Table 5.

Odds ratios from multivariable logistic regression models examining the demographics of patients with increased travel distances or times under different closure policy scenarios

	Transferring patients from lowest 50% by volume hospitals		Transferring patients from lowest 75% by volume hospitals
Demographic variable	OR (95% CI)	p value	OR (95% CI)	p value
Age	1.0 (0.9-1.0)	0.31	1.0 (1.0-1.0)	< 0.03
Gender
Women	ref		ref
Men	1.2 (0.9-1.7)	0.26	1.0 (0.9-1.2)	0.82
Race
White	ref		ref
Nonwhitea	0.3 (0.2-0.7)	0.002	0.1 (0.1-0.2)	< 0.001
Ethnicity
Not Hispanic	ref		ref
Hispanic	12 (5-30)	< 0.001	3.2 (2.2-4.7)	< 0.001
Unknown	3.3 (1.9-5.8)	< 0.001	8.9 (6.6-12)	< 0.001
Primary payer
Private	ref		ref
Government	1.0 (0.7-1.5)	0.95	1.0 (0.8-1.2)	0.99
Other (such as self or workers compensation)	3.5 (1.9-6.5)	< 0.001	1.7 (1.2-2.2)	< 0.001
Comorbidities	1.0 (0.9-1.1)	0.90	1.0 (1.0-1.1)	0.89
Patient ZIP code median incomeb
High	ref		ref
Low	70 (17-283)	< 0.001	3.9 (3.2-4.6)	< 0.001
Patient geographic location
Urban	ref		ref
Rural	98 (50-192)	< 0.001	12 (10-14)	< 0.001

^aOther races include Asian, Native American, Pacific Islander, and unknown.

^bHigh: > median income for New York State (USD 43,100); low: < median income for New York State.