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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
  1. All values are weighted by sampling probability. The population that reports their health status as excellent in the URRBMI group has not received inpatient care in the past year, so the excellent row has no data