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1. 首都医科大学药学院
2. 首都医科大学附属北京儿童医院药学部
纸质出版日期:2021,
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张晓昊, 张晶晶, 崔峥, 等. ABC-VEN矩阵分析法在儿童医院药品管理中的应用[J]. 中国医院用药评价与分析, 2021,21(6):748-751.
ZHANG Xiaohao, ZHANG Jingjing, CUI Zheng, et al. Application of ABC-VEN Matrix Analysis in Drug Management in Children’s Hospital[J]. 2021,21(6):748-751.
张晓昊, 张晶晶, 崔峥, 等. ABC-VEN矩阵分析法在儿童医院药品管理中的应用[J]. 中国医院用药评价与分析, 2021,21(6):748-751. DOI: 10.14009/j.issn.1672-2124.2021.06.025.
ZHANG Xiaohao, ZHANG Jingjing, CUI Zheng, et al. Application of ABC-VEN Matrix Analysis in Drug Management in Children’s Hospital[J]. 2021,21(6):748-751. DOI: 10.14009/j.issn.1672-2124.2021.06.025.
目的:了解首都医科大学附属北京儿童医院(以下简称"我院")药品使用情况
为药品精细化管理提供依据。方法:采用ABC分析法(activity based classification
简称ABC分析法)、关键-基本-非基本药物(vital essential nonessential
VEN)分析法和ABC-VEN矩阵分析法
对2018年9月至2019年8月我院门诊及住院患儿使用药品的品种、金额进行统计分析
同时进行库存周转分析、用量分析。结果:2018年9月至2019年8月我院门诊及住院患儿共使用药品698种
销售金额66 932.21万元。基于ABC分析法
A、B和C类药品的品种数构成比依次为15.90%(111种)、20.20%(141种)和63.90%(446种)
金额构成比依次为79.85%(53 444.13万元)、15.10%(10 108.14万元)和5.05%(3 379.94万元)。基于VEN分析法
V、E和N类药品的品种数构成比依次为35.10%(245种)、54.44%(380种)和10.46%(73种)
金额构成比依次为29.30%(19 611.22万元)、63.82%(42 718.59万元)和6.88%(4 602.40万元)。结合ABC-VEN矩阵分析
品种数构成比最高的为CE类药品(31.52%
220种)
金额构成比最高的为AE类药品(51.76%
34 647.20万元)
品种数构成比最低的为AN类药品(0.86%
6种)
金额构成比最低的为CN类药品(0.66%
441.18万元)。结论:应适当调整我院CV、CE类中部分药品的库存上下限
以保证临床必需用药的供应
减少药品短缺的发生; AE、AN类药品中存在一些国家重点监控药品
减少其使用不仅可降低药品费用
而且有助于促进临床合理用药。将ABC分析法与VEN分析法相结合分析一段时间内医院药品使用情况
是将科学方法运用到实际工作中
可为药品库存的细化管理以及临床合理用药提供数据支持。
OBJECTIVE: To investigate drug application in Beijing Children ’s Hospital Affiliated to Capital Medical University( hereinafter referred to as "our hospital ")
so as to provide references for delicacy drug management. METHODS: Activity based classification( ABC) analysis
vital-essential-nonessential( VEN) analysis and ABC-VEN matrix analysis methods were adopted to analyze the varieties and consumption sum of drugs used by outpatient and inpatient in our hospital from Sept. 2018 to Aug. 2019
inventory turnover analysis and dosage analysis were conducted at the same time. RESULTS: Totally 698 kinds of drugs were used in the outpatient and inpatient in our hospital from Sept. 2018 to Aug. 2019
with the consumption sum of 669 322 100 yuan. Based on ABC analysis
the constitute ratio of varieties of drugs in categories A
B and C were respectively 15. 90%( 111 kinds)
20. 20%( 141 kinds) and 63. 90%( 446 kinds)
the constitute ratio of consumption sum were respectively 79. 85%( 534 441 300 yuan)
15. 10%( 101 081 400 yuan) and 5. 05%( 33 799 400 yuan). Based on VEN analysis
the constitute ratio of varieties of drugs in categories V
E and N were respectively 35. 10%( 245 kinds)
54. 44%( 380 kinds) and 10. 46%( 73 kinds)
the constitute ratio of consumption sum were respectively 29. 30%( 196 112 200 yuan)
63. 82%( 427 185 900 yuan) and 6. 88%( 46 024 000 yuan). Combined with ABC-VEN matrix analysis
the highest constituent ratio of varieties was 31. 52%( 220 kinds) for drugs in CE category
the highest constituent ratio of consumption sum was 51. 76%( 346 472 000 yuan) for drugs in AE category
the lowest constituent ratio of varieties was 0. 86%( 6 kinds) for drugs in AN category
and the lowest constituent ratio of consumption sum was 0. 66%( 4 411 800 yuan) for drugs in CN category. CONCLUSIONS: The upper and lower limits of inventory of partial CV-category and CE-category drugs should be appropriately adjusted to ensure the supply for clinical necessary and reduce the occurrence of drug shortage; there are some key drugs under national control among AE-category and AN-category drugs
reducing their use can not only reduce drug costs
but also help promoting clinical rational medication. Combining ABC analysis with VEN analysis to analyze the drug application in hospitals over a period of time is a scientific method applied to practical work
which can provide data support for the detailed management of drug inventory and clinical rational medication.
ABC分析法VEN分析法ABC-VEN矩阵分析法药品管理
ABC analysisVEN analysisABC-VEN matrix analysisDrug management
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