Application of Operations Research to Funding Decisions for Treatments with Rare Disease
Doug Coyle (),
Chaim M. Bell,
Joe T. R. Clarke,
Gerald Evans,
Anita Gadhok,
Janet Martin,
Mona Sabharwal and
Eric Winquist
Additional contact information
Doug Coyle: University of Ottawa
Chaim M. Bell: Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital
Joe T. R. Clarke: Hospital for Sick Children
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
Chapter Chapter 13 in Operations Research and Health Care Policy, 2013, pp 281-294 from Springer
Abstract:
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.
Keywords: Life Expectancy; Rare Disease; Respiratory Symptom; Enzyme Replacement Therapy; Paroxysmal Nocturnal Hemoglobinuria (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-6507-2_13
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DOI: 10.1007/978-1-4614-6507-2_13
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