To assess the impact of the intervention on each of our primary outcomes we will fit hierarchical logistic regression models with random effects for patients within physicians and physicians within centers. We will fit a set of similar models among three subgroups defined by number of patient visits with their primary care physician during the 18 month period (0 visits, 1-2 visits, ≥ 3 visits). We will fit two secondary models that include a third independent variable for race or sex. The effect of the intervention on reducing race or sex-based disparities will be assessed by examining race*group and sex*group interaction terms.