University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC.
Moses H. Cone Memorial Hospital, Greensboro, NC.
Am J Health Syst Pharm. 2020 Sep 4;77(18):1497-1503. doi: 10.1093/ajhp/zxaa199.
To outline a data-driven analysis involving use of intravenous (i.v.) pump data to identify optimal drug and fluid amounts for various continuous infusions, with the primary goal of minimizing medication waste. This methodology incorporates analysis of vial sizes, infusion rates, number of bag exchanges, and bag volumes to determine optimal concentrations that improve operational efficiencies and decrease drug and fluid waste.
A retrospective evaluation of i.v. infusion pump utilization data for continuous infusions of norepinephrine, phenylephrine, vasopressin, and cisatracurium was performed using data provided by 9 hospitals in North Carolina during January, April, and June of 2015.
The recommended medication concentrations and fluid volumes were determined using a novel 4-step analysis, the VERB (Vial, Exchange, Rate, and Bag) analysis, which applied optimal practices for cost reduction, operational efficiency, and patient safety. The application of the VERB analysis to the i.v. infusion pump utilization data resulted in the following recommended medication concentrations: norepinephrine, 4 mg/100 mL (final concentration, 40 µg/mL) and 16 mg/250 mL (final concentration, 64 µg/mL); phenylephrine, 10 mg/100 mL (final concentration, 100 µg/mL); vasopressin, 20 units/100 mL (final concentration, 0.2 unit/mL); and cisatracurium, 200 mg/100 mL (final concentration, 2 mg/mL). It was determined that implementation of the recommended concentrations by the 9 study hospitals would result in significant medication cost savings and fluid volume savings.
Analysis of i.v. infusion pump data from multiple hospitals using VERB analysis resulted in standardized medication concentrations and bag sizes for continuous infusions that reduce drug and fluid waste and improve operational efficiencies.
概述一项数据驱动的分析，涉及使用静脉（i.v.）输液泵数据来确定各种连续输注的最佳药物和液体量，主要目标是最小化药物浪费。该方法分析小瓶大小、输注速度、袋交换次数和袋体积，以确定最佳浓度，提高运营效率并减少药物和液体浪费。
使用北卡罗来纳州 9 家医院在 2015 年 1 月、4 月和 6 月提供的数据，对去甲肾上腺素、苯肾上腺素、血管加压素和顺苯磺酸的连续输注静脉输液泵利用数据进行回顾性评估。
使用一种新的 4 步分析方法，即 VERB（小瓶、交换、速度和袋）分析，确定了推荐的药物浓度和液体量，该分析方法应用了降低成本、提高运营效率和患者安全的最佳实践。将 VERB 分析应用于静脉输液泵利用数据，得到以下推荐的药物浓度：去甲肾上腺素，4 mg/100 mL（最终浓度，40 µg/mL）和 16 mg/250 mL（最终浓度，64 µg/mL）；苯肾上腺素，10 mg/100 mL（最终浓度，100 µg/mL）；血管加压素，20 单位/100 mL（最终浓度，0.2 单位/mL）；顺苯磺酸，200 mg/100 mL（最终浓度，2 mg/mL）。研究的 9 家医院实施推荐浓度将导致显著的药物成本节约和液体量节约。
使用 VERB 分析对来自多家医院的静脉输液泵数据进行分析，得出了连续输注的标准化药物浓度和袋大小，减少了药物和液体浪费，并提高了运营效率。
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