Decision analytic and population simulation models are relevant to numerous government agencies to guide policy decisions, forecast future spending, and evaluate existing programs. These models tend to focus on overall costs, revenues and budget limits.
The Center for Chronic Disease Research and Policy provides a critical clinical perspective that health economists and health services researchers do not have. We have a long history of conducting cost-effectiveness analysis research in obesity and diabetes that rely on the specialized construction of chronic disease simulation models that incorporate the natural history of diseases.
These analytic methods are a core area of methodological expertise for the Center. As innovations in medicine continue to be produced while health care budgets are constrained, we anticipate an ongoing demand for our methodological expertise. By pursuing both clinical and policy research, the Center is uniquely positioned to help identify areas where health care policies conflict with the care of individual patients. At the same time, it is critical to study the cost-effectiveness of new clinical interventions and to understand their financial consequences for different components of the health system.
Monthly Workshops
The Center hosts a monthly workshop geared toward University of Chicago research professionals interested in methods related to chronic disease modeling and medical decision making. Methods include the application of simulation modeling (Markov Models, Agent-Based Models), as well as the development and study of decision aids and decision support interventions. This is a place for young investigators to share research progress that will be more technical than other traditional workshops.
The 2023/2024 workshops:
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September 6, 2023
James Altunkaya, MSc
NIHR Doctoral Research Fellow in the Health Economics Research Centre at the Nuffield Department of Population Health, University of Oxford
Building a new patient-level model for prediabetes
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October 13, 2023
Narges Mohammadi
Ph.D. Student in Operations Management and Analytics
Imperial College Business School, London
Optimal post-treatment recurrence surveillance: the case of head and neck cancer
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November 29, 2023
Melissa I. Franco, MPH
3rd year PhD student in Health Policy (Decision Science), Stanford University
Health Policy Modeling of Breast Cancer in Mexico: A diagnostic and treatment capacity constraint analysis
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January 31, 2024
Jennifer Hwang, DO
PITCH fellow, Section of General Internal Medicine, University of Chicago
Long-term Health Outcomes and Cost-Effectiveness of Anti-Obesity Medications Among U.S. Adults
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February 28, 2024
William F. Parker, MD, PhD
University of Chicago
Integrating fairness, efficiency, and resilience into a continuous distribution system for heart transplant allocation
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March 27, 2024
Katherine Saylor, PhD, Postdoctoral Fellow
Ethical Legal and Social Implications of Genetics and Genomics (T32)
Department of Medical Ethics and Health Policy
University of Pennsylvania
The value of prediction: Modeling cost-effectiveness and health equity for genetic screening.
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April 24, 2024
Jasmin Tiro, PhD
Professor, Department of Public Health Sciences
Associate Director for Cancer Prevention and Population Sciences
Director, Center to Eliminate Cancer Inequity (CinEQUITY)
University of Chicago Medicine Comprehensive Cancer Center
Impact of the Shift from Average- to Risk-based Cervical Cancer Screening
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May 29, 2024
Natalia Kunst, PhD
Senior Research Fellow (Associate Professor)
Centre for Health Economics (CHE)
University of York
An iterative approach to decision making in health and medicine: evidence and uncertainty considerations
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For more information about the workshop, or if you would like to attend a workshop, please contact Morgan Ealey (mealey@bsd.uchicago.edu)