Cost-Effectiveness of Once-Daily Single-Inhaler COPD Triple Therapy in Spain: IMPACT Trial
Bibliographic record
Abstract
Purpose: Given between-country differences in healthcare systems, treatment costs, and disease management guidelines, country-specific cost-effectiveness analyses are important. This study evaluated the cost-effectiveness of once-daily fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) versus FF/VI and UMEC/VI among patients with symptomatic chronic obstructive pulmonary disease (COPD) at risk of exacerbations from a Spanish healthcare system perspective. Patients and Methods: Baseline data and treatment effects from the IMPACT trial were populated into the validated GALAXY COPD progression model. Utilities were estimated using Spanish observational data. Direct healthcare costs (2019 €) were informed by Spanish public sources. A 3% discount rate for costs and benefits was applied. The time horizon and treatment duration were 3 years (base case). One-way sensitivity, scenario, and probabilistic sensitivity analyses were performed. Results: FF/UMEC/VI treatment resulted in fewer exacerbations over 3 years (4.130 vs 3.648) versus FF/VI, with a mean (95% confidence interval [CI]) incremental cost of €444 (€149, €713) per patient and benefit of 0.064 (0.053, 0.076) quality-adjusted life years (QALYs), resulting in an incremental cost-effectiveness ratio (ICER) of €6887 per QALY gained. FF/UMEC/VI was a dominant treatment strategy versus UMEC/VI, resulting in fewer exacerbations (4.130 vs 3.360), with a mean (95% CI) incremental cost of -€450 (-€844, -€149) and benefit of 0.054 (0.043, 0.064) QALYs. FF/UMEC/VI was cost-effective versus FF/VI and UMEC/VI across all analyses. Conclusion: FF/UMEC/VI was predicted to be a cost-effective treatment option versus FF/VI or UMEC/VI in symptomatic COPD patients at risk of exacerbations in Spain, across all scenarios and sensitivity analyses.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".