Table 7: Odds ratios from binary logistic regression predicting patient satisfaction.

UnadjustedAge moderatedAdjusted

Patient-centered interaction1.76**1.38*1.27
Patient age over 650.47*0.76
Patient-centered × age over 652.02*1.41
Patient characteristics
 Gender—male0.71
 Race—white1.69
 Education—less than high school0.24*
 Education—high school degree0.65
 Education—some college0.68
 Education—college degree1.33
 Income—less than $20,0001.13
 Income—$20–$29,9990.89
 Income—$30,000–$39,9990.97
 Income—$40,000–$49,9991.12
 SF12—physical health0.98
 SF12—mental health1.06**
Physician characteristics
 Male0.61
 White1.46
Years of practice0.99
Encounter characteristics
 First visit0.50
 Number of visits1.12

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.