Descriptive Analysis of Fall-Related Injuries Among Older Adults in Ontario
Bibliographic record
Abstract
Falls are the leading cause of injury-related hospitalizations among older adults in Canada. The purpose of this study was to describe the characteristics of older adults who experienced fall-related injuries (FRIs) and the types of falls that caused them. We analyzed Ontario-wide secondary data from three databases (NACRS, DAD, RPDB) covering 2010-2014. Older adults (≥ 65 years) who visited emergency departments (ED) with FRIs were selected using ICD-10-CA codes for a fall and injury. Counts, measures of central tendency, and prevalence rates (crude, age- and sex-specific, age-standardized) were calculated. There were 304,610 (63.0% females) ED admissions (3,089 per 100,000 population) and 143,210 (61.2% females) hospitalizations (1,452 per 100,000 population). Rates for most injuries increased with age and were higher for females. Fractures and superficial injuries were the most common. Slips, trips, and stumbles were the most common fall types. Findings suggest that injury prevention should be targeted at females and the oldest old.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".