Table 3.
Multivariable ordinal logistic regression model assessing the relationship between nursing home characteristics and HIT maturity stage (n=719).
Nursing home characteristics | Adjusted cumulative odds ratio | 95% CI | P value | ||||
Bed size (ref: >120) |
|
||||||
|
60-12 | 0.99 | 0.67 (1.46) | .96 | |||
|
<60 | 0.45 | 0.28 (0.73) | .001a | |||
Location (ref: metro) |
|
||||||
|
Micro | 0.65 | 0.41 (1.03) | .07 | |||
|
Rural | 0.45 | 0.29 (0.71) | .001a | |||
|
Small town | 0.57 | 0.33 (1.00) | .045a | |||
For-profit |
|
||||||
|
Nonprofit vs for-profit | 0.84 | 0.61 (1.17) | .30 | |||
Chain |
|
||||||
|
Chain vs nonchain | 1.12 | 0.78 (1.61) | .54 | |||
Occupancy rate | 1.71 | 0.63 (4.66) | .30 |
aP value significant at .05 level.