糖尿病防治与管理是一个复杂动态的系统工程，需要运用与之相适宜的经济学评价方法，科学有效地指导社会资源的合理配置。该课题基于健康经济和系统科学等交叉学科的理论，结合我国糖尿病管理的实际情况，运用系统动力学（system dynamic）手段和基于个体模型（agent-based model）的方法，通过搜集国内国际公开发表的宏观和统计数据、分析成都和南通《城乡居民和城镇职工医疗保险》和《中国慢性病及其危险因素监测》的微观数据、开展社区居民入户跟踪调查以及医务人员访谈等，从多渠道获得模型中患者行为决策、临床以及经济等指标参数，建立和校验动态经济学评价模型，仿真模拟医疗保险和公共卫生等宏观政策下糖尿病干预的成本、效果和效用（QALY），为筛选和优化糖尿病干预的手段和路径，制定有效预防和管理糖尿病的政策提供理论依据。该研究也为国际社会探索从系统行为的角度全面开展经济学评价提供思路和借鉴。

Diabetes prevention and management is a complex dynamic system effort, which requries appropriate economic evaluation methodology to guide decision making on the optimal allocation of resources. Based on interdisplinary theories and methodologies of health economics, system science and social medicine, this study proposes to develope system dynamic (SD) and agent-based (AB) models for both micro- and macro level of dynamic economic evaluation of integrated diabetes care. We will use multichannel datasets to validate the models and simulate the costs and effectiveness of different diabetes management interventions and the impact of health insurance and other public health policies. The datasets includes 1) Chinese chronic illness and its risk factors monitoring datasets, health insurance datasets from Chengdu and Nantong cities; 2）Follow-up studies on diabetes household survey and health provider deep interview; 3）National and international monitoring, published literature and expert interviews. By studying the dynamic feedback and continuously interactions of key factors in diabetes care, this study will help select and design optimal intervention path in diabetes management. It will also provide evidence for designing public health and health insurances policies to allocation resource efficiently.