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Complexity of Treatment, and Changes in Efficiency and Productivity for Directly Managed Italian Hospitals

Author

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  • PINTO, Claudio

    (CELPE - Centre of Labour Economics and Economic Policy, University of Salerno - Italy)

Abstract

Background: Data envelopment analysis (DEA) and the Malmquist index are frequently used in the hospital sector to measure efficiency. However, very few works are published for Italian hospitals, despite the fact that efficiency was the main driver guiding healthcare reform in the 1990s. Objectives: The objective of this study is derive technical efficiency and change in productivity of the Local Health Trust (LHT) in directly managed Italian hospitals. We will also explore whether the complexity of treated hospitals cases influences technical efficiency. Methods/approaches: The DEA technique and DEA-Malmquist index are used to derive technical efficiency, and changes in productivity and efficiency, for directly managed hospitals in Italy's public healthcare system. To control for the influence of the complexity of the treated cases on the technical efficiency, two DEA input models are examined. One of these models, weighs outputs with a case mix index (CMI) as a measure of the complexity of hospital treatment. Results: The results show that efficiency in the model not adjusted is on average 79,52% compared to 81,55 % efficiency in Model B (output adjusted with CMI), in efficiency level. In mean complexity of treatment, as measured with CMI, influence technical efficiency, as indicate in Table 5 and 6. Statistics tests reveal differences in the efficiency score distribution for Model A and Model B (adjusted). The influence of complexity of treatment on technical efficiency analysis, has hospital individual relevance. The Malmquist index reveals productivity improvement for 7 out of the 8 periods measured. Technical efficiency change is positive (improvement) between 2000 and 2005, and fall in 2006 and 2007. Technological change is positive in 1999-2000, 2000-2001, 2002-2003, 2005-2006, 2006-2007. Scale efficiency improves in 2000-2001, 2001-2002,2003-2004, 2004-2005. Practical implications: Between 1999 and 2007, for the sample, improved productivity was examined and attributed to an input reduction of the same output. This could mean that the reforms that took place in the 1990s were successful and that this direction is worth further pursuit. In light of these findings, one must make policy recommendations with caution, despite the fact, the complexity of treatments influence technical efficiency, hence the proportional reduction of the inputs vector.

Suggested Citation

  • PINTO, Claudio, 2013. "Complexity of Treatment, and Changes in Efficiency and Productivity for Directly Managed Italian Hospitals," CELPE Discussion Papers 124, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
    • Handle: RePEc:sal:celpdp:0124
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    References listed on IDEAS

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    1. Roberto Cellini & Giacomo Pignataro & Ilde Rizzo, 2000. "Competition and Efficiency in Health Care: An Analysis of the Italian Case," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 7(4), pages 503-519, August.
    2. Aletras, Vassilios & Kontodimopoulos, Nick & Zagouldoudis, Athanasios & Niakas, Dimitris, 2007. "The short-term effect on technical and scale efficiency of establishing regional health systems and general management in Greek NHS hospitals," Health Policy, Elsevier, vol. 83(2-3), pages 236-245, October.
    3. Alessandro Schiavone, 2008. "Technical efficiency of Italian public hospitals," Questioni di Economia e Finanza (Occasional Papers) 29, Bank of Italy, Economic Research and International Relations Area.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. António Afonso & Sónia Fernandes, 2008. "Assessing Hospital Efficiency: Non-parametric Evidence for Portugal," Working Papers Department of Economics 2008/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    6. Dino Rizzi & Vincenzo Rebba, 2006. "Measuring Hospital Efficiency through Data Envelopment Analysis when Policy-makers� Preferences Matter. An Application to a sample of Italian NHS hospitals," Working Papers 2006_13, Department of Economics, University of Venice "Ca' Foscari".
    7. Eddy Adang & George Borm, 2007. "Is there an association between economic performance and public satisfaction in health care?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(3), pages 279-285, September.
    8. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
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    More about this item

    Keywords

    Technical Efficiency; Productivity; Data Envelopment Analysis; DEA-Malmquist Index; Case Mix Index; Directly Managed Hospitals;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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