The effect of a celebrity death on children's injury-related emergency department visits
Bibliographic record
Abstract
Background Following a skiing-related head injury death of the actor Natasha Richardson, we noted a marked increase in injury-related visits to the Emergency Department (ED) of the Montreal Children's Hospital (MCH). We assumed these visits were driven by media coverage, which would be greater in Quebec than elsewhere in Canada. Methods Using data from the Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP), we compared visits to the MCH-ED for 10 weeks beginning in March. We also compared visits for the event week with the averages for the same week in the preceding 16 years. We noted the percent of MCH-ED visits that were for head injuries. Finally, we examined the same 10-week patterns for children's hospitals in Toronto, Calgary and Vancouver. Results We found a 60% increase at the MCH for the event week compared with the first week of March and 66% increase compared to the 16-year average. We noted that for the event week 43.7% of injury visits were for head injuries compared with 28.8% (16-years average). There was, however, no change in ratio of severe head injuries. The increase in Toronto, Calgary and Vancouver was 24%, 23% and 22% respectively over the first week of March. Interpretation These data suggest that the media coverage of this celebrity death which involved a failure to seek medical attention, generated anxiety among parents, prompting them to bring children to the ED who might not otherwise have sought medical care.
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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 | 0.000 | 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 | 0.000 |
| 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 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".