Crowding in the emergency department in the absence of boarding – a transition regression model to predict departures and waiting time

Table 1 Results of the transition regression model

	OR (95%CI)	P-value	Relative change in waiting time^a
New arrival, A(t)	0.942 (0.937;0.948)	< 0.0001	106%
Change in queue length, Q(t) - Q(t-1)	0.978 (0.973;0.984)	< 0.0001	102%
Queue length in past time interval, Q(t)	0.991 (0.989;0.993)	< 0.0001	101%
Departure in time interval half an hour previous, D(t)	1.008 (0.999;1.016)	0.0596	99%
Departure in time interval one hour previous, D(t-1)	1.012 (1.007;1.018)	< 0.0001	99%
Departure in time interval one and a half hour previous, D(t-2)	1.009 (1.004;1.015)	0.0004	99%
Shift
Day	1
Evening	1.103 (1.070;1.137)	< 0.0001	91%
Night	1.145 (1.092;1.202)	< 0.0001	87%
Weekday/weekend
Weekday	1
Weekend	1.002 (0.960;1.046)	0.9234	100%
Shift x weekday/weekend
Day x weekday	1
Evening x weekend	1.152 (1.092;1.216)	< 0.0001	87%
Night x weekend	0.943 (0.879;1.012)	0.1009	106%

^aThe change in expected waiting time corresponding to the OR. Abbreviations: OR odds ratio, 95%CI 95% confidence interval

ISSN: 1471-2288