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运用失效模式与效应分析改进静脉药物配置中心单克隆抗体类药物管理流程

Use of failure mode and effect analysis to improve the monoclonal antibody drugs management process in pharmacy intravenous admixture services.

作者信息

Cai Jian, Li Min-Xian, Lu Shuai, Shen Dan, Xie Wei, Zhu Jian-Jun, Jiang Guo-Jun, Lu Chun-Xiao

机构信息

Department of Pharmacy, Zhejiang Xiaoshan Hospital, Hangzhou, 311202, China.

出版信息

Sci Rep. 2025 Feb 7;15(1):4653. doi: 10.1038/s41598-025-89145-3.

DOI:10.1038/s41598-025-89145-3
PMID:39920197
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11806031/
Abstract

Monoclonal antibodies (mAbs) constitute a new form of immunotherapy that has shown great success in long-term tumour control. These injectable drugs are managed and compounded by the Pharmacy Intravenous Admixture Services (PIVAS) staff in a specified sterile environment. This study utilized failure mode and effect analysis (FMEA) as a risk management tool to manage mAb drugs within the PIVAS. The nine-member multidisciplinary team mapped the processes; evaluated the severity, occurrence, and detection of each subprocess; and calculated the risk priority number (RPN). Further corrective actions were taken for high-risk steps, followed by re-evaluation and scoring to achieve a low-risk process. We identified seven major processes and twenty-eight subprocesses involved in the management of mAb drugs in PIVAS. A total of thirteen high-risk failure modes with an assigned RPN 1 were selected. This selection represents the first calculated RPN values, resulting in a total score of 3375. After a first round of evaluation and implementation of corrective actions, the RPN 2 score decreased to 464. Following a second round of the FMEA process, the RPN 3 score was further reduced to 51. Through refinement, we successfully mitigated the occurrence of high-risk failure modes of mAb drugs in PIVAS. These efforts are aimed at enhancing the safety and efficacy of mAb drugs, ultimately ensuring patient safety.

摘要

单克隆抗体(mAbs)构成了一种新的免疫疗法形式,已在长期肿瘤控制方面取得了巨大成功。这些注射用药物由药房静脉药物配置中心(PIVAS)的工作人员在特定的无菌环境中进行管理和配制。本研究利用失效模式与效应分析(FMEA)作为风险管理工具,对PIVAS内的单克隆抗体药物进行管理。这个由九名成员组成的多学科团队绘制了流程;评估了每个子流程的严重性、发生频率和可检测性;并计算了风险优先数(RPN)。针对高风险步骤采取了进一步的纠正措施,随后进行重新评估和评分,以实现低风险流程。我们确定了PIVAS中管理单克隆抗体药物所涉及的七个主要流程和二十八个子流程。总共选择了13个风险优先数为1的高风险失效模式。这一选择代表了首次计算的RPN值,总分为3375。在第一轮评估和实施纠正措施后,RPN 2分数降至464。经过第二轮FMEA流程,RPN 3分数进一步降至51。通过优化,我们成功降低了PIVAS中单抗药物高风险失效模式的发生率。这些努力旨在提高单抗药物的安全性和有效性,最终确保患者安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/9e2b4ef0fd50/41598_2025_89145_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/04df13d207bf/41598_2025_89145_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/722e0b1bbb50/41598_2025_89145_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/f233314e6668/41598_2025_89145_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/9e2b4ef0fd50/41598_2025_89145_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/04df13d207bf/41598_2025_89145_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/722e0b1bbb50/41598_2025_89145_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/f233314e6668/41598_2025_89145_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2377/11806031/9e2b4ef0fd50/41598_2025_89145_Fig4_HTML.jpg

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Mol Pharm. 2023 Dec 4;20(12):6474-6491. doi: 10.1021/acs.molpharmaceut.3c00859. Epub 2023 Nov 14.
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Overview of Failure Mode and Effects Analysis (FMEA): A Patient Safety Tool.
失效模式与效应分析(FMEA)概述:一种患者安全工具。
Glob J Qual Saf Healthc. 2023 Feb 23;6(1):24-26. doi: 10.36401/JQSH-23-X2. eCollection 2023 Feb.
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Application of information-intelligence technologies in pharmacy intravenous admixture services in a Chinese third-class a hospital.信息情报技术在中国三级甲等医院药学静脉药物配置服务中的应用。
BMC Health Serv Res. 2022 Oct 7;22(1):1238. doi: 10.1186/s12913-022-08580-4.
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Implementation of the failure modes and effects analysis in a Hospital Radiopharmacy Unit.在医院放射药房实施失效模式和影响分析。
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