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 Variable | Independent Variable* | Utilization† | Charges‡ | |||
---|---|---|---|---|---|---|
Odds Ratio (95% CI) | P | SE | P | R2 | ||
Specialty Care Clinic (n = 260) | Female sex | 1.636 (1.083–2.471) | .0192 | −0.0127 | .8427 | 0.1086 |
Age | 1.026 (1.012–1.040) | .0003 | 0.1168 | .0653 | ||
Education | 1.005 (0.933–1.082) | .8972 | −0.0052 | .9348 | ||
Income | 1.020 (0.947–1.099) | .5944 | 0.0223 | .7376 | ||
Obesity | 1.705 (1.157–2.514) | .0070 | −0.0360 | .5592 | ||
Smoking | 1.153 (0.756–1.757) | .5088 | 0.0187 | .7684 | ||
Alcohol abuse | 2.210 (1.041–4.692) | .0391 | −0.0533 | .3932 | ||
Mental health status | 1.010 (0.994–1.026) | .2285 | 0.0810 | .1962 | ||
Physical health status | 0.979 (0.963–0.996) | .0154 | −0.1423 | .0266 | ||
Patient-centered care | 0.966 (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.