3-12 months post-surgery for MAWT and potential determinants. RESULTS: The patient sample of 208 was 56% female, mean age 69 years (SD 11). Mean MAWT for patients was 18 weeks (SD 11) and for surgeons, 17 weeks (SD 11). Median MAWT for three levels of urgency (PCS) ranged from 13-17 weeks (patients) and 9-26 weeks (surgeons). Patient MAWT was unrelated to the surgeon-rated measures: MAWT (r=.05) and the PCS (r=-.10). Multiple regression analysis showed that males, knee vs. hip replacement, a longer waiting time and a perception of fairness in regard to waiting time were significant predictors of longer patient MAWT. Knee replacement, a better ability to walk without significant pain and less potential for progression of the disease were significant predictors of longer surgeon MAWT. CONCLUSIONS: Patient and surgeon perspectives on MAWT are important to the development of waiting time benchmarks. Benchmarks based on levels of urgency ensure a more transparent and fair process for waiting time management. Knowledge of determinants of MAWT should inform better management of waiting time and access, by understanding the basis of patient and physician views on acceptable waiting times.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".