Table 3:

Predictors of preference concordant outcomes that achieved significance in multivariable models controlling for physician type.

Model	Predictor	Primary Outcome			Secondary Outcomes
		Intubate			ICU		DNR/DNI		CMO
Step	Code	OR	95% CI	c-stat	OR	95% CI	OR	95% CI	OR	95% CI
1				0.904
	SC23	0.006	<0.001, 0.066		ns		ns		ns
2				0.903
	SC27	0.038	0.003, 0.487		ns		ns		ns
	SC13	0.092	0.014, 0.595		ns		ns		ns
3				0.871
	SC13	0.036	0.007, 0.177		ns		13.98	2.892, 67.569	ns
	SC14	ns			0.245	0.082, 0.737	11.647	2.232, 60.787	ns
	SC30	ns			0.069	0.006, 0.756	ns		ns
	SC31	ns			0.128	0.024, 0.683	ns		ns

Note: The Step 1 model includes SC9, SC13, SC14, SC17, SC19, SC23, SC27, SC28, SC30, SC31, and K52 with Physician Type as a covariate. The step 2 model is identical except that SC23 is eliminated. Step 3 eliminates both SC23 and SC27. Predictor variables are modeled as binary indicator variables indicating whether or not a particular code was ever applied to text from a specific simulation. Coefficients are presented for only those variables achieving statsistical significance; model coefficients for all variables are available on request to the senior author.

Abbreviations: Odds Ratio (OR); Confidence Interval (CI); c-statistic (c-stat); Intensive Care Unit (ICU); Do not resuscitate/Do not intubate (DNR/DNI); Do Comfort Measures Only (CMO); not statistically significant (ns).