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Table 2 Estimation results of health service utilization

From: Medical insurance and health equity in health service utilization among the middle-aged and older adults in China: a quantile regression approach

Variables LMM Quantile
0.75 0.8 0.85 0.9 0.95
Insurances
 URBMI 0.660*** 1.608*** 1.578*** 1.473*** 1.403*** 1.152***
(0.100) (0.388) (0.287) (0.238) (0.224) (0.158)
 UEBMI 0.180 0.095 0.629 1.196*** 1.070*** 0.736***
(0.140) (0.258) (0.397) (0.382) (0.239) (0.220)
Demographic variables
 Age 0.009*** 0.022*** 0.034*** 0.047*** 0.055*** 0.061***
(0.003) (0.007) (0.009) (0.009) (0.008) (0.011)
 Gender −0.058 −0.069 − 0.106 − 0.039 0.105 0.071
(0.062) (0.084) (0.131) (0.145) (0.119) (0.101)
 Education 0.140* 0.278** 0.309* 0.297 0.237 0.388**
(0.074) (0.105) (0.158) (0.239) (0.154) (0.185)
 Marital 0.041 0.085 0.218* 0.213 0.227 0.239**
(0.075) (0.093) (0.118) (0.130) (0.168) (0.110)
 Log(Income) −0.008 −0.003 − 0.017 − 0.020 − 0.051*** − 0.047****
(0.007) (0.008) (0.016) (0.018) (0.018) (0.013)
Control variables
 SRH
Fair −1.400*** −3.284*** −2.051*** −1.580*** −1.325*** −0.854***
(0.076) (0.337) (0.297) (0.159) (0.111) (0.092)
Good −2.000*** −3.605*** −4.567*** − 3.841*** − 2.755*** − 1.565***
(0.110) (0.247) (0.254) (0.684) (0.399) (0.268)
Very good −2.100*** −3.566*** −4.624*** −5.380*** − 3.310*** −1.812***
(0.110) (0.261) (0.225) (0.370) (0.426) (0.289)
Excellent −2.100 −3.493*** −4.477*** −5.393*** −3.554*** − 2.712***
(0.270) (0.215) (0.340) (1.199) (1.109) (0.794)
 Demand 1.400*** 2.842*** 1.978*** 1.544*** 1.025*** 0.807***
(0.120) (0.342) (0.193) (0.284) (0.216) (0.188)
 ADLs 0.170*** 0.448*** 0.331*** 0.267*** 0.257*** 0.176***
(0.036) (0.121) (0.101) (0.090) (0.060) (0.059)
 IADLs 0.021 0.124 0.175* 0.185** 0.047 0.082
(0.038) (0.090) (0.088) (0.079) (0.058) (0.049)
 Hospitals 0.080 0.097 0.202 0.382** 0.378*** 0.327**
(0.062) (0.083) (0.121) (0.153) (0.121) (0.136)
 Health centers −0.002 0.129 0.140 0.140 0.167 0.197
(0.082) (0.156) (0.234) (0.258) (0.162) (0.183)
 Clinics −0.064 0.132 0.104 0.331* 0.344 0.227
(0.092) (0.139) (0.196) (0.197) (0.206) (0.202)
 Constant 2.100*** 2.663*** 2.998*** 2.893*** 4.000*** 3.872***
(0.260) (0.413) (0.583) (0.665) (0.563) (0.603)
 Observations 13,087 13,087 13,087 13,087 13,087 13,087
 AIC 67,592 73,835 75,668 77,410 79,072 80,905
 Log-likelihood −33,764 −36,885 −37,802 −38,673 −39,504 −40,420
  1. Notes
  2. (a) Standardize coefficients are reported; standard errors in parentheses
  3. (b) Significance level: ***p < 0.01, **p < 0.05, *p < 0.1
  4. (c) We further controlled provinces and chronic conditions. Because the categories of variables were too many, the results are not reported in detail