Abstract
Objective
The objective of this study was to assess the cost effectiveness of the dual bronchodilator indacaterol/glycopyrronium (IND/GLY) compared with salmeterol/fluticasone combination (SFC) in patients with moderate-to-severe chronic obstructive pulmonary disease (COPD) who had a history of one or no exacerbations in the previous year, in Canada, France, Italy, and Portugal.
Methods
A patient-level simulation was developed to compare the costs and outcomes of IND/GLY versus SFC based on data from the LANTERN trial (NCT01709903). Monte-Carlo simulation methods were employed to follow individual patients over various time horizons. Population and efficacy inputs were derived from the LANTERN trial. Considering the payers’ perspective, only direct costs were included. Costs and health outcomes were discounted annually at 3.0 % for all countries. Unit costs were taken from publically available sources with all costs converted to euros (€). The cost base year was 2015. Deterministic and probabilistic sensitivity analyses were undertaken to test the robustness of the model results.
Results
IND/GLY was found to be the dominant (more effective and less costly) treatment option compared with SFC in all four countries. The use of IND/GLY was associated with mean total cost savings per patient over a lifetime of €6202, €1974, €1611, and €220 in Canada, France, Italy, and Portugal, respectively. Sensitivity analysis showed that exacerbation rates had the largest impact on incremental costs and quality-adjusted life-years (QALYs). The probability of IND/GLY being cost effective was estimated to be >95 % for thresholds above €5000/QALY.
Conclusion
In patients with moderate to severe COPD, IND/GLY is likely to be a cost-effective treatment alternative compared with SFC.
Original language | English |
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Pages (from-to) | 579-594 |
Number of pages | 16 |
Journal | Applied Health Economics and Health Policy |
Volume | 14 |
Issue number | 5 |
Early online date | 11 Aug 2016 |
DOIs | |
Publication status | Published - Oct 2016 |
Bibliographical note
Acknowledgments The authors would like to thank Purnima Pathak(Novartis) for providing writing assistance in the development of this
manuscript. The authors would also like to thank Colin Burke and
Ronan Mahon (Health Economic Modelers; Novartis) for their
modeling support. Medical writing support was funded by Novartis
Pharma AG (Basel, Switzerland).