Use of inhaled corticosteroids following discharge from an emergency department for an acute exacerbation of asthma
Bibliographic record
Abstract
BACKGROUND: Most patients who have an asthma exacerbation leading to a visit to an emergency department (ED) will benefit from treatment with inhaled corticosteroids (ICS) at discharge. We investigated whether asthmatic children and adolescents were receiving ICS after discharge from the ED and identified the characteristics of patients and physicians associated with their use. METHODS: A cohort of 4042 asthmatic patients aged 5-17 years was selected from the administrative database of the Regie de l'assurance maladie du Quebec between 1997 and 1999. The proportion of patients using ICS 1, 3, and 6 months after ED discharge was estimated. Using GEE models the independent contribution of sociodemographic variables, markers of asthma severity, prior use of healthcare services and ICS, and physician characteristics was investigated on the likelihood of using ICS after ED discharge. RESULTS: 68% of children and 51% of adolescents had a valid prescription for ICS in the month following discharge. At 6 months after discharge the corresponding figures were 77% and 60%. The strongest predictors of ICS use were age, with adolescents being less likely to use ICS than children (OR 0.49; 95% CI 0.43 to 0.56), prior use of ICS (OR 2.28; 95% CI 2.00 to 2.61), and filling a prescription for oral corticosteroids in the month following discharge (OR 2.29; 95% CI 2.03 to 2.58). However, patients who had an ED visit or a hospital admission for asthma during the 6 months before discharge were not more likely to use ICS after discharge. CONCLUSION: A large proportion of patients with clear markers of uncontrolled or severe asthma did not have a valid prescription for an ICS after discharge from the ED.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".