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Multiple inequity in health care: An example from Brazil

Capelas Barbosa, E; Cookson, R; (2019) Multiple inequity in health care: An example from Brazil. Social Science & Medicine , 228 pp. 1-8. 10.1016/j.socscimed.2019.02.034. Green open access

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Abstract

The paper develops and illustrates a new multivariate approach to analysing inequity in health care. We measure multiple inequity in health care relating to multiple equity-relevant variables – including income, gender, ethnicity, rurality, insurance status and others – and decompose the contribution of each variable to multiple inequity. Our approach encompasses the standard bivariate approach as a special case in which there is only one equity-relevant variable, such as income. We illustrate through an application to physician visits in Brazil, using data from the Health and Health Care Supplement of the Brazilian National Household Sample Survey, comprising 391,868 individuals in the year 2008. We find that health insurance coverage and urban location both contribute more to multiple inequity than income. We hope this approach will help researchers and analysts shed light on the comparative size and importance of the many different inequities in health care of interest to decision makers, rather than focus narrowly on income-related inequity.

Type: Article
Title: Multiple inequity in health care: An example from Brazil
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.socscimed.2019.02.034
Publisher version: https://doi.org/10.1016/j.socscimed.2019.02.034
Language: English
Additional information: Copyright © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Brazil, Unfair inequality, Income-related inequality, Concentration curve
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research
URI: https://discovery.ucl.ac.uk/id/eprint/10069628
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