Table 2.

Adjusted Model Estimates for Change in Length of Stay

Model	Intervention site relative to control site in the post-intervention vs. pre-intervention period
	Change in length of stay in days	95 % CI	P value
Main model	−0.77	−1.14, −0.40	<0.001
Main model - adjusted by within hospital location	−0.77	−1.14, −0.40	<0.001
Main model - adjusted by using only each patient's first admission	−0.78	−1.19, −0.37	<0.001
Main model - adjusted by patient comorbidities	−0.77	−1.14, −0.40	<0.001
	Relative reduction in length of stay	95 % CI	P value
Gamma regression model	0.86	0.80, 0.91	<0.001
	Change in median length of stay in days	95 % CI	P value
Quantile regression model	−0.49	−0.72, −0.25	<0.001

*Gamma regression model may better fit data with positive skew, and the point estimate is the relative reduction in length of stay. For example, an estimate of 0.90 means that there was a 10 % relative reduction in length of stay at the intervention site compared to the control site in the post-intervention period versus the pre-intervention period

**Quantile regression model estimates the change in median length of stay. A change in median length of stay may indicate that changes are not just attributable to reductions in longer lengths of stay, but also to changes in shorter lengths of stay