Cost-effectiveness of Epinephrine and Dexamethasone in Children With Bronchiolitis
Bibliographic record
Abstract
OBJECTIVE: Using data from the Canadian Bronchiolitis Epinephrine Steroid Trial we assessed the cost-effectiveness of treatments with epinephrine and dexamethasone for infants between 6 weeks and 12 months of age with bronchiolitis. METHODS: An economic evaluation was conducted from both the societal and health care system perspectives including all costs during 22 days after enrollment. The effectiveness of therapy was measured by the duration of symptoms of feeding problems, sleeping problems, coughing, and noisy breathing. Comparators were nebulized epinephrine plus oral dexamethasone, nebulized epinephrine alone, oral dexamethasone alone, and no active treatment. Uncertainty around estimates was assessed through nonparametric bootstrapping. RESULTS: The combination of nebulized epinephrine plus oral dexamethasone was dominant over the other 3 comparators in that it was both the most effective and least costly. Average societal costs were $1115 (95% credible interval [CI]: 919-1325) for the combination therapy, $1210 (95% CI: 1004-1441) for no active treatment, $1322 (95% CI: 1093-1571) for epinephrine alone, and $1360 (95% CI: 1124-1624) for dexamethasone alone. The average time to curtailment of all symptoms was 12.1 days (95% CI: 11-13) for the combination therapy, 12.7 days (95% CI: 12-13) for no active treatment, 13.0 days (95% CI: 12-14) for epinephrine alone, and 12.6 days (95% CI: 12-13) for dexamethasone alone. CONCLUSION: Treating infants with bronchiolitis with a combination of nebulized epinephrine plus oral dexamethasone is the most cost-effective treatment option, because it is the most effective in controlling symptoms and is associated with the least costs.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".