Trends in Hospitalization Associated With Traumatic Brain Injury in a Publicly Insured Population, 1992–2002
Bibliographic record
Abstract
BACKGROUND: Traumatic brain injury (TBI) is a leading cause of death and disability in developed countries. We document trends in TBI-related hospitalizations in Ontario, Canada, between April 1992 and March 2002, focusing on relationships between inpatient hospitalization rates, age, sex, cause of injury, severity level, and in-hospital mortality. METHODS: Information on all acute hospital separations in Ontario with a diagnosis of TBI was analyzed using logistic regression. RESULTS: Hospitalization rates fell steeply among children and young adults but remained stable among adults aged 66 and older. The proportion of TBI hospitalizations with mild injuries decreased from 75% to 54%, whereas the proportion with moderate injuries increased from 19% to 37%. Adjusting for other risk factors, in-hospital deaths were higher for injuries because of motor vehicle crashes than those because of falls. In-hospital death rates were stable for patients with moderate or severe injuries, but increased over time among those whose injuries were classified as mild, suggesting a trend toward more serious injury within the "mild" classification. CONCLUSIONS: Hospitalizations for TBI involve fewer mild injuries over time and are highest in the oldest segment of the population.
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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 | 0.001 | 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 | 0.001 |
| 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".