Skip to main content
Top
Published in: International Journal for Equity in Health 1/2007

Open Access 01-12-2007 | Research

Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health

Authors: Tanja AJ Houweling, Anton E Kunst, Martijn Huisman, Johan P Mackenbach

Published in: International Journal for Equity in Health | Issue 1/2007

Login to get access

Abstract

Background

As reducing socio-economic inequalities in health is an important public health objective, monitoring of these inequalities is an important public health task. The specific inequality measure used can influence the conclusions drawn, and there is no consensus on which measure is most meaningful. The key issue raising most debate is whether to use relative or absolute inequality measures. Our paper aims to inform this debate and develop recommendations for monitoring health inequalities on the basis of empirical analyses for a broad range of developing countries.

Methods

Wealth-group specific data on under-5 mortality, immunisation coverage, antenatal and delivery care for 43 countries were obtained from the Demographic and Health Surveys. These data were used to describe the association between the overall level of these outcomes on the one hand, and relative and absolute poor-rich inequalities in these outcomes on the other.

Results

We demonstrate that the values that the absolute and relative inequality measures can take are bound by mathematical ceilings. Yet, even where these ceilings do not play a role, the magnitude of inequality is correlated with the overall level of the outcome. The observed tendencies are, however, not necessities. There are countries with low mortality levels and low relative inequalities. Also absolute inequalities showed variation at most overall levels.

Conclusion

Our study shows that both absolute and relative inequality measures can be meaningful for monitoring inequalities, provided that the overall level of the outcome is taken into account. Suggestions are given on how to do this. In addition, our paper presents data that can be used for benchmarking of inequalities in the field of maternal and child health in low and middle-income countries.
Appendix
Available only for authorised users
Literature
1.
go back to reference Mackenbach JP, Kunst AE, Cavelaars AE, Groenhof F, Geurts JJ: Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health. Lancet. 1997, 349 (9066): 1655-9. 10.1016/S0140-6736(96)07226-1.CrossRefPubMed Mackenbach JP, Kunst AE, Cavelaars AE, Groenhof F, Geurts JJ: Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health. Lancet. 1997, 349 (9066): 1655-9. 10.1016/S0140-6736(96)07226-1.CrossRefPubMed
2.
go back to reference Mackenbach JP, Bos V, Andersen O, Cardano M, Costa G, Harding S, Reid A, Hemstrom O, Valkonen T, Kunst AE: Widening socioeconomic inequalities in mortality in six Western European countries. Int J Epidemiol. 2003, 32 (5): 830-837. 10.1093/ije/dyg209.CrossRefPubMed Mackenbach JP, Bos V, Andersen O, Cardano M, Costa G, Harding S, Reid A, Hemstrom O, Valkonen T, Kunst AE: Widening socioeconomic inequalities in mortality in six Western European countries. Int J Epidemiol. 2003, 32 (5): 830-837. 10.1093/ije/dyg209.CrossRefPubMed
3.
go back to reference World Health Organization: Health21: The health for all policy framework for the WHO European Region. European Health for All Series; No 6. 1999, Copenhagen: WHO Regional Office for Europe World Health Organization: Health21: The health for all policy framework for the WHO European Region. European Health for All Series; No 6. 1999, Copenhagen: WHO Regional Office for Europe
4.
go back to reference Mackenbach JP, Kunst AE: Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997, 44 (6): 757-71. 10.1016/S0277-9536(96)00073-1.CrossRefPubMed Mackenbach JP, Kunst AE: Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997, 44 (6): 757-71. 10.1016/S0277-9536(96)00073-1.CrossRefPubMed
5.
go back to reference Clarke PM, Gerdtham UG, Johannesson M, Bingefors K, Smith L: On the measurement of relative and absolute income-related health inequality. Soc Sci Med. 2002, 55 (11): 1923-8. 10.1016/S0277-9536(01)00321-5.CrossRefPubMed Clarke PM, Gerdtham UG, Johannesson M, Bingefors K, Smith L: On the measurement of relative and absolute income-related health inequality. Soc Sci Med. 2002, 55 (11): 1923-8. 10.1016/S0277-9536(01)00321-5.CrossRefPubMed
6.
go back to reference Boström G, Rosén M: Measuring social inequalities in health – politics or science?. Scand J Public Health. 2003, 31 (3): 211-5. 10.1080/14034940210164911.CrossRefPubMed Boström G, Rosén M: Measuring social inequalities in health – politics or science?. Scand J Public Health. 2003, 31 (3): 211-5. 10.1080/14034940210164911.CrossRefPubMed
7.
go back to reference Scanlan JP: Race and Mortality. Society. 2000, January/February: Scanlan JP: Race and Mortality. Society. 2000, January/February:
8.
go back to reference Victora CG, Vaughan JP, Barros FC, Silva AC, Tomasi E: Explaining trends in inequities: evidence from Brazilian child health studies. Lancet. 2000, 356 (9235): 1093-8. 10.1016/S0140-6736(00)02741-0.CrossRefPubMed Victora CG, Vaughan JP, Barros FC, Silva AC, Tomasi E: Explaining trends in inequities: evidence from Brazilian child health studies. Lancet. 2000, 356 (9235): 1093-8. 10.1016/S0140-6736(00)02741-0.CrossRefPubMed
9.
go back to reference Gwatkin DR, Rutstein S, Johnson K, Pande RP, Wagstaff A: Socio-economic Differences in Health, Nutrition, and Population. 2000, Washington: The World Bank Gwatkin DR, Rutstein S, Johnson K, Pande RP, Wagstaff A: Socio-economic Differences in Health, Nutrition, and Population. 2000, Washington: The World Bank
11.
go back to reference Filmer D, Pritchett LH: Estimating wealth effects without expenditure data – or tears: an application to educational enrollments in states of India. Demography. 2001, 38 (1): 115-132.PubMed Filmer D, Pritchett LH: Estimating wealth effects without expenditure data – or tears: an application to educational enrollments in states of India. Demography. 2001, 38 (1): 115-132.PubMed
12.
go back to reference Houweling TA, Kunst AE, Mackenbach JP: Measuring health inequality among children in developing countries: does the choice of the indicator of economic status matter?. Int J Equity Health. 2003, 2 (1): 8-10.1186/1475-9276-2-8.CrossRefPubMedPubMedCentral Houweling TA, Kunst AE, Mackenbach JP: Measuring health inequality among children in developing countries: does the choice of the indicator of economic status matter?. Int J Equity Health. 2003, 2 (1): 8-10.1186/1475-9276-2-8.CrossRefPubMedPubMedCentral
13.
go back to reference Bollen KA, Glanville JL, Stecklov G: Economic status proxies in studies of fertility in developing countries: Does the measure matter?. Population Studies – A Journal of Demography. 2002, 56 (1): 81-96.CrossRef Bollen KA, Glanville JL, Stecklov G: Economic status proxies in studies of fertility in developing countries: Does the measure matter?. Population Studies – A Journal of Demography. 2002, 56 (1): 81-96.CrossRef
14.
go back to reference Martikainen P, Valkonen T, Martelin T: Change in male and female life expectancy by social class: decomposition by age and cause of death in Finland 1971–95. J Epidemiol Community Health. 2001, 55: 494-499. 10.1136/jech.55.7.494.CrossRefPubMedPubMedCentral Martikainen P, Valkonen T, Martelin T: Change in male and female life expectancy by social class: decomposition by age and cause of death in Finland 1971–95. J Epidemiol Community Health. 2001, 55: 494-499. 10.1136/jech.55.7.494.CrossRefPubMedPubMedCentral
15.
go back to reference Marang-van de Mheen P, Davey Smith G, Hart C, Gunning-Schepers L: Socioeconomic differentials in mortality among men within Great Britain: time trends and contributory causes. J Epidemiol Community Health. 1998, 52: 214-218.CrossRefPubMed Marang-van de Mheen P, Davey Smith G, Hart C, Gunning-Schepers L: Socioeconomic differentials in mortality among men within Great Britain: time trends and contributory causes. J Epidemiol Community Health. 1998, 52: 214-218.CrossRefPubMed
16.
go back to reference Cleland J, Bicego G, Fegan G: Socioeconomic inequalities in childhood mortality: the 1970s to the 1980s. Health Transit Rev. 1992, 2 (1): 1-18.PubMed Cleland J, Bicego G, Fegan G: Socioeconomic inequalities in childhood mortality: the 1970s to the 1980s. Health Transit Rev. 1992, 2 (1): 1-18.PubMed
17.
go back to reference Minujin A, Delamonica E: Mind the gap! Widening Child Mortality Disparities. J Human Development. 2003, 4 (3): 397-418. 10.1080/1464988032000125764.CrossRef Minujin A, Delamonica E: Mind the gap! Widening Child Mortality Disparities. J Human Development. 2003, 4 (3): 397-418. 10.1080/1464988032000125764.CrossRef
18.
go back to reference Vågerö D, Erikson R: Socioeconomic inequalities in morbidity and mortality in western Europe. Lancet. 1997, 350 (9076): 516-10.1016/S0140-6736(97)26033-2.CrossRefPubMed Vågerö D, Erikson R: Socioeconomic inequalities in morbidity and mortality in western Europe. Lancet. 1997, 350 (9076): 516-10.1016/S0140-6736(97)26033-2.CrossRefPubMed
19.
go back to reference Huisman M, Kunst AE, Andersen O, Bopp M, Borgan JK, Borrell C, Costa G, Deboosere P, Desplanques G, Donkin A, Gadeyne S, Minder C, Regidor E, Spadea T, Valkonen T, Mackenbach JP: Socioeconomic inequalities in mortality among elderly people in 11 European populations. J Epidemiol Community Health. 2004, 58 (6): 468-75. 10.1136/jech.2003.010496.CrossRefPubMedPubMedCentral Huisman M, Kunst AE, Andersen O, Bopp M, Borgan JK, Borrell C, Costa G, Deboosere P, Desplanques G, Donkin A, Gadeyne S, Minder C, Regidor E, Spadea T, Valkonen T, Mackenbach JP: Socioeconomic inequalities in mortality among elderly people in 11 European populations. J Epidemiol Community Health. 2004, 58 (6): 468-75. 10.1136/jech.2003.010496.CrossRefPubMedPubMedCentral
20.
go back to reference Lopez AD, Collishaw NE, Piha T: A descriptive model of the cigarette epidemic in developed countries. Tob Control. 1994, 3: 242-247.CrossRefPubMedCentral Lopez AD, Collishaw NE, Piha T: A descriptive model of the cigarette epidemic in developed countries. Tob Control. 1994, 3: 242-247.CrossRefPubMedCentral
21.
go back to reference Marmot MG, Shipley MJ: Do socioeconomic differences in mortality persist after retirement? 25 year follow up of civil servants from the first Whitehall study. BMJ. 1996, 313 (7066): 1177-80.CrossRefPubMedPubMedCentral Marmot MG, Shipley MJ: Do socioeconomic differences in mortality persist after retirement? 25 year follow up of civil servants from the first Whitehall study. BMJ. 1996, 313 (7066): 1177-80.CrossRefPubMedPubMedCentral
22.
go back to reference Wagstaff A: The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Econ. 2005, 14 (4): 429-32. 10.1002/hec.953.CrossRefPubMed Wagstaff A: The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Econ. 2005, 14 (4): 429-32. 10.1002/hec.953.CrossRefPubMed
23.
go back to reference Kunst AE, Houweling TAJ: International overview of poor-rich disparities in child mortality and the use of maternal and child health services. 2001, Report on a short-term consultancy to the World Bank Kunst AE, Houweling TAJ: International overview of poor-rich disparities in child mortality and the use of maternal and child health services. 2001, Report on a short-term consultancy to the World Bank
24.
go back to reference Rogers EM: Diffusion of Innovations. 2003, London: Free Press, [1962] Rogers EM: Diffusion of Innovations. 2003, London: Free Press, [1962]
25.
go back to reference Huisman M, Kunst AE, Mackenbach JP: Educational inequalities in smoking among men and women aged 16 years and older in 11 European countries. Tob Control. 2005, 14 (2): 106-13. 10.1136/tc.2004.008573.CrossRefPubMedPubMedCentral Huisman M, Kunst AE, Mackenbach JP: Educational inequalities in smoking among men and women aged 16 years and older in 11 European countries. Tob Control. 2005, 14 (2): 106-13. 10.1136/tc.2004.008573.CrossRefPubMedPubMedCentral
26.
go back to reference Monteiro CA, Conde WL, Lu B, Popkin BM: Obesity and inequities in health in the developing world. Int J Obes Relat Metab Disord. 2004, 28 (9): 1181-6. 10.1038/sj.ijo.0802716.CrossRefPubMed Monteiro CA, Conde WL, Lu B, Popkin BM: Obesity and inequities in health in the developing world. Int J Obes Relat Metab Disord. 2004, 28 (9): 1181-6. 10.1038/sj.ijo.0802716.CrossRefPubMed
27.
go back to reference Walter SD: Choice of effect measure for epidemiological data. J Clinical Epidemiology. 2000, 53 (9): 931-939. 10.1016/S0895-4356(00)00210-9.CrossRef Walter SD: Choice of effect measure for epidemiological data. J Clinical Epidemiology. 2000, 53 (9): 931-939. 10.1016/S0895-4356(00)00210-9.CrossRef
28.
go back to reference Koolman X, Kunst AE: Estimating relative risks for categorical outcomes; An application to health inequality measurement. Koolman X, Kunst AE: Estimating relative risks for categorical outcomes; An application to health inequality measurement.
Metadata
Title
Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health
Authors
Tanja AJ Houweling
Anton E Kunst
Martijn Huisman
Johan P Mackenbach
Publication date
01-12-2007
Publisher
BioMed Central
Published in
International Journal for Equity in Health / Issue 1/2007
Electronic ISSN: 1475-9276
DOI
https://doi.org/10.1186/1475-9276-6-15

Other articles of this Issue 1/2007

International Journal for Equity in Health 1/2007 Go to the issue