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Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe
Abstract
In this paper we review the available summary measures for the magnitude of socio-economic inequalities in health. Measures which have been used differ in a number of important respects, including (1) the measurement of "relative" or "absolute" differences; (2) the measurement of an "effect" of lower socio-economic status, or of the "total impact" of socio-economic inequalities in health upon the health status of the population; (3) simple versus sophisticated measurement techniques. Based on this analysis of summary measures which have previously been applied, eight different classes of summary measures can be distinguished. Because measures of "total impact" can be further subdivided on the basis of their underlying assumptions, we finally arrive at 12 types of summary measure. Each of these has its merits, and choice of a particular type of summary measure will depend partly on technical considerations, partly on one's perspective on socio-economic inequalities in health. In practice, it will often be useful to compare the results of several summary measures. These principles are illustrated with two examples: one on trends in the magnitude of inequalities in mortality by occupational class in Finland, and one on trends in the magnitude of inequalities in self-reported morbidity by level of education in the Netherlands.
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“The main variables used to measure the patients' SES in the selected articles were the patients' educational level, his/her income and his/her occupational status.(38,39)”
From Socio-economic status of the patient and doctor–patient communication: does it make a difference? (2005) · cites this paper as [38]
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Metadata
- Authors
- Mackenbach, J. P., & Kunst, A. E.
- Affiliations
- Erasmus University Rotterdam (NL)
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 1997-03
- Volume
- 44
- Issue
- 6
- Pages
- 757-771
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W2052654293
- Cited by
- 1,343
- References
- 31
- Citations by year
- 2026: 47 · 2025: 45 · 2024: 56 · 2023: 48 · 2022: 34 · 2021: 68 · 2020: 68 · 2019: 90 · 2018: 64 · 2017: 68 · 2016: 56 · 2015: 66 · 2014: 56 · 2013: 59 · 2012: 55
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Health › Public Health and Social Inequalities
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Keywords
- socioeconomic inequalities in health, summary measures, relative difference, absolute difference, occupational class, mortality, educational attainment, self-reported morbidity, Finland, Netherlands
- MeSH terms
- Europe, Finland, Health Services Research, Health Status, Humans, Models, Theoretical, Morbidity, Mortality, Netherlands, Occupations, Social Justice, Socioeconomic Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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