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Financial crisis and income-related inequalities in the universal provision of a public service: the case of healthcare in Spain

Overview of attention for article published in International Journal for Equity in Health, July 2017
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Title
Financial crisis and income-related inequalities in the universal provision of a public service: the case of healthcare in Spain
Published in
International Journal for Equity in Health, July 2017
DOI 10.1186/s12939-017-0630-y
Pubmed ID
Authors

Ignacio Abásolo, Marc Saez, Guillem López-Casasnovas

Abstract

The objective of this paper is to analyse whether the recent recession has altered health care utilisation patterns of different income groups in Spain. Based on information concerning individuals 'income and health care use, along with health need indicators and demographic characteristics (provided by the Spanish National Health Surveys from 2006/07 and 2011/12), econometric models are estimated in two parts (mixed logistic regressions and truncated negative binominal regressions) for each of the public health services studied (family doctor appointments, appointments with specialists, hospitalisations, emergencies and prescription drug use). The results show that the principle of universal access to public health provision does not in fact prevent a financial crisis from affecting certain income groups more than others in their utilisation of public health services. Specifically, in relative terms the recession has been more detrimental to low-income groups in the cases of specialist appointments and hospitalisations, whereas it has worked to their advantage in the cases of emergency services and family doctor appointments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Student > Ph. D. Student 8 12%
Researcher 5 8%
Professor 4 6%
Librarian 3 5%
Other 14 22%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Social Sciences 8 12%
Economics, Econometrics and Finance 8 12%
Nursing and Health Professions 6 9%
Business, Management and Accounting 4 6%
Other 6 9%
Unknown 22 34%