By the same authors

From the same journal

From the same journal

Multiple inequity in health care: An example from Brazil

Research output: Contribution to journalArticle

Author(s)

Department/unit(s)

Publication details

JournalSocial Science & Medicine
DateAccepted/In press - 22 Feb 2019
DateE-pub ahead of print (current) - 1 Mar 2019
Volume228
Number of pages8
Pages (from-to)1 - 8
Early online date1/03/19
Original languageEnglish

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.

Bibliographical note

© 2019 The Authors. Published by Elsevier Ltd.

    Research areas

  • Brazil, Unfair inequality, Income-related inequality, Concentration curve

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations