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Article: Transnational wealth-related health inequality measurement

TitleTransnational wealth-related health inequality measurement
Authors
KeywordsHousehold Asset Index
Hispaniola
Health Inequalities
Demographic and Health Surveys
Transnational Analysis
Issue Date2018
Citation
SSM - Population Health, 2018, v. 6, p. 259-275 How to Cite?
Abstract© 2018 The Authors The study of international differences in wealth-related health inequalities has traditionally consisted of country-by-country comparisons using own-country relative measures of socioeconomic status, which effectively ignores absolute differences in both wealth and health that can differ between and within countries. To address these limitations, we propose an alternative approach: that of constructing a transnational measure of wealth-related health inequality. To illustrate the limitations of the country-by-country approach, we simulate the impact of changes in wealth and health inequalities both between and within countries on cross-country measures of health inequality and find at least five errors that may arise using country-by-country methods. We then empirically demonstrate the transnational approach to wealth-related health inequalities between and within Haiti and the Dominican Republic, the two constituent countries of the island of Hispaniola, using data from their respective Demographic and Health Surveys. Transnational socioeconomic rankings reveal a large and increasing divergence in wealth between the two countries, which would be ignored using the county-by-country approach. We find that wealth-related inequalities in long-term children's health outcomes are larger than inequalities in short-term health outcomes, and decompositions of the influence of place-based variables on these inequalities reveal country of residence to be the most important factor for long-term outcomes, while urban/rural residence and subnational regions are more important for short-term health outcomes. The significance of this novel methodological approach in relation to conventional health inequality research, including hidden dimensions of wealth-related health inequalities, for example the urbanized “middle class” distribution of HIV and a hidden unequal burden of wasting among children uncovered by the transnational approach are discussed, and errors in gauging changes in inequality over time using a country-by-country approach are highlighted. Using the transnational approach can help to measure important trends in wealth-related health inequalities across countries that more commonly used methods traditionally overlook.
Persistent Identifierhttp://hdl.handle.net/10722/280689
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPoirier, Mathieu J.P.-
dc.contributor.authorGrignon, Michel-
dc.contributor.authorGrépin, Karen A.-
dc.contributor.authorDion, Michelle L.-
dc.date.accessioned2020-02-17T14:34:41Z-
dc.date.available2020-02-17T14:34:41Z-
dc.date.issued2018-
dc.identifier.citationSSM - Population Health, 2018, v. 6, p. 259-275-
dc.identifier.urihttp://hdl.handle.net/10722/280689-
dc.description.abstract© 2018 The Authors The study of international differences in wealth-related health inequalities has traditionally consisted of country-by-country comparisons using own-country relative measures of socioeconomic status, which effectively ignores absolute differences in both wealth and health that can differ between and within countries. To address these limitations, we propose an alternative approach: that of constructing a transnational measure of wealth-related health inequality. To illustrate the limitations of the country-by-country approach, we simulate the impact of changes in wealth and health inequalities both between and within countries on cross-country measures of health inequality and find at least five errors that may arise using country-by-country methods. We then empirically demonstrate the transnational approach to wealth-related health inequalities between and within Haiti and the Dominican Republic, the two constituent countries of the island of Hispaniola, using data from their respective Demographic and Health Surveys. Transnational socioeconomic rankings reveal a large and increasing divergence in wealth between the two countries, which would be ignored using the county-by-country approach. We find that wealth-related inequalities in long-term children's health outcomes are larger than inequalities in short-term health outcomes, and decompositions of the influence of place-based variables on these inequalities reveal country of residence to be the most important factor for long-term outcomes, while urban/rural residence and subnational regions are more important for short-term health outcomes. The significance of this novel methodological approach in relation to conventional health inequality research, including hidden dimensions of wealth-related health inequalities, for example the urbanized “middle class” distribution of HIV and a hidden unequal burden of wasting among children uncovered by the transnational approach are discussed, and errors in gauging changes in inequality over time using a country-by-country approach are highlighted. Using the transnational approach can help to measure important trends in wealth-related health inequalities across countries that more commonly used methods traditionally overlook.-
dc.languageeng-
dc.relation.ispartofSSM - Population Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectHousehold Asset Index-
dc.subjectHispaniola-
dc.subjectHealth Inequalities-
dc.subjectDemographic and Health Surveys-
dc.subjectTransnational Analysis-
dc.titleTransnational wealth-related health inequality measurement-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.ssmph.2018.10.009-
dc.identifier.pmid30426063-
dc.identifier.pmcidPMC6222170-
dc.identifier.scopuseid_2-s2.0-85055869377-
dc.identifier.volume6-
dc.identifier.spage259-
dc.identifier.epage275-
dc.identifier.eissn2352-8273-
dc.identifier.isiWOS:000451177600027-
dc.identifier.issnl2352-8273-

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