Researchers have developed an advanced U.S.-based microsimulation model to estimate the long-term health and cost effects of interventions in type 1 diabetes (T1D). Incorporating risk equations for 14 T1D complications , mortality, risk factor progression, and quality-of-life measures, the model draws on large trial and epidemiological datasets (DCCT/EDIC and EDC). Internal validation showed high prediction accuracy , with a mean absolute percentage error of 9% . This tool enables robust assessment of clinical, quality-adjusted, and economic outcomes—illustrated using nationwide insulin pump plus continuous glucose monitoring adoption.
The new model supports decision-makers in comparing interventions for T1D management, providing strong evidence for cost-effectiveness strategies in U.S. clinical practice. Click Here —to read the full article. ##Reference## Carolina Barbosa, Thomas J.…
