静脉用药调配中心混合调配差错的影响因素分析及干预策略

doi:10.5246/jcps.2025.12.081

中国药学(英文版) ›› 2025, Vol. 34 ›› Issue (12): 1081-1091.DOI: 10.5246/jcps.2025.12.081

• 【研究论文】 • 上一篇

静脉用药调配中心混合调配差错的影响因素分析及干预策略

王干城¹^,², 母立峰³, 杜雅薇¹, 徐晓涵¹, 程吟楚¹, 赵荣生¹^,²^,^*()

^1. 北京大学第三医院药学部, 北京 100191
^2. 北京大学药学院药事管理与临床药学系, 北京 100191
^3. 川北医学院附属医院药剂科, 四川南充 637000

收稿日期:2025-09-24 修回日期:2025-10-23 接受日期:2025-11-04 出版日期:2025-12-31 发布日期:2025-12-31
通讯作者: 赵荣生

Influencing factors and intervention strategies for intravenous admixture preparation errors in PIVAS: a comprehensive analysis

Gancheng Wang¹^,², Lifeng Mu³, Yawei Du¹, Xiaohan Xu¹, Yinchu Cheng¹, Rongsheng Zhao¹^,²^,^*()

¹ Department of Pharmacy, Peking University Third Hospital, Beijing 100191, China
² Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
³ Department of Pharmacy, the Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan, China

Received:2025-09-24 Revised:2025-10-23 Accepted:2025-11-04 Online:2025-12-31 Published:2025-12-31
Contact: Rongsheng Zhao
Supported by:
The National Natural Science Foundation of China (Grant No. 72474013) and the Beijing Health Technology Promotion Project (Grant No. BHTPP2024007).

摘要/Abstract

摘要：

本研究旨在探究静脉用药调配中心混合调配差错发生的影响因素。本文回顾性分析了2015年1月1日–2022年12月31日中国一家大型综合性医院静脉用药调配中心的药物混合调配差错发生情况, 以药物调配数据为研究对象, 应用广义线性混合模型进行单因素和多因素分析, 确定混合调配差错发生的影响因素。研究共纳入混合调配差错数量824例, 总差错率为0.018%。单因素结果显示, 调配药物分类(普通药物、抗感染药物和抗肿瘤药物)、调配时间(工作日)和调配人员工作年限是调配差错发生的影响因素(P < 0.05)。多因素分析结果显示, 调配药物分类(普通药物和抗肿瘤药物)、调配时间(工作日)和调配人员工作年限是混合调配差错发生的影响因素(P < 0.05)。研究表明, 静脉用药调配中心混合调配差错发生的影响因素较多, 主要为人为因素和药物因素。应结合多因素分析的结果, 制定相关干预措施以降低混合调配差错的发生率。

关键词: 静脉药物, 静脉用药调配中心, 影响因素, 混合调配差错, 广义线性混合模型, 回顾性研究

Abstract:

This study investigated the factors contributing to intravenous admixture preparation errors (IAPEs) within Pharmacy Intravenous Admixture Services (PIVAS). A retrospective analysis was conducted on IAPEs documented in the PIVAS unit of a large multi-specialty hospital in China, which houses over 2000 beds, covering the period from January 1, 2015 to December 31, 2022. Drug preparation records were examined using a generalized linear mixed model (GLMM) to identify both univariate and multivariate factors associated with IAPE occurrences. A total of 824 IAPE cases were recorded during the study period, yielding an overall error rate of 0.018%. Univariate analysis identified drug categories (general drugs, anti-infective drugs, and antineoplastic drugs), preparation time (workdays), and years of work experience as significant determinants (P < 0.05). Multivariate analysis further confirmed that drug categories (general and antineoplastic drugs), preparation time (workdays), and work experience remained statistically significant predictors of IAPE incidence (P < 0.05). IAPEs in PIVAS were influenced by multiple factors, predominantly those related to personnel and drug characteristics. Targeted interventions, informed by multivariate analysis, are essential to mitigating these errors and enhancing medication safety.

Key words: Intravenous medication, Pharmacy Intravenous Admixture Service, Influence factors, Intravenous admixture preparation errors, Generalized linear mixed model, Retrospective study

Supporting:

王干城, 母立峰, 杜雅薇, 徐晓涵, 程吟楚, 赵荣生. 静脉用药调配中心混合调配差错的影响因素分析及干预策略[J]. 中国药学(英文版), 2025, 34(12): 1081-1091.

Gancheng Wang, Lifeng Mu, Yawei Du, Xiaohan Xu, Yinchu Cheng, Rongsheng Zhao. Influencing factors and intervention strategies for intravenous admixture preparation errors in PIVAS: a comprehensive analysis[J]. Journal of Chinese Pharmaceutical Sciences, 2025, 34(12): 1081-1091.

图/表 6

Table 1. Drug classification criteria and handling requirements.

Table 2. Information of included preparation personnel, prepared drugs, and preparation time.

Table 3. The incidence and types of IAPEs of different drug categories.

Figure 1. Comparison of the number of IAPEs of different drug categories.

Table 4. Univariate analysis of the influencing factors of IAPEs.

Table 5. Multivariate analysis of the influencing factors of IAPEs.

参考文献 21

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静脉用药调配中心混合调配差错的影响因素分析及干预策略

Influencing factors and intervention strategies for intravenous admixture preparation errors in PIVAS: a comprehensive analysis

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