Ontology highlight
ABSTRACT: Background
Frontline providers frequently make time-sensitive antibiotic choices, but many feel poorly equipped to handle antibiotic allergies.Objective
We hypothesized that a digital decision support tool could improve antibiotic selection and confidence when managing β-lactam allergies.Methods
A digital decision support tool was designed to guide non-allergist providers in managing patients with β-lactam allergy labels. Non-allergists were asked to make decisions in clinical test cases without the tool, and then with it. These decisions were compared using paired t tests. Users also completed surveys assessing their confidence in managing antibiotic allergies.Results
The tool's algorithm was validated by confirming its recommendations aligned with that of
SUBMITTER: Dunham TB
PROVIDER: S-EPMC10085826 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature