Table 6 The contribution of each independent variable to the inequity in one-month outpatient utilization
From: The comparison of healthcare utilization inequity between URRBMI and NCMS in rural China
One-month outpatient visit | ||||
|---|---|---|---|---|
Variables | URRBMI | NCMS | ||
Contribution | % | Contribution | % | |
Health needs | ||||
Gender (Ref: female) | −0.002 | −33.767 | − 0.003 | 22.213 |
Age (Ref: 45–60) | 0.005 | 90.462 | −0.004 | 33.257 |
Self-assessed health (Ref: poor) | −243.945 | 95.848 | ||
Excellent | 0.000 | −5.283 | −0.002 | 12.791 |
Very good | −0.006 | −117.140 | − 0.006 | 50.428 |
Good | −0.003 | −56.059 | −0.002 | 17.676 |
Fair | −0.004 | −65.463 | − 0.002 | 14.953 |
Chronic (Ref: not sick) | −0.009 | −166.180 | − 0.005 | 43.070 |
Socioeconomic factors | ||||
Marital status (Ref: single/divorced/widowed) | −0.001 | −11.915 | 0.000 | −0.100 |
Education (Ref: illiterate) | 21.991 | 20.638 | ||
Primary | 0.000 | −5.643 | 0.000 | 0.463 |
Junior/senior high school | 0.000 | 6.974 | 0.002 | −19.571 |
College or higher | 0.001 | 20.660 | 0.000 | −1.530 |
Per capita Household Income (Ref: the lowest) | 401.004 | −199.016 | ||
The second | 0.002 | 28.469 | −0.013 | 102.835 |
The third | 0.001 | 16.048 | 0.000 | 2.463 |
The fourth | −0.002 | −27.867 | 0.001 | −4.874 |
The highest | 0.021 | 384.354 | 0.037 | − 299.440 |
Region (Ref: east) | −9.933 | 35.751 | ||
Central | 0.000 | 6.274 | −0.005 | 37.437 |
West | −0.001 | −16.207 | 0.000 | −1.686 |
Community (Ref: township and village) | 0.002 | 44.027 | −0.003 | 22.846 |