Table 3.

Logistic regression models predicting child emergency department utilisation

	Children with siblings (n=4519)
	Model 1		Model 2
	OR (95% CI)	P values	OR (95% CI)	P values
Child characteristics
Child age band (vs 0 to 5)
6–10	0.18 (0.14 to 0.22)	<0.001	0.18 (0.14 to 0.22)	<0.001
11–15	0.19 (0.15 to 0.25)	<0.001	0.19 (0.15 to 0.25)	<0.001
Child female (vs male)	0.75 (0.63 to 0.89)	0.001	0.74 (0.62 to 0.88)	<0.001
Child Index of Multiple Deprivation (IMD) quintile (vs 1)
2	1.02 (0.77 to 1.37)	0.872	1.06 (0.79 to 1.41)	0.711
3	0.91 (0.67 to 1.23)	0.521	0.95 (0.70 to 1.29)	0.748
4	0.96 (0.71 to 1.30)	0.791	0.99 (0.73 to 1.34)	0.949
5	1.05 (0.78 to 1.41)	0.766	1.07 (0.80 to 1.45)	0.635
Child long-term condition (vs not)	2.64 (1.88 to 3.71)	<0.001	2.58 (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 attendance	–	–	1.27 (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).