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Table 3 Predictors of out-of-pocket costs

From: The patient-level effect of the cost of Cancer care – financial burden in German Cancer patients

 

Binary logistic regression

Out-of-pocket costs yes/no (n = 238)

regression coefficient B (standard error)

Income loss yes/no

(n = 235)

regression coefficient B (standard error)

Age (years)

−0.04 (0.02)*

−0.06 (0.01)*

Duration of illness (months)

−0.01 (0.00)

0.01 (0.00)

Primary tumor (CRC = 0, NET = 1)

− 0.64 (0.38)

−0.79 (0.30)*

Sex (m = 0, f = 1)

0.97 (0.46)*

0.02 (0.31)

(Intercept)

5.28 (1.24)*

3.26 (0.80)*

  1. *p < .05