IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/15633.html
   My bibliography  Save this paper

The Impact of Comparative Effectiveness Research on Health and Health Care Spending

Author

Listed:
  • Anirban Basu
  • Tomas J. Philipson

Abstract

Public technology assessments in general and Comparative Effectiveness Research (CER) in particular have been justified by offsetting benefits of improving patient health and reducing health care spending. However, little conceptual and empirical understanding exists concerning the quantitative impact of public technology assessments such as CER. This is needed to assess whether CER has benefits that outweighs its investment costs. This paper provides a systematic framework to analyze the impact of CER on health outcomes and medical care spending. We interpret CER to infuse evidence on product quality into the market place declaring product winners and losers. This shifts demand by patients and doctors as well as coverage by third party payers towards the winners of CER studies and away from losers. We trace out the spending and health implications of such responses to evidence on product quality in privately and publicly financed health care markets. We simulate these effects for antipsychotics that are among the largest drug classes of the US Medicaid program and for which CER has been conducted by means of the CATIE trial in 1999. Our main conclusion, from both the conceptual and empirical analysis, is that investments into CER may not always have the intended benefits of lowering spending and improving health outcomes. Because CER may result in higher spending and worse health, it is important to have methods to evaluate quantitatively the impacts of CER investments.

Suggested Citation

  • Anirban Basu & Tomas J. Philipson, 2010. "The Impact of Comparative Effectiveness Research on Health and Health Care Spending," NBER Working Papers 15633, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15633
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w15633.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Duggan, Mark, 2005. "Do new prescription drugs pay for themselves?: The case of second-generation antipsychotics," Journal of Health Economics, Elsevier, vol. 24(1), pages 1-31, January.
    2. Jena, Anupam B. & Philipson, Tomas J., 2008. "Cost-effectiveness analysis and innovation," Journal of Health Economics, Elsevier, vol. 27(5), pages 1224-1236, September.
    3. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits," Medical Decision Making, , vol. 18(2_suppl), pages 68-80, April.
    4. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
    5. Tomas J. Philipson & Dana Goldman, 2007. "Integrated Insurance Design in the Presence of Multiple Medical Technologies," American Economic Review, American Economic Association, vol. 97(2), pages 427-432, May.
    6. Anirban Basu, 2009. "Individualization at the Heart of Comparative Effectiveness Research: The Time for i-CER Has Come," Medical Decision Making, , vol. 29(6), pages 9-11, November.
    7. Jena, Anupam B. & Philipson, Tomas J., 2013. "Endogenous cost-effectiveness analysis and health care technology adoption," Journal of Health Economics, Elsevier, vol. 32(1), pages 172-180.
    8. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
    9. Anupam B. Jena & Stéphane Mechoulan & Tomas J. Philipson, 2010. "Altruism and Innovation in Health Care," Journal of Law and Economics, University of Chicago Press, vol. 53(3), pages 497-518.
    10. Pauly, Mark V. & Blavin, Fredric E., 2008. "Moral hazard in insurance, value-based cost sharing, and the benefits of blissful ignorance," Journal of Health Economics, Elsevier, vol. 27(6), pages 1407-1417, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amitabh Chandra & Anupam B. Jena & Jonathan S. Skinner, 2011. "The Pragmatist's Guide to Comparative Effectiveness Research," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 27-46, Spring.
    2. Boone, J., 2013. "Does the Market Choose Optimal Health Insurance Coverage," Other publications TiSEM f7691fbf-f770-4714-b1b4-1, Tilburg University, School of Economics and Management.
    3. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    4. Anirban Basu & Anupam B. Jena & Dana P. Goldman & Tomas J. Philipson & Robert Dubois, 2014. "Heterogeneity In Action: The Role Of Passive Personalization In Comparative Effectiveness Research," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 359-373, March.
    5. Kristopher J. Hult, 2017. "Measuring the Potential Health Impact of Personalized Medicine: Evidence from MS Treatments," NBER Working Papers 23900, National Bureau of Economic Research, Inc.
    6. Basu Anirban, 2013. "Personalized Medicine in the Context of Comparative Effectiveness Research," Forum for Health Economics & Policy, De Gruyter, vol. 16(2), pages 107-120, June.
    7. Kristopher J. Hult, 2018. "Measuring the Potential Health Impact of Personalized Medicine: Evidence from Multiple Sclerosis Treatments," NBER Chapters, in: Economic Dimensions of Personalized and Precision Medicine, pages 185-216, National Bureau of Economic Research, Inc.
    8. Boone, Jan, 2013. "Does the market choose optimal health insurance coverage?," CEPR Discussion Papers 9420, C.E.P.R. Discussion Papers.
    9. Anirban Basu & David Meltzer, 2012. "Private Manufacturers’ Thresholds to Invest in Comparative Effectiveness Trials," PharmacoEconomics, Springer, vol. 30(10), pages 859-868, October.
    10. Jena, Anupam B. & Philipson, Tomas J., 2013. "Endogenous cost-effectiveness analysis and health care technology adoption," Journal of Health Economics, Elsevier, vol. 32(1), pages 172-180.
    11. Anirban Basu, 2012. "Estimating Person-Centered Treatment (PeT) Effects Using Instrumental Variables," NBER Working Papers 18056, National Bureau of Economic Research, Inc.
    12. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
    13. Michael R. Eber & Cass R. Sunstein & James K. Hammitt & Jennifer M. Yeh, 2021. "The modest effects of fact boxes on cancer screening," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 29-54, February.
    14. Evans, H. & Basu, A, 2011. "Exploring comparative effect heterogeneity with instrumental variables: prehospital intubation and mortality," Health, Econometrics and Data Group (HEDG) Working Papers 11/08, HEDG, c/o Department of Economics, University of York.
    15. Mousnad, Mohamed Awad & Shafie, Asrul Akmal & Ibrahim, Mohamed Izham, 2014. "Systematic review of factors affecting pharmaceutical expenditures," Health Policy, Elsevier, vol. 116(2), pages 137-146.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
    2. Glazer, Jacob & McGuire, Thomas G., 2012. "A welfare measure of “offset effects” in health insurance," Journal of Public Economics, Elsevier, vol. 96(5), pages 520-523.
    3. Rebecca Myerson & Darius Lakdawalla & Lisandro D. Colantonio & Monika Safford & David Meltzer, 2018. "Effects of expanding health screening on treatment – What should we expect? What can we learn?," Working Papers 2018-014, Human Capital and Economic Opportunity Working Group.
    4. Karl Claxton & Stephen Palmer & Louise Longworth & Laura Bojke & Susan Griffin & Claire McKenna & Marta Soares & Eldon Spackman & Jihee Youn, 2011. "Uncertainty, evidence and irrecoverable costs: Informing approval, pricing and research decisions for health technologies," Working Papers 069cherp, Centre for Health Economics, University of York.
    5. Rebecca Mary Myerson & Darius Lakdawalla & Lisandro D. Colantonio & Monika Safford & David Meltzer, 2018. "Effects of Expanding Health Screening on Treatment - What Should We Expect? What Can We Learn?," NBER Working Papers 24347, National Bureau of Economic Research, Inc.
    6. Manuel Antonio Espinoza & Andrea Manca & Karl Claxton & Mark Sculpher, 2018. "Social value and individual choice: The value of a choice‐based decision‐making process in a collectively funded health system," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 28-40, February.
    7. Simon Eckermann & Tim Coelli, 2008. "Including quality attributes in a model of health care efficiency: A net benefit approach," CEPA Working Papers Series WP032008, School of Economics, University of Queensland, Australia.
    8. Clarke, Philip M. & Hayes, Alison J., 2009. "Measuring achievement: Changes in risk factors for cardiovascular disease in Australia," Social Science & Medicine, Elsevier, vol. 68(3), pages 552-561, February.
    9. Niklas Zethraeus & Magnus Johannesson & Bengt Jönsson & Mickael Löthgren & Magnus Tambour, 2003. "Advantages of Using the Net-Benefit Approach for Analysing Uncertainty in Economic Evaluation Studies," PharmacoEconomics, Springer, vol. 21(1), pages 39-48, January.
    10. Jordan Amdahl & Jose Diaz & Arati Sharma & Jinhee Park & David Chandiwana & Thomas E Delea, 2017. "Cost-effectiveness of pazopanib versus sunitinib for metastatic renal cell carcinoma in the United Kingdom," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-18, June.
    11. Emma McIntosh, 2006. "Using Discrete Choice Experiments within a Cost-Benefit Analysis Framework," PharmacoEconomics, Springer, vol. 24(9), pages 855-868, September.
    12. Martin Henriksson & Fredrik Lundgren & Per Carlsson, 2006. "Informing the efficient use of health care and health care research resources ‐ the case of screening for abdominal aortic aneurysm in Sweden," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1311-1322, December.
    13. Katherine Baicker & Sendhil Mullainathan & Joshua Schwartzstein, 2015. "Behavioral Hazard in Health Insurance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1623-1667.
    14. David Brain & Ruth Tulleners & Xing Lee & Qinglu Cheng & Nicholas Graves & Rosana Pacella, 2019. "Cost-effectiveness analysis of an innovative model of care for chronic wounds patients," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-13, March.
    15. Stefano Conti & Karl Claxton, 2008. "Dimensions of design space: a decision-theoretic approach to optimal research design," Working Papers 038cherp, Centre for Health Economics, University of York.
    16. Andrew H. Briggs & Bernie J. O'Brien, 2001. "The death of cost‐minimization analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 10(2), pages 179-184, March.
    17. Richard M. Nixon & David Wonderling & Richard D. Grieve, 2010. "Non‐parametric methods for cost‐effectiveness analysis: the central limit theorem and the bootstrap compared," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 316-333, March.
    18. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    19. Karl Claxton & Elisabeth Fenwick & Mark J. Sculpher, 2012. "Decision-making with Uncertainty: The Value of Information," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 51, Edward Elgar Publishing.
    20. John Mullahy, 2017. "Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects," NBER Working Papers 23603, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • I1 - Health, Education, and Welfare - - Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:15633. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.