Table 7 The contribution of each independent variable to the inequity in inpatient utilization
From: The comparison of healthcare utilization inequity between URRBMI and NCMS in rural China
Inpatient visit | ||||
|---|---|---|---|---|
Variables | URRBMI | NCMS | ||
Contribution | % | Contribution | % | |
Health needs | ||||
Gender (Ref: female) | 0.001 | −1.575 | 0.000 | 0.038 |
Age (Ref: 45–60) | −0.016 | 19.239 | − 0.006 | 11.975 |
Self-assessed health (Ref: poor) | 19.062 | 22.525 | ||
Excellent | / | / | −0.001 | 2.453 |
Very good | −0.008 | 9.554 | −0.006 | 11.249 |
Good | −0.003 | 3.312 | −0.002 | 3.895 |
Fair | −0.005 | 6.196 | −0.003 | 4.928 |
Chronic (Ref: not sick) | −0.009 | 10.538 | −0.007 | 12.821 |
Socioeconomic factors | ||||
Marital status (Ref: single/divorced/widowed) | −0.009 | 11.442 | −0.002 | 3.514 |
Education (Ref: illiterate) | 5.086 | 1.544 | ||
Primary | 0.000 | −0.027 | 0.001 | −1.534 |
Junior/senior high school | −0.001 | 0.613 | −0.001 | 1.751 |
College or higher | −0.004 | 4.500 | −0.001 | 1.327 |
Per capita Household Income (Ref: the lowest) | 22.228 | 39.707 | ||
The second | −0.013 | 15.591 | 0.006 | −10.441 |
The third | −0.001 | 1.312 | 0.000 | 0.058 |
The fourth | 0.003 | −3.010 | −0.002 | 2.870 |
The highest | −0.007 | 8.335 | −0.025 | 47.220 |
Region (Ref: east) | 2.09 | 1.824 | ||
Central | 0.000 | −0.433 | −0.001 | 2.042 |
West | −0.002 | 2.523 | 0.000 | −0.218 |
Community (Ref: township and village) | 0.000 | −0.538 | −0.003 | 4.812 |