Table 5.

Correlations between Composites and Hospital Rating, and Intention to Recommend Item by Language, with Nested Linear Regression Models Examining the Effect of Language for the Same Items Regressed on the Composites

	Correlations		Nested Linear Regression Models
Item Hypothesized to be Associated with the Composites (Composites)	Eng.	Spa.	Unstandardized β Coefficient for Composite (SE) (w/out Language)*	Unstandardized β Coefficient for Composite (SE) (with Language)*	Change in Model Adj. R2 with Language†
Hospital rating
Nurse communications	0.69	0.52	2.131 (0.009)	2.130 (0.009)	0.001
Doctor communications	0.49	0.40	1.495 (0.011)	1.496 (0.011)	0.011
Communication about meds	0.45	0.33	0.961 (0.008)	0.961 (0.008)	0.001
Nursing services	0.61	0.45	1.564 (0.008)	1.564 (0.008)	0.001
Discharge information	0.29	0.24	1.799 (0.023)	1.801 (0.023)	0.001
Pain control	0.55	0.42	1.485 (0.009)	1.484 (0.009)	0.001
Physical environment	0.50	0.34	1.402 (0.010)	1.401 (0.010)	0.001
Recommend hospital
Nurse communications	0.60	0.51	0.708 (0.004)	0.708 (0.004)	<0.001
Doctor communications	0.44	0.40	0.506 (0.004)	0.506 (0.004)	<0.001
Communication about meds	0.39	0.28	0.311 (0.003)	0.311 (0.003)	<0.001
Nursing services	0.52	0.41	0.509 (0.003)	0.509 (0.003)	<0.001
Discharge information	0.26	0.29	0.606 (0.009)	0.606 (0.009)	<0.001
Pain control	0.48	0.38	0.496 (0.004)	0.496 (0.004)	<0.001
Physical environment	0.42	0.32	0.448 (0.004)	0.448 (0.004)	<0.001

Note: Correlation and regression analyses were run using the multiply imputed sample, English n =76,696 and Spanish n =2,344. Hypothesis testing for the nested regression models was based on the original sample size.

^*Adjusted for overall and mental health status, age, gender, education, race/ethnicity, state where surveyed, survey mode, and service line.

^†All were statistically significant at p <.001.