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Table 5 Results of logistic regression on factors affecting integretion willingness

From: Integration of rural and urban healthcare insurance schemes in China: an empirical research

  Support Oppose
  B Odds ratio (95% CI) P B Odds ratio (95% CI) P
Male 0.039 1.040 (0.722–1.497) 0.834 0.266 1.305 (0.851–2.003) 0.223
Age <20 –0.391 0.676 (0.283–1.618) 0.380 0.333 1.394 (0.553–3.515) 0.481
Age >40 0.007 1.007 (0.691–1.467) 0.972 –0.348 0.706 (0.454–1.100) 0.124
URBMI 0.202 1.224 (0.783–1.914) 0.376 –0.470 0.625 (0.378–1.033) 0.067
NRCMS 0.368 1.444 (0.924–2.259) 0.107 –1.286 0.276 (0.157–0.488) P < 0.001
Elementary school or lower 0.083 1.087 (0.697–1.695) 0.713 –0.835 0.434 (0.230–0.817) 0.010
College or higher –0.286 0.752 (0.472–1.197) 0.229 1.091 2.979 (1.738–5.104) P < 0.001
Household annual income per capita <10000 RMB 0.355 1.426 (0.912–2.230) 0.119 –0.956 0.384 (0.195–0.759) 0.006
Household annual income per capita 20000 RMB –0.257 0.774 (0.497–1.205) 0.256 1.017 2.764 (1.694–4.509) P < 0.001
Foshan –0.314 0.730 (0.491–1.244) 0.248 –0.041 0.960 (0.515–1.789) 0.960
Shenyang –0.097 0.907 (0.526–1.564) 0.726 –0.185 0.831 (0.434–1.590) 0.831
Changchun –0.573 0.564 (0.335–0.948) 0.031 –0.031 0.970 (0.531–1.770) 0.970
  1. Integration willingness (1 = support, 2 = oppose, 3 = not sure).