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Determinants of Nursing Homes Performance: The Case of Portuguese Santas Casas da Misericórdia

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Operational Research (APDIO 2017)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 223))

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Abstract

This study aims to evaluate the economic efficiency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that influenced their efficiency in 2012 and 2013. The SCM are the oldest non-profit entities, which belong to Third Sector in Portugal, provide this social response and receive significant financial contributions annually from the state. The study is developed in two stages. In the first stage, the efficiency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the effect of certain organizational variables on efficiency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the efficiency average is 81.9%, and only 10 out of 96 Nursing Homes are efficient. Tobit regression shows that the number of users has a positive effect on the efficiency of Nursing Homes, whereas the existence of Nursing Home chains affects their efficiency negatively.

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Notes

  1. 1.

    There is no information available for previous years.

  2. 2.

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Acknowledgments

This work is financed by the ERDF − European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project “POCI-01-0145-FEDER-006961”, and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia as part of project “UID/EEA/50014/2013”.

Author information

Authors and Affiliations

  1. Polytechnic Institute of Bragança, Bragança, Portugal

    André S. Veloso

  2. Centre for Management and Industrial Engineering (CEGI/INESC TEC), Polytechnic Institute of Bragança, Bragança, Portugal

    Clara Bento Vaz

  3. OBEGEF/UNIAG; Polytechnic Institute of Bragança, Bragança, Portugal

    Jorge Alves

Authors
  1. André S. Veloso
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  2. Clara Bento Vaz
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  3. Jorge Alves
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Corresponding author

Correspondence to André S. Veloso .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Minho, School of Engineering, Braga, Portugal

    A. Ismael F. Vaz

  2. Department of Mathematics and LIAAD-INESC TEC, Polytechnic Institute of Bragança, School of Technology and Management, Bragança, Portugal

    João Paulo Almeida

  3. INESC TEC - Faculty of Engineering, University of Porto, INESC TEC - Faculty of Engineering, Porto, Portugal

    José Fernando Oliveira

  4. Department of Mathematics, University of Porto, Department of Mathematics, Porto, Portugal

    Alberto Adrego Pinto

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Veloso, A.S., Vaz, C.B., Alves, J. (2018). Determinants of Nursing Homes Performance: The Case of Portuguese Santas Casas da Misericórdia. In: Vaz, A., Almeida, J., Oliveira, J., Pinto, A. (eds) Operational Research. APDIO 2017. Springer Proceedings in Mathematics & Statistics, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-71583-4_26

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