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Table 5 Determinants of incidence of household catastrophic medical expenses

From: Household catastrophic medical expenses in eastern China: determinants and policy implications

Variables

OR (95%CI)

P-Value

Income level

  

 2nd quintile vs top quintile

0.89(0.71–1.10)

0.281

 3nd quintile vs top quintile

1.17(0.94–1.44)

0.152

 4th quintile vs top quintile

3.25(2.68–3.94)

0.000

 Poorest quintile vs top quintile

2.34(1.91–2.85)

0.000

Household size

  

 2 vs 1

0.77(0.55–1.07)

0.117

 3 vs 1

0.50(0.35–0.69)

0.000

 4 vs 1

0.45(0.32–0.63)

0.000

Household head’s registration status (rural vs urban)

1.47(1.17–1.83)

0.001

Family member with chronic disease

  

 1 vs 0

2.07(1.80–2.38)

0.000

 2 vs 0

2.59(2.09–3.21)

0.000

 3 vs 0

2.60(1.39–4.86)

0.003

Hospitalization in the previous year

  

 1 vs 0

4.38(3.65–5.24)

0.000

 2 vs 0

4.54(2.59–7.96)

0.000

 3 vs 0

25.71(8.11–81.53)

0.000

Family member less than 5y

  

 1 vs 0

1.47(1.23–1.76)

0.000

 2 vs 0

9.92(4.14–23.76)

0.000

Family member older than 65y

  

 1 vs 0

1.37(1.15–1.62)

0.000

 2 vs 0

1.82(1.53–2.16)

0.000

Household head’s marriage status

  

 Married vs not married

1.68(1.10–2.55)

0.016

 Divorced vs not married

2.67(1.23–5.78)

0.013

 Other vs not married

1.39(0.86–2.27)

0.182

Household head’s education level

  

 Middle school vs primary school or lower

0.80(0.70–0.92)

0.002

 High school vs primary school or lower

0.75(0.61–0.92)

0.006

 College or higher vs primary school or lower

0.64(0.42–0.98)

0.038

Household head’s social insurance

  

 Labor insurance vs none

0.65(0.46–0.90)

0.011

 Urban residential insurance vs none

0.89(0.63–1.26)

0.525

NCMS vs none

0.99(0.75–1.32)

0.965

 Other social insurance vs none

0.46(0.32–0.67)

0.000

  1. Insig2u 1.469.
  2. Sigma_u 0.480.
  3. rho = 0.065, likelihood-ratio test of rho = 0, P < 0.001.
  4. Random-effects logistic regression, Wald chi2 = 982.64, p < 0.001.