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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.