Table 4.
Logistic regression analysis for being prescribed antibiotics
| Prescribed antibiotics (yes or no) | |||
| OR | 95% CI for OR | P value | |
| Age | 1.011 | 0.998 to 1.024 | 0.096 |
| Gender | 0.898 | 0.639 to 1.262 | 0.535 |
| Diabetes | 1.718 | 1.209 to 2.441 | 0.003 |
| Healing time | 1.004 | 1.002 to 1.006 | <0.001 |
| Using the DDSS | 0.283 | 0.106 to 0.757 | 0.012 |
| Venous ulcer | 0.835 | 0.544 to 1.282 | 0.409 |
| Arterial ulcer | 3.005 | 1.538 to 5.870 | 0.001 |
| Pressure ulcer | 0.542 | 0.311 to 0.944 | 0.031 |
| Neuropathic ulcer | 3.855 | 1.643 to 9.045 | 0.002 |
| Malignant ulcer | 4.016 | 1.268 to 12.722 | 0.018 |
| Other unspecified ulcer | 1.529 | 0.915 to 2.555 | 0.105 |
Outcome: Being prescribed antibiotics (yes). Younger age, male, not having diabetes, shorter healing time, not using the DDSS and not having the specific ulcer aetiology were chosen as references. Hosmer and Lemeshow’s goodness of fit p value was 0.320. Nagelkerke R2 was 0.155. Significant p values are presented in bold.
DDSS, digital decision support system.