Unknown

Dataset Information

0

Appropriate empirical antibiotic use in the emergency department: full compliance matters!


ABSTRACT:

Background

Little is known about determinants of appropriate antibiotic use in the emergency department (ED). We measured appropriateness of antibiotic use for seven quality indicators (QIs) and studied patient-related factors that determine their variation.

Patients and methods

A retrospective analysis of 948 patients presumptively diagnosed as having an infection needing empirical antibiotic treatment in the ED was performed. Outcomes of seven previously validated QIs were calculated using computerized algorithms. We used logistic regression analysis to identify patient-related factors of QI performance and evaluated whether more appropriate antibiotic use in the ED results in better patient outcomes (length-of-stay, in-hospital mortality, 30 day readmission).

Results

QI performance ranged from 57.3% for guideline-adherent empirical therapy to 97.3% for appropriate route of administration in patients with sepsis. QI performance was positively associated with patients' disease severity on admission (presence of fever, tachycardia and hypotension). Overall, the clinical diagnosis and thus the guidelines followed influenced QI performance. The difference in complexity between the guidelines was a possible explanation for the variation in QI performance. A QI performance sum score of 100% was associated with reduced in-hospital mortality. QI performance was not associated with readmission rates.

Conclusions

We gained insights into factors that determine quality of antibiotic prescription in the ED. Adherence to the full bundle of QIs was associated with reduced in-hospital mortality. These findings suggest that future stewardship interventions in the ED should focus on the entire process of antibiotic prescribing in the ED and not on a single metric only.

SUBMITTER: Berrevoets MAH 

PROVIDER: S-EPMC8210121 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC6186802 | biostudies-literature
| S-EPMC10011931 | biostudies-literature
| S-EPMC7787133 | biostudies-literature
| S-EPMC3356933 | biostudies-literature
| S-EPMC6863559 | biostudies-literature
| S-EPMC9115663 | biostudies-literature
| S-EPMC6337898 | biostudies-literature
| S-EPMC3750281 | biostudies-literature
| S-EPMC6943909 | biostudies-literature