Table 3

Logistic regression models predicting child emergency department utilisation

Children with siblings (n=4519)
Model 1Model 2
OR (95% CI)P valuesOR (95% CI)P values
Child characteristics
Child age band (vs 0 to 5)
 6–100.18 (0.14 to 0.22)<0.0010.18 (0.14 to 0.22)<0.001
 11–150.19 (0.15 to 0.25)<0.0010.19 (0.15 to 0.25)<0.001
Child female (vs male)0.75 (0.63 to 0.89)0.0010.74 (0.62 to 0.88)<0.001
Child Index of Multiple Deprivation (IMD) quintile (vs 1)
 21.02 (0.77 to 1.37)0.8721.06 (0.79 to 1.41)0.711
 30.91 (0.67 to 1.23)0.5210.95 (0.70 to 1.29)0.748
 40.96 (0.71 to 1.30)0.7910.99 (0.73 to 1.34)0.949
 51.05 (0.78 to 1.41)0.7661.07 (0.80 to 1.45)0.635
Child long-term condition (vs not)2.64 (1.88 to 3.71)<0.0012.58 (1.84 to 3.63)<0.001
Parent characteristics
Parent with asthma (vs not)-0.95 (0.68 to 1.31)0.741
Parent with depression (vs not)1.41 (1.10 to 1.80)0.007
Parent with diabetes (vs not)0.97 (0.64 to 1.46)0.872
Parent with epilepsy (vs not)1.17 (0.48 to 2.85)0.728
Parent with hypertension (vs not)0.86 (0.64 to 1.15)0.310
Parent with a mental health condition (vs not)-0.67 (0.31 to 1.46)0.319
Parent with osteoarthritis (vs not)0.95 (0.56 to 1.62)0.860
Parent emergency department attendance1.27 (1.12 to 1.44)<0.001
  • Models first control for just child characteristics (model 1), and then both child and parent characteristics (model 2).