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May 2, 20261 citations

Development and Pilot Testing of a Pharmacist-Led β-Lactam Allergy Risk Assessment Tool for Chinese Patients.

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XYXiunan YueNSNan ShangWCWanying Chen

Key Points

  • The study aims to develop and assess a pharmacist-led tool for evaluating β-lactam allergy risks among Chinese patients.
  • Conducted a systematic review of 90 studies to identify β-lactam allergy risk factors.
  • Utilized grounded theory and co-occurrence analysis for tool construction.
  • Implemented a pilot study in a tertiary hospital to assess feasibility and clinical impact.
  • Achieved a 100% completion rate for the tool among pharmacists.
  • Demonstrated strong adherence to the assessment process.
  • Showed significant potential for improving the identification of high-risk β-lactam allergy patients.

Abstract

BACKGROUND: β-lactam allergy labels (BALs) are commonly found in patient records but are often inaccurate. This can lead to suboptimal antibiotic selection, increased healthcare costs, and antimicrobial resistance. Most existing risk assessment tools were developed in Western settings and are not applicable in Chinese clinical contexts. This study developed and pilot-tested a pharmacist-led BAL risk assessment tool tailored to the Chinese healthcare environment. METHODS: The study was conducted in three phases: (1) A systematic review of 90 studies to identify key β-lactam allergy risk factors; (2) Grounded theory and text co-occurrence analysis to extract high-risk features and construct the assessment framework; and (3) A pilot implementation in a tertiary hospital to evaluate the tool's feasibility, clinical impact, and patient outcomes using a quasi-experimental design. RESULTS: < 0.001). The tool also demonstrated high feasibility, achieving a 100% completion rate and strong adherence among pharmacists. CONCLUSION: This pharmacist-led risk assessment tool has strong potential for accurately identifying high-risk β-lactam allergy patients and optimising antimicrobial stewardship in Chinese hospitals. Further large-scale validation is warranted.

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Cite This Study

Yue et al. (2026) studied this question.

synapsesocial.com/papers/69f5947e71405d493afff520https://doi.org/10.31083/pharmazie51744
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