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Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model

Hiroyuki Kawaguchi (), Kaoru Tone and Miki Tsutsui

Health Care Management Science, 2014, vol. 17, issue 2, 112 pages

Abstract: The purpose of this study was to perform an interim evaluation of the policy effect of the current reform of Japan’s municipal hospitals. We focused on efficiency improvements both within hospitals and within two separate internal hospital organizations. Hospitals have two heterogeneous internal organizations: the medical examination division and administration division. The administration division carries out business management and the medical-examination division provides medical care services. We employed a dynamic-network data envelopment analysis model (DN model) to perform the evaluation. The model makes it possible to simultaneously estimate both the efficiencies of separate organizations and the dynamic changes of the efficiencies. This study is the first empirical application of the DN model in the healthcare field. Results showed that the average overall efficiency obtained with the DN model was 0.854 for 2007. The dynamic change in efficiency scores from 2007 to 2009 was slightly lower. The average efficiency score was 0.862 for 2007 and 0.860 for 2009. The average estimated efficiency of the administration division decreased from 0.867 for 2007 to 0.8508 for 2009. In contrast, the average efficiency of the medical-examination division increased from 0.858 for 2007 to 0.870 for 2009. We were unable to find any significant improvement in efficiency despite the reform policy. Thus, there are no positive policy effects despite the increased financial support from the central government. Copyright The Author(s) 2014

Keywords: Dynamic and network data envelopment analysis model; Municipal hospital; Efficiency; Production function; 90B10 network models; Deterministic; 90B30 production models; 91B82 statistical methods; Economic indices and measures (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10729-013-9248-9

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