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Application of Operations Research to Funding Decisions for Treatments with Rare Disease

In: Operations Research and Health Care Policy

Author

Listed:
  • Doug Coyle

    (University of Ottawa)

  • Chaim M. Bell

    (Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital
    University of Toronto)

  • Joe T. R. Clarke

    (Hospital for Sick Children
    Centre Hospitalier Universitaire)

  • Gerald Evans

    (Queen’s University)

  • Anita Gadhok

    (Ontario Ministry of Health and Long-term Care)

  • Janet Martin

    (University of Western Ontario)

  • Mona Sabharwal

    (Ontario Ministry of Health and Long-term Care)

  • Eric Winquist

    (University of Western Ontario)

Abstract

In this chapter, the focus is on the application of decision analytic tools to assist in reimbursement decisions related to drugs for rare diseases. Focus is on the evaluative framework developed by the Ontario Ministry of Health's Drugs for Rare Diseases Working Group. The chapter describes the framework and illustrates the role of decision analytic methods through the application of the framework to idursulfase treatment of Hunter disease, an enzyme deficiency syndrome. The chapter highlights the development of a Markov model designed to mirror the natural disease history and to simulate the possible benefits of treatment. This process led to the Ministry of Health developing funding recommendations for the treatment of Hunter disease.

Suggested Citation

  • Doug Coyle & Chaim M. Bell & Joe T. R. Clarke & Gerald Evans & Anita Gadhok & Janet Martin & Mona Sabharwal & Eric Winquist, 2013. "Application of Operations Research to Funding Decisions for Treatments with Rare Disease," International Series in Operations Research & Management Science, in: Gregory S. Zaric (ed.), Operations Research and Health Care Policy, edition 127, chapter 0, pages 281-294, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-6507-2_13
    DOI: 10.1007/978-1-4614-6507-2_13
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