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Análisis de la eficiencia técnica en los hospitales del Sistema Nacional de Salud español

Overview of attention for article published in Gaceta Sanitaria, December 2016
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Title
Análisis de la eficiencia técnica en los hospitales del Sistema Nacional de Salud español
Published in
Gaceta Sanitaria, December 2016
DOI 10.1016/j.gaceta.2016.10.007
Pubmed ID
Authors

Carmen Pérez-Romero, M. Isabel Ortega-Díaz, Ricardo Ocaña-Riola, José Jesús Martín-Martín

Abstract

To analyse the technical efficiency and productivity of general hospitals in the Spanish National Health Service (NHS) (2010-2012) and identify explanatory hospital and regional variables. 230 NHS hospitals were analysed by data envelopment analysis for overall, technical and scale efficiency, and Malmquist index. The robustness of the analysis is contrasted with alternative input-output models. A fixed effects multilevel cross-sectional linear model was used to analyse the explanatory efficiency variables. The average rate of overall technical efficiency (OTE) was 0.736 in 2012; there was considerable variability by region. Malmquist index (2010-2012) is 1.013. A 23% variability in OTE is attributable to the region in question. Statistically significant exogenous variables (residents per 100 physicians, aging index, average annual income per household, essential public service expenditure and public health expenditure per capita) explain 42% of the OTE variability between hospitals and 64% between regions. The number of residents showed a statistically significant relationship. As regards regions, there is a statistically significant direct linear association between OTE and annual income per capita and essential public service expenditure, and an indirect association with the aging index and annual public health expenditure per capita. The significant room for improvement in the efficiency of hospitals is conditioned by region-specific characteristics, specifically aging, wealth and the public expenditure policies of each one.

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The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 20%
Student > Bachelor 18 14%
Student > Doctoral Student 12 9%
Professor 9 7%
Researcher 8 6%
Other 24 18%
Unknown 34 26%
Readers by discipline Count As %
Economics, Econometrics and Finance 20 15%
Medicine and Dentistry 19 15%
Nursing and Health Professions 14 11%
Business, Management and Accounting 13 10%
Engineering 11 8%
Other 14 11%
Unknown 40 31%