Reducing Pharmaceutical and Non-Pharmaceutical Inventory Waste in Tertiary Hospital: Impact of ABC-VEN Analysis in a Zero-Waste Strategy Over 7 Years.

IF 2 4区医学 Q2 HEALTH CARE SCIENCES & SERVICES Risk Management and Healthcare Policy Pub Date : 2024-11-04 eCollection Date: 2024-01-01 DOI:10.2147/RMHP.S467230

Menyfah Q Alanazi, Eyad K Alkhadhairi, Waleed H Alrumi, Sami A Alajlan

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Abstract

Aim: To evaluate the prevalence and trend of inventory waste in a tertiary hospital over the last 7 years. This included the type and average monetary value (MV) of inventory waste, as well as the outcome of using the Always-Better-Control (ABC)-Vital-Essential-Non-essential (VEN) matrix as part of a Zero-Waste Strategy.

Methods: This was a retrospective observational study conducted at King Abdulaziz Medical City (KAMC) over 7 years.

Results: The prevalence of waste was 0.21%, which equates to (SAR) 15 million out of SAR 7 billion. The pharmaceutical inventory had significantly higher waste in terms of MV and the number of items (89.8%, and 80.3%, respectively) (P<0.001). The expired pharmaceutical inventory had a significantly higher waste of MV than non-moving and obsolete inventory (79.8%, 14.3%, and 5.9%, respectively) (P<0.001). The ABC-VEN matrix categorized the inventory into Category I, which has the highest MV waste at 82.3%, followed by Category II with 16.8%, and then Category III with 0.9%. However, category II had a significantly higher number of wasted items at (58.2%), followed by Category I (24%) and Category III (17.8%) (P<0.01). The majority of MV waste consisted of a small number of pharmaceutical items that had a high clinical impact, representing 66% and 18%, respectively. After implementing a zero-waste strategy for landfills using the ABC-VEN matrix, the prevalence of waste declined from 0.9% to 0.21%. The waste sent to the landfill was zero from 2018 through 2020, saving 73.64% of the total money.

Conclusion: The use of the ABC-VEN matrix positively impacted the reduction of MV waste. The prevalence and trend rate of inventory waste were lower than the benchmarks of global companies, saving more than two-thirds of the inventory value that would have been wasted. The majority of the wasted MV consisted of a small number of pharmaceutical items that had a significant clinical impact.

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减少三级医院的药品和非药品库存废物：ABC-VEN 分析法在 7 年零废物战略中的影响。

目的：评估一家三级医院在过去 7 年中库存浪费的发生率和趋势。这包括库存浪费的类型和平均货币价值（MV），以及作为零浪费战略一部分的 "始终更好地控制（ABC）-重要-必要-非必要（VEN）"矩阵的使用结果：这是一项在阿卜杜勒-阿齐兹国王医疗城（KAMC）进行的回顾性观察研究，历时 7 年：浪费率为 0.21%，相当于 70 亿里亚尔中的 1,500 万里亚尔。从 MV 和项目数量来看，药品库存的浪费率明显更高（分别为 89.8%和 80.3%）（PC 结论：使用 ABC-VEN 矩阵可以减少药品库存中的浪费：ABC-VEN 矩阵的使用对减少 MV 浪费产生了积极影响。库存浪费的发生率和趋势率均低于全球公司的基准，节省了三分之二以上本应浪费的库存价值。大部分被浪费的库存价值由少数对临床有重大影响的药品组成。

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来源期刊

Risk Management and Healthcare Policy Medicine-Public Health, Environmental and Occupational Health

CiteScore

6.20

自引率

2.90%

发文量

242

审稿时长

16 weeks

期刊介绍： Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include: Public and community health Policy and law Preventative and predictive healthcare Risk and hazard management Epidemiology, detection and screening Lifestyle and diet modification Vaccination and disease transmission/modification programs Health and safety and occupational health Healthcare services provision Health literacy and education Advertising and promotion of health issues Health economic evaluations and resource management Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.