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Table 1 General characteristics

From: The effect of high medical expenses on household income in South Korea: a longitudinal study using propensity score matching

 

Unit: N, %

Variables

Before propensity score matching

After propensity score matchinga

High medical expense occurrence household

High medical expense non-occurrence household

P-value

High medical expense non-occurrence household

P-value

Total

275

100.0

6,020

100.0

825

100.0

Householder level

 

Sex

    

0.8032

  

0.4369

  Man

205

74.5

4,447

73.9

 

634

76.8

 

  Woman

70

25.5

1,573

26.1

 

191

23.2

 

Age (unit: years)

    

<.0001

  

0.1537

  Under 39

29

10.5

1,146

19.0

 

60

7.3

 

  40 ~ 64

76

27.6

2,524

41.9

 

276

33.5

 

  Over 65

170

61.8

2,350

39.0

 

480

58.2

 

Education level

    

0.0372

  

0.3835

  Below elementary school

115

41.8

2,103

34.9

 

297

36

 

  Middle school

35

12.7

767

12.7

 

114

13.8

 

  High school

72

26.2

1,757

29.2

 

244

29.6

 

  Above university

53

19.3

1,393

23.1

 

170

20.6

 

Marriage status

    

0.0162

  

0.572

  Married

196

71.3

3,895

64.7

 

574

69.6

 

  Unmarried

11

4

375

6.2

 

27

3.3

 

  Divorce, Separated

66

24

1,725

28.7

 

223

27

 

Household level

 

Employment of household

    

<.0001

  

0.9714

  None

104

37.8

1,577

26.2

 

313

37.9

 

  >1 person

171

62.2

4,443

73.8

 

512

62.1

 

Senior of household

    

<.0001

  

0.1054

  None

82

29.8

3,284

54.6

 

290

35.2

 

  >1 person

193

70.2

2,736

45.4

 

535

64.8

 

Member with chronic disease

    

<.0001

  

0.7451

  None

38

13.8

2,260

37.5

 

110

13.3

 

  1 person

141

51.3

2,229

37.0

 

424

51.4

 

  ≥2 people

96

34.9

1,531

25.4

 

291

35.3

 
  1. aThe results after matching propensity scores for age ∙ sex ∙ education level ∙ marriage status (individual level), employment ∙ senior ∙ member with chronic disease (household level)