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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Crit Care Med. 2014 Jun;42(6):1455–1462. doi: 10.1097/CCM.0000000000000227

Table 4.

Association between intensivist characteristics and selecting “Probably yes” or “Definitely yes” response to bringing up withdrawing life support*

Model 1 Complete cases only Risk Ratio N = 511 Model 2 Imputed covariates Risk Ratio N = 630
Sex
 Male Ref Ref
 Female 1.11 (0.90,1.36) 1.15 (0.96,1.39)
Specialty
 Medicine Ref Ref
 Surgery 1.16 (0.94,1.43) 1.18 (0.97,1.43)
 Anesthesia 0.72 (0.53,0.96) 0.81 (0.63,1.04)
Region of Residency
 Northeast Ref Ref
 Midwest 0.95 (0.75,1.20) 0.98 (0.79,1.22)
 South 0.93 (0.74,1.18) 0.90 (0.72,1.12)
 West 0.85 (0.61,1.18) 0.87 (0.66,1.15)
 International 0.75 (0.36,1.57) 0.81 (0.44,1.48)
Years since residency
 1 year increase 0.99 (0.98,1.00) 0.99 (0.98,1.00)
Survey
 Control Ref Ref
 Values 0.95 (0.72,1.26) 1.03 (0.81,1.32)
 Prognosis 1.45 (1.13,1.85) 1.49 (1.20,1.85)
*

Model estimated using the COPY method with C = 1,000 and adjusted for scenario. Clustering of responses within intensivists accounted for using generalized estimating equations with an exchangeable correlation matrix.

Region of first residency was missing for 6.2% of intensivists and year of first residency completion was missing for 15.6%. Missing values were imputed using imputation for chained equations in model 2.