Amol Navathe, MD, PhD, with a poster of his award-winning abstract at the 2018 AcademyHealth Annual Research Meeting
Photo: Hoag Levins
Penn Medicine’s Amol Navathe, MD, PhD, scored with an AcademyHealth Annual Research Meeting “Best Abstract” award for one payment system study and was also displaying a poster of a second payment study in collaboration with Blue Cross/Blue Shield of Hawaii. That Hawaii project is testing a new payment model with 600 primary care physicians and, in its first phase, has increased care quality by two percent and reduced primary care spending by 3.3 pecent. (Click image for larger)

University of Pennsylvania Perelman School of Medicine Assistant Professor Amol Navathe has won a “Best Abstract” award at the AcademyHealth Annual Research Meeting (ARM) currently underway in Seattle.

Navathe, MD, PhD, heads a Penn team whose study is entitled “A Pragmatic Policy Trial Testing Larger Bonus Sizes and the Behavioral Economic Principles of Loss Aversion and Social Pressure in Physician Pay-for-Performance.” It is the first randomized trial to test behavioral economics principles in a physician P4P clinical environment.

Payment systems
Each year, an AcademyHealth committee selects the most outstanding research abstracts submitted in its “Call for Papers” in 21 different areas of health services research. Navathe’s paper was selected as “Best” in the “Payment and Delivery Systems” category.

A Senior Fellow at Penn’s Leonard Davis Institute of Health Economics (LDI), Navathe is also the Associate Director of Penn’s Center for Health Incentives & Behavioral Economics (CHIBE) and a staff physician at the Crescenz VA Medical Center in Philadelphia.

The P4P study comes as the implementation of such P4P incentive programs continues to expand across the country, but with what so far appear to be mixed results. The study compared the variation in the proportion of evidence-based quality measures met by two different patient groups treated by physicians participating in various P4P incentive programs.