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.
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.
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.
