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Q&A with Piaopiao Li: Evaluating the Long-Term Effects of Programs for Veterans Targeting Social Determinants of Health

September 9, 2024

Piaopiao Li, a graduate student at the University of Florida, will use advanced machine learning techniques and electronic health records to evaluate the long-term overall health effects of programs for veterans.

Where we grow up, live, and work can influence our long-term health outcomes. These nonmedical factors that shape daily lives are called social determinants of health (SDOH).

Many initiatives exist to assist veterans with these factors, such as the Veterans Affairs Supportive Housing program and Veterans Affairs Diabetes Prevention Program. But how effective are these programs at improving veteran health and well-being in the long run?

Piaopiao Li, MS, a graduate student at the University of Florida, received a 2024 PhRMA Foundation Predoctoral Fellowship in Value Assessment and Health Outcomes Research for her project evaluating the long-term overall health effects of these programs for veterans.

Using advanced machine learning techniques and electronic health records, Li will develop a microsimulation model that mimics how veterans age and how chronic diseases progress over time. Her goal is to provide policymakers with a clearer understanding of how these programs work and how they can be improved to better benefit veterans.

Watch this video to learn about Li and her research.

Learn more about the PhRMA Foundation’s fellowship and grant opportunities. Check out more researcher stories on our blog.