Literature DB >> 27129613

Public resource usage in health systems: a data envelopment analysis of the efficiency of health systems of autonomous communities in Spain.

M S Campos1, A Fernández-Montes2, J M Gavilan3, F Velasco4.   

Abstract

OBJECTIVES: The efficiency in the management of public resources is one of the main pillars of the welfare state. The objective of this work is to analyze the efficiency of the public resources that regional governments in Spain (Autonomous Communities (AC)) invest in health systems (HS). STUDY
DESIGN: A dataset from of the Ministry of Health, Social Services and Equality of Spain has been used, which contains the most important indicators from the National HS. The following variables have been chosen in this study: the health care expenses per resident, the percentage of this investment that is forwarded to labour expenses, frequency of hospital care services, frequency of specialized external health care services and, primary health care services in medicine and nursing per resident.
METHODS: To this end, Data Envelopment Analysis (DEA) is applied, which enables researchers and managers to obtain measurements of efficiency of the analyzed regions, and to propose corrective steps to achieve efficiency for inefficient HS. Moreover, the super-efficiency measurement is shown for a constant and a variable scale.
RESULTS: The results show that there are three groups of AC, first a group composed by six HS that are globally efficient, a second group composed by eight HS that are globally inefficient, and a third group composed by three HS that are efficient in some terms and their efficiency can be improved.
CONCLUSIONS: It is concluded that DEA is an appropriate method for evaluating efficiencies of health systems and giving the adjustments for the application of economic, social and organizational policies to improve their efficiencies.
Copyright © 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autonomous communities; DEA; Efficiency; Public health; Public resources

Mesh:

Year:  2016        PMID: 27129613     DOI: 10.1016/j.puhe.2016.03.003

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


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