IDEAS home Printed from https://ideas.repec.org/a/pjm/journl/vxixy2014i2p75-94.html
   My bibliography  Save this article

Performance Analysis Of Brazilian Public And Philanthropic Hospitals (Análise Do Desempenho De Hospitais Públicos E Filantrópicos Brasileiros)

Author

Listed:
  • Antônio Artur de Souza

    (Department of Administrative Sciences, FACE/UFMG, Brazil)

  • Ewerton Alex Avelar

    (Department of Administrative Sciences, FACE/UFMG, Brazil)

  • Alisson Maciel de Faria Marques

    (Secretary of Health of Minas Gerais, Brazil)

  • Douglas Rafael Moreira

    (Université du Québec – École de Technologie Supérieure, Canada)

  • Osmar Ferreira da Silva

    (Department of Administrative Sciences, FACE/UFMG, Brazil)

  • Daniele Oliveira Xavier

    (Department of Administrative Sciences, FACE/UFMG, Brazil)

Abstract

This paper presents the results of a research that aimed at identifying optimal performance standards of Brazilian public and philanthropic hospitals. In order to carry out the analysis, a model based on Data Envelopment Analysis (DEA) was developed. We collected financial data from hospitals’ financial statements available on the internet, as well as operational data from the Information Technology Department of the Brazilian Public Health Care System – SUS (DATASUS). Data from 18 hospitals from 2007 to 2011 were analyzed. Our DEA model used both operational and financial indicators (variables). In order to develop this model, two indicators were considered inputs: Values (in Brazilian Reais) of Fixed Assets and Planned Capacity. On the other hand, the following indicators were considered outputs: Net Margin, Return on Assets and Institutional Mortality Rate. As regards the proposed model, there were five hospitals with optimal performance and four hospitals were considered inefficient, upon the analysis of the variables, considering the analyzed period. Analysis of the weights indicated the most relevant variables for determining efficiency and scale variable values, which is an important tool to aid the decision-making by hospital managers. Finally, the scale variables determined the returns on production, indicating that 14 hospitals work with scale diseconomies. This may indicate inefficiency in the resource management of the Brazilian public health-care system, by analyzing this set of proposed variables. Classification- JEL:

Suggested Citation

  • Antônio Artur de Souza & Ewerton Alex Avelar & Alisson Maciel de Faria Marques & Douglas Rafael Moreira & Osmar Ferreira da Silva & Daniele Oliveira Xavier, 2014. "Performance Analysis Of Brazilian Public And Philanthropic Hospitals (Análise Do Desempenho De Hospitais Públicos E Filantrópicos Brasileiros)," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 75-94.
    • Handle: RePEc:pjm:journl:v:xix:y:2014:i:2:p:75-94
    as

    Download full text from publisher

    File URL: https://ejms.iseg.ulisboa.pt/files/9_PJMS_Vol19_Issue2_Performance_analysis_of_Brazilian_public_hospitals.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Kao, Ling-Jing & Lu, Chi-Jie & Chiu, Chih-Chou, 2011. "Efficiency measurement using independent component analysis and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 210(2), pages 310-317, April.
    3. Sözen, Adnan & Alp, İhsan & Kilinc, Cuma, 2012. "Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 46(C), pages 192-202.
    4. Ouellette, Pierre & Vierstraete, Valerie, 2004. "Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector," European Journal of Operational Research, Elsevier, vol. 154(3), pages 755-763, May.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Hu, Hsin-Hui & Qi, Qinghui & Yang, Chih-Hai, 2012. "Analysis of hospital technical efficiency in China: Effect of health insurance reform," China Economic Review, Elsevier, vol. 23(4), pages 865-877.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.
    2. Xian‐Hui He & Yung‐ho Chiu & Tzu‐Han Chang & Liang‐Chun Lu & Shih‐Yung Chiu, 2021. "Analyzing hospital medical efficiency of administration and medical treatment in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1564-1578, September.
    3. Rize Jing & Tingting Xu & Xiaozhen Lai & Elham Mahmoudi & Hai Fang, 2019. "Technical Efficiency of Public and Private Hospitals in Beijing, China: A Comparative Study," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    4. Venkatesh, Anand & Kushwaha, Shivam, 2018. "Short and long-run cost efficiency in Indian public bus companies using Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 29-36.
    5. Guilhermina Rego & Rui Nunes & José Costa, 2010. "The challenge of corporatisation: the experience of Portuguese public hospitals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 367-381, August.
    6. Jingkai Yue & Ying Zhou & Jie Ning & Gang Yin & Yaping Wu & Junyi Li & Hongbing Tao, 2021. "Efficiency and productivity of county‐level traditional Chinese medicine hospitals in Hubei Province, China: A retrospective study based on 17 years of panel data," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(4), pages 1308-1325, July.
    7. 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.
    8. Tien-Hsiang Chang & Ling-Jing Kao & Tsung-Yin Ou & Hsin-Pin Fu, 2018. "A Hybrid Method to Measure the Operational Performance of Fast Food Chain Stores," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1269-1298, July.
    9. Audibert, Martine & Mathonnat, Jacky & Pelissier, Aurore & Huang, Xiao Xian & Ma, Anning, 2013. "Health insurance reform and efficiency of township hospitals in rural China: An analysis from survey data," China Economic Review, Elsevier, vol. 27(C), pages 326-338.
    10. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    11. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    12. Lee, Boon L. & Worthington, Andrew C., 2014. "Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 15-20.
    13. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    14. Mustafa Jahangoshai Rezaee & Abuzar Karimdadi & Hamidreza Izadbakhsh, 2019. "Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA," Health Care Management Science, Springer, vol. 22(3), pages 410-436, September.
    15. Leonardo Tomazeli Duarte & Alex Pincelli Mussio & Cristiano Torezzan, 2020. "Dealing with missing information in data envelopment analysis by means of low-rank matrix completion," Annals of Operations Research, Springer, vol. 286(1), pages 719-732, March.
    16. Muhammed Ordu & Hediye Kirli Akin & Eren Demir, 2021. "Healthcare systems and Covid19: Lessons to be learnt from efficient countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1476-1485, September.
    17. 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.
    18. L sara Fabr cia Rodrigues & Matheus Alves Madeira de Souza & Thamara Paula dos Santos Dias, 2017. "Performance Assessment of Brazilian Power Transmission and Distribution Segments using Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 14-23.
    19. Tarcisio Pedro Da Silva & Mauricio Leite & Jaqueline Carla Guse & Vanderlei Gollo, 2017. "Financial and economic performance of major Braziliancredit cooperatives," Contaduría y Administración, Accounting and Management, vol. 62(5), pages 5-6, Diciembre.
    20. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pjm:journl:v:xix:y:2014:i:2:p:75-94. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luís Mota de Castro, Tiago Cardão-Pito, Mark Crathorne (email available below). General contact details of provider: https://edirc.repec.org/data/isutlpt.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.