Dynamic network data envelopment analysis for university hospitals evaluation

Authors

  • Maria Stella de Castro Lobo Universidade Federal do Rio de Janeiro; Hospital Universitário Clementino Fraga Filho
  • Henrique de Castro Rodrigues Universidade Federal do Rio de Janeiro; Hospital Universitário Clementino Fraga Filho
  • Edgard Caires Gazzola André Universidade Federal do Rio de Janeiro; Instituto de Estudos em Saúde Coletiva
  • Jônatas Almeida de Azeredo Universidade Federal do Rio de Janeiro; Hospital Universitário Clementino Fraga Filho
  • Marcos Pereira Estellita Lins Universidade Federal do Rio de Janeiro; Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia; Departamento de Engenharia de Produção

DOI:

https://doi.org/10.1590/S1518-8787.2016050006022

Abstract

OBJECTIVE To develop an assessment tool to evaluate the efficiency of federal university general hospitals. METHODS Data envelopment analysis, a linear programming technique, creates a best practice frontier by comparing observed production given the amount of resources used. The model is output-oriented and considers variable returns to scale. Network data envelopment analysis considers link variables belonging to more than one dimension (in the model, medical residents, adjusted admissions, and research projects). Dynamic network data envelopment analysis uses carry-over variables (in the model, financing budget) to analyze frontier shift in subsequent years. Data were gathered from the information system of the Brazilian Ministry of Education (MEC), 2010-2013. RESULTS The mean scores for health care, teaching and research over the period were 58.0%, 86.0%, and 61.0%, respectively. In 2012, the best performance year, for all units to reach the frontier it would be necessary to have a mean increase of 65.0% in outpatient visits; 34.0% in admissions; 12.0% in undergraduate students; 13.0% in multi-professional residents; 48.0% in graduate students; 7.0% in research projects; besides a decrease of 9.0% in medical residents. In the same year, an increase of 0.9% in financing budget would be necessary to improve the care output frontier. In the dynamic evaluation, there was progress in teaching efficiency, oscillation in medical care and no variation in research. CONCLUSIONS The proposed model generates public health planning and programming parameters by estimating efficiency scores and making projections to reach the best practice frontier.

Published

2016-01-01

How to Cite

Lobo, M. S. de C., Rodrigues, H. de C., André, E. C. G., Azeredo, J. A. de, & Lins, M. P. E. (2016). Dynamic network data envelopment analysis for university hospitals evaluation . Revista De Saúde Pública, 50, 22. https://doi.org/10.1590/S1518-8787.2016050006022

Issue

Section

Prática de Saúde Pública