Implementation of a proposed algorithm to assess and de-label false penicillin allergy labels in the community

The proposed algorithm was able to support the de-labelleling of false penicillin allergies. Future research could implement the use of the algorithm in other primary care settings and ascertain the long-term retention of the initiation of de-labelleling in the community.

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Publication Details

Journal
Infection Disease & Health
Published
2025-05-07
DOI
https://doi.org/10.1016/j.idh.2025.04.002
Citations
1
Primary Topic
Drug-Induced Adverse Reactions
Type
article
Field-Weighted Citation Impact
1.39
Controls
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article

Implementation of a proposed algorithm to assess and de-label false penicillin allergy labels in the community

J. Qian, Elise Mitri, Angelina S Lim, Sharmila Khumra et al.
1 citations
Infection Disease & Health
Drug-Induced Adverse Reactions
1.39
article

Implementation of a proposed algorithm to assess and de-label false penicillin allergy labels in the community

J. Qian, Elise Mitri, Angelina S Lim, Sharmila Khumra, Lydia Liu, Simon James, Katija Juric, Limhour Kruoch
article en
1 citations

Abstract

The proposed algorithm was able to support the de-labelleling of false penicillin allergies. Future research could implement the use of the algorithm in other primary care settings and ascertain the long-term retention of the initiation of de-labelleling in the community.

Infection Disease & HealthVol. 30(4)
Royal Children's Hospital (AU), Deakin University (AU), Austin Health (AU), Monash University (AU)
Openalex Percentile: Top 21%
Drug-Induced Adverse Reactions
1.39
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