WP 9 : Innovation in health information for public health policy development

Emerging indicators and data sources, delivering new and policy-relevant data in specific areas of high interest, and enlarging the set of morbidity indicators available across the EU

Building on existing health information gaps, WP9 assesses the potential use of new data sets for public health policy purposes. WP9 considers new ways of using existing data, data linkage, mathematical modelling and other techniques. Additionally, WP9 works towards enlarging the set of morbidity indicators available across the EU at different geographical levels and in a timelier way to inform the development of future regulations.

Tasks

• 9.1  Identify inspiring examples from MS with regards to the innovative use of data sources that target priority public health actions and healthcare strategies. This task identifies new indicators on health and its determinants and investigates the potential of modelling techniques to enhance the scope of existing indicators. Experiences are shared on the use of these new indicators, promising sources and modelling techniques.

• 9.2  Develop and propose generic and shared methods, best practices and standards to define, construct, validate, and disseminate relevant and reliable new indicators from innovative data sources. This task prepares guidelines for developing and testing specific new indicators to assess the performance of integrated healthcare systems.

• 9.3  Apply the developed best practices in 9.2 to health indicators for a limited number of priority public health targets that are of interest. This allows for having multi-country results and trends at different geographical levels.

• 9.4  Develop composite indicators to monitor the burden of disease(BoD). This task includes organised workshops on BoD: integrating BoD into national accounts; describe criteria to be fulfilled by BoD studies, data analysis/reporting to advice political action; develop expertise and capability to undertake country studies, and to promote a cross-EU approach to identify and address causes of morbidity.

• 9.5  Explore mechanisms for the uptake of indicators into the regular EU data collection system (Eurostat regulations), WHO and OECD.

Outcomes:

WP 9: Minutes from the Burden of Disease workshop

WP 9: Innovative use of data sources: A Cross-sectional study of Data Linkage Practices across European Countries

WP 9: Innovative use of data sources: a crosssectional study of data linkage and artificial intelligence practices across Europe

WP 9: A generic method study using Machine Learning Technique

WP 9: Implications for Innovative Use of Data Sources-Inspiring Examples from European Countries

WP 9: Methodological Guidelines for studies to estimate health indicators using linked data and machine learning techniques

WP 9: Narrative overview of national BoD studies

WP 9: Comparison of country health profiles

WP 9: Minutes from the EHLEIS network meeting: European research cooperation on health expectancies

WP 9: Roadmap for the uptake of health indicators: Opportunities and Obstacles

The leads and co-leads to this work package are:

Agence nationale de santé publique (SpFrance)              Higienos institutas (HI)