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A Cost-Benefit Analysis of Using Evidence of Effectiveness in Terms of Progression Free Survival in Making Reimbursement Decisions on New Cancer Therapies

Author

Listed:
  • Stevens Warren

    (Precision Health Economics, 11100 Santa Monica Blvd Suite 500, Los Angeles, CA 90025, USA)

  • Philipson Tomas

    (University of Chicago – The Harris School, 1155 E. 60th St., Suite 112, Chicago, IL 60637, USA)

  • Wu Yanyu

    (Precision Health Economics, 800 Boylston Street, 16th Fl, Boston, MA 02199, USA)

  • Chen Connie

    (Pfizer, 235 East 42nd Street, New York, NY 10017, USA)

  • Lakdawalla Darius

    (University of Southern California, University Gateway 100D, Los Angeles, CA 90089, USA)

Abstract

Payers increasingly require evidence of a statistically significant difference in overall survival (OS) for reimbursement of new cancer therapies. At the same time, it becomes increasingly costly to design clinical trials that measure OS endpoints instead of progression-free survival (PFS) endpoints. While PFS is often an imperfect proxy for OS effects, it is also faster and cheaper to measure accurately. This study develops a general cost-benefit framework that quantifies the competing trade-offs of the use of PFS versus that of OS in oncology reimbursement. We then apply this general framework to the illustrative case of metastatic renal cell carcinoma (mRCC). In the particular case of mRCC, the framework demonstrates that the net benefit to society from basing reimbursement decisions on PFS endpoints could be between $271 and $1271 million in the United States, or between €171 and €1128 million in Europe. In longevity terms, waiting for OS data in this case would result in a net loss of 3549–14,557 life-years among US patients, or 6785–27,993 life-years for European patients. While more stringent standards for medical evidence improve accuracy, they also impose countervailing costs on patients in terms of foregone health gains. These costs must be weighed against the benefits of greater accuracy. The magnitudes of the costs and benefits may vary across tumor types and need to be quantified systematically.

Suggested Citation

  • Stevens Warren & Philipson Tomas & Wu Yanyu & Chen Connie & Lakdawalla Darius, 2014. "A Cost-Benefit Analysis of Using Evidence of Effectiveness in Terms of Progression Free Survival in Making Reimbursement Decisions on New Cancer Therapies," Forum for Health Economics & Policy, De Gruyter, vol. 17(1), pages 21-52, January.
  • Handle: RePEc:bpj:fhecpo:v:17:y:2014:i:1:p:32:n:5
    DOI: 10.1515/fhep-2013-0025
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    References listed on IDEAS

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    1. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    2. Philipson Tomas J. & Sun Eric & Goldman Dana & Jena Anupam B., 2012. "A Reexamination of the Costs of Medical R&D Regulation," Forum for Health Economics & Policy, De Gruyter, vol. 15(1), pages 1-28, October.
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