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Table 2 Logistic regression model to predict factors associated with at least 1 ED visit within the prior year among all children

From: Emergency department visits for children identified as at risk of mental and behavioral conditions in the United States: an analysis of the 2019 NHIS data

Factor

Estimate

SE

t-value

P value

Odds ratio (99% CI)

(Intercept)

−1.82

0.21

−8.76

< 0.001

0.16 (0.10, 0.28)

Child age is younger than 12 years old

<.01

0.10

0.00

0.999

1.00 (0.78, 1.28)

Sex is male

−0.10

0.09

−1.03

0.30

0.91 (0.72, 1.15)

Health is classified as poor, fair, or good

0.51

0.13

4.04

< 0.001

1.66 (1.20, 2.29)

Covered by private insurance

−0.40

0.09

−4.23

< 0.001

0.67 (0.53, 0.86)

Family reported difficulty paying bills in last 12 months

0.37

0.11

3.46

< 0.001

1.45 (1.10, 1.92)

Child has asthma

0.51

0.11

4.68

< 0.001

1.67 (1.26, 2.21)

Child has diabetes

1.41

0.44

3.23

0.001

4.10 (1.33, 12.64)

Child has ASD diagnosis

0.03

0.24

0.14

0.892

1.03 (0.55, 1.94)

Child lived with an individual with substance use disorder

0.23

0.13

1.79

0.07

1.26 (0.90, 1.76)

Child has low food security

0.41

0.11

3.83

< 0.001

1.51 (1.14, 1.99)

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

<.01

0.21

0.00

0.999

1.00 (0.59, 1.71)

Child is at higher risk of MBH conditions

0.51

0.15

3.31

< 0.001

1.66 (1.12, 2.46)

Model statistics parameters

 AIC

  

5096.5

 

 Dispersion parameter

  

1.00

Â