Derivation and Validation of an Electronic Health Record Penicillin Allergy De-Labeling Prevalence Measure
With no standard method to capture penicillin allergy de-labeling prevalence across populations, we developed and validated a simple penicillin allergy de-labeling prevalence measure from electronic health records that achieved perfect sensitivity (100.0%), high specificity (99.4%), and strong agreement with a comprehensive algorithm that included free-text manual review (kappa = .997).
Authors
- J Mann
- Kimberly G. Blumenthal (ORCID: https://orcid.org/0000-0003-4773-9817)
- Alysse G. Wurcel (ORCID: https://orcid.org/0000-0002-8255-8387)
- Yuqing Zhang (ORCID: https://orcid.org/0000-0001-8142-8305)
- Andrew J. King (ORCID: https://orcid.org/0000-0002-5282-3186)
- Bohang Jiang
Institutions
- Tufts University (US)
- Tufts Medical Center (US)
- Harvard University (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Clinical Infectious Diseases
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1093/cid/ciae641
- Citations
- 4
- Primary Topic
- Drug-Induced Adverse Reactions
- Type
- article
- Field-Weighted Citation Impact
- 1.79