Table 2. Results of dyadic-level concordance and patient-reported understanding.

Logistic regression models were specified to interpret the main fixed effect of “dyad [discordant].” The odds of having the outcome poor understanding of physician communication is either increased (odds ratio above 1) or decreased (odds ratio below 1) in discordant dyads (referent level) relative to concordant dyads. The models were adjusted for age, sex, race, and college education, with the referent level for interpreting the odds ratio placed in brackets. Standardized continuous variables indicated by (z). CI, confidence interval; ICC, intraclass correlation.

Predictor	Low HL patients			High HL patients
	Odds ratio	95% CI	P	Odds ratio	95% CI	P
Dyad [discordant]	1.385	1.003–1.911	0.048	1.117	0.855–1.460	0.418
Covariates
Age(z)	0.348	0.135–0.896	0.029	3.817	1.629–8.943	0.002
Sex [M]	0.966	0.703–1.326	0.829	0.991	0.759–1.294	0.945
Race [White]	0.643	0.438–0.945	0.025	0.476	0.347–0.653	<0.001
Charlson Index(z)	1.045	0.794–1.376	0.754	1.031	0.817–1.302	0.796
Some College [yes]	0.643	0.468–0.884	0.007	0.591	0.453–0.771	<0.001
Random effects
τ00 phys_ID	0.656			0.255
Intraclass correlation (ICC)	0.166			0.072
Marginal/conditional R2	0.035/0.196			0.070/0.136