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Table 3 Logistic regression for CHE40 on COVID-19 hospitalisation

From: Catastrophic health expenditure due to hospitalisation for COVID-19 treatment in India: findings from a primary survey

 

Odds ratio

SE

p value

95% CI

Residence

 Rural

1

 

 Urban

1.48

0.76

0.44

0.54

4.07

Age (years)

 0–14

1

 

 15–39

1.13

2.01

0.95

0.03

37.20

 40–59

0.90

1.58

0.95

0.03

28.36

 Above 60

1.30

2.31

0.88

0.04

42.06

Sex

 Male

1

 

 Female

3.09

1.36

0.01

1.31

7.30

Education

 Not literate

1

 

 Primary

0.79

0.53

0.72

0.21

2.93

 High school

0.65

0.47

0.55

0.16

2.70

 12th standard

0.83

0.62

0.81

0.19

3.58

 Graduation and above

0.21

0.34

0.33

0.01

4.96

Household size

 Up to 5 members

1

 

 Above 5 members

0.44

0.18

0.05

0.19

1.00

Per capita household expenditure quintile

 Poorest

1

 

 Poor

0.54

0.39

0.39

0.13

2.20

 Middle

0.60

0.40

0.45

0.16

2.22

 Rich

0.95

0.61

0.93

0.27

3.36

 Richest

0.36

0.25

0.14

0.10

1.38

Type of hospital

 Public

1

 

 Private

59.77

30.47

0.01

22.00

162.34

 Duration of hospitalisation

1.06

0.04

0.14

0.98

1.15

Ventilator

 Used

3.74

2.52

0.04

1.00

14.01

Anti-viral injection

 Used

2.34

1.05

0.06

0.97

5.64

Oxygen (without ventilator)

 Used

2.26

1.09

0.09

0.88

5.82

Private insurance

 Insured

0.67

0.31

0.39

0.27

1.68

  1. No. of observations: 413; pseudo R2: 0.5