Table 4 Logistic regression model to predict factors associated with at least one ED visit among children at higher risks of MBH conditions within the prior year

(Intercept)

0.39

0.60

0.65

0.52

1.48 (0.31, 7.02)

Child age is younger than 12 years old

−0.12

0.28

−0.44

0.66

0.89 (0.43, 1.81)

Sex is male

−0.83

0.31

−2.65

0.01

0.43 (0.19, 0.98)

Health is classified as poor, fair, or good

0.12

0.28

0.43

0.67

1.13 (0.55, 2.33)

Covered by private insurance

−0.17

0.33

−0.52

0.60

0.84 (0.36, 1.96)

Family reported difficulty paying bills in last 12 months

0.40

0.26

1.52

0.13

1.49 (0.76, 2.93)

Child has asthma

0.80

0.29

2.74

0.01

2.23 (1.05, 4.74)

Child has diabetes

1.54

1.42

1.08

0.28

4.66 (0.12, 181.86)

Child has ASD diagnosis

−0.06

0.35

−0.16

0.87

0.94 (0.39, 2.31)

Child lived with an individual with substance use disorder

0.24

0.28

0.87

0.39

1.27 (0.62, 2.58)

Child has low food security

0.79

0.29

2.75

0.01

2.21 (1.05, 4.63)

Child’s primary care setting is doctor’s office/health center

−1.51

0.54

−2.77

0.01

0.22 (0.05, 0.90)

Model statistics parameters

 AIC

480.91

 Dispersion parameter

1.05