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. 2013 Dec;23(6):922-6.
doi: 10.1093/eurpub/cks170. Epub 2012 Dec 7.

Interpreting ethnic inequalities in healthcare consumption: a conceptual framework for research

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Interpreting ethnic inequalities in healthcare consumption: a conceptual framework for research

Marie-Louise Essink-Bot et al. Eur J Public Health. 2013 Dec.

Abstract

Background: The increasing diversity of the Western-European population demands identification of potential ethnic healthcare inequities. We developed a framework that helps researchers in interpreting ethnic inequalities in healthcare consumption in equity terms. From this framework, we develop recommendations for the design of future studies.

Methods: The framework was developed by analysing three typical studies on ethnic inequalities in healthcare consumption with respect to the potential of interpreting their results as healthcare inequities.

Results: Analysing the effects of ethnic variations in healthcare consumption on health outcomes provides important clues about the presence of potential ethnic healthcare inequities. Interpretation of ethnic variations in healthcare consumption as potentially inequitable requires appropriate adjustment for medical need for healthcare, patient preferences and treatment adherence. Because of the central position of medical need, studies need to be disease-specific and based on standardized assessment of risk factors and disease characteristics. A longitudinal study design is necessary to prevent reverse causation.

Conclusion: The framework shows that ethnic inequalities in healthcare consumption can be justified if healthcare received meets the need for healthcare in all groups and is in accordance with informed patient preferences. It also shows that ethnic equality in healthcare consumption may hide healthcare inequities. We recommend further research on ethnic healthcare inequities using multi-ethnic cohort designs combined with linkage to healthcare registries. We also recommend research to identify clinically relevant ethnic differences in disease profiles and optimization of treatment regimens.

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