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Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach

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  • Juan Du

    ()

  • Justin Wang

    ()

  • Yao Chen

    ()

  • Shin-Yi Chou

    ()

  • Joe Zhu

    ()

Abstract

The health care sector is one of the fastest growing sectors in the United States. Researchers are interested in conducting studies in the area of health economics in order to propose solutions to curb the rapid increase in health care spending and to improve the efficiency of the health care system in the United States. Specifically, hospital efficiency is one important research area in health economics. In this paper, data envelopment analysis (DEA) is used to assess hospital efficiency. An additive super-efficiency model is presented and applied to a sample of general acute care hospitals in Pennsylvania. In addition to the conventional choice of input and output variables, we include the survival rate as a quality measure of health outcome in the set of output variables. Thus our model takes both the quantity and the quality of the output into account. With the results obtained from our proposed DEA model, inefficiencies can be identified for hospitals to address without sacrificing the quality of care. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Juan Du & Justin Wang & Yao Chen & Shin-Yi Chou & Joe Zhu, 2014. "Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach," Annals of Operations Research, Springer, vol. 221(1), pages 161-172, October.
  • Handle: RePEc:spr:annopr:v:221:y:2014:i:1:p:161-172:10.1007/s10479-011-0838-y
    DOI: 10.1007/s10479-011-0838-y
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    References listed on IDEAS

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    1. Grosskopf, Shawna & Margaritis, Dimitri & Valdmanis, Vivian, 2004. "Competitive effects on teaching hospitals," European Journal of Operational Research, Elsevier, vol. 154(2), pages 515-525, April.
    2. Bruce Hollingsworth & P.J. Dawson & N. Maniadakis, 1999. "Efficiency measurement of health care: a review of nonā€parametric methods and applications," Health Care Management Science, Springer, vol. 2(3), pages 161-172, July.
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    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. G D Ferrier & V G Valdmanis, 2004. "Do mergers improve hospital productivity?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1071-1080, October.
    6. J Harris & H Ozgen & Y Ozcan, 2000. "Do mergers enhance the performance of hospital efficiency?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 801-811, July.
    7. Du, Juan & Liang, Liang & Zhu, Joe, 2010. "A slacks-based measure of super-efficiency in data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 204(3), pages 694-697, August.
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