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Table 3 Multi-logistic regression model of health insurance status and access to care

From: Health insurance coverage and access to care in China

  Physical examination (have vs. have never)
OR (95% CI)
Office visit (yes vs. no)
OR (95% CI)
Inpatient care (yes vs. no)
OR (95% CI)
Satisfied with quality (satisfied vs. dissatisfied)
OR (95% CI)
Insurance Status:
 High-coverage vs. uninsured 5.464 (4.370–6.831)* 1.496 (1.125–1.990)* 2.572 (1.862–3.552)* 1.269 (0.983–1.639)
 Moderate-coverage vs. uninsured 2.462 (1.983–3.057)* 1.398 (1.056–1.852)* 2.065 (1.498–2.846)* 1.237 (0.963–1.589)
 Low-coverage vs. uninsured 1.819 (1.485–2.229)* 1.344 (1.030–1.752)* 2.068 (1.520–2.812)* 1.263 (1.002–1.592)*
Age
 < 64 vs. ≥65 0.996 (0.928–1.069) 1.027 (0.939–1.124) 1.053 (0.963–1.151) 1.087 (0.991–1.191)
Gender
 Male vs. female 0.969 (0.905–1.037) 0.993 (0.910–1.084) 0.975 (0.894–1.063) 1.001 (0.916–1.094)
Residence
 Urban vs. Rural 1.005 (0.894–1.130) 0.926 (0.808–1.060) 0.929 (0.814–1.062) 0.919 (0.800–1.054)
 Suburban vs. Rural 0.935 (0.810–1.079) 0.989 (0.833–1.175) 1.011 (0.854–1.196) 0.971 (0.814–1.159)
Employment
 Non-agriculture vs. unemployed 1.061 (0.916–1.228) 0.679 (0.547–0.843)* 1.010 (0.838–1.218) 0.960 (0.793–1.162)
 Agriculture vs. unemployed 1.029 (0.904–1.172) 1.082 (0.919–1.273) 1.004 (0.851–1.184) 1.032 (0.869–1.226)
Education
 Elementary school vs. illiterate 1.202 (0.922–1.566) 1.073 (0.780–1.477) 1.091 (0.800–1.488) 0.824 (0.597–1.137)
 Middle school vs. illiterate 1.179 (1.027–1.355) 0.987 (0.827–1.178) 1.054 (0.889–1.251) 0.857 (0.717–1.025)
 High school vs. illiterate 1.052 (0.942–1.175) 0.966 (0.839–1.113) 0.988 (0.861–1.135) 0.903 (0.781–1.043)
 College vs. illiterate 0.991 (0.906–1.084) 1.028 (0.917–1.152) 0.967 (0.863–1.082) 0.915 (0.812–1.032)
Health status
 Good vs. not good 0.997 (0.925–1.074) 0.892 (0.809–0.984)* 0.855 (0.775–0.942)* 1.082 (0.980–1.195)
  1. *: P < 0.05