Literature DB >> 9080560

Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe.

J P Mackenbach1, A E Kunst.   

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.

Mesh:

Year:  1997        PMID: 9080560     DOI: 10.1016/s0277-9536(96)00073-1

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  404 in total

1.  The impact of area deprivation on differences in health: does the choice of the geographical classification matter?

Authors:  S A Reijneveld; R A Verheij; D H de Bakker
Journal:  J Epidemiol Community Health       Date:  2000-04       Impact factor: 3.710

2.  Mortality differences by parental social class from childhood to adulthood.

Authors:  T H Pensola; T Valkonen
Journal:  J Epidemiol Community Health       Date:  2000-07       Impact factor: 3.710

3.  Socioeconomic inequality in voting participation and self-rated health.

Authors:  T A Blakely; B P Kennedy; I Kawachi
Journal:  Am J Public Health       Date:  2001-01       Impact factor: 9.308

Review 4.  On the World Health Organisation's measurement of health inequalities.

Authors:  C Landmann Szwarcwald
Journal:  J Epidemiol Community Health       Date:  2002-03       Impact factor: 3.710

Review 5.  World Health Report 2000: how it removes equity from the agenda for public health monitoring and policy.

Authors:  P Braveman; B Starfield; H J Geiger
Journal:  BMJ       Date:  2001-09-22

6.  Trends in socioeconomic health inequalities in the Netherlands, 1981-1999.

Authors:  J A A Dalstra; A E Kunst; J J M Geurts; F J M Frenken; J P Mackenbach
Journal:  J Epidemiol Community Health       Date:  2002-12       Impact factor: 3.710

Review 7.  The social gradient in doctor-patient communication.

Authors:  Evelyn Verlinde; Nele De Laender; Stéphanie De Maesschalck; Myriam Deveugele; Sara Willems
Journal:  Int J Equity Health       Date:  2012-03-12

8.  Impact of upward social mobility on population mortality: analysis with routine data.

Authors:  Richard F Heller; Patrick McElduff; Richard Edwards
Journal:  BMJ       Date:  2002-07-20

Review 9.  Defining equity in health.

Authors:  P Braveman; S Gruskin
Journal:  J Epidemiol Community Health       Date:  2003-04       Impact factor: 3.710

10.  The impact of increasing health insurance coverage on disparities in mortality: health care reform in Colombia, 1998-2007.

Authors:  Ivan Arroyave; Doris Cardona; Alex Burdorf; Mauricio Avendano
Journal:  Am J Public Health       Date:  2013-01-17       Impact factor: 9.308

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