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Endogenous Cost-Effectiveness Analysis in Health Care Technology Adoption

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  • Anupam Jena
  • Tomas Philipson

Abstract

Increased health care spending has been argued to be largely due to technological change. Cost-effectiveness analysis is the main tool used by private and public third-party payers to prioritize adoption of the new technologies responsible for this growth. However, such analysis by payers invariably reflects prices set by producers rather than resources used to produce treatments. This implies that the "costs" in cost-effectiveness assessments depend on endogenous markups which are, in turn, influenced by demand factors of patients, doctors, and payers. Reimbursement policy based on endogenous cost-effectiveness levels may therefore bear little relationship to efficient use of scarce medical resources. Using data on technology appraisals in the United Kingdom, we test for conditions under which adoption based on endogenous cost-effectiveness may lead to adoption of more inefficient treatments in terms of resource use.

Suggested Citation

  • Anupam Jena & Tomas Philipson, 2009. "Endogenous Cost-Effectiveness Analysis in Health Care Technology Adoption," NBER Working Papers 15032, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:15032
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    1. Jena, Anupam B. & Philipson, Tomas J., 2008. "Cost-effectiveness analysis and innovation," Journal of Health Economics, Elsevier, vol. 27(5), pages 1224-1236, September.
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    2. Mikael Svensson & Fredrik Nilsson & Karl Arnberg, 2015. "Reimbursement Decisions for Pharmaceuticals in Sweden: The Impact of Disease Severity and Cost Effectiveness," PharmacoEconomics, Springer, vol. 33(11), pages 1229-1236, November.
    3. Rodrigo Camejo & Clare McGrath & Marisa Miraldo & Frans Rutten, 2014. "Distribution of health-related social surplus in pharmaceuticals: an estimation of consumer and producer surplus in the management of high blood lipids and COPD," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(4), pages 439-445, May.
    4. Basu, Anirban & Jena, Anupam B. & Philipson, Tomas J., 2011. "The impact of comparative effectiveness research on health and health care spending," Journal of Health Economics, Elsevier, vol. 30(4), pages 695-706, July.
    5. Boone, Jan, 2013. "Does the market choose optimal health insurance coverage?," CEPR Discussion Papers 9420, C.E.P.R. Discussion Papers.
    6. Ben van Hout & Jolian McHardy & Aki Tsuchiya, 2015. "Patent Purchase as a Policy for Pharmaceuticals," Working Papers 2015007, The University of Sheffield, Department of Economics.
    7. Yupeng Liu & Yutao Yang & Yue Liu & Gwo-Hshiung Tzeng, 2019. "Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method," Sustainability, MDPI, vol. 11(3), pages 1-29, January.
    8. 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.
    9. Fischer, Katharina E. & Rogowski, Wolf H. & Leidl, Reiner & Stollenwerk, Björn, 2013. "Transparency vs. closed-door policy: Do process characteristics have an impact on the outcomes of coverage decisions? A statistical analysis," Health Policy, Elsevier, vol. 112(3), pages 187-196.
    10. Elamin H. Elbasha & Jagpreet Chhatwal, 2016. "Myths and Misconceptions of Within-Cycle Correction: A Guide for Modelers and Decision Makers," PharmacoEconomics, Springer, vol. 34(1), pages 13-22, January.
    11. 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.
    12. Carlos Campillo-Artero & Jaume Puig-Junoy & José Luis Segú-Tolsa & Marta Trapero-Bertran, 2020. "Price Models for Multi-indication Drugs: A Systematic Review," Applied Health Economics and Health Policy, Springer, vol. 18(1), pages 47-56, February.
    13. Rejon-Parrilla, J.C & Hernandez-Villafuerte, K. & Shah, K. & Mestre-Ferrandiz, J. & Garrison, L. & Towse, A., 2014. "The Expanding Value Footprint of Oncology Treatments," Consulting Reports 000050, Office of Health Economics.
    14. William S. Comanor & Stuart O. Schweitzer & Jon M. Riddle & Frederic Schoenberg, 2018. "Value Based Pricing of Pharmaceuticals in the US and UK: Does Centralized Cost Effectiveness Analysis Matter?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(4), pages 589-602, June.
    15. Maximilian Hatz & Katharina Schremser & Wolf Rogowski, 2014. "Is Individualized Medicine More Cost-Effective? A Systematic Review," PharmacoEconomics, Springer, vol. 32(5), pages 443-455, May.
    16. Rosella Levaggi & Paolo Pertile, 2016. "Pricing policies when patients are heterogeneous: a welfare analysis," Working Papers 17/2016, University of Verona, Department of Economics.
    17. Werner Brouwer & Pieter Baal & Job Exel & Matthijs Versteegh, 2019. "When is it too expensive? Cost-effectiveness thresholds and health care decision-making," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 175-180, March.
    18. Dana Goldman & Darius Lakdawalla & Tomas J. Philipson & Wesley Yin, 2010. "Valuing health technologies at nice: recommendations for improved incorporation of treatment value in HTA," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1109-1116, October.

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    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

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