Operating room use for emergency general surgery cases: analysis of the Patterns of Complex Emergency General Surgery in Canada study
Bibliographic record
Abstract
Background: Access to the operating room (OR) is variable among emergency general surgery (EGS) services, with some having dedicated EGS ORs, and others only a shared queue. Currently in Canada, only a limited number of acute care surgery services have dedicated daytime operating room (OR) access; hence, we aimed to describe the burden of after-hours EGS operating in Canada and differences associated with OR access. Methods: In this multicentre retrospective cohort study, we used data from a previously conducted study designed to evaluate nonappendiceal, nonbiliary disease across 8 Canadian hospitals. We performed a secondary analysis to describe booking priorities and timing of operative interventions, compare sites with and without access to a dedicated EGS daytime OR, and identify differences in morbidity and mortality based on timing of operative intervention. Results: Among 1244 patients, operations were performed during weekday daytime in 521 cases (41.9%), in the evening in 279 (22.4%), on the weekend in 293 (23.6%) and overnight in 151 (12.1%). Operating room booking priority was more than 2 hours to 8 hours in 657 cases (52.8%), more than 8 hours to 24 hours in 334 (26.9%) and more than 24 hours to 48 hours in 253 (20.3%). Substantial variation in booking priority was observed for the same preoperative diagnoses. Sites with dedicated EGS ORs performed a greater proportion of cases during daytime versus overnight compared to sites without dedicated EGS ORs (198/237 [83.5%] v. 323/435 [74.2%], p = 0.006). No significant differences in outcome were found between cases performed during the daytime, evening and overnight. Conclusion: We found considerable variation in OR booking priority within the same preoperative diagnoses among EGS patients in Canada. Sites with dedicated EGS ORs performed more cases during weekday daytime compared to sites without dedicated EGS ORs; however, this study showed no evidence of compromised outcomes based on OR timing.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".