Modeling and Economics
Modeling and economics studies use computer models to simulate the long-term health and cost outcomes of diabetes interventions. With limited heath care resources, decision-makers need information on the economic burden of diabetes, the long-term effects of diabetes interventions and policies, and which interventions offer the largest health benefit.
Current Research Projects
- Economic and Financial Burden of Diabetes
This study is designed to quantify the economic and financial burden of diabetes on people with the disease, on the national health care system, and on US society as a whole; and track changes in the economic and financial burden of diabetes over time. - Cost-effectiveness Studies
Cost-effectiveness studies help clinical and public health policy decision makers make evidence-based policy decisions and set intervention priorities.
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- Systematic Reviews on Cost-Effectiveness of Interventions
This study is designed to gather and analyze evidence from published literature on the cost-effectiveness of interventions for managing type 1 and type 2 diabetes and preventing type 2 diabetes. - Computer Simulation Models on Long-Term Cost-Effectiveness of Interventions
This study uses computer simulation models to assess the long-term cost-effectiveness of interventions for managing type 1 and type 2 diabetes and preventing type 2 diabetes.
- Systematic Reviews on Cost-Effectiveness of Interventions
Economics Modeling Applications
Recent Publications
- Yang W, Cintina I, Hoerger T, Neuwahl SJ, Shao H, Laxy M, Zhang P. Estimating costs of diabetes complications in people <65 years in the U.S. using panel data.external icon J Diabetes Complications. 2020 Dec;34(12):107735.
- Ng BP, Cheng YJ, Rutledge S, Cannon MJ, Zhang P, Smith BD. Estimated number of eligible Part B beneficiaries for the Medicare Diabetes Prevention Program at the county level and by urban-rural classification.external icon PLoS One. 2020 Nov 10;15(11):e0241757.
Page last reviewed: September 9, 2020
Content source: Centers for Disease Control and Prevention