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Table 9 The effects of Urban-rural Residents Medical Insurance Integration on frequency of health care utilization using PSM-DID analysis

From: Effects of health insurance integration on health care utilization and its equity among the mid-aged and elderly: evidence from China

Variables

Number of outpatients visits last month

Number of inpatients last year

β

95% CI

β

95% CI

Total population

 year 2015

0.17

−0.07

0.41

0.27***

0.10

0.43

 Integration

−0.04

−0.35

0.27

−0.22***

− 0.35

−0.10

 year 2015 × Integration

0.96*

−0.07

1.99

0.27

−0.30

0.85

Urban

 year 2015

−0.18

−0.60

0.24

0.44*

−0.01

0.90

 Integration

0.10

−0.51

0.72

−0.11

−0.33

0.10

 year 2015 × Integration

0.62

−0.91

2.16

−0.20

−1.12

0.73

Rural

 year 2015

0.27*

−0.02

0.55

0.26**

0.05

0.47

 Integration

−0.13

−0.47

0.21

−0.32***

− 0.47

−0.16

 year 2015 × Integration

1.29*

−0.07

2.66

0.43

−0.30

1.17

Poor

 year 2015

0.05

−0.38

0.49

0.22

−0.06

0.50

 Integration

−0.25

−0.75

0.26

−0.33***

− 0.53

−0.13

 year 2015 × Integration

2.59*

−0.08

5.26

1.46*

−0.20

3.11

Medium

 year 2015

0.26

−0.19

0.71

0.18

−0.16

0.52

 Integration

−0.24

−0.62

0.14

−0.09

− 0.34

0.15

 year 2015 × Integration

0.57

−0.47

1.61

0.02

−0.64

0.69

Rich

 year 2015

0.06

−0.34

0.45

0.41***

0.16

0.66

 Integration

0.26

−0.40

0.91

−0.26***

− 0.43

−0.09

 year 2015 × Integration

−0.08

−1.16

1.00

−0.18

−1.01

0.65

  1. β, coefficients; CI, confidence interval; PSM-DID, propensity score matching combined with difference-in-differences
  2. *, P < 0.1; **, P < 0.05; ***, P < 0.01