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.

Diverse Team of Young Professionals in Conference Room Have Discussion about Statistics and Graphs Shown on a Presentation TV.

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.

- 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.

Economics Modeling Applications

Diabetes State Burden Toolkit

Use this tool to understand the health, economic, and mortality burden of diabetes in your state.

Diabetes Prevention Impact Toolkit

Use this toolkit to project the health and economic effects of the National DPP lifestyle change program on your population at risk for diabetes.

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.

More Publications

Page last reviewed: September 9, 2020

Content source: Centers for Disease Control and Prevention