Table 4.
logistic regressions.
| regression coefficient | standard error | 95% Confidence interval |
|||
|---|---|---|---|---|---|
| lower limit | upper limit | Sig. p | |||
| intercept | 117.171 | 8.018 | 101.399 | 132.944 | 0.000 |
| recommended dose AC_ (g_kg) | −31.093 | 7.428 | −45.703 | −16.482 | 0.000 |
| AC_formula_tablet/powderpowder = 0. tablet = 1 | −28.422 | 5.627 | −39.491 | −17.352 | 0.000 |
| layperson/professional professional = 0; lay = 1 |
−10.915 | 5.805 | −22.334 | 0.505 | 0.061 |
| age (patient) | −0.003 | 0.111 | −0.222 | 0.216 | 0.980 |
| time needed for AC application | |||||
| regression coefficient | standard error | 95% Confidence interval | |||
| lower limit | upper limit | Sig. p | |||
| intercept | 16.200 | 5.793 | 4.804 | 27.596 | 0.005 |
| recommended dose AC_ (g_kg) | 4.296 | 5.353 | −6.234 | 14.827 | 0.423 |
| AC_formula_tablet/powderpowder = 0. tablets = 1 | 1.180 | 4.117 | −6.918 | 9.278 | 0.775 |
| layperson/professional professional = 0; lay = 1 |
1.828 | 4.252 | −6.536 | 10.192 | 0.668 |
| Patient age | −0.116 | 0.081 | −0.275 | 0.042 | 0.150 |
AC- dose applied as% of recommended dose.