A computer simulation model for cost-effectiveness analysis of cardiovascular disease prevention

Area of Science:

• Health economics
• Cardiovascular disease prevention
• Health services research

Background:

• Cost-effectiveness analysis (CEA) is crucial for resource allocation in healthcare.
• Evaluating cardiovascular disease (CVD) prevention interventions requires robust analytical tools.
• Existing models may lack flexibility or ease of use for diverse applications.

Purpose of the Study:

• To present a user-friendly computer simulation model for CEA of CVD prevention.
• To enable comparison of different prevention strategies for optimal resource utilization.
• To provide a flexible tool adaptable to local data and various medical fields.

Main Methods:

• Development of a computer simulation model using Turbo-Pascal for IBM-PC compatibility.
• Integration of 8-year logistic multivariate risk equations for coronary heart disease (CHD) and stroke from the Framingham Heart Study.
• Design allowing easy modification of regression coefficients for local data incorporation.

Main Results:

• The model offers ease of use, transparency, and flexibility in analyzing CVD prevention costs and effectiveness.
• It is based on established risk equations but adaptable to specific population data.
• The simulation approach is validated for scientific, educational, and clinical decision-making.

Conclusions:

• The developed model provides a valuable tool for cost-effectiveness analysis in cardiovascular disease prevention.
• Its adaptability and user-friendly design make it suitable for scientific, educational, and clinical settings.
• The underlying modeling approach has potential applications across various medical domains.