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.