Table 4.

Two-Part Regression Models for Utilization of Specialty Care Clinic and Charges Using Patient-Centeredness, Sex, Age, Education, Income, Obesity, Smoking, Alcohol Abuse, Mental and Physical Health Status as Explanatory Variables

Dependent VariableIndependent Variable*UtilizationCharges
Odds Ratio (95% CI)PSEPR2
Specialty Care Clinic (n = 260)Female sex1.636 (1.083–2.471).0192−0.0127.84270.1086
Age1.026 (1.012–1.040).00030.1168.0653
Education1.005 (0.933–1.082).8972−0.0052.9348
Income1.020 (0.947–1.099).59440.0223.7376
Obesity1.705 (1.157–2.514).0070−0.0360.5592
Smoking1.153 (0.756–1.757).50880.0187.7684
Alcohol abuse2.210 (1.041–4.692).0391−0.0533.3932
Mental health status1.010 (0.994–1.026).22850.0810.1962
Physical health status0.979 (0.963–0.996).0154−0.1423.0266
Patient-centered care0.966 (0.934–0.999).0417−0.2239.0005
  • * All independent variables are baseline measurements except for the patient centered care, which is averaged over 1 year of care.

  • Utilization results were obtained by logistic regression models.

  • Medical charges for specialty care are in log-transformed dollars, with mean 6.04 (SD, 1.24).

  • SE, standardized error.