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A system dynamics model for national drug policy.
Akbar Abdollahiasl1, Abbas Kebriaeezadeh, Rassoul Dinarvand
1Department of Pharmacoeconomics and Pharmaceutical administration, Pharmaceutical policy research center and Faculty of Pharmacy, Tehran University of Medical Sciences (TUMS), Tehran, Iran. abdollahiasl@gmail.com.
Summary
This study developed a system dynamics model to analyze national drug policy (NDP) indicators. The model simulates market mix effects on medicine availability, affordability, quality, and rationality, aiding policy improvements.
Area of Science:
- Health Policy Analysis
- Systems Science
- Pharmaceutical Management
Background:
- Data modeling offers virtual analysis for decision systems, crucial for national drug authorities.
- System dynamics models complex systems over time, aiding in identifying decision-making deficiencies.
- This study addresses deficiencies in national drug policy (NDP) decision-making processes.
Purpose of the Study:
- To develop a system dynamics model simulating market mix (5 P's) effects on NDP indicators.
- To investigate enhancing decision-making rationality, evaluating alternatives, and reducing costs.
- To identify systemic obstacles within national drug policy.
Main Methods:
- Utilized system dynamics, a computer-based approach for complex system analysis.
- Developed a cognitive casualty map for conceptual understanding of the system.
- Constructed a stock-flow model based on market demand and supply dynamics.
Main Results:
- The model visualizes interdependencies between NDP variables using four cognitive maps.
- Identified key issues in medicine availability, willingness to pay, rational use, and quality.
- The stock-flow diagram illustrates medicine demand formation and NDP objective response.
Conclusions:
- The model provides a foundational structure for analyzing national drug policy.
- Revealed often-overlooked relationships between NDP variables through cognitive mapping.
- Offers potential for expansion with disease-specific details for enhanced policy-making.
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