Pediatric Falls: Are Monkey Bars Bad News?
Bibliographic record
Abstract
Background Falls are a leading cause of childhood trauma and are the most common mechanism of injury seen in the emergency department (ED). Playground injuries represent a significant fraction of these falls. Objectives This study aims to compare the frequencies of fractures from monkey bars to other types of falls and to explore the statistical associations between the types of injuries. Methods We conducted a cross-sectional study through a retrospective chart review of all British Columbia Children's Hospital ED visits between March 2011 and February 2012. We manually extracted data from ED visits for falls in children two to 17 years of age and used descriptive statistics to report the frequencies of injuries and outcomes. We conducted multivariate logistic regression analyses to compare the odds of fractures associated with various types of falls. Results We reviewed 43,579 ED visits, of which 3,184 (7.3%) were falls. The most common types were from a standing height (42.5%), falls at home (16.2%), and at the playground (14.3%). Peaking in school-age children, these falls resulted in a diagnosis of fracture (37.3%), soft tissue contusion (20.1%), laceration/abrasion (19.4%), and minor head injury (15.8%). We identified 151 falls from monkey bars, among which 64.2% resulted in a fracture. The odds of a fracture following a fall from monkey bars was 3.1 times that of falls from all other causes. Conclusions ED physicians should have a higher suspicion for a diagnosis of fracture if a child reportedly fell from monkey bars. It is warranted to educate parents and educators on the risks associated with the play on these climbing structures.
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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) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".