Table 6: Odds ratios from binary logistic regression predicting patient-centered interaction.

Unadjusted Adjusted Patient age 65 or older 1.34* 1.29† Patient characteristics  Gender—male 0.92  Race—white 1.48*  Education—less than high school 1.12  Education—high school degree 1.13  Education—some college 1.33  Education—college degree 1.12  Income—less than $20,000 0.84  Income—$20–$29,999 1.04  Income—$30,000–$39,999 0.75  Income—$40,000–$49,999 0.92  SF12—physical health 1.01  SF12—mental health 1.04* Physician characteristics  Male 0.63†  White 0.37**  Years of practice 0.97 Encounter characteristics  First visit 0.49†  Number of visits 1.10

Note: Coefficients are odds ratios. Standard errors are corrected using Huber-White sandwich matrix estimator that does not assume independence of cases within clusters. †P <  .10, *P <  .05, **P <  .01, ***P <  .001.