Table 2.

Characteristics Associated with Improving Compliance

Characteristic	Logistic regression model Odds ratio (95% CI)	Linear regression model Coefficient (95% CI)
Bed size (ref: 100 or fewer beds)
101–250	2.43** (1.66–3.55)	0.13** (0.06–0.19)
251+	3.07** (1.83–5.14)	0.16** (0.08–0.25)
Ownership structure (ref: non-profit)
For-profit	0.75 (0.46–1.22)	−0.05 (−0.13 to 0.03)
Government	0.46** (0.32–0.65)	−0.09** (−0.13 to −0.04)
Other	0.82 (0.63–1.08)	−0.04 (−0.08 to 0.01)
Region (ref: northeast)
Midwest	0.84 (0.52–1.35)	−0.02 (−0.09 to 0.05)
Pacific	1.71 (0.19–15.12)	0.08 (−0.31 to 0.48)
South	0.89 (0.54–1.46)	−0.01 (−0.09 to 0.06)
West	0.70 (0.34–1.41)	−0.04 (−0.14 to 0.05)
Setting (ref: rural)
Urban	0.57** (0.42–0.78)	−0.08** (−0.12 to −0.04)
System-owned (ref: no)
Yes	4.62** (3.26–6.56)	0.19** (0.15–0.23)

This table presents multivariable logistic regression and multivariable linear regression results on the sample of 3685 hospitals in our analytic sample that were not compliant in the baseline period. Standard errors are clustered at the state level. *p<0.1; **p< 0.05