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

Standard

Multiple inequity in health care: An example from Brazil. / Barbosa, Estela Capelas; Cookson, Richard.

In: Social Science & Medicine, Vol. 228, 05.2019, p. 1 - 8.

Research output: Contribution to journalArticle

Harvard

Barbosa, EC & Cookson, R 2019, 'Multiple inequity in health care: An example from Brazil', Social Science & Medicine, vol. 228, pp. 1 - 8. https://doi.org/10.1016/j.socscimed.2019.02.034

APA

Barbosa, E. C., & Cookson, R. (2019). Multiple inequity in health care: An example from Brazil. Social Science & Medicine, 228, 1 - 8. https://doi.org/10.1016/j.socscimed.2019.02.034

Vancouver

Barbosa EC, Cookson R. Multiple inequity in health care: An example from Brazil. Social Science & Medicine. 2019 May;228:1 - 8. https://doi.org/10.1016/j.socscimed.2019.02.034

Author

Barbosa, Estela Capelas ; Cookson, Richard. / Multiple inequity in health care: An example from Brazil. In: Social Science & Medicine. 2019 ; Vol. 228. pp. 1 - 8.

Bibtex - Download

@article{7dc3582ec9b54e6d88c1836d812ec5b4,
title = "Multiple inequity in health care: An example from Brazil",
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.",
keywords = "Brazil, Concentration curve, Income-related inequality, Unfair inequality",
author = "Barbosa, {Estela Capelas} and Richard Cookson",
note = "{\circledC} 2019 The Authors. Published by Elsevier Ltd.",
year = "2019",
month = "5",
doi = "10.1016/j.socscimed.2019.02.034",
language = "English",
volume = "228",
pages = "1 -- 8",
journal = "Social Science & Medicine",
issn = "0277-9536",
publisher = "Elsevier Limited",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Multiple inequity in health care: An example from Brazil

AU - Barbosa, Estela Capelas

AU - Cookson, Richard

N1 - © 2019 The Authors. Published by Elsevier Ltd.

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

KW - Brazil

KW - Concentration curve

KW - Income-related inequality

KW - Unfair inequality

UR - http://www.scopus.com/inward/record.url?scp=85062512093&partnerID=8YFLogxK

U2 - 10.1016/j.socscimed.2019.02.034

DO - 10.1016/j.socscimed.2019.02.034

M3 - Article

VL - 228

SP - 1

EP - 8

JO - Social Science & Medicine

T2 - Social Science & Medicine

JF - Social Science & Medicine

SN - 0277-9536

ER -