Surgical wait list management in Canada during a pandemic: many challenges ahead
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary: The coronavirus disease 2019 (COVID-19) pandemic has had a massive impact on waits for elective operations, with tens of thousands of scheduled surgeries being cancelled or postponed across Canada. Provincial governments will likely not only reopen elective surgical capacity when it is deemed safe, but also target new funding to address the backlog of cases. There is a dearth of research on whether the provinces' approaches to managing wait lists are equitable from a patients' needs perspective or if they are associated with patients' perception of outcomes. The surgical cost models used in the past won't be useful to governments and hospital managers. New models based on hospitals' marginal costs, associated with running on weekends or off-hours and social distancing parameters, will be needed. Surgeon input, collaboration and leadership during the strategy development, implementation and management of surgical wait lists postpandemic will be imperative, as these decisions will significantly affect the health and lives of many Canadians.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 it