7.X.1. Providing BoD estimates on a regional level – necessity in assessing health inequalities

Abstract Burden of disease indicators, such as Disability-adjusted life years (DALY), Years lost due to disability (YLD) and Years lost due to death (YLL) have become standard indicators in public health reporting systems. Due to the combination of morbidity and mortality, the DALY provides valuable information on the burden due to specific diseases. These tools are employed by policymakers to devise intervention programs with the objective of enhancing the collective health of the population. Studies at the subnational level offer a greater added value to the public health information systems. Identifying variations in health outcomes and disease burden across different regions is a key factor when introducing targeted interventions and allocating resources. Health inequalities persist also in countries with good health systems and well-developed welfare state. There are notable contrasts in the political, economic and social environments across Europe. Moreover, the European countries are at different stages of the epidemiological transition, which encompasses a range of factors influencing health and modifiable risk behaviours. These differences are determined by socioeconomic inequalities at national and sub-national level, such as municipalities, counties and others. It is therefore imperative to provide BoD indicators at the most possible detailed regional-level and to link this information with further indicators such as deprivation indexes or Gini coefficients. Obtaining regional-level data for BoD analysis and health inequalities is not straightforward and can pose many challenges. Data availability is usually scarce and may involve significant resources in collecting it. Data quality and data completeness can also pose challenges in the reporting systems, which can result in under-reporting of certain diseases and overlooking health problems in the population. Also, countries with smaller populations are confronted with the challenge of a limited number of cases, which poses difficulties in obtaining regional estimates. The following workshop presents examples from European BoD studies, that have analysed health inequalities at regional level. The first presentation shows a country comparison study of the overall YLL and their association with socioeconomic and geographical inequalities. The second is from an Estonian study, representing a country with a small population that has developed its own methodology for assessing regional health issues. The third presentation from the German BoD study presents results on 96 spatial planning regions, which have been combined with the German index of socioeconomic deprivation. The final presentation brings example from Norway, where the association between YLL and education and income is examined at municipality level. Key messages • By comparing BoD estimates at the regional level, policymakers and public health officials can identify areas with higher disease burdens, indicating potential health inequalities. • Linking information on BoD indicators with data on regional and socioeconomic inequalities is essential when monitoring developments and tailoring strategies in public health outcomes.