Table 2.

Coefficients for Race and Hispanic Ethnicity for Multiple Regression Equations With Dependent Variables of LOS, FIM Efficiency, and Discharge FIM Instrument Ratings (N=161 692)

Models	Model 1†	Model 2†	Model 3†
Variables	LOS	FIM	FIM
		efficiency	discharge
Race	b (SE)	b (SE)	b (SE)
White versus all other groups	0.41 (0.23)	0.09 (0.02)*	1.15 (0.09)*
Black versus white	−0.25 (0.22)	−0.12 (0.03)*	−1.72 (0.10)*
Hispanic versus white	−0.18 (0.24)	−0.06 (0.04)	−0.96 (0.19)*
Otherversus white	0.27 (0.17)	−0.02 (0.01)	−0.27 (0.13)
R2 (for entire model)	0.14	0.21	0.68

^*Significant at P<0.01.

^†Variables in regression models were entered as blocks. The first block included gender, age, hemorrhagic versus nonhemorrhagic stroke, marital status, no. of comorbiditites. The second block included admission FIM instrument ratings, insurance variables (Medicare, Medicaid, commercial), and time from stroke onset to inpatient rehabilitation admission. Models 2 and 3 also included LOS as a covariate in the second block. The third block included the racial/ethnic variables (non-Hispanic white, black, Hispanic, and other).