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Table 5 Negative binomial regression model for doctor visits and hospital days (children)

From: Direct costs of inequalities in health care utilization in Germany 1994 to 2009: a top-down projection

 

Boys (n = 8,260)

Girls (n = 8,004)

 

Doctor visits

Hospital days

Doctor visits

Hospital days

 

OR

95%-CI

OR

95%-CI

OR

95%-CI

OR

95%-CI

Age

 

0-2

1.80*

[1.69.1.92]

2.47*

[1.55.3.94]

1.77*

[1.66.1.89]

2.70*

[1.64.4.45]

3-6

1.55*

[1.46.1.65]

0.90

[0.59.1.36]

1.41*

[1.33.1.50]

1.06

[0.67.1.66]

7-10

1.08*

[1.02.1.15]

1.07

[0.70.1.63]

1.02

[0.97.1.09]

1.28

[0.82.2.00]

11-13

Ref.

 

Ref.

 

Ref.

 

Ref.

 

14-17

1.10*

[1.04.1.17]

1.27

[0.83.1.92]

1.43*

[1.35.1.51]

2.94*

[1.90.4.54]

Income position

 

< 60%

1.12*

[1.05.1.21]

1.85*

[1.12.3.06]

1.07*

[1.00.1.15]

2.86*

[1.68.4.88]

60%- < 150%

1.05

[0.99.1.12]

1.48

[0.93.2.36]

1.04

[0.98.1.11]

1.18

[0.72.1.92]

≥150%

Ref.

 

Ref.

 

Ref.

 

Ref.

 

Statistics

 

chi2

566

35

486

66

    

p

0.000

0.000

0.000

0.000

    
  1. Data: KiGGS 2003-06.
  2. OR Odds ratios [95% CI]: 95% confidence interval of the odds ratios based on robust standard errors. Ref.: reference category of indicator variables. All indicator variables are coded 0 = no and 1 = yes. Under regression diagnostics, p represents the p value for the likelihood-ratio test for the respective model. * p< 0.05.