On April 5, 2016, CDC www.cdc.gov posted Solicitation (2016-N-17763) on www.fbo.gov requesting the development for two Computer Simulation Models to predict the long term health and economic outcomes to prevent diabetes and complications. The contract (200-2016-92270) was awarded on September 16, 2016 to Research Triangle Park www.rti.org in North Carolina for $4,100,759.
The National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) www.cdc.gov/chronicdisease in the Division of Diabetes Translation (DDT) which is part of CDC in collaboration with other organizations previously developed a type 2 diabetes simulation model.
In the past decade, this model has been used to assess the cost effectiveness of a variety of type 2 diabetes prevention and management interventions and has produced a significant scientific and public health impact.
However, the dynamic environment of diabetes care and major advances in the science of simulation modeling has led to challenges and bottlenecks in developing, revising, and applying the current model.
Now it is possible for trials to provide unique opportunities to develop new risk equations for the development of diabetes and diabetes-related complications and mortality. Since there are more recent trials with large numbers of patients receiving contemporary treatment, it is important to incorporate the new data into a diabetes model to improve the model’s predictive ability.
The primary goals for this project are to:
- Develop two independent computer simulation models of type 1 and type 2 diabetes
- Conduct internal and external validation studies on the two models using both clinical and real world data
- Disseminate the developed models among scientific communities and the general public through publications and presentations
On completion of the project, NCCDHP will have the two most advanced diabetes computer simulation models in the world. Information generated by the simulation models will directly inform decision-making related to the prevention and control of type 2 diabetes and for the management of type 1 diabetes as well as the prioritization of the nation’s public health interventions.