Table 4 Results of linear regression estimation of factors affecting patients’ willingness to pay for a kidney transplant
Variable | Coefficient (CI 95%) | p-value |
|---|---|---|
Sex | ||
Male | Ref. | |
Female | 0.026 (− 0.023, 0.0758) | 0.296 |
Age group | ||
0–19 | Ref. | |
20–44 | 0.188 (0.72, 0.30) | 0.002 |
45–64 | 0.1405 | 0.015 |
65–75 | 0.215 | 0.281 |
Years with kidney failure | ||
Two years or less | Ref. | |
Five years or less | 0.175 (0.10, 0.25) | 0.000 |
Over 5 years | 0.2635 | 0.000 |
Education level | ||
Elementary and secondary education | Ref. | |
High school diploma | − 0.055 (− 0.12, 0.11) | 0.102 |
Academic degree | − 0.0165 | 0.586 |
Awareness of kidney function | ||
Don’t know | Ref. | |
Less than 60% | − 0.12 (− 0.34, 0.089) | 0.249 |
Between 30 and 50% | 0.892 | 0.412 |
Between 15 and 30% | 0.3126 | 0.005 |
Less than 15% | 0.4041 | 0.000 |
Supplementary insurance status | ||
No | Ref. | |
Yes | − 0.062 (− 0.138, 0.013) | 0.109 |
Doctor’s influence on kidney transplant | ||
Don’t know | Ref. | |
Mostly yes | − 0.27 (− 0.61, 0.65) | 0.412 |
Definitely yes | 0.1348 | 0.239 |
Basic health status | ||
No insurance coverage | Ref. | |
Health insurance (rural insurance) | 0.426 (0.19, 0.65) | 0.000 |
Health insurance (other than rural insurance) | 0.3944 | 0.001 |
Social security | 0.405 | 0.001 |
Armed forces | 0.3034 | 0.04 |
Other | 0.3384 | 0.064 |
Monthly income (log) | 0.2727 (0.2158, 0.3297) | 0.000 |
Preference for a kidney preparation | ||
Buy from a healthy person | Ref. | |
Gifts from the deceased | 0.060 (− 0.20, 0.08) | 0.412 |
Gifts from family and friends | 0.1402 | 0.239 |
Employment status | ||
Unemployed | Ref. | |
Employed | 0.101 (0.04, 0.15) | 0.000 |
Constant | 14.37791 (13.43, 15.33) | 0.000 |
Number of observations | 266 | |
R2 | 0.8635 | |
Adjusted R2 | 0.8499 | |
F | 63.51 | |
Prob | 0.000 | |