Skip to main content

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