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Testing the myth of fee‐for‐service and overprovision in health care

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  • Sibilla Di Guida
  • Dorte Gyrd‐Hansen
  • Anne Sophie Oxholm

Abstract

Paying on the basis of fee‐for‐service (FFS) is often associated with a risk of overprovision. Policymakers are therefore increasingly looking to other payment schemes to ensure a more efficient delivery of health care. This study tests whether context plays a role for overprovision under FFS. Using a laboratory experiment involving medical students, we test the extent of overprovision under FFS when the subjects face different fee sizes, patient types, and market conditions. We observe that decreasing the fee size has an effect on overprovision under both market conditions. We also observe that patients who are harmed by excess treatment are at little risk of overprovision. Finally, when subjects face resource constraints but still have an incentive to overprovide high‐profit services, they hesitate to do so, implying that the presence of opportunity costs in terms of reduced benefits to other patients protects against overprovision. Thus, this study provides evidence that the risk of overprovision under FFS depends on fee sizes, patients' health profiles, and market conditions.

Suggested Citation

  • Sibilla Di Guida & Dorte Gyrd‐Hansen & Anne Sophie Oxholm, 2019. "Testing the myth of fee‐for‐service and overprovision in health care," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 717-722, May.
  • Handle: RePEc:wly:hlthec:v:28:y:2019:i:5:p:717-722
    DOI: 10.1002/hec.3875
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    2. Nibene H. Somé & Rose Anne Devlin & Nirav Mehta & Gregory S. Zaric & Sisira Sarma, 2020. "Stirring the pot: Switching from blended fee‐for‐service to blended capitation models of physician remuneration," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1435-1455, November.
    3. Robert John Kolesar & Peter Bogetoft & Vanara Chea & Guido Erreygers & Sambo Pheakdey, 2022. "Advancing universal health coverage in the COVID-19 era: an assessment of public health services technical efficiency and applied cost allocation in Cambodia," Health Economics Review, Springer, vol. 12(1), pages 1-20, December.
    4. Finocchiaro Castro, Massimo & Guccio, Calogero & Romeo, Domenica, 2022. "A systematic literature review of 10 years of behavioral research on health services," EconStor Preprints 266248, ZBW - Leibniz Information Centre for Economics.
    5. Atehortua, S & Rodríguez-Valencia, A, 2021. "Physician s Allocation Preferences under Scarcity and Uncertainty," Documentos de Trabajo 19665, Universidad del Rosario.
    6. Brosig-Koch, Jeannette & Groß, Mona & Hennig-Schmidt, Heike & Kairies-Schwarz, Nadja & Wiesen, Daniel, 2021. "Physicians' incentives, patients' characteristics, and quality of care: A systematic experimental comparison of fee-for-service, capitation, and pay for performance," Ruhr Economic Papers 923, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Simon Reif & Lucas Hafner & Michael Seebauer, 2020. "Physician Behavior under Prospective Payment Schemes—Evidence from Artefactual Field and Lab Experiments," IJERPH, MDPI, vol. 17(15), pages 1-37, July.
    8. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    9. Waibel, Christian & Wiesen, Daniel, 2021. "An experiment on referrals in health care," European Economic Review, Elsevier, vol. 131(C).
    10. O'Halloran, Jamie & Oxholm, Anne Sophie & Pedersen, Line Bjørnskov & Gyrd-Hansen, Dorte, 2021. "Time to retire? A register-based study of GPs’ practice style prior to retirement," Social Science & Medicine, Elsevier, vol. 281(C).
    11. Brosig-Koch, Jeannette & Hennig-Schmidt, Heike & Kairies-Schwarz, Nadja & Kokot, Johanna & Wiesen, Daniel, 2020. "Physician performance pay: Experimental evidence," HERO Online Working Paper Series 2020:3, University of Oslo, Health Economics Research Programme.
    12. Franziska Brendel & Lisa Einhaus & Franziska Then, 2021. "Resource scarcity and prioritization decisions in medical care: A lab experiment with heterogeneous patient types," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 470-477, February.
    13. Yiting Wang & Wenhui Hou & Xiaokang Wang & Hongyu Zhang & Jianqiang Wang, 2021. "Bad to All? A Novel Way to Analyze the Effects of Fee-for-Service on Multiple Grades Hospitals Operation Outcomes," IJERPH, MDPI, vol. 18(23), pages 1-19, December.

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