Volume 49 | Number 6 | December 2014

Abstract List

Jason J. Wang Ph.D., Jisung Cha Ph.D., Kimberly M. Sebek M.P.H., Colleen M. McCullough M.P.A., Amanda S. Parsons M.D., M.B.A., Jesse Singer D.O., Sarah C. Shih M.P.H.


To analyze the impact of three primary care practice transformation program models on performance: Meaningful Use (), Patient‐Centered Medical Home (), and a pay‐for‐performance program (eHearts).

Data Sources/Study Setting

Data for seven quality measures () were retrospectively collected from 192 small primary care practices between October 2009 and October 2012; practice demographics and program participation status were extracted from in‐house data.

Study Design

Bivariate analyses were conducted to measure the impact of individual programs, and a Generalized Estimating Equation model was built to test the impact of each program alongside the others.

Data Collection/Extraction Methods

Monthly data were extracted via a structured query data network and were compared to program participation status, adjusting for variables including practice size and patient volume. Seven s were analyzed related to smoking prevention, blood pressure control, , diabetes, and antithrombotic therapy.

Principal Findings

In bivariate analysis, practices tended to perform better on process measures, practices on more complex process measures, and eHearts practices on measures for which they were incentivized; in multivariate analysis, recognition was associated with better performance on more s than any other program.


Results suggest each of the programs can positively impact performance. In our data, appears to have the most positive impact.