Abstract for: Addressing the Mismatched Demand and Supply of Diabetic Care Delivery Systems Under Thailand's Universal Health Coverage
Introduction: System dynamics modeling can help policymakers determine strategies for addressing chronic care demand and supply mismatches. We examine applying this approach to improve diabetic care delivery performance under Thailand's Universal Health Coverage during the epidemiological transitions of 2023-2038. Methods: We conducted Group Model Building sessions involving 39 participants from Thailand's 7th Regional health systems in July 2022. Administrators, practitioners, and stakeholders co-created causal loop diagrams to understand the mismatch between diabetes care demand and supply. Stock and flow diagrams were also co-created for policy option simulations. Results: Simulations revealed resource misallocation as a critical factor in underperforming diabetic care delivery systems, especially in post-screening diagnosis. Expanding clinical capacity to diagnose and effectively treat chronic illnesses is essential for optimal health system performance. Discussion & Conclusion: The study emphasizes the need for policymakers and stakeholders to shift toward collaborative planning and action. System dynamics modeling serves as a decision support tool, unveiling high-leverage policies to improve diabetic care delivery systems in Thailand's Universal Health Coverage context. Adopting a whole system approach enables enhanced health system performance through collective efforts.