The Challenges of Implementing and Documenting Ottawa Ankle Rules in the Pediatric Emergency Department: A Retrospective Study
Bibliographic record
Abstract
INTRODUCTION Acute ankle sprains account for nearly 2% of visits to the pediatric emergency department (PED). The Ottawa Ankle Rules (OAR) were developed as a safe and effective clinical decision-making tool for detecting the need for radiographs in adults with acute ankle pain. OAR state radiographs are required with at least one of the following: 1. Inability to bear weight immediately following the injury and for four steps in the ED 2. Bony tenderness at the posterior edge of the lateral or medial malleolus OBJECTIVE Few prospective cohort studies have attempted to assess OAR pediatric populations. This study investigates the validity and documentation of OAR within a single academic institution’s PED. METHODS This retrospective chart review included previously healthy patients aged 2-19 years who presented to the PED with a traumatic ankle injury between 2019 and 2021. Exclusion criteria were met with documented parental insistence for imaging studies. We compared calculated OAR predictive values to those in literature using Chi-squared tests and WINPEPI. RESULTS A total of 295 subjects were included. When only considering clinically significant fractures in the data analysis, 247 patients received X-rays and 42 clinically significant fractures were found. OAR were 100% sensitive (95% confidence interval 93.1–100.0), 12.2% specific (95% CI 8.2–17.2), with a positive predictive value (PPV) of 18.9% (95% CI 16.6–26.5), and negative predictive value (NPV) of 100% (95% CI 88.7–100.0). When comparing this study’s findings to those with similar design protocol, specificity was lower (p<0.05) and there was no significant difference in sensitivity, PPV, or NPV. CONCLUSION Implementing the highly sensitive OAR yielded zero missed fractures. Their poor specificity results in unnecessary radiation exposure, which also increases expense and wait time. Excess imaging may be attributed to ambiguous OAR criteria, their dependence on pediatric cooperation, and parental expectations for imaging studies.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".