Modelling and Evaluation of Policies

Area of Science:

• Public Health
• Health Informatics
• Health Policy Analysis

Background:

• Non-communicable diseases (NCDs) represent a significant social and financial burden on European Union healthcare systems.
• Proactive interventions and cost-effective policies are crucial for mitigating the impact of NCDs.
• The CrowdHEALTH project specifically addresses the societal and healthcare burden of NCDs through a focus on public health policies.

Purpose of the Study:

• To define the concept of Public Health Policy (PHP).
• To review the current state of PHP development.
• To propose an initial framework for modeling and evaluating PHPs within the Policy Development Toolkit (PDT).

Main Methods:

• Development of a policy creation module integrated within the Policy Development Toolkit (PDT).
• Integration of health analytics, policy components, and data visualization for decision support.
• Utilization of data-driven models (risk stratification, pathway mining, forecasting, causal analysis) and cost-benefit analysis using Holistic Health Records (HHRs).

Main Results:

• PHP is defined as public sector decisions and actions impacting healthcare system actors.
• The Policy Development Toolkit (PDT) serves as the primary user interface for the CrowdHEALTH platform.
• Key components include policy modeling, population identification, and policy evaluation using Key Performance Indicators (KPIs).

Conclusions:

• The presented design for the policy creation component is an initial framework.
• Potential modifications to the component design are anticipated throughout the project lifecycle.
• The toolkit aims to support decision-making processes in public health policy development.