ArticleRisk management and healthcare policy2025
Analysis of Drug Product Dispensing Error Characteristics, Construction and Evaluation of a Risk Warning Model in Outpatient Pharmacy: A Retrospective Study in China.
Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background/Objectives: Dispensing errors have the potential to cause significant and preventable patient harm, including adverse drug events, hospitalization, or even death. This study aims to analyze the characteristics of drug product dispensing errors in the outpatient pharmacy, identify risk factors, and develop a risk warning model for error prediction. Methods: A retrospective study analyzed 930 prescriptions with product dispensing errors and 1860 control prescriptions without errors in an outpatient pharmacy of a tertiary hospital from April 2021 to March 2023. Univariate and multivariable logistic regression were used to identify risk factors. A risk warning model with a cutoff value was constructed and its reliability evaluated using Receiver Operating Characteristics(ROC) curve analysis. The cutoff value was then used to assess the model's test effectiveness with validation dataset. Results: Logistic regression analysis identified six independent risk factors for product dispensing errors in outpatient pharmacies: work experience, professional title, education level, similar drug names, similar drug appearances, and multiple specifications. A risk warning model (p=e Conclusion: The risk warning model demonstrated high accuracy in predicting product dispensing errors in outpatient pharmacies. Validated externally, it provides a practical reference for preventing such errors.
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