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Hospital competition under pay‐for‐performance: Quality, mortality, and readmissions

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  • Domenico Lisi
  • Luigi Siciliani
  • Odd Rune Straume

Abstract

Health outcomes, such as mortality and readmission rates, are commonly used as indicators of hospital quality and as a basis to design pay‐for‐performance (P4P) incentive schemes. We propose a model of hospital behavior under P4P where patients differ in severity and can choose hospital based on quality. We assume that risk‐adjustment is not fully accounted for and that unobserved dimensions of severity remain. We show that the introduction of P4P which rewards lower mortality and/or readmission rates can weaken or strengthen hospitals' incentive to provide quality. Since patients with higher severity have a different probability of exercising patient choice when quality varies, this introduces a selection bias (patient composition effect) which in turn alters quality incentives. We also show that this composition effect increases with the degree of competition. Critically, readmission rates suffer from one additional source of selection bias through mortality rates since quality affects the distribution of survived patients. This implies that the scope for counterproductive effects of P4P is larger when financial rewards are linked to readmission rates rather than mortality rates.

Suggested Citation

  • Domenico Lisi & Luigi Siciliani & Odd Rune Straume, 2020. "Hospital competition under pay‐for‐performance: Quality, mortality, and readmissions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(2), pages 289-314, April.
  • Handle: RePEc:bla:jemstr:v:29:y:2020:i:2:p:289-314
    DOI: 10.1111/jems.12345
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    Cited by:

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    2. Cellini, Roberto & Lisi, Domenico, 2019. "Readmission treatment price and product quality in the hospital sector: A note," MPRA Paper 92505, University Library of Munich, Germany.
    3. Rosella Levaggi & Michele Moretto & Paolo Pertile, 2023. "Dynamic, incentive-compatible contracting for health services," Working Papers 2023.16, Fondazione Eni Enrico Mattei.
    4. Guccio, C. & Lisi, D. & Martorana, M.F. & Pignataro, G., 2020. "Incorporating quality in the efficiency assessment of hospitals using a generalized directional distance function approach," Health, Econometrics and Data Group (HEDG) Working Papers 20/17, HEDG, c/o Department of Economics, University of York.
    5. Roberto Cellini & Domenico Lisi, 2020. "Readmission treatment price and product quality in the hospital sector," Health Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 61-71, January.
    6. Luigi Siciliani & James Gaughan & Nils Gutacker & Hugh Gravelle & Martin Chalkley, 2021. "Paying for health gains," Working Papers 183cherp, Centre for Health Economics, University of York.
    7. Bell-Aldeghi, Rosalind & Chopard, Bertrand, 2021. "Hospital multi-dimensional quality competition with medical malpractice," International Review of Law and Economics, Elsevier, vol. 68(C).

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    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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