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Table 3 Logistic regression: relationships between variables and CHE after NCMS reimbursement

From: Financial protection effects of modification of China’s New Cooperative Medical Scheme on rural households with chronic diseases

  B S.E. Wald df p-value Exp (B) 95% C.I. for EXP(B)
         Lower Upper
Hubei* H-income#    33.119 4 0.000    
  → Poor -0.713 0.348 4.207 1 0.040 0.490 0.248 0.969
  → Middle -2.375 0.533 19.865 1 0.000 0.093 0.033 0.264
  → Rich -2.808 0.826 11.566 1 0.001 0.060 0.012 0.304
  → Very rich -7.339 1.628 20.328 1 0.000 0.001 0.000 0.016
  H-chro 0.850 0.210 16.391 1 0.000 2.339 1.550 3.529
  Op-OOP 0.015 0.002 58.214 1 0.000 1.015 1.011 1.019
  Ip-OOP 0.001 0.000 50.431 1 0.000 1.001 1.000 1.001
  Constant -2.378 0.266 79.885 1 0.000 0.093   
Chongqing** H-income#    40.500 4 0.000    
  → Poor -1.759 0.370 22.546 1 0.000 0.172 0.083 0.356
  → Middle -1.982 0.540 13.486 1 0.000 0.138 0.048 0.397
  → Rich -3.865 1.134 11.618 1 0.001 0.021 0.002 0.194
  → Very rich -7.955 2.148 13.709 1 0.000 0.000 0.000 0.024
  H-chro 1.138 0.269 17.891 1 0.000 3.120 1.842 5.286
  Op-OOP 0.012 0.002 42.400 1 0.000 1.012 1.008 1.016
  Ip-uti 0.942 0.329 8.227 1 0.004 2.566 1.348 4.886
  Ip-OOP 0.000 0.000 13.304 1 0.000 1.000 1.000 1.001
  Constant -2.300 0.322 51.045 1 0.000 0.100   
Zhejiang*** H-size -0.415 0.169 6.023 1 0.014 0.660 0.474 0.920
  H-income#    11.202 4 0.024    
  → Poor -0.779 0.659 1.399 1 0.237 0.459 0.126 1.668
  → Middle -1.185 0.759 2.438 1 0.118 0.306 0.069 1.353
  → Rich -2.355 0.918 6.577 1 0.010 0.095 0.016 0.574
  → Very rich -3.126 1.075 8.456 1 0.004 0.044 0.005 0.361
  H-chro 1.282 0.307 17.425 1 0.000 3.603 1.974 6.578
  Op-OOP 0.009 0.001 37.985 1 0.000 1.009 1.006 1.012
  Ip-uti 1.711 0.488 12.298 1 0.000 5.532 2.127 14.390
  Ip-OOP 0.000 0.000 7.753 1 0.005 1.000 1.000 1.000
  Constant -1.982 0.545 13.211 1 0.000 0.138   
  1. * -2 Log likelihood is 307.754, Cox & Snell R Square is 0.529, and Nagelkerke R Square is 0.745;
  2. **-2 Log likelihood is 260.598, Cox & Snell R Square is 0.473, and Nagelkerke R Square is 0.688;
  3. ***-2 Log likelihood is 142.552, Cox & Snell R Square is 0.437, and Nagelkerke R Square is 0.719;
  4. #Reference group is the very poor quintile.