Disaster preparedness of Canadian trauma centres: the perspective of medical directors of trauma
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
BACKGROUND: Owing to their constant readiness to treat injured patients, trauma centres are essential to regional responses to mass casualty incidents (MCIs). Reviews of recent MCIs suggest that trauma centre preparedness has frequently been limited. We set out to evaluate Canadian trauma centre preparedness and the extent of their integration into a regional response to MCIs. METHODS: We conducted a survey of Canadian level-1 trauma centres (n = 29) to characterize their existing disaster-response plans and to identify areas where preparedness could be improved. The survey was directed to the medical director of trauma at each centre. Descriptive statistics were used to analyze responses. RESULTS: Twenty-three (79%) trauma centres in 5 provinces responded. Whereas most (83%) reported the presence of a committee dedicated to disaster preparedness, only half of the medical directors of trauma were members of these committees. Almost half (43%) the institutions had not run any disaster drill in the previous 2 years. Only 70% of trauma centres used communications assets designed to function during MCIs. Additionally, more than half of the trauma directors (59%) did not know if their institutions had the ability to sustain operations for at least 72 hours during MCIs. CONCLUSION: The results of this study suggest important opportunities to better prepare Canadian trauma centers to respond to an MCI. The main areas identified for potential improvement include the need for the standardization of MCI planning and response at a regional level and the implementation of strategies such as stockpiling of resources and novel communication strategies to avoid functional collapse during an MCI.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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