{"title":"埃塞俄比亚Dessie转诊医院使用ABC-VEN矩阵的药品库存管理关键分析","authors":"Solomon Ahmed Mohammed, Birhanu Demeke Workneh","doi":"10.2147/IPRP.S265438","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Inventory management is a complex process that accelerates the probability of stock-out and overstocking if not tracked properly. Classification of drugs based on their criticality, cost burden, and in combination is important to make inventory decisions and optimize the quality use of scarce resources. This study analyzed the pharmaceutical inventory management systems of Dessie Referral Hospital using the ABC-VEN matrix for the years 2013 to 2017.</p><p><strong>Methodology: </strong>Cross-sectional study design was used to review logistic data retrospectively from health commodity management information system and manual records. Data were collected from January 1-20, 2018 in Dessie Referral Hospital.</p><p><strong>Results: </strong>In the five-year ABC-VEN analysis, 310 (17%), 368 (20.18%), and 1146 (62.83%) items were class A, B, and C, while 610 (34.56%), 1125 (63.74%), and 30 (1.7%) of pharmaceuticals were V, E, and N, respectively. Among these, 139 (7.88%) and 339 (19.21%) of AV and CV pharmaceuticals utilized 43.52% and 2.89% of annual drug expenditures, respectively. Category I, II, and III pharmaceuticals also accounted for 43.68%, 54.79%, and 1.53% of items with their respective USD drug expenditure of 2,268,405.64 (84.49%), 411,961.18 (15.34%), and 4483.97 (0.17%). The pharmaceutical inventory cost projected to be 1,619,351.79 USD in 2025 and total cost (β= 10.68, p = 0.001), class A (β= 8.68, p = 0.001), class B (β= 1.27, p = 0.007), class C (β= 0.72, p = 0.03), and E items (β= 6.08, p = 0.01) were statistically significant with inventory cost.</p><p><strong>Conclusion: </strong>A huge amount of budget is invested in class A and category I, which pinpoints the need for strict inventory control to prevent wastage and accumulation of capital in buffer stocks. ABC-VEN analysis should be routinely performed before initiation of any new procurement for efficient use of scarce resources.</p>","PeriodicalId":45655,"journal":{"name":"Integrated Pharmacy Research and Practice","volume":"9 ","pages":"113-125"},"PeriodicalIF":2.1000,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/IPRP.S265438","citationCount":"10","resultStr":"{\"title\":\"Critical Analysis of Pharmaceuticals Inventory Management Using the ABC-VEN Matrix in Dessie Referral Hospital, Ethiopia.\",\"authors\":\"Solomon Ahmed Mohammed, Birhanu Demeke Workneh\",\"doi\":\"10.2147/IPRP.S265438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Inventory management is a complex process that accelerates the probability of stock-out and overstocking if not tracked properly. Classification of drugs based on their criticality, cost burden, and in combination is important to make inventory decisions and optimize the quality use of scarce resources. This study analyzed the pharmaceutical inventory management systems of Dessie Referral Hospital using the ABC-VEN matrix for the years 2013 to 2017.</p><p><strong>Methodology: </strong>Cross-sectional study design was used to review logistic data retrospectively from health commodity management information system and manual records. Data were collected from January 1-20, 2018 in Dessie Referral Hospital.</p><p><strong>Results: </strong>In the five-year ABC-VEN analysis, 310 (17%), 368 (20.18%), and 1146 (62.83%) items were class A, B, and C, while 610 (34.56%), 1125 (63.74%), and 30 (1.7%) of pharmaceuticals were V, E, and N, respectively. Among these, 139 (7.88%) and 339 (19.21%) of AV and CV pharmaceuticals utilized 43.52% and 2.89% of annual drug expenditures, respectively. Category I, II, and III pharmaceuticals also accounted for 43.68%, 54.79%, and 1.53% of items with their respective USD drug expenditure of 2,268,405.64 (84.49%), 411,961.18 (15.34%), and 4483.97 (0.17%). The pharmaceutical inventory cost projected to be 1,619,351.79 USD in 2025 and total cost (β= 10.68, p = 0.001), class A (β= 8.68, p = 0.001), class B (β= 1.27, p = 0.007), class C (β= 0.72, p = 0.03), and E items (β= 6.08, p = 0.01) were statistically significant with inventory cost.</p><p><strong>Conclusion: </strong>A huge amount of budget is invested in class A and category I, which pinpoints the need for strict inventory control to prevent wastage and accumulation of capital in buffer stocks. ABC-VEN analysis should be routinely performed before initiation of any new procurement for efficient use of scarce resources.</p>\",\"PeriodicalId\":45655,\"journal\":{\"name\":\"Integrated Pharmacy Research and Practice\",\"volume\":\"9 \",\"pages\":\"113-125\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2020-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2147/IPRP.S265438\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Integrated Pharmacy Research and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/IPRP.S265438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Pharmacy Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/IPRP.S265438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 10
摘要
简介:库存管理是一个复杂的过程,如果没有适当的跟踪,它会增加缺货和库存过剩的可能性。根据药物的重要性、成本负担以及两者的组合对药物进行分类,对于制定库存决策和优化稀缺资源的质量利用具有重要意义。本研究采用ABC-VEN矩阵对Dessie转诊医院2013 - 2017年药品库存管理系统进行分析。方法:采用横断面研究设计对卫生商品管理信息系统和手工记录的logistic数据进行回顾性分析。数据于2018年1月1日至20日在Dessie转诊医院收集。结果:在5年的ABC-VEN分析中,A、B、C类药品有310种(17%)、368种(20.18%)、1146种(62.83%),V、E、N类药品分别有610种(34.56%)、1125种(63.74%)、30种(1.7%)。其中,有139种(7.88%)和339种(19.21%)的AV和CV药品分别使用了年度药品支出的43.52%和2.89%。第一类、第二类和第三类药品也分别占43.68%、54.79%和1.53%,药品支出美元分别为2,268,405.64(84.49%)、411,961.18(15.34%)和4483.97(0.17%)。预计2025年药品库存成本为1,619,351.79美元,总成本(β= 10.68, p = 0.001)、A类(β= 8.68, p = 0.001)、B类(β= 1.27, p = 0.007)、C类(β= 0.72, p = 0.03)、E类(β= 6.08, p = 0.01)与库存成本存在显著差异。结论:A类和I类投入了大量的预算,这就需要严格的库存控制,防止缓冲库存的浪费和资金积累。为了有效利用稀缺资源,在开始任何新的采购之前应常规进行ABC-VEN分析。
Critical Analysis of Pharmaceuticals Inventory Management Using the ABC-VEN Matrix in Dessie Referral Hospital, Ethiopia.
Introduction: Inventory management is a complex process that accelerates the probability of stock-out and overstocking if not tracked properly. Classification of drugs based on their criticality, cost burden, and in combination is important to make inventory decisions and optimize the quality use of scarce resources. This study analyzed the pharmaceutical inventory management systems of Dessie Referral Hospital using the ABC-VEN matrix for the years 2013 to 2017.
Methodology: Cross-sectional study design was used to review logistic data retrospectively from health commodity management information system and manual records. Data were collected from January 1-20, 2018 in Dessie Referral Hospital.
Results: In the five-year ABC-VEN analysis, 310 (17%), 368 (20.18%), and 1146 (62.83%) items were class A, B, and C, while 610 (34.56%), 1125 (63.74%), and 30 (1.7%) of pharmaceuticals were V, E, and N, respectively. Among these, 139 (7.88%) and 339 (19.21%) of AV and CV pharmaceuticals utilized 43.52% and 2.89% of annual drug expenditures, respectively. Category I, II, and III pharmaceuticals also accounted for 43.68%, 54.79%, and 1.53% of items with their respective USD drug expenditure of 2,268,405.64 (84.49%), 411,961.18 (15.34%), and 4483.97 (0.17%). The pharmaceutical inventory cost projected to be 1,619,351.79 USD in 2025 and total cost (β= 10.68, p = 0.001), class A (β= 8.68, p = 0.001), class B (β= 1.27, p = 0.007), class C (β= 0.72, p = 0.03), and E items (β= 6.08, p = 0.01) were statistically significant with inventory cost.
Conclusion: A huge amount of budget is invested in class A and category I, which pinpoints the need for strict inventory control to prevent wastage and accumulation of capital in buffer stocks. ABC-VEN analysis should be routinely performed before initiation of any new procurement for efficient use of scarce resources.