Table 3.

Predictors of Interpreter use for Three Types of Clinical Encounters* Among Patients (N = 234) at Two Hospitals in The San Francisco Bay Area, 2005-2008

	With physician at admission		With physicians since admission		With nurses since admission
	MV Adjusted OR (95% CI)	P value	MV Adjusted OR (95% CI)	P value	MV Adjusted OR (95% CI)	P value
Age (per 10-year increase)	1.4 (1.1-1.8)	0.001	1.2 (0.9-1.4)	0.14	1.2 (1.0-1.5)	0.10
Sex		0.61		0.87		0.90
Men	0.9 (0.5-1.5)		1.0 (0.5-1.7)		1.0 (0.5-1.8)
Women	Ref		Ref		Ref
Education		1.0		.30		0.05
Less than High School graduate	1.0 (0.5-2.0)		1.4 (0.7-2.8)		2.2 (1.0-4.9)
High School graduate or more	Ref		Ref		Ref
Primary language		0.44		0.30		0.02
Cantonese/Mandarin	1.5 (0.5-4.6)		1.8 (0.6-5.1)		3.3 (1.2-9.3)
Spanish	Ref		Ref		Ref
Medical co-morbidity score (per 1-pt increase)	1.0 (0.9-1.3)	0.64	0.9 (0.8-1.1)	0.51	0.9 (0.8-1.1)	0.41
Hospital Service		0.25		0.02		0.003
Medicine	0.7 (0.4-1.3)		2.1 (1.1-3.9)		2.6 (1.4-4.8)
Surgical	Ref		Ref		Ref

*All odds ratios for a model adjusted for age, sex, education, primary language, medical co-morbidity score and hospital service