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.