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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