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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
  1. All values are weighted by sampling probability