Table 3

Output of regression models

	sICMED score		NEDOCS score
Model specification	Standardised coefficient (95% CI)*	p Value	Standardised coefficient (95% CI)*	p Value
Outcome: perception of danger
Simple regression	0.73 (0.58 to 0.88)	<0.0001	0.77 (0.63 to 0.91)	<0.0001
Random intercept	0.39 (0.19 to 0.58)	0.0002	0.67 (0.48 to 0.85)	<0.0001
AR (1) covariance structure	−0.03 (−0.19 to 0.12)	0.6637	0.59 (0.37 to 0.81)	<0.0001
AR (1)+hour of day	−0.03 (−0.19 to 0.14)	0.7547	0.53 (0.26 to 0.79)	0.0002
Outcome: perception of crowding
Simple regression	0.63 (0.45 to 0.80)	<0.0001	0.78 (0.64 to 0.92)	<0.0001
Random intercept	0.45 (0.24 to 0.65)	<0.0001	0.77 (0.59 to 0.95)	<0.0001
AR (1) covariance structure	0.04 (−0.12 to 0.20)	0.6376	0.68 (0.46 to 0.90)	<0.0001
AR (1)+hour of day	0.09 (−0.07 to 0.25)	0.2618	0.62 (0.38 to 0.85)	<0.0001

*Each coefficient represents the standardised coefficient from a different regression model—that is, 16 models are represented here. The standardised coefficients can be thought of as the number of SDs that the outcome changes (either perception of danger or perception of crowding) for a 1 SD change in exposure (either sICMED or NEDOCS score).
NEDOCS, National Emergency Department Overcrowding Score.