Table 2.

Outcome variables evaluated using binary logistic regression model

After initiation of MOTS program	Exp(B)	p Value	95% CI for exp(B)
Inpatient complications
Step 1*	3.791	0.041	1.054, 13.634
Step 2†	3.773	0.039	1.073, 13.270
Step 3‡	3.901	0.033	1.120, 13.587
Step 4§	3.692	0.055	0.977, 9.881
90-day mortality*	1.854	0.524	0.277, 12.399
1-year mortality*	1.464	0.601	0.351, 6.111

Binary logistic regression model controlled for: *age, Charlson Comorbidity Index, race, fracture type, and time from admission to surgery; ^†Charlson Comorbidity Index, race, fracture type, and time from admission to surgery; ^‡Charlson Comorbidity Index, fracture type, and time from admission to surgery; ^§Charlson Comorbidity Index, race, and time from admission to surgery; backward conditional method of regression modeling was used for inpatient complications; MOTS = Medical Orthopaedic Trauma Service; CI = confidence interval.