Jia Pu

Jia Pu is a health researcher experienced in combining data sources and mixed methods to evaluate health programs and deploy innovative digital solutions. Her expertise includes real-world study, outcomes research in cardiovascular diseases, medication utilization and adherence, and health disparities in underserved populations.

Pu has led several mixed-method evaluations, including the impact analysis of Medicare Part D for the Million Hearts Cardiovascular Disease Risk Reduction Model and an evaluation of an alternative care delivery model in Medi-Cal initiated by the California Health Care Foundation. She is experienced in deploying innovative digital solutions and led the research team that developed an interactive dashboard for the Comprehensive End-Stage Renal Disease Care Model. The dashboard helped participants monitor their performance and identify opportunities for improvement. In addition, to help address health inequities during the pandemic, Pu led development of an interactive dashboard to help policy makers design strategies to study their communities’ contact tracing needs and reach out to vulnerable populations. Pu’s recent research focuses on real-world studies. She works with foundations and clinical clients to support their research and quality improvement efforts through data collection and exchange, study design, statistical analysis, and dissemination of findings.

Before joining Mathematica in 2016, Pu was a health outcomes researcher at the Palo Alto Medical Foundation Research Institute, where she studied patient clinical outcomes and health disparities using electronic health records. She is a co-author of the American Heart Association Scientific Statement: Cardiovascular Disease in African Americans. She holds a Ph.D. in social and administrative sciences of pharmacy from the University of Wisconsin-Madison.