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Does the Extent of Per-Case Payment System Affect Hospital Efficiency? Evidence from the Italian NHS

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  • Cavalieri, M.
  • Guccio, C.
  • Lisi, D.
  • Pignataro, G.

Abstract

Recently increasing public pressure to contain costs in the healthcare sector has led many national governments to introduce some type of prospective payment system and reduce the scope of global budgeting. This study investigates the extent to which the reimbursement systems of the Italian hospital sector have an impact on hospitals’ technical efficiency. Because of high variation in the financing and provision of healthcare servicesamong regions and hospitals, Italy represents an interesting case study to test these effects. A two-stage Data Envelopment Analysis was employed, in which the efficiency scores of all Italian hospitals were first calculated and then regressed on different environmental variables to capture the role of reimbursement systems. The results found a significant impact of the use of Diagnostic-Related Group-based prospective payment systems on hospitals’ efficiency.

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  • Cavalieri, M. & Guccio, C. & Lisi, D. & Pignataro, G., 2015. "Does the Extent of Per-Case Payment System Affect Hospital Efficiency? Evidence from the Italian NHS," Health, Econometrics and Data Group (HEDG) Working Papers 15/29, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:15/29
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    Cited by:

    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. 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.
    3. Michele Bisceglia & Roberto Cellini & Luca Grilli, 2018. "Regional regulators in health care service under quality competition: A game theoretical model," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1821-1842, November.
    4. Germà Bel & Marc Esteve, 2018. "“Is Private Production of Hospital Services Cheaper than Public Production? A Meta-Regression of Public vs Private Costs and Efficiency for Hospitals”," IREA Working Papers 201824, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
    5. Yuxi Wang & Simone Ghislandi & Aleksandra Torbica, 2020. "Investigating the geographic disparity in quality of care: the case of hospital readmission after acute myocardial infarction in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1149-1168, November.
    6. Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).

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    More about this item

    Keywords

    hospital efficiency; Data Envelopment Analysis; prospective payment systems; hospital ownership type;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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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