SOURCE-LINKED INTELLIGENCE

Health Economic Policy Analysis with Real World Data

CORDIS · observation · Publication date unknown

ed policies, and health insurance systems on health equity. Traditional studies often overlook socioeconomic and contextual factors shaping policy outcomes. HEPARD instead uses quasi-experimental and machine learning methods to analyze real-world data, yielding insights more relevant to Europe’s diverse conditions. The network’s research program includes four main work packages (WPs): - Real Data Innovation Analytics: Applies machine learning and causal inference to assess lifestyle health interventions in reducing chronic disease. - Family Futures: Studies health policies’ impacts on parents and children, focusing on policies like postpartum support and childcare across diverse European context. - Incentives and Impacts: Examines how various health insurance systems affect equity and access across Europe. - Methodological Cross-Breeding for Enhanced Causal Inference: Develops new causal inference tools by integrating economic and epidemiological approaches. Together, these WPs create a unified framework for understanding and addressing health inequities, combining methodological i

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recordType

award

status

SIGNED

region

EU

value

3593270.16

unit

EUR