Where to start? Injury prevention priority scores for traumatic injuries in Canada
Bibliographic record
Abstract
<h3>Background:</h3> Given limited resources for injury prevention, it is essential to determine which mechanisms of injury to target to provide the most benefit to the largest proportion of the population. We developed objective, evidence-based injury prevention priority scores (IPPSs) for the Canadian population across 4 prevention perspectives: mortality, injury severity, resource use and societal cost. <h3>Methods:</h3> We performed a retrospective cohort study of all injuries in Canada from 2009/10 to 2013/14. Hospital admissions were obtained from the Discharge Abstract Database, and deaths from the Statistics Canada Canadian Vital Statistics Death Database. For each mechanism of injury, we calculated an IPPS as a balanced measure of injury frequency and 1) mortality rate, 2) median 1 – ICISS (Injury Severity Score derived from the <i>International Statistical Classification of Diseases and Related Health Problems, 10th revision</i>, enhanced Canadian version), 3) median cost per hospital stay or 4) median potential years of life lost (PYLL), providing a ranking of mechanisms of injury in priority order. The IPPS by definition has a mean of 50 and a standard deviation of 10. The higher the IPPS, the higher the priority for injury prevention. <h3>Results:</h3> A total of 694 535 injuries were identified over the study period. The most frequent mechanism of injury was falls (391 068 [56.3%]). The overall mortality rate was 0.09 deaths/injured person, the median 1 – ICISS was 0.017, the median cost was $5217, and the median PYLL was 0. The mechanisms with the 3 highest IPPSs were falls (75), self-harm (67) and drowning (66) for mortality; falls (77), drowning (70) and suffocation (61) for severity; falls (80), suffocation (63) and fire (60) for resource use; and falls (72), assault (62), and firearms and legal interventions (59 in both cases) for societal cost. <h3>Conclusion:</h3> This study produced IPPSs for traumatic injuries in Canada that provide objective and quantifiable methods for identifying mechanisms of injury to target for specific prevention initiatives. Preventing falls would provide the most benefit to the largest proportion of Canadians and should be prioritized in injury-prevention policy.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".