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Table 3 Binary logistic regression on one-month outpatient utilization

From: The comparison of healthcare utilization inequity between URRBMI and NCMS in rural China

One-month outpatient visit
Variables URRBMI (dy/dx) 95% CI NCMS (dy/dx) 95% CI
Per capita Household Income (Ref: the lowest)
 The second − 0.004 [− 0.049, 0.040] 0.030 [− 0.007, 0.068]
 The third −0.010 [− 0.053, 0.033] 0.044** [0.005, 0.083]
 The fourth − 0.005 [− 0.047, 0.037] 0.001 [− 0.035, 0.038]
 The highest 0.023 [−0.022, 0.067] 0.046** [0.004, 0.087]
 Gender (Ref: female) −0.036** [− 0.065, − 0.008] − 0.053*** [− 0.078, − 0.028]
 Age (Ref: 45–60) − 0.013 [− 0.045, 0.018] 0.017 [− 0.008, 0.042]
Self-assessed health (Ref: poor)
 Excellent − 0.062 [− 0.156, 0.033] − 0.130*** [− 0.184, − 0.076]
 Very good − 0.137*** [− 0.168, − 0.107] − 0.150*** [− 0.172, − 0.128]
 Good − 0.119*** [− 0.151, − 0.087] −0.122*** [− 0.148, − 0.096]
 Fair −0.099*** [− 0.131, − 0.067] −0.109*** [− 0.134, − 0.084]
 Chronic (Ref: not sick) 0.090*** [0.060, 0.120] 0.075*** [0.047, 0.104]
 Marital Status (Ref: single/divorced/widowed) −0.007 [− 0.051, 0.036] 0.000 [− 0.034, 0.035]
Education (Ref: illiterate)
 Primary 0.014 [− 0.022, 0.051] 0.001 [−0.029, 0.031]
 Junior/senior high school 0.004 [− 0.043, 0.050] 0.040* [− 0.002, 0.082]
 College or higher 0.011 [−0.036, 0.058] 0.002 [−0.037, 0.040]
Region (Ref: east)
 Central −0.006 [− 0.039, 0.027] 0.044*** [0.012, 0.077]
 West 0.022 [−0.013, 0.057] 0.063*** [0.032, 0.094]
 Community (Ref: township and village) 0.029 [−0.036, 0.093] −0.036 [− 0.094, 0.021]
 Sample size 3593   5409  
  1. The dy/dx in brackets indicates the marginal effect; * p < 0.10; ** p < 0.05; *** p < 0.01; The CI is confidence interval