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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).