Influence of COVID-19 Protocols on the Efficiency of Trauma Theater: Retrospective Observational Study
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has influenced health care delivery significantly. Numerous studies have highlighted that trauma theater efficiency has decreased during the COVID-19 pandemic; however, there is limited information as to exactly which stage of the patient theater journey is causing this decreased efficiency and whether efficiency can be improved. In the trauma theater of Warrington Hospital, United Kingdom, we have attempted to maintain trauma theater efficiency despite the requirement for increased infection control. OBJECTIVE: The aim of this study was to evaluate the effects of additional COVID-19 infection control protocols on trauma theater efficiency in our center, considering the length of time taken for specific theater events, and to find out whether our interventions were successful in maintaining theater efficiency. METHODS: We compared the efficiency of the trauma theater in a busy unit in December 2019 (pre-COVID-19) and December 2020 (with COVID-19 protocols in place). We collected time logs for different theater events for each patient in December of both years and compared the data. RESULTS: There was no significant difference in the average number of cases performed per session between the COVID-19 and pre-COVID-19 time periods (P=.17). Theater start time was significantly earlier during the COVID-19 period (P<.001). There was no significant difference between the two periods in transport time, check-in time, preprocedure time, anesthetic time, and the time between cases (P>.05). A significant difference was observed in the check-out time between the two groups in the two time periods, with checking out taking longer during the COVID-19 period (P<.001). CONCLUSIONS: Our results show that our theater start times were earlier during the COVID-19 pandemic, and the overall theater efficiency was maintained despite the additional COVID-19 infection control protocols that were in place. These findings suggest that well-planned infection control protocols do not need to impede trauma theater efficiency in certain settings.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".