Skip to main content

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)