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Table 6 Multilevel logistic regression analysis, random effects, population who sought health care.

From: The role country of birth plays in receiving disability pensions in relation to patterns of health care utilisation and socioeconomic differences: a multilevel analysis of Malmo, Sweden

  Women    Men   
  Country of birth variance (SE) MOR DIC Country of birth variance (SE) MOR DIC
Random effects       
Model A (Empty) 0.561 (0.133) 2.04 29 633 0.273 (0.073) 1.65 21 151
Model B* 0.439 (0.117) 1.88 26 390 0.228 (0.068) 1.60 18 859
Random slopes model C*       
   Living alone 0.283 (0.072) 1.66 25 732 0.158 (0.055) 1.46 18 672
   Married 0.593 (0.153) 2.08   0.318 (0.094) 1.71  
   Low educational achievement 0.572 (0.138) 2.06 25 757 0.254 (0.076) 1.62 18 856
   High educational achievement 0.358 (0.096) 1.77   0.241 (0.066) 1.60  
Health care visits       
   No public general practitioner visited 0.476 (0.120) 1.93 25 753 0.291 (0.088) 1.63 18 362
   Public general practitioner visited 0.428 (0.109) 1.87   0.272 (0.084) 1.63  
   No public specialist visited 0.608 (0.148) 2.10 25 718 (no convergence)   
   Public specialist visited 0.348 (0.099) 1.76   (no convergence)   
   No private general practitioner visited 0.471 (0.123) 1.92 25 760 0.248 (0.080) 1.62 18 353
   Private general practitioner visited 0.500 (0.140) 1.96   0.323 (0.111) 1.69  
   No private specialist visited 0.387 (0.097) 1.81 25 757 0.254 (0.089) 1.60 18 365
   Private specialist visited 0.539 (0.138) 2.01   0.297 (0.076) 1.66  
  1. * Age-adjusted
  2. SE = standard error
  3. MOR = median odds ratio
  4. DIC = deviance information criterion