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[Reducing Health Inequalities: Development of a Stepwise Procedure from Data to Political Interventions]. | LitMetric

Low socioeconomic status (assessed by indicators such as educational level or income) is often associated with increased morbidity and mortality. This has been shown in many empirical studies, also in Germany. There are numerous calls for political interventions aimed at reducing these health inequalities, in scientific discussions as well as in the public. Asked for scientifically based recommendations on how to proceed 'from data to action̓, we have to admit that we are still faced with many questions and few answers. Developing these recommendations poses many challenges such as, for example, how to integrate the expertise from different public health disciplines. The present study focuses on the cooperation between social epidemiology, public health ethics and health economics, as we believe that these three disciplines are of particular importance here. We briefly outline what each of them could contribute to the development of practical interventions aimed at reducing health inequalities. We particularly emphasize the importance of public health ethics, as it focuses on questions that to date have largely been neglected in the German discussion: How can we evaluate the empirical data and the proposed political interventions from an ethical point of view? Which health inequalities are 'unjust̓, and how can this normative judgement be justified? Based on the expertise from the three disciplines mentioned above, the aim is to pave the way 'from data to action̓ by developing a well-structured stepwise procedure for interventions aimed at reducing health inequalities. The joint scheme could be very beneficial not only for developing practical interventions, but also for further developing each discipline in itself. The simple scheme proposed here could be a starting point that helps specify many open questions on this path 'from data to action̓.

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http://dx.doi.org/10.1055/a-2217-7761DOI Listing

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