Reliability and validation of an electronic penicillin allergy risk-assessment tool in a pregnant population
We demonstrate that our point-of-care electronic algorithm is reliable in identifying low risk pregnant patients, as compared to an allergist assessment. To our knowledge, this is the first study to provide direct comparison between multiple decision support tools using the same population, minimizing participant bias. Providing clinical algorithms to risk stratify patients, can enable healthcare professionals to safely identify individuals who may be candidates for direct penicillin oral challenges versus needing referral to specialists. This increases the generalizability and efficiency of penicillin allergy de-labeling.
Authors
- Julie van Schalkwyk
- Ashley Roberts (ORCID: https://orcid.org/0000-0002-6273-542X)
- Raymond Mak (ORCID: https://orcid.org/0009-0000-9420-2065)
- Chelsea Elwood (ORCID: https://orcid.org/0000-0003-2196-1348)
- Stephanie C. Erdle
- Tiffany Wong (ORCID: https://orcid.org/0000-0003-3870-9114)
- Joanne Wang (ORCID: https://orcid.org/0000-0003-4326-1836)
- Natasha Kwan
- Melissa H. Watt (ORCID: https://orcid.org/0000-0003-1317-3536)
- Jeffrey N. Bone (ORCID: https://orcid.org/0000-0001-7704-1677)
- Vanessa Paquette (ORCID: https://orcid.org/0000-0002-2541-9284)
Institutions
- University of British Columbia (CA)
- Children's & Women's Health Centre of British Columbia (CA)
- Women's Health Research Institute (CA)
- BC Children's Hospital (CA)
Publication Details
- Journal
- Allergy Asthma and Clinical Immunology
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1186/s13223-024-00918-3
- Citations
- 2
- Primary Topic
- Drug-Induced Adverse Reactions
- Type
- article
- Field-Weighted Citation Impact
- 0.90
Funders
- Doctors of BC
- BC Children's Hospital