Canadian Economic Evaluation of Budesonide‐Formoterol as Maintenance and Reliever Treatment in Patients with Moderate to Severe Asthma
Bibliographic record
Abstract
OBJECTIVES: To compare the cost-effectiveness of budesonide-formoterol in a single inhaler used as both maintenance and reliever medication versus clinician-directed titration of salmeterol-fluticasone as maintenance medication, plus salbutamol taken as needed, in controlling asthma in adults and adolescents. METHODS: A Canadian economic evaluation was conducted based on the results of a large (n=2143), open-label, randomized, controlled effectiveness trial in which health resource use was prospectively collected. The primary outcome measurement was the time to the first severe exacerbation. Costs included direct medical costs (physician and emergency room visits, hospitalizations, asthma drug costs, etc) and productivity (absenteeism). The time horizon was one year, which corresponded to the duration of the clinical trial. Prices were obtained from 2005 Canadian sources. Both health care and societal perspectives were considered, and deterministic univariate sensitivity analyses were conducted. RESULTS: In the clinical trial, budesonide-formoterol as maintenance and reliever treatment was superior to salmeterol-fluticasone with respect to the time to the first severe exacerbation, overall rate of exacerbations and use of as-needed reliever medication. The annualized rate of severe exacerbations was 0.24 events/patient in the budesonide-formoterol arm and 0.31 events/patient in the salmeterol-fluticasone arm (P=0.0025). From a health care perspective, the mean cost per patient-year was $1,315 in the budesonide-formoterol arm versus $1,541 in the salmeterol-fluticasone arm. From a societal perspective, the mean cost per patient-year was $1,538 in the budesonide-formoterol arm and $1,854 in the salmeterol-fluticasone arm. Budesonide-formoterol was dominant (more effective and less expensive) in the base case analysis from both perspectives. The results were robust under sensitivity testing. CONCLUSIONS: The strategy that allows budesonide-formoterol to be used in a single inhaler as both maintenance and reliever medication proved to be more effective and less expensive than a strategy of clinician-directed titration of salmeterol-fluticasone with salbutamol as reliever therapy.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".