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Table 3 Ordinal logistic regression model to predict factors associated with multiple ED visits 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

S.E.

t-test

P-value

Odds ratio (99% CI)

Intercept: no visit | 1 visit

1.82

0.2

8.88

< 0.001

6.14 (3.63, 10.40)

Intercept: 1 visit | 2 visits

2.99

0.21

14.06

< 0.001

19.82 (11.46, 34.25)

Intercept: 2 visits | 3 visits

4.38

0.23

18.93

< 0.001

79.93 (44.04, 145.08)

Intercept: 3 visits | 4 visits

5.04

0.27

18.66

< 0.001

154.98 (77.27, 310.86)

Child age is younger than 12 years old

0.01

0.1

0.15

0.88

1.01 (0.79, 1.30)

Sex is male

−0.08

0.09

−0.91

0.36

0.92 (0.72, 1.17)

Health is classified as poor, fair, or good

0.53

0.13

4.17

< 0.001

1.70 (1.23, 2.36)

Covered by private insurance

−0.4

0.09

−4.36

< 0.001

0.67 (0.53, 0.85)

Family reported difficulty paying bills in last 12 months

0.36

0.11

3.32

< 0.001

1.43 (1.08, 1.90)

Child has asthma

0.52

0.11

4.81

< 0.001

1.69 (1.28, 2.24)

Child has diabetes

1.14

0.37

3.09

0.002

3.12 (1.21, 8.02)

Child has ASD diagnosis

<.01

0.25

0

1

1.00 (0.53, 1.88)

Child lived with an individual with substance use disorder

0.23

0.13

1.73

0.08

1.26 (0.89, 1.77)

Child has low food security

0.41

0.11

3.88

< 0.001

1.51 (1.15, 1.99)

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

−0.01

0.21

−0.06

0.95

0.99 (0.58, 1.69)

Child is at higher risk of MBH conditions

0.54

0.16

3.48

< 0.001

1.72 (1.15, 2.58)

Model statistics parameters

 Deviance

6879.81

   Â