Barbosa, Estela Capelas and Cookson, Richard orcid.org/0000-0003-0052-996X (2019) Multiple inequity in health care: An example from Brazil. Social Science & Medicine. 1 - 8. ISSN 1873-5347
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. Published by Elsevier Ltd. |
Keywords: | Brazil,Concentration curve,Income-related inequality,Unfair inequality |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) |
Depositing User: | Pure (York) |
Date Deposited: | 12 Mar 2019 11:00 |
Last Modified: | 16 Oct 2024 15:33 |
Published Version: | https://doi.org/10.1016/j.socscimed.2019.02.034 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.socscimed.2019.02.034 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143562 |
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