Table 5.
Association between potential factors and receiving OAT from binary logistic regression after imputation.
| Coefficient | Standard error | p value | Adjusted odds ratio | BCa 95% Confidence Interval | |||
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Age | .009 | .015 | .555 | 1.009 | .980 | 1.038 | |
| Sex (female) | 3.353 | .586 | .000 | 28.575 | 9.057 | 90.156 | |
| German nationality | .775 | .250 | .002 | 2.170 | 1.330 | 3.539 | |
| No language-related communication barriers | .659 | .351 | .060 | 1.933 | .971 | 3.847 | |
| Schizophrenia | .409 | .495 | .409 | 1.505 | .570 | 3.971 | |
| HCV infection | .288 | .263 | .275 | 1.333 | .795 | 2.236 | |
| HIV infection | .029 | .461 | .950 | 1.029 | .415 | 2.550 | |
| Receipt of OAT at the time of imprisonment | 2.491 | .265 | .000 | 12.071 | 7.175 | 20.308 | |
| Estimated detention duration [months] | .012 | .003 | .001 | 1.012 | 1.005 | 1.018 | |
| Sentence type | Penal incarceration | 1 (reference) | |||||
| Pretrial detention | .488 | .617 | .429 | 1.629 | .486 | 5.459 | |
| Compensation imprisonment | 1.219 | .359 | .001 | 3.383 | 1.675 | 6.833 | |
| Prison | Prison D | 1 (reference) | |||||
| Prison for day-release | .310 | .681 | .649 | 1.363 | .359 | 5.182 | |
| Prison A | 1.838 | .426 | .000 | 6.285 | 2.728 | 14.478 | |
| Prison C | 1.345 | .443 | .002 | 3.840 | 1.611 | 9.153 | |
| Prison B | .396 | .561 | .479 | 1.487 | .495 | 4.461 | |
| Constant | -4.369 | .738 | .000 | .013 | .003 | .054 | |
R² = [.485–.490] (Nagelkerke) [.067–.745] (Hosmer & Lemeshow). Model χ²(15) = [258.443–262.042], p < .000.