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Socio-economic inequalities in mortality. Methodological problems illustrated with three examples from Europe
A E Kunst1, F Groenhof, J K Borgan
1Department of Public Health, Erasmus University, Rotterdam, The Netherlands. kunst@mgz.fgg.eur.nl
Revue D'Epidemiologie Et De Sante Publique
|February 9, 1999
Summary
Data limitations significantly bias estimates of socioeconomic health inequalities in Europe. Future research requires improved data sources and socioeconomic status measurement for reliable insights into these disparities.
Area of Science:
- Public Health
- Epidemiology
- Social Determinants of Health
Background:
- Lower socioeconomic groups consistently exhibit higher risks for disease, disability, and premature death across European countries.
- Existing studies often struggle to accurately quantify the magnitude, patterns, and temporal trends of these socioeconomic health inequalities.
- Common data issues in European countries can substantially bias the results of descriptive studies on health disparities.
Purpose of the Study:
- To illustrate how data limitations can bias the estimation of socioeconomic health inequalities in Europe.
- To highlight specific data problems affecting the assessment of morbidity and mortality disparities.
- To emphasize the need for critical evaluation of study results in light of potential data biases.
Main Methods:
- Analysis of three case studies from a European project on socioeconomic inequalities in premature morbidity and mortality.
- Examination of numerator/denominator bias in cross-sectional studies (France).
- Investigation of bias from excluding economically inactive men (4 countries) and using approximate social class schemes (Sweden).
Main Results:
- While socioeconomic inequalities in mortality among middle-aged men were demonstrable, data problems significantly biased estimates.
- The precise magnitude, patterns (by social class and cause of death), and time trends of inequalities were distorted by data issues.
- The direction and extent of bias were often unpredictable, complicating accurate interpretation.
Conclusions:
- Results of studies aiming to quantify health inequalities must be carefully evaluated for potential data problems.
- Substantial investments in data sources and socioeconomic status measurement are crucial for more reliable European health inequality research.
- Enhanced data quality is essential for a more detailed and trustworthy description of socioeconomic inequalities in health across Europe.