Table 3:

Results of a multivariable linear regression model comparing annual reimbursement by gender, adjusted for physician and practice characteristics

Predictor	Reimbursement ($)	95% confidence interval	P-value
Gender
Male	0 (Ref)	-	-
Female	−20,209.12	−21,717.57, −18,700.66	<0.001
Total number of services	61.42	61.21, 61.64	<0.001
Years of experience	320.93	267.49, 374.36	<0.001
Service year	−4,261.60	−4,615.51, −3,907.69	<0.001
Procedural codes (%)	2,036.69	2,004.99, 2,068.39	<0.001
Socioeconomic characteristics of practice location
Mean household income ($)	−0.13	−0.17, −0.09	<0.001
Unemployment (%)	−1,415.63	−1,684.49, −1,146.77	<0.001
Poverty (%)	−497.92	−599.51, −396.34	<0.001
No college education (%)	673.69	624.13, 723.24	<0.001