Practice Patterns in Asthma Discharge Pharmacotherapy in Pediatric Emergency Departments: A Pediatric Emergency Research Canada Study
Bibliographic record
Abstract
OBJECTIVES: The objective was to examine utilization of β2 agonists via metered dose inhalers with oral and inhaled corticosteroids (ICS) at discharge in children with acute asthma. METHODS: This was a retrospective medical record review at six pediatric emergency departments (EDs) of otherwise healthy children 2 to 17 years of age discharged with acute asthma. Data were extracted on history, disease severity, and pharmacotherapy used in the ED and at discharge. The primary outcome was the proportion of children prescribed "comprehensive therapy," i.e., albuterol via metered dose inhaler (MDI) with oral and ICS. RESULTS: The overall rate of comprehensive therapy was 382 of 654 (58%), which varied from 30% to 84% (p < 0.0001). A total of 570 of 575 children discharged on albuterol received MDIs. Although the rates of prescriptions for oral and ICS were both 80%, only 58% of patients without ICS on arrival were offered ICS at discharge. There was significant variation in the rates of all discharge pharmacotherapies across centers. The independent predictors of comprehensive therapy were daytime presentation (odds ratio [OR] = 1.67, 95% confidence interval [CI] = 1.05 to 2.67) and "intensive stabilization" (OR = 2.33, 95% CI = 1.29 to 2.67). Seventeen patients (2.6%) were prescribed antibiotics. Children were more likely to receive antibiotics if they had moderate to severe exacerbations (OR = 2.8) or received a chest radiograph (OR = 8.4). CONCLUSIONS: The overwhelming majority of children discharged from Canadian pediatric EDs with acute asthma are prescribed inhaled albuterol via MDIs. Although the corticosteroid use at discharge is higher than previously reported, utilization of new prescriptions for ICS may not be optimal. Children presenting during daytime to EDs receiving intensive stabilization are more likely to receive the albuterol/oral steroid/ICS combination.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".