Table 4.
Multivariate logistic regression model for polypharmacy prescribed.
| Variables | Coefficient B | Standard error | p-value | Odds ratio | 95% CI for odds ratio |
|
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Constant | –0.87 | 0.33 | 0.008 | 0.42 | N/A | N/A |
| Centre | 0.80 | 0.17 | 0.001 | 2.23 | 1.60 | 3.11 |
| Age | –0.02 | 0.01 | 0.001 | 0.98 | 0.97 | 0.99 |
| Forensic history | 0.34 | 0.14 | 0.015 | 1.40 | 1.07 | 1.84 |
| Section status | –0.42 | 0.15 | 0.005 | 0.66 | 0.49 | 0.88 |
| Route of administration | –0.40 | 0.16 | 0.012 | 0.67 | 0.49 | 0.92 |
| Total dose | 0.02 | 0.002 | 0.001 | 1.02 | 1.01 | 1.02 |
n = 1071.
-2 Log likelihood = 1306.144.
Reference categories for predictors; centre = SLaM; forensic history = no; section status = sectioned; route of administration = intramuscular.
CI, confidence interval; N/A, not applicable.