‘There are too many of us to fix.’ Patients’ views of acceptable waiting times for hip and knee replacement
Bibliographic record
Abstract
OBJECTIVES: To assess patients' views of maximum acceptable waiting times (MAWT) for hip and knee replacement, associated factors and the accuracy of self-reported waiting times. METHODS: We mailed 1000 questionnaires each to two random samples of patients either waiting for or who had received an arthroplasty within the preceding 3-12 months. We used linear regression to assess the determinants of patient MAWT, and content analysis to assess reasons for MAWT and ideal waiting time. RESULTS: Of the 1330 responses, 1127 had MAWT data. The sample was 57% women; mean age was 70 +/- 11 years. Median self-reported and actual waiting time was eight months (Spearman correlation = 0.70). Median MAWT was four months and ideal waiting time was two months. The most frequent reasons for MAWT were pain, quality of life and needing time to prepare for surgery. A longer MAWT was associated with younger age, group (waiting), a longer self-reported waiting time, better EQ-5D index, an acceptable waiting time, a perception of fairness and a view that others worse off on the list should go ahead. CONCLUSIONS: Patients' views of acceptable waiting times are important for a fair process of establishing waiting time benchmarks for joint replacement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".