Learn more about the 2019-2020 SUS Mid Career Award Winner!
Clara Nan-hi Lee, MD, MPP, FACS
Associate Professor
Department of Plastic Surgery, College of Medicine
Division of Health Services Management and Policy, College of Public Health (by courtesy)
Director of Women’s Academic Advancement, College of Medicine
The Ohio State University
Dr. Clara Lee is a plastic and reconstructive surgeon and health services researcher at The Ohio State University. She obtained a Bachelor’s degree from Harvard College, a Master of Public Policy degree from Harvard University John F. Kennedy School of Government, and a Medical Degree from Yale School of Medicine. She completed residency in general surgery at New York Hospital-Cornell Medical Center and residency in plastic surgery at the University of California San Francisco. Her first faculty appointment was at the University of North Carolina Chapel Hill, where she had appointments in the Schools of Medicine and Public Health.
Dr. Lee’s research is devoted to understanding and improving how patients with cancer make decisions about their surgical treatments. Dr. Lee has expertise in patient-reported outcomes of breast reconstruction and patient decision making about breast cancer treatments. She has developed measures of the quality of decisions about early stage breast cancer treatments and has experience with the design, implementation, and analysis of multi-site studies of newly diagnosed cancer patients and longer-term cancer survivors. Her research has been funded by the National Institutes of Health, the Pelotonia Foundation, the Plastic Surgery Foundation, and the Informed Medical Decisions Foundation.
Mentors: Michael Pignone, MD and Peter Ubel, MD
Project: Implementing a Breast Reconstruction Decision Support Tool in Diverse Practice Settings
The project seeks to optimize and evaluate a decision aid called BREASTChoice, to support decisions about breast reconstruction. The aims are to elicit key stakeholder input, modify and prepare BREASTChoice for implementation, and evaluate the tool’s effects in a randomized controlled trial in a diverse population.