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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