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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