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The Impact of Recent Chemotherapy Innovation on the Longevity of Myeloma Patients: U.S. and International Evidence

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  • Frank Lichtenberg
  • Gisela Hostenkamp

Abstract

There were no innovations in chemotherapy for myeloma patients during the period 1977-1997, but there have been several important innovations since 1997. We investigate the impact of recent chemotherapy innovation on the longevity of myeloma patients using both time-series U.S. data and longitudinal data on 26 countries. In the US, the average annual rate of increase of life expectancy of myeloma patients at time of diagnosis was over five times as large during 1997-2005 as it had been during 1975-1997. We estimate that almost two-thirds (0.99 years) of the 1997-2005 increase in life expectancy was due to the increase in the number of chemotherapy regimens now preferred by specialists, and that the cost per U.S. life-year gained from post-1997 chemotherapy innovation did not exceed $45,551. We also investigate the impact of chemotherapy innovation on the myeloma mortality rate using longitudinal country-level data on 26 countries during the period 2005-2009. Countries that had larger increases in the number of chemotherapy regimens had larger subsequent declines in myeloma mortality rates, controlling for other factors. The estimates imply that chemotherapy innovation reduced the age-adjusted myeloma cancer mortality rate by about 3.1% during the period 2005-2009.

Suggested Citation

  • Frank Lichtenberg & Gisela Hostenkamp, 2013. "The Impact of Recent Chemotherapy Innovation on the Longevity of Myeloma Patients: U.S. and International Evidence," CESifo Working Paper Series 4516, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_4516
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    References listed on IDEAS

    as
    1. Joseph E. Aldy & W. Kip Viscusi, 2008. "Adjusting the Value of a Statistical Life for Age and Cohort Effects," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 573-581, August.
    2. Lichtenberg Frank R., 2010. "Pharmaceutical Price Discrimination and Social Welfare," Capitalism and Society, De Gruyter, vol. 5(1), pages 1-32, July.
    3. Olson, Mary K., 2008. "The risk we bear: The effects of review speed and industry user fees on new drug safety," Journal of Health Economics, Elsevier, vol. 27(2), pages 175-200, March.
    4. Lichtenberg Frank R., 2010. "Are Increasing 5-Year Survival Rates Evidence of Success Against Cancer? A Reexamination Using Data from the U.S. and Australia," Forum for Health Economics & Policy, De Gruyter, vol. 13(2), pages 1-18, August.
    5. Lichtenberg, Frank R., 2013. "The impact of therapeutic procedure innovation on hospital patient longevity: Evidence from Western Australia, 2000–2007," Social Science & Medicine, Elsevier, vol. 77(C), pages 50-59.
    6. Lichtenberg Frank R., 2013. "The Effect of Pharmaceutical Innovation on Longevity: Patient Level Evidence from the 1996–2002 Medical Expenditure Panel Survey and Linked Mortality Public-use Files," Forum for Health Economics & Policy, De Gruyter, vol. 16(1), pages 1-33, January.
    7. Lichtenberg, Frank R., 2014. "The impact of pharmaceutical innovation on longevity and medical expenditure in France, 2000–2009," Economics & Human Biology, Elsevier, vol. 13(C), pages 107-127.
    8. Lichtenberg, Frank R. & Tatar, Mehtap & Çalışkan, Zafer, 2014. "The effect of pharmaceutical innovation on longevity, hospitalization and medical expenditure in Turkey, 1999–2010," Health Policy, Elsevier, vol. 117(3), pages 361-373.
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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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