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Evaluating the performance of Brazilian university hospitals

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  • Yasar Ozcan
  • Marcos Lins
  • Maria Lobo
  • Angela da Silva
  • Roberto Fiszman
  • Basilio Pereira

Abstract

In order to demonstrate how DEA modeling can be helpful to aid decision making relative to the Brazilian Teaching Hospital Policy by means of hospital performance assessment, we develop a case study with 30 general hospitals linked to Brazilian Federal Universities. We consider data on medical care (Medical Model—MM), teaching and research (Teaching-Research Model—TRM) and use the software IDEAL (Interactive Data Envelopment Analysis Laboratory) as a tool for the units’ efficiency evaluation. IDEAL, developed in Brazil, is unique in providing a 3-D frontiers visualization, assisting in exploratory analysis and allowing a better understanding of the DEA modeling (envelopment and multiplier). Both models are input-oriented and each hospital is categorized according to its relative efficiency in the MM and TRM. In this phase, it is very important to discuss with the decision-makers the results and patterns of the DEA models. Finally, the modelling indicates the necessary changes for the inefficient units and generates recommendations for teaching ratios and public financing. Copyright Springer Science+Business Media, LLC 2010

Suggested Citation

  • Yasar Ozcan & Marcos Lins & Maria Lobo & Angela da Silva & Roberto Fiszman & Basilio Pereira, 2010. "Evaluating the performance of Brazilian university hospitals," Annals of Operations Research, Springer, vol. 178(1), pages 247-261, July.
    • Handle: RePEc:spr:annopr:v:178:y:2010:i:1:p:247-261:10.1007/s10479-009-0528-1
    DOI: 10.1007/s10479-009-0528-1
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    2. O'Neill, Liam & Rauner, Marion & Heidenberger, Kurt & Kraus, Markus, 2008. "A cross-national comparison and taxonomy of DEA-based hospital efficiency studies," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 158-189, September.
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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. Bana e Costa, Carlos A. & Soares de Mello, João Carlos C.B. & Angulo Meza, Lidia, 2016. "A new approach to the bi-dimensional representation of the DEA efficient frontier with multiple inputs and outputs," European Journal of Operational Research, Elsevier, vol. 255(1), pages 175-186.
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    7. Maria Cristina Gramani, 2014. "Inter-Regional Performance of the Public Health System in a High-Inequality Country," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-8, January.
    8. Castro Lobo, M.S. & Estellita Lins, M.P. & Menegolla, I.A., 2014. "A new approach to assess the performance of the Brazilian National Immunization Program (NIP)," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 49-56.
    9. García-Alonso, Carlos R. & Salvador-Carulla, Luis & Fernández-Rodríguez, Vicente, 2015. "Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areasAuthor-Name: Torres-Jiménez, Mercedes," European Journal of Operational Research, Elsevier, vol. 242(2), pages 525-535.
    10. Wen-Chih Chen, 2021. "On performance evaluation with a dual-role factor," Annals of Operations Research, Springer, vol. 304(1), pages 63-84, September.
    11. Mansour Zarrin, 2023. "A mixed-integer slacks-based measure data envelopment analysis for efficiency measuring of German university hospitals," Health Care Management Science, Springer, vol. 26(1), pages 138-160, March.
    12. Lobo, Maria Stella de Castro & Estellita Lins, Marcos Pereira & Rodrigues, Henrique de Castro & Soares, Gabriel Martins, 2022. "Planning feasible and efficient operational scenarios for a university hospital through multimethodology," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    13. Apostolos Christopoulos & Ioannis Dokas & Sofia Katsimardou & Eleftherios Spyromitros, 2022. "The Malmquist Productivity measure for UK-listed firms in the aftermath of the global financial crisis," Operational Research, Springer, vol. 22(2), pages 1617-1634, April.
    14. Nguyen, Hong Ngoc & O’Donnell, Christopher, 2023. "Estimating the cost efficiency of public service providers in the presence of demand uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1334-1348.
    15. 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.
    16. Akkan, Can & Karadayi, Melis Almula & Ekinci, Yeliz & Ülengin, Füsun & Uray, Nimet & Karaosmanoğlu, Elif, 2020. "Efficiency analysis of emergency departments in metropolitan areas," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    17. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.
    18. Kostas Kounetas & Fotis Papathanassopoulos, 2013. "How efficient are Greek hospitals? A case study using a double bootstrap DEA approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 979-994, December.
    19. Wanke, Peter & Araujo, Claudia & Tan, Yong & Antunes, Jorge & Pimenta, Roberto, 2023. "Efficiency in university hospitals: A genetic optimized semi-parametric production function," Operations Research Perspectives, Elsevier, vol. 10(C).
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    21. Yongjun Li & Xiyang Lei & Alec Morton, 2019. "Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals," Health Care Management Science, Springer, vol. 22(2), pages 215-228, June.

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