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静脉用药调配中心药品损耗原因分析与改进措施
丁亦凡,金岚,陆晓彤,李芳,徐阿晶
0
(上海交通大学医学院附属新华医院,上海 200093)
摘要:
目的:分析静脉用药调配中心的药品损耗原因,优化管理措施,减少药品损耗的发生。方法:对调配中心发生药品损耗的原因进行分析总结,然后采取相应的整改措施,比较2014年7-12月和采取改进措施后2015年1-6月差错事件发生情况。结果:未实施改进前2014年7-12月总调配输液数为281 381袋,其中发生失误425次,占0.15%,平均每月失误70.8次;改进后的2015年1-6 总调配数为301 095袋,发生失误157次,占0.05%,平均每月失误26.2次。导致药品损耗的内部因素(排药、核对)中破损的失误率下降了63.1%,成品冲错的失误率下降了61.5%,漏液失误率下降了76.5%。结论:多环节的干预和优化措施有效的减少了药品的损耗,提升了药学服务的质量。
关键词:  静脉用药调配中心  药品损耗  改进措施  优化管理
DOI:doi: 10.13407/j.cnki.jpp.1672-108X.2017.11.013
基金项目:
Causes and Improvement Measures of Drug Consumption of Pharmacy Intravenous Admixture Service
Ding Yifan, Jin Lan, Lu Xiaotong, Li Fang, Xu Ajin
(Xin Hua Hospital Affiated to Shanghai Jiao Tong University School of Medicine, Shanghai 200093, China)
Abstract:
Objective: To investigate the causes of drug consumption in pharmacy intravenous admixture services (PIVAS), optimize management and reduce the occurrence of drug consumption. Methods: The causes of drug consumption were summarized, and optimized measures were implemented. The incidences of errors were compared between the data sets generated during July to December in 2014 and January to June in 2015. Results: Before the implementation of the improvement measures, the total transfusion volume were 281,381 bags, of which the number of failures were 425 times, accounting for 0.15%, and the average monthly errors were 70.8 times. After improvement in 2015, the total transfusion volume were 301,095 bags, the number of failures were 157 times, accounting for 0.05%, and the average monthly errors were 26.2 times. The failure rate of the internal factors causing the loss of drugs (drug delivery and checking) decreased by 63.1%, the error rate of finished products dropped by 61.5%, and the error rate of liquid leakage decreased by 76.5%. Conclusion: Multiple steps intervention and optimization can effectively reduce the drug consumption and improve the quality of pharmaceutical service.
Key words:  pharmacy intravenous admixture services  drug consumption  improved measures  optimized management

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