心理干预
期限(时间)
2型糖尿病
医学
糖尿病
计算机科学
计量经济学
心理学
经济
护理部
内分泌学
量子力学
物理
作者
Carolina Barbosa,Thomas J. Hoerger,Nicole Mack,Georgiy Bobashev,Simon Neuwahl,Rainer Hilscher,Trevor J. Orchard,Tina Costacou,Rachel G. Miller,Ralph B. D’Agostino,Ping Zhang
标识
DOI:10.2337/figshare.29315495.v1
摘要
<p dir="ltr"><u>Objective:</u> To develop a U.S.-based microsimulation model for assessing the cost-effectiveness of interventions to manage type 1 diabetes.</p><p dir="ltr"><u>Research Design and Methods:</u> We developed risk equations for 14 diabetes-related complications and mortality, 12 risk factor progression equations, and one equation for utilities associated with 14 complications using data from the Type 1 Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications studies (DCCT/EDIC) and the Epidemiology of Diabetes Complications (EDC) study. We integrated all equations into a simulation model. We conducted internal and external validation and demonstrated the utility of the model using a real-world example. Main model-generated outcomes included cumulative incidence of diabetes-related complications, life years, quality-adjusted life years (QALY), medical costs, and incremental cost-effectiveness ratios.</p><p dir="ltr"><u>Results:</u> The model generates long-term clinical and economic outcomes from changes in risk factors of type 1 diabetes complications. Internal validation comparing modeled outcomes to observed data used to develop the model yielded good prediction accuracy, with mean absolute percentage error (MAPE) across all complications of 9%, and correlation of cumulative failure rates above 0.9. External validation results were mixed, with occurrence of slight under- or overprediction across complications and studies. We illustrated the model with a case study estimating the effects of expanding the use of an insulin pump with continuous glucose monitoring to all people with type 1 diabetes.</p><p dir="ltr"><u>Conclusion:</u> Our new comprehensive type 1 diabetes simulation model can generate valid and accurate results for assessing the long-term cost-effectiveness of interventions to manage type 1 diabetes in the United States.</p>
科研通智能强力驱动
Strongly Powered by AbleSci AI