Characteristics of Pediatric Frequent Users of Emergency Departments in Alberta and Ontario
Bibliographic record
Abstract
OBJECTIVES: Emergency department (ED) volumes have drawn attention to frequent users but less attention has been paid to children. This study examined sociodemographic and ED presentation characteristics of pediatric high-system ED users (HSUs) in 2 provinces in Canada. METHODS: Cohorts of HSUs were created from the National Ambulatory Care Reporting System in 2015/2016 for children with the top 10% of ED presentations. Controls were random samples of non-HSU patients. Factors were explored in multivariable logistic regression models. RESULTS: There were 151,497 HSUs (51.7% girls, average age, 6.4 years) and 591,545 controls (53.1% girls; average age, 7.4 years). High-system ED users were more likely to be younger (adjusted odds ratio [aOR], 0.89 per 5 years; 95% confidence interval [CI], 0.88-0.89), live in less populated areas (aOR, 1.85; 95% CI, 1.82-1.88), and from lowest income neighborhoods (aOR, 1.51; 95% CI, 1.48-1.54) than controls. High-system ED users had higher proportions of presentations for pediatric complex chronic (aOR, 1.25 per 0.25 increase; 95% CI, 1.21-1.29), respiratory (aOR, 1.14 per 0.25; 95% CI, 1.12-1.15), and mental health (aOR, 1.14 per 0.25; 95% CI, 1.13-1.16) conditions than controls. CONCLUSIONS: Complex factors underlie pediatric health care utilization decisions. Findings identified conditions to target in interventions to improve health care access and utilization. Future work should engage children and families to design interventions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".