Abstract
This paper assesses the economic efficiency of Brazilian general hospitals that provide inpatient care for the Unified Health System (SUS). We combined data envelopment analysis (DEA) and spatial analysis to identify predominant clusters, measure hospital inefficiency and analyze the spatial pattern of inefficiency throughout the country. Our findings pointed to a high level of hospital inefficiency, mostly associated with small size and distributed across all Brazilian states. Many of these hospitals could increase production and reduce inputs to achieve higher efficiency standards. These findings suggest room for optimization, but inequalities in access and the matching of demand and supply must be carefully considered in any attempt to reorganize the hospital system in Brazil.
Similar content being viewed by others
References
Anselin L. (2016). Local spatial autocorrelation clusters. The Center for Spatial Data Science. The University of Chicago. https://spatial.uchicago.edu/sites/spacial-data.uchicago.edu/files/6a_local_SA_r.pdf, accessed 15 February 2019
ANS. (2013). Ministério da Saúde. Brasil: National Agency of Suplementary health (ANS). Essential Hospital Indicators Datasheets. http://www.ans.gov.br/texto_lei_pdf.php?id=1575, accessed May 2018
Araújo C, Barros CP, Wanke P (2014) Efficiency determinants and capacity issues in Brazilian for-profit hospitals. Health Care Manag Sci 17(2):126–138
Avdic D (2016) Improving efficiency or impairing access? Health care consolidation and quality of care: evidence from emergency hospital closures in Sweden. J Health Econ 48:44–60
Banco Central do Brasil (2015). Exchange rate - R$/US$. Brasília. https://www3.bcb.gov.br/expectativas/publico/en/serieestatisticas, accessed January 2018
Bogetoft P, Otto L. (2010). Benchmarking with DEA, SFA, and R (Vol. 157).Springer Science & Business Media
Botega LA, Andrade MV, Guedes GR. 2020. Perfil dos Hospitais do Sistema Único de Saúde. Revista de Saúde Pública
Capps C, Dranove D, Lindrooth RC (2010) Hospital closure and economic efficiency. J Health Econ 29(1):87–109
Castro MSMD (2006) Desigualdades sociais no uso de internações hospitalares no Brasil: o que mudou entre 1998 e 2003. Ciência & Saúde Coletiva 11:987–998
Cesconetto A, Lapa JDS, Calvo MCM (2008) Avaliação da eficiência produtiva de hospitais do SUS de Santa Catarina, Brasil. Cadernos de Saúde Pública 24:2407–2417
Chen A, Hwang Y, Shao B (2005) Measurement and sources of overall and input inefficiencies: evidences and implications in hospital services. Eur J Oper Res 161(2):447–468
Collins C, Araujo J, Barbosa J (2000) Decentralising the health sector: issues in Brazil. Health Policy 52(2):113–127
Colombi R, Martini G, Vittadini G (2017) Determinants of transient and persistent hospital efficiency: the case of Italy. Health Econ 26:5–22
Cooper WW, Seiford LM, Zhu J. (2004). Data envelopment analysis.In handbook on data envelopment analysis (pp. 1–39). Springer, Boston, MA
Cooper WW, SeifordLM TK et al (2007) Some models and measures for evaluating performances with DEA: past accomplishments and future prospects. J Prod Anal 28(3):151–163
Czypionka T, Kraus M, Mayer S, Röhrling G (2014) Efficiency, ownership, and financing of hospitals: the case of Austria. Health Care Manag Sci 17(4):331–347
Ferraz C and Finan F. (2005). Reelection incentives and political corruption: evidence from Brazil’s municipal audit reports.University of California, Berkeley
Ferreira DC, Nunes AM, Marques RC (2018) Doctors, nurses, and the optimal scale size in the Portuguese public hospitals. Health Policy 122(10):1093–1100
Gonçalves AC, Noronha CP, Lins MP, Almeida RM (2007) Análise Envoltória de Dados na avaliação de hospitais públicos nas capitais brasileiras. Rev Saude Publica 41:427–435
Gragnolati M, Lindelow M, Couttolenc B. (2013). Twenty years of health system reform in Brazil: an assessment of the Sistema Único de Saúde. The World Bank
Herr A, Schmitz H, Augurzky B (2011) Profit efficiency and ownership of German hospitals. Health Econ 20(6):660–674
IBGE. (2015). Bases Cartográficas. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística (IBGE)https://mapas.ibge.gov.br/bases-e-referenciais/bases-cartograficas/malhas-digitais, accessed March 2019
La Forgia GM, Couttolenc BF. Hospital performance in Brazil: the search for excellence (English). Washington, DC: World Bank. 2008. Disponível em: http://documents.worldbank.org/curated/en/815061468015870054/Hospital-performance-in-Brazil-the-search-for-excellence
Lins ME, Lobo MSDC, Silva ACMD et al (2007) O uso da Análise Envoltória de Dados (DEA) para avaliação de hospitais universitários brasileiros. Ciência & Saúde Coletiva 12:985–998
Lins MPE, Netto SOA, Lobo MCS (2019) Multimethodology applied to the evaluation of healthcare in Brazilian municipalities. Health Care Manag Sci 22(2):197–214
Lobo MSC, Rodrigues HC, André ECG et al (2016) Análise envoltória de dados dinâmica em redes na avaliação de hospitais universitários. Rev Saude Publica 50:22–22
Longo F, Siciliani L, Gravelle H et al (2017) Do hospitals respond to rivals' quality and efficiency? A spatial panel econometric analysis. Health Econ 26:38–62
Lu GY, Wong DW (2008) An adaptive inverse-distance weighting spatial interpolation technique. Comput Geosci 34(9):1044–1055
Malachias I, Leles FAG, Pinto MAS et al. (2011). Plano Diretor de Regionalização da Saúde de Minas Gerais (PDR-MG). Belo Horizonte
Marinho A (2001) Estudo de eficiência em alguns hospitais públicos e privados com a geração de rankings. In: Texto para Discussão, (794). Econômica e Aplicada, Instituto de Pesquisa
Marinho A (2003) Avaliação da eficiência técnica nos serviços de saúde nos municípios do Estado do Rio de Janeiro. Rev Bras Econ 57(3):515–534
Mello L, Lago-Peñas S. (2013). Local government cooperation for joint provision: the experiences of Brazil and Spain with inter-municipal consortia. The challenge of local government size. Theoretical perspectives, international experience, and policy reform. Edward Elgar, Cheltenham, 221-241
Miller G and Babiarz KS. (2013). Pay-for-performance incentives in low-and middle-income country health programs (no. w18932). National Bureau of Economic Research
Ministério da Saúde. (2015a). Cadastro Nacional dos Estabelecimentos de Saúde. Rio de Janeiro: Ministério da Saúde, DATASUS. http://datasus.saude.gov.br/informacoes-de-saude/servicos2/transferencia-de-arquivos, accessed 30 August 2018
Ministério da Saúde. (2015b). Sistema de Informações Hospitalares. Rio de Janeiro: Ministério da Saúde, DATASUS. http://datasus.saude.gov.br/informacoes-de-saude/servicos2/transferencia-de-arquivos, accessed 30 August2018
Ministério da Saúde. (2017). Contas do SUS na Perspectiva da Contabilidade Internacional – Brasil, 2010–2014
Mosca I (2007) Decentralization as a determinant of health care expenditure: empirical analysis for OECD countries. Appl Econ Lett 14(7):511–515
O'Dwyer G, Konder MT, Machado CV et al (2013) The current scenario of emergency care policies in Brazil. BMC Health Serv Res 13(1):70
OECD. (2015). Health at a glance 2011. OECD indicators, OECD publishing, Paris. https://doi.org/10.1787/health_glance-2015-en, accessed February, 15, 2016
Pires MBN, Oliveira R, Alcantara CCV, Abbas K (2017) A Relação entre a Remuneração do Sistema Único de Saúde, os Custos dos Procedimentos Hospitalares e o Resultado: Estudo nas Santas Casas de Misericórdia do Estado de São Paulo. RAHIS 14(3)
Rocha TAH, Silva NCD, Barbosa ACQ, Amaral PV, Thumé E, Rocha JV, Alvares V, Facchini LA (2018) National registry of health facilities: data reliability evidence. Ciencia & Saúde Coletiva 23(1):229–240
Rodrigues JM, Torres HOG, Barbosa ACQ et al. (2016). Gestão de Recursos Humanos e desempenho hospitalar na perspectiva da eficiência: um estudo em hospitais brasileiros de pequeno porte. Universidade Federal de Minas Gerais
Schmitt M (2017) Do hospital mergers reduce costs? J Health Econ 52:74–94
Sherman HD. (1984). Hospital efficiency measurement and evaluation: empirical test of a new technique. Med Care, 922–938
Sherman HD, Zhu J. (2006). Service productivity management: improving service performance using data envelopment analysis (DEA). Springer Science & Business Media
Souza IV, Nishijima M, Rocha F (2010) Eficiência do setor hospitalar nos municípios paulistas. Economia Aplicada 14(1):51–66
Silva SAD, Valácio RA, Botelho FC, Amaral CFS (2014) Reasons for discharge delays in teaching hospitals. Revista de saude publica 48(2):314–321
Souza PCD, Scatena JHG, Kehrig RT (2016) Aplicação da Análise Envoltória de Dados para avaliar a eficiência de hospitais do SUS em Mato Grosso. Physis: Revista de Saúde Coletiva 26:289–308
Varabyova Y, Schreyögg J (2013) International comparisons of the technical efficiency of the hospital sector: panel data analysis of OECD countries using parametric and non-parametric approaches. Health Policy 112(1–2):70–79
World Bank (2018) Propostas de Reformas do Sistema Único de Saúde Brasileiro – Uma nota de política econômica, working paper. World Bank, Brasília
Werner RM, Kolstad JT, Stuart EA, Polsky D (2011) The effect of pay-for-performance in hospitals: lessons for quality improvement. Health Aff 30(4):690–698
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Highlights
• This is the first study to estimate technical and scale efficiency using Data Envelopment Analysis for all Brazilian general hospitals.
• Brazilian hospitals operate, on average, on low levels of technical and scale efficiency, but efficiency varies by hospital size and by healthcare provider.
• Most of the hospitals operate on increasing returns to scale, suggesting that there is room for resources optimization.
• Hospital inefficiency can be found in units across all Brazilian states.
• Municipalities with higher levels of human development concentrate a larger share of hospitals with higher technical efficiency.
Electronic supplementary material
ESM 1
(DOCX 19 kb)
Rights and permissions
About this article
Cite this article
de Almeida Botega, L., Andrade, M.V. & Guedes, G.R. Brazilian hospitals’ performance: an assessment of the unified health system (SUS). Health Care Manag Sci 23, 443–452 (2020). https://doi.org/10.1007/s10729-020-09505-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10729-020-09505-5