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Table 1 Results of the transition regression model

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

  OR (95%CI) P-value Relative change in waiting timea
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%
  1. aThe change in expected waiting time corresponding to the OR. Abbreviations: OR odds ratio, 95%CI 95% confidence interval