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Study on the management strategy of anticancer drugs in pharmacy intravenous admixture services based on failure mode and effect analysis

Published on Jun. 01, 2024Total Views: 950 times Total Downloads: 437 times Download Mobile

Author: YANG Dianli LI Jing YU Yajing

Affiliation: Department of Pharmacy, Wuhu First People's Hospital, Wuhu 241000, Anhui Province, China

Keywords: Failure mode Effect analysis Pharmacy intravenous admixture services Antitumor drug Drug administration

DOI: 10.12173/j.issn.1008-049X.202401197

Reference: YANG Dianli, LI Jing, YU Yajing, CHEN Li.Study on the management strategy of anticancer drugs in pharmacy intravenous admixture services based on failure mode and effect analysis[J].Zhongguo Yaoshi Zazhi,2024, 27(5):841-847.DOI: 10.12173/j.issn.1008-049X.202401197.[Article in Chinese]

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Abstract

Objective  To explore the application of failure mode and effect analysis (FMEA) to analyze the risk status of antitumor drugs in pharmacy intravenous admixture services (PIVAS), implement preventive measures, and to improve the drug safety.

Methods   FMEA method was used to analyze the risks of different failure modes in the management of antitumor drugs in PIVAS of Wuhu First People's Hospital, and the risk priority value (RPN) scores were calculated respectively. Taking RPN≥216 points as the medium and high risk points, effective preventive measures were taken for them, and the effects before and after the implementation of preventive measures were observed.

Results  After comprehensive analysis, 8 medium and high risk points were identified, including failure to carefully check the returned drugs, insufficient identification of drugs, failure to strictly implement the verification system, mixing of drugs before complete dissolution, incompatibility, wrong placement of drugs, failure to check and seal non-whole drugs by two people, and incorrect verification process. After the preventive measures were taken, the RPN score of the medium and high risk points of the 8 items before implementation was (271.88±33.97) points, the RPN score of the medium and high risk points of the 8 items after implementation was (76.25±28.38) points and there was a statistical difference between them  (P<0.05). Compared with before implementation of preventive measures, deployment error rate after implementation was lower (P<0.05).

Conclusion  FMEA method can effectively prevent risks and reduce the error rate of anti-tumor drug dispensing, thus ensuring the safety of medical staff and patients.

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References

1.Lu N, Huo JL, Wang S, et al. Drug repurposing: discovery of troxipide analogs as potent antitumor agents[J]. Eur J Med Chem, 2020, 202: 112471. DOI: 10.1016/j.ejmech.2020.112471.

2.梅隆, 李飒, 甄健存. 关注抗肿瘤类高警示药品的用药安全[J]. 中国医院药学杂志, 2019, 39(3): 310-312. [Mei L, Li S, Zhen JC. Concern about drug safety of anti-tumor high-warning drugs[J]. Chinese Journal of Hospital Pharmacy, 2019, 39(3): 310-312.] DOI: 10.13286/j.cnki.chinhosppharmacyj.2019.03.20.

3.张丹丹, 顾家萍, 蔡溱, 等. 反馈制度在静脉用药调配中心的建立及其效果[J]. 药学服务与研究, 2018, 18(2): 138-140. [Zhang DD, Gu JP, Cai Z, et al. Establishment and effect of feedback system in intravenous drug dispensing center[J]. Pharmaceutical Care and Research, 2018, 18(2): 138-140.] DOI: 10.5428/pcar20180215.

4.孙妍, 马骁驰, 白荣, 等. PIVAS建立对我院临床科室护理人员抗肿瘤药物职业暴露的防护作用调查[J]. 中国药房, 2018, 29(6): 739-745. [Sun Y, Ma XC, Bai R, et al. Investigation of protective effect of PIVAS on occupational exposure of nursing staff in clinical departments of our hospital[J]. Chinese Pharmacy, 2018, 29(6): 739-745.] DOI: 10.6039/j.issn.1001-0408.2018.06.05.

5.Zheng H, Tang Y. Deng Entropy weighted risk priority number model for failure mode and effects analysis[J]. Entropy (Basel), 2020, 22(3): 280. DOI: 10.3390/e22030280.

6.刘子祺, 黄兴环, 孙百顺, 等. 基于信息系统的失效模式与效应分析应用于用药医嘱安全性的研究[J]. 中国数字医学, 2020, 15(10): 64-67. [Liu ZQ, Huang XH, Sun BS, et al. Application of failure mode and effect analysis based on Information system to the safety of medication orders[J]. Chinese Digital Medicine, 2020, 15(10): 64-67.] DOI: 10.3969/j.issn.1673-7571.2020.10.021.

7.文柳静, 张洁. 失效模式和效应分析在住院药房药品调剂流程风险管理中的应用[J]. 现代药物与临床, 2022, 37(7): 1647-1652. [Wen LJ, Zhang J. Application of failure mode and effect analysis in risk management of drug dispensing process in inpatient pharmacy[J]. Modern Medicine and Clinical, 2022, 37(7): 1647-1652.] DOI: 10.7501/j.issn.1674-5515.2022.07.039.

8.樊蓉, 袁偲偲, 张海莲. 基于失效模式和效应分析的高锰酸钾外用制剂用药错误风险点研究[J]. 药物不良反应杂志, 2019, 21(2): 123-128. [Fan R, Yuan CC, Zhang  HL. Study on risk points of medication errors of potassium permanganate topical preparations based on failure mode and effect analysis[J]. Journal of Adverse Drug Reactions, 2019, 21(2): 123-128.] DOI: 10.3760/cma.j.issn.1008- 5734.2019.02.009.

9.王昕宇, 于慧, 杨祉妍, 等. 基于失效模式和效应分析的德谷胰岛素用药错误风险点研究[J]. 药物不良反应杂志, 2023, 25(4): 237-242. [Wang XY, Yu H, Yang  ZY, et al. Study on risk points of Degu insulin medication error based on failure mode and effect analysis[J]. Journal of Adverse Drug Reactions, 2023, 25(4): 237-242.] DOI: 10.3760/cma.j.cn114015-20220816-00751.

10.李红云, 汪惠, 边书芹, 等. 医疗失效模式与效应分析在儿科静脉用药调配中的应用[J]. 护理学报, 2020, 27(20): 12-16. [Li HY, Wang H, Bian SQ, et al. Application of medical failure mode and effect analysis in pediatric intravenous drug dispensing[J]. Journal of Nursing, 2020, 27(20): 12-16.] DOI: 10.16460/j.issn1008-9969.2020.20.012.

11.王宁生, 赵楠, 任碧琦, 等. 基于陕西省抗肿瘤药物不良反应报告的抗肿瘤用药安全性分析[J]. 中国药学杂志, 2022, 57(24): 2127-2134. [Wang NS, Zhao N, Ren BQ, et al. Safety analysis of antitumor drugs based on adverse reaction report of antitumor drugs in Shaanxi Province[J]. Chinese Journal of Pharmacy, 2022, 57(24): 2127-2134.] DOI: 10.11669/cpj.2022.24.011.

12.Ohdo S, Koyanagi S, Matsunaga N. Implications of biological clocks in pharmacology and pharmacokinetics of antitumor drugs[J]. J Control Release, 2023, 364: 490-507. DOI: 10.1016/j.jconrel.2023.10.049.

13.车啸天, 周洁. 静脉用药配置中心抗肿瘤药物静脉配置全过程质控管理措施及价值研究[J]. 中国肿瘤临床与康复, 2022, 29(7): 823-826. [Che XT, Zhou J. Study on the quality control management measures and value of the whole process of intravenous drug dispensing center for antitumor drugs[J]. Oncology Clinical and Rehabilitation in China, 2022, 29(7): 823-826.] DOI: 10.13455/j.cnki.cjcor. 2022.07.14.

14.史崇智. 医院静脉药物调配中心抗肿瘤药物不合理医嘱分析[J]. 山西医药杂志, 2022, 51(14): 1639-1641. [Shi CZ. Analysis of unreasonable medical orders for antitumor drugs in hospital intravenous drug dispensing center[J]. Shanxi Medical Journal, 2022, 51(14): 1639-1641.] DOI: 10.3969/j.issn.0253-9926.2022.14.024.

15.李静, 石庆平, 彭德峰. PDCA循环在静脉药物配置中心提高抗肿瘤药物配置质量中的应用[J]. 中华全科医学, 2018, 16(12): 2095-2097, 2101. [Li J, Shi QP, Peng  DF. Application of PDCA circulation in Intravenous drug dispensing center to improve the quality of antitumor drug dispensing[J]. Chinese General Practice, 2018, 16(12): 2095-2097,2101.] DOI: 10.16766/j.cnki.issn. 1674-4152.000571.

16.王琳, 张朗朗, 黄星丽. 细节管理和环节控制在静脉用药调配中心抗肿瘤药物配置质量中的应用[J]. 中国肿瘤临床与康复, 2022, 29(8): 1000-1003. [Wang L, Zhang LL, Huang XL. Application of detail management and link control in the dispensing quality of antitumor drugs in intravenous drug dispensing center[J]. Oncology Clinical and Rehabilitation in China, 2022, 29(8): 1000-1003.] DOI: 10.13455/j.cnki.cjcor.2022.08.26.

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