Table 3.

Initial and reduced multiple logistic regression models of lifetime malpractice cases associated with demographic and training factors in Maryland general surgeons

Characteristic	Initial Model			Reduced Model
	OR Estimate	95% CI	P-Value	OR Estimate	95% CI	P-Value
Intercept	0.143	(0.05, 0.42)	<0.001	0.149	(0.09, 0.23)	<0.001
Gender
Female	(Reference)	---	---	(Reference)	---	---
Male	1.730	(1.02, 2.99)	0.046	1.534	(0.94, 2.56)	0.095
Second Degree
No	(Reference)	---	---
Yes	1.439	(0.77, 2.64)	0.244
International
No	(Reference)	---	---
Yes	1.281	(0.60, 2.86)	0.533
Fellowship
No	(Reference)	---	---
Yes	0.956	(0.60, 1.53)	0.848
Years Practiced in Maryland	1.047	(1.03, 1.07)	<0.001	1.043	(1.03, 1.06)	<0.001
Medical School Rank
1–10	(Reference)	---	---
11–25	0.675	(0.21, 2.08)	0.499
26–50	1.060	(0.45, 2.62)	0.896
51+	1.153	(0.49, 2.85)	0.752
Unranked	0.598	(0.21, 1.68)	0.326
Residency Reputation Rank
1–10	(Reference)	---	---
11–50	0.742	(0.33, 1.67)	0.464
51–100	0.830	(0.33, 2.07)	0.689
101–150	1.489	(0.57, 3.92)	0.416
151–200	1.138	(0.48, 2.78)	0.774
201+	1.554	(0.53, 4.56)	0.420
Unranked	0.723	(0.31, 1.73)	0.461

Predictors removed by backwards selection