Health Policy Seminar
“Simulation Modeling to Inform Health Policy Decisions: Development, Validation, and Application of the Diabetes, Obesity, Cardiovascular Disease Microsimulation (DOC-M) Model”
David D. Kim, PhD, is an Assistant Professor of Medicine and Public Health Sciences at the University of Chicago. Previously, he served as an Assistant Professor and Program Director of the Cost-Effectiveness Analysis Registry at the Center for the Evaluation of Value and Risk in Health at Tufts Medical Center. As a health economist, Dr. Kim's research centers around measuring the value of health interventions and providing guidance for value-based health care decisions. His extensive research encompasses three key areas: (1) evaluating long-term health, equity, and economic impact of health interventions using simulation modeling; (2) measuring the use and consequences of low-value care; (3) enhancing methodology in economic evaluation and research prioritization. He has written several pieces highlighting the gap between guideline recommendations and actual practice in cost-effectiveness analysis with future directions for improvement. Recognizing the need for reliable tools to facilitate value-based decision-making, he has developed a formal quality assessment tool for cost-effectiveness analysis, called the Criteria for Health Economic Quality Evaluation (CHEQUE) tool. He has also created a decision framework and checklist to assess the transferability of economic evaluations.
Despite the known challenges in assessing the long-term effects of public health policy interventions, predictions are often necessary to make an informed, evidence-based decision. When carefully developed and validated policy simulation models are used alongside robust sensitivity and scenario analyses, simulation modelling provides a framework for integrating multiple data sources, reflecting the strength and uncertainty of evidence, incorporating heterogeneous effects across population subgroups, and ultimately identifying cost-effective strategies for improving population health and health equity. This talk will present the development and validation of the Diabetes, Obesity, Cardiovascular Disease Microsimulation (DOC-M) Model and its applications in forecasting cardiometabolic disease disparities among U.S. adults and evaluating the long-term cost-effectiveness of GLP-1 receptor agonists for obesity treatment.
Date: Tuesday, February 11th
Time: 3:00pm – 4:00pm ET
Zoom Link: https://wellforce.zoom.us/j/97594766909?pwd=M8KhWKAxFMWcZbkVQ7nsoEE45aMTP4.1&from=addon
Passcode: 903262
