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Opportunity Cost of Funding Drugs for Rare Diseases

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Listed:
  • Doug Coyle
  • Matthew C. Cheung
  • Gerald A. Evans

Abstract

Background . Both ethical and economics concerns have been raised with respect to the funding of drugs for rare diseases. This article reports both the cost-effectiveness of eculizumab for the treatment of paroxysmal nocturnal hemoglobinuria (PNH) and its associated opportunity costs. Methods . Analysis compared eculizumab plus current standard of care v. current standard of care from a publicly funded health care system perspective. A Markov model covered the major consequences of PNH and treatment. Cost-effectiveness was assessed in terms of the incremental cost per life year and per quality-adjusted life year (QALY) gained. Opportunity costs were assessed by the health gains foregone and the alternative uses for the additional resources. Results . Eculizumab is associated with greater life years (1.13), QALYs (2.45), and costs (CAN$5.24 million). The incremental cost per life year and per QALY gained is CAN$4.62 million and CAN$2.13 million, respectively. Based on established thresholds, the opportunity cost of funding eculizumab is 102.3 discounted QALYs per patient funded. Sensitivity and subgroup analysis confirmed the robustness of the results. If the acquisition cost of eculizumab was reduced by 98.5%, it could be considered cost-effective. Limitations . The nature of rare diseases means that data are often sparse for the conduct of economic evaluations. When data were limited, assumptions were made that biased results in favor of eculizumab. Conclusions . This study demonstrates the feasibility of conducting economic evaluations in the context of rare diseases. Eculizumab may provide substantive benefits to patients with PNH in terms of life expectancy and quality of life but at a high incremental cost and a substantial opportunity cost. Decision makers should fully consider the opportunity costs before making positive reimbursement decisions.

Suggested Citation

  • Doug Coyle & Matthew C. Cheung & Gerald A. Evans, 2014. "Opportunity Cost of Funding Drugs for Rare Diseases," Medical Decision Making, , vol. 34(8), pages 1016-1029, November.
  • Handle: RePEc:sae:medema:v:34:y:2014:i:8:p:1016-1029
    DOI: 10.1177/0272989X14539731
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    References listed on IDEAS

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    1. Daniels, Norman & Sabin, James E., 2002. "Setting Limits Fairly: Can we learn to share medical resources?," OUP Catalogue, Oxford University Press, number 9780195149364.
    2. Karl Claxton & Steve Martin & Marta Soares & Nigel Rice & Eldon Spackman & Sebastian Hinde & Nancy Devlin & Peter C Smith & Mark Sculpher, 2013. "Methods for the estimation of the NICE cost effectiveness threshold," Working Papers 081cherp, Centre for Health Economics, University of York.
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    Cited by:

    1. Joost W. Geenen & Svetlana V. Belitser & Rick A. Vreman & Martijn Bloois & Olaf H. Klungel & Cornelis Boersma & Anke M. Hövels, 2020. "A novel method for predicting the budget impact of innovative medicines: validation study for oncolytics," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 845-853, August.
    2. Douglas, Conor M.W. & Panagiotoglou, Dimitra & Dragojlovic, Nick & Lynd, Larry, 2021. "Methodology for constructing scenarios for health policy research: The case of coverage decision-making for drugs for rare diseases in Canada," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Frank G. Sandmann & Julie V. Robotham & Sarah R. Deeny & W. John Edmunds & Mark Jit, 2018. "Estimating the opportunity costs of bed‐days," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 592-605, March.
    4. Belousova, Olga A. & Groen, Aard J. & Ouendag, Aniek M., 2020. "Opportunities and barriers for innovation and entrepreneurship in orphan drug development," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

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