Improving the efficiency of cost-effectiveness analysis to inform policy decisions in the real world: Lessons from the Pharmacoeconomics Research Unit at Cancer Care Ontario

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

There are important challenges in the application of using operations research (OR) and cost-effectiveness analysis (CEA) in the real world that highlight the great divide between academic research and practical application. The difficulty is magnified in cancer. Nevertheless, the potential for CEA to inform policy decisions is also great. The best estimate of a new drug’s cost-effectiveness is not knowledge for knowledge’s sake; this type of information is the foundation of accountability for the hundreds of millions of dollars being spent. In 2007, Cancer Care Ontario (CCO) established Canada’s first in-house Pharmacoeconomics Research Unit comprised of independent researchers. This chapter reviews the initial years of the Unit at CCO after briefly describing Canada’s cancer drug funding landscape. The chapter concludes by sharing lessons from the Pharmacoeconomics Research Unit’s experience and pointing out directions for future research aimed at reaching decision makers in the real world.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
PublisherSpringer New York LLC
Pages399-416
Number of pages18
Volume190
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameInternational Series in Operations Research and Management Science
Volume190
ISSN (Print)08848289

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ASJC Scopus subject areas

  • Management Science and Operations Research
  • Strategy and Management
  • Applied Mathematics
  • Computer Science Applications
  • Software

Cite this

Hoch, J. S. (2013). Improving the efficiency of cost-effectiveness analysis to inform policy decisions in the real world: Lessons from the Pharmacoeconomics Research Unit at Cancer Care Ontario. In International Series in Operations Research and Management Science (Vol. 190, pp. 399-416). (International Series in Operations Research and Management Science; Vol. 190). Springer New York LLC. https://doi.org/10.1007/978-1-4614-6507-2_18