Hospitalizations and Emergency Department Visits for TBI in Ontario
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine the number of annual hospitalizations and overall episodes of care that involve a traumatic brain injury (TBI) by age and gender in the province of Ontario. To provide a more accurate assessment of the prevalence of TBI, episodes of care included visits to the emergency department (ED), as well as admissions to hospital. Mechanisms of injury for overall episodes were also investigated. METHODS: Traumatic brain injury cases from fiscal years 2002/03-2006/07 were identified by means of ICD-10 codes. Data were collected from the National Ambulatory Care Reporting System and the Discharge Abstract Database. RESULTS: The rate of hospitalization was highest for elderly persons over 75 years-of-age. Males generally had higher rates for both hospitalizations and episodes of care than did females. The inclusion of ED visits to hospitalizations had the greatest impact on the rates of TBI in the youngest age groups. Episodes of care for TBI were greatest in youth under the age of 14 and elderly over the age of 85. Falls (41.6%) and being struck by or against an object (31.1%) were the most frequent causes for a TBI. CONCLUSIONS: The study provides estimates for TBI from the only Canadian province that has systematically captured ED visits in a national registry. It shows the importance of tracking ED visits, in addition to hospitalizations, to capture the burden of TBI on the health care system. Prevention strategies should include information on ED visits, particularly for those at younger ages.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".