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dc.contributor.authorRydland, Håvard Thorsen
dc.contributor.authorFjær, Erlend Løvø
dc.contributor.authorEikemo, Terje Andreas
dc.contributor.authorHuijts, T.
dc.contributor.authorBambra, C
dc.contributor.authorWendt, C
dc.contributor.authorKulhánová, Ivana
dc.contributor.authorMartikainen, Pekka
dc.contributor.authorDibben, Chris
dc.contributor.authorKalediene, R
dc.contributor.authorBorrell, Carme
dc.contributor.authorLeinsalu, Mall
dc.contributor.authorBopp, Matthias
dc.contributor.authorMackenbach, Johan P.
dc.date.accessioned2021-09-14T08:42:35Z
dc.date.available2021-09-14T08:42:35Z
dc.date.created2020-09-28T14:29:42Z
dc.date.issued2020
dc.identifier.citationPLOS ONE. 2020, 15 (7), .en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/11250/2776389
dc.description.abstractBackground Educational inequalities in health and mortality in European countries have often been studied in the context of welfare regimes or political systems. We argue that the healthcare system is the national level feature most directly linkable to mortality amenable to healthcare. In this article, we ask to what extent the strength of educational differences in mortality amenable to healthcare vary among European countries and between European healthcare system types. Methods This study uses data on mortality amenable to healthcare for 21 European populations, covering ages 35–79 and spanning from 1998 to 2006. ISCED education categories are used to calculate relative (RII) and absolute inequalities (SII) between the highest and lowest educated. The healthcare system typology is based on the latest available classification. Meta-analysis and ANOVA tests are used to see if and how they can explain between-country differences in inequalities and whether any healthcare system types have higher inequalities. Results All countries and healthcare system types exhibited relative and absolute educational inequalities in mortality amenable to healthcare. The low-supply and low performance mixed healthcare system type had the highest inequality point estimate for the male (RII = 3.57; SII = 414) and female (RII = 3.18; SII = 209) population, while the regulation-oriented public healthcare systems had the overall lowest (male RII = 1.78; male SII = 123; female RII = 1.86; female SII = 78.5). Due to data limitations, results were not robust enough to make substantial claims about typology differences. Conclusions This article aims at discussing possible mechanisms connecting healthcare systems, social position, and health. Results indicate that factors located within the healthcare system are relevant for health inequalities, as inequalities in mortality amenable to medical care are present in all healthcare systems. Future research should aim at examining the role of specific characteristics of healthcare systems in more detail.en_US
dc.language.isoengen_US
dc.publisherPLOSen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEducational Inequalities in Mortality Amenable to Healthcare. A Comparison of European Healthcare Systemsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume15en_US
dc.source.journalPLOS ONEen_US
dc.source.issue7en_US
dc.identifier.doi10.1371/journal.pone.0234135
dc.identifier.cristin1834332
dc.description.localcodeCopyright: © 2020 Rydland et al. 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.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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