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      Measurement of social inequalities in health: concepts and methodological approaches in the Brazilian context *

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          Abstract

          This study aims to describe methodological approaches to measure and monitor health inequalities and to illustrate their applicability. The measures most frequently used in the literature were reviewed. Data on coverage and quality of antenatal care in Brazil, from the Demographic and Maternal and Child Health Survey (PNDS-2006) and from the National Health Survey (PNS2013), were used to illustrate their applicability. Absolute and relative measures of inequalities were presented, highlighting their complementary character. Despite the progress achieved at national level in antenatal care, important inequalities were still identified between population subgroups, with no change in the magnitude of the differences throughout the studied period. Brazil has important social inequalities, which consequently lead to health inequalities. Their description and monitoring are highly relevant to support polices focused on those vulnerable population groups who have been left behind.

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          Most cited references39

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          Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

          Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India

            Using data from India, we estimate the relationship between household wealth and children’s school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children’s enrollment across Indian states. On average a “rich” child is 31 percentage points more likely to be enrolled than a “poor” child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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              Explaining trends in inequities: evidence from Brazilian child health studies.

              There is considerable international concern that child-health inequities seem to be getting worse between and within richer and poorer countries. The "inverse equity hypothesis" is proposed to explain how such health inequities may get worse, remain the same, or improve over time. We postulate that as new public-health interventions and programmes initially reach those of higher socioeconomic status and only later affect the poor, there are early increases in inequity ratios for coverage, morbidity, and mortality indicators. Inequities only improve later when the rich have achieved new minimum achievable levels for morbidity and mortality and the poor gain greater access to the interventions. The hypothesis was examined using three epidemiological data sets for time trends in child-health inequities within Brazil. Time trends for inequity ratios for morbidity and mortality, which were consistent with the hypothesis, showed both improvements and deterioration over time, despite the indicators showing absolute improvements in health status between rich and poor.
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                Author and article information

                Journal
                Epidemiol Serv Saude
                Epidemiol Serv Saude
                ESS
                Epidemiologia E Servicos De Saude
                Applications Of Epidemiology
                1679-4974
                2237-9622
                05 April 2018
                2018
                : 27
                : 1
                : e000100017
                Affiliations
                [1 ]Universidade Federal de Pelotas, Programa de Pós-graduação em Epidemiologia, Centro Internacional de Equidade em Saúde, Pelotas, RS, Brasil
                Author notes
                Correspondence: Inácio Crochemore M da Silva – Rua Marechal Deodoro, No. 1.160, 3º piso, Centro, Pelotas, RS, Brasil. CEP: 96020-220, Caixa Postal: 464 E-mail: icmsilva@ 123456equidade.org
                [*]

                This article was developed within the framework of the International Center on Health Equality of the Federal University of Pelotas, with the support of the Wellcome Trust [Grant Number 101815/Z/13/Z]; Bill & Melinda Gates Foundation [Grant: OPP1135522] and the Brazilian Association of Public Health (Abrasco).

                Article
                ESS-27-01-000100017
                10.5123/S1679-49742018000100017
                7705122
                29513856
                6188b956-bcbb-417c-80f9-7ecb842193b2
                © 2018

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Categories
                Applications of Epidemiology

                health inequalities/methods,socioeconomic factors,measurements,methods and theories

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