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Efficiency determinants and capacity issues in Brazilian for-profit hospitals

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  • Cláudia Araújo

    ()

  • Carlos Barros

    ()

  • Peter Wanke

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Abstract

This paper reports on the use of different approaches for assessing efficiency of a sample of major Brazilian for-profit hospitals. Starting out with the bootstrapping technique, several DEA estimates were generated, allowing the use of confidence intervals and bias correction in central estimates to test for significant differences in efficiency levels and input-decreasing/output-increasing potentials. The findings indicate that efficiency is mixed in Brazilian for-profit hospitals. Opportunities for accommodating future demand appear to be scarce and strongly dependent on particular conditions related to the accreditation and specialization of a given hospital. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Cláudia Araújo & Carlos Barros & Peter Wanke, 2014. "Efficiency determinants and capacity issues in Brazilian for-profit hospitals," Health Care Management Science, Springer, vol. 17(2), pages 126-138, June.
  • Handle: RePEc:kap:hcarem:v:17:y:2014:i:2:p:126-138
    DOI: 10.1007/s10729-013-9249-8
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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. Francesco Longo & Luigi Siciliani & Andrew Street, 2019. "Are cost differences between specialist and general hospitals compensated by the prospective payment system?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 7-26, February.
    3. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    4. Singh, Sanjeet, 2016. "Evaluation of world’s largest social welfare scheme: An assessment using non-parametric approach," Evaluation and Program Planning, Elsevier, vol. 57(C), pages 16-29.
    5. Camilla Mastromarco & Lenka Stastna & Jana Votapkova, 2019. "Efficiency of hospitals in the Czech Republic: Conditional efficiency approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 73-89, February.
    6. Yauheniya Varabyova & Carl Rudolf Blankart & Aleksandra Torbica & Jonas Schreyögg, 2017. "Comparing the Efficiency of Hospitals in Italy and Germany: Nonparametric Conditional Approach Based on Partial Frontier," Health Care Management Science, Springer, vol. 20(3), pages 379-394, September.
    7. Robert Stefko & Beata Gavurova & Kristina Kocisova, 2018. "Healthcare efficiency assessment using DEA analysis in the Slovak Republic," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    8. Ya Chen & Justin Wang & Joe Zhu & H. David Sherman & Shin-Yi Chou, 2019. "How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA," Annals of Operations Research, Springer, vol. 278(1), pages 77-99, July.
    9. Sommersguter-Reichmann, Margit & Stepan, Adolf, 2015. "The interplay between regulation and efficiency: Evidence from the Austrian hospital inpatient sector," Socio-Economic Planning Sciences, Elsevier, vol. 52(C), pages 10-21.
    10. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    11. Laura Botega & Mônica Viegas Andrade & Gilvan Ramalho Guedes, 2020. "Brazilian hospitals’ performance: an assessment of the unified health system (SUS)," Health Care Management Science, Springer, vol. 23(3), pages 443-452, September.

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    Keywords

    For-profit hospitals; DEA; Bootstrap; Brazil; Efficiency;

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