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Table 4 Coefficients for logistic regression models predicting likelihood of dissaving of any amount

From: What can dissaving tell us about catastrophic costs? Linear and logistic regression analysis of the relationship between patient costs and financial coping strategies adopted by tuberculosis patients in Bangladesh, Tanzania and Bangalore, India

  Mean (se) coefficient values
Predictors Tanzania (N = 96) Bangladesh (N = 94) Bangalore (N = 891)
Intercept 2.370e + 00 (1.268e + 00) 1.793e + 00 (1.473e + 00) −1.220e + 00 (4.378e-01)**
Total cost 2.929e-06 (1.347e-06)* 4.001e-05 (3.687e-05) 7.844e-05 (1.192e-05)***
Age −2.922e-02 (1.956e-02) −2.239e-02 (1.393e-02) −1.192e-04 (2.895e-05)
Female gender −1.552e + 00 (5.479e-01)** −6.049e-01 (4.677e-01) −7.655e-03 (5.494e-03)
Hospitalisation −6.382e-01 (7.796e-01) −1.095e + 00 (1.175e + 00) 7.995e-01 (1.684e-01)***
Rural location −3.299e-01 (5.091e-01) 6.742e-01 (8.317e-01) NA
SES −1.068e + 00 (6.869e-01) −7.520e-01 (6.295e-01) NA
Low SES NA NA 8.800e-01 (3.488e-01)*
Medium SES NA NA 4.240e-01 (3.371e-01)
Income NA NA −1.192e-04 (2.895e-05)***
  1. ‘***’p = 0.001 ‘**’p = 0.01 ‘*’p = 0.05