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Table 5 Coefficients for linear regression models predicting total costs for patients who dissave

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 = 57 Bangladesh N = 53 Bangalore N = 332
Intercept 3.043e + 05 (1.630e + 05) 1.889e + 04 (8.133e + 03)* 1.036e + 04 (2.977e + 03)***
Dissaving amount 2.181e-01 (1.684e-01) 6.779e-01 (6.212e-02)*** 7.648e-01 (6.057e-02)***
Age −7.726e + 01 (1.313e + 02) −7.726e + 01 (1.313e + 02) −7.041e + 01 (4.033e + 01)
Female gender 8.589e + 03 (4.410e + 03) 8.589e + 03 (4.410e + 03) 2.815e + 03 (1.126e + 03)*
Hospitalisation −3.896e + 05 (8.473e + 04)*** −1.431e + 04 (6.368e + 03)* 3.201e + 03 (1.140e + 03)**
Rural location 1.609e + 05 (7.900e + 04)* −7.219e + 03 (7.410e + 03) NA
SES −2.195e + 05 (1.251e + 05) 1.056e + 04 (5.116e + 03)* NA
Low SES NA NA −8.996e + 03 (2.431e + 03)***
Medium SES NA NA −8.679e + 03 (2.382e + 03)***
Income NA NA 5.759e-01 (2.089e-01)**
  1. ‘***’p = 0.001 ‘**’p = 0.01 ‘*’p = 0.05