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Table 2 Baseline characteristics for the UEBMI, URBMI and NRCMS insured residents before matching

From: Comparing the effects of China’s three basic health insurance schemes on the equity of health-related quality of life: using the method of coarsened exact matching

 

UEBMI-URBMI

UEBMI-NRCMS

URBMI-NRCMS

UEBMI

URBMI

p-value

UEBMI

NRCMS

p-value

URBMI

NRCMS

p-value

Genderb

 Malea

2878(56.66)

14,679(60.05)

< 0.001

2878(56.66)

18,335(48.41)

< 0.001

1467(60.05)

18,335(48.41)

< 0.001

 Female

2210(43.34)

976(39.95)

 

2210(43.34)

19,542(51.59)

 

976 (39.95)

19,542(51.59)

 

Age(years)b

 15–44a

1541(30.34)

1360(55.67)

< 0.001

1541(30.34)

16,343(43.15)

< 0.001

1360(55.67)

16,343(43.15)

< 0.001

 45–59

1574(30.99)

5459(22.31)

 

1574(30.99

12,679(33.47)

 

545(22.31)

12,679(33.47)

 

  > 60

1964(38.67)

538(22.02)

 

1964(38.67)

8855(23.38)

 

538(22.02)

8855(23.38)

 

Marital statusb

 Singlea

219(4.31)

542(22.21)

< 0.001

219 (4.31)

4796(12.68)

< 0.001

542(22.21)

4796(12.68)

< 0.001

 Marriage

4507(88.79)

1680(68.85)

 

4507(88.79)

29,857(78.94)

 

1680 (68.85)

29,857(78.94)

 

 Widowed

350(6.90)

218(8.93)

 

350(6.90)

3171(8.38)

 

218(8.93)

3171(8.38)

 

Education statusb

 illiteratea

105(2.07)

219(8.89)

< 0.001

105(2.07)

6700(17.69)

< 0.001

219(8.89)

6700(17.69)

< 0.001

 Primary school

402(7.91)

283(11.59)

 

402(7.91)

10,248(27.06)

 

283(11.59)

10,248(27.06)

 

 Junior middle school

1235(24.32)

763(31.24)

 

1235(24.32)

15,588(41.16)

 

763(31.24)

15,588(41.16)

 

 Senior middle school

1803(35.50)

778(31.86)

 

1803(35.50)

4347(11.48)

 

778(31.86)

4347(1.48)

 

 College degree or above

1534(30.20)

399(16.34)

 

1534(30.20)

987(2.61)

 

399(16.34)

987(2.61)

 

Commercial insuranceb

 Yes

257(5.06)

125(5.12)

0.917

257(5.06)

1501(3.96)

< 0.001

125(5.12)

1501(3.96)

0.005

 Noa

4822(94.94)

2318(94.88)

 

4822(94.94)

36,376(96.04)

 

2318 (94.88)

36,376(96.04)

 

Annual personal expenditurec

 Pooresta

3394.39(929.31)

3142.58(1106.71)

< 0.001

1652.39(510.40)

1515.80(510.27)

< 0.001

1572.44(443.31)

1465.75(488.55)

< 0.001

 2nd

5750.21(593.41)

5728.38(526.94)

 

2981.93(362.40)

2910.66(365.06)

 

2812.79(313.97)

2799.84(349.40)

 

 Middle

7780.67(635.76)

7772.94(618.55)

 

4395.03(451.18)

4286.20(453.74)

 

4107.09(424.03)

4077.30(410.67)

 

 4th

10,498.06(1045.30)

10,490.97(1108.87)

 

6476.46(758.45)

6248.56(756.70)

 

5985.61(669.48)

5852.68(667.65)

 

 Richest

19,615.01(9039.77)

19,365.29(7738.98)

 

13,895.05(7621.64)

11,869.14(5830.35)

 

12,583.80(6438.38)

11,177.45(5510.76)

 

N

5079

2443

 

5079

37,877

 

2443

37,877

 
  1. Mean (SD) or N (%) are reported
  2. Statistical test is used for balance checking between different health insurance schemes before matching. It was obvious that there was significant difference on any social-demographic characteristic (except commercial medical insurance between UEBMI and URBMI) between UEBMI and URBMI, UEBMI and NRCMS and URBMI and NRCMS respectively
  3. UEBMI Urban Employee Basic Medical Insurance, URBMI Urban Resident Basic Medical Insurance, NRCMS New Rural Cooperative Medical Scheme
  4. aReference levels in the Tobit regression
  5. bChi-square test
  6. cStudents’ T-test