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中国临床药理学与治疗学 ›› 2021, Vol. 26 ›› Issue (9): 1031-1036.doi: 10.12092/j.issn.1009-2501.2021.09.008

• 临床药理学 • 上一篇    下一篇

医疗失效模式与效应分析在I期临床试验血液样本管理中的应用

宋岩,高琳艳,张艳平,李想,张兰   

  1. 首都医科大学宣武医院药学部I期临床研究中心,北京 100053
  • 收稿日期:2021-04-22 修回日期:2021-08-01 出版日期:2021-09-26 发布日期:2021-09-30
  • 通讯作者: 张兰,女,博士,教授,博士生导师,研究方向:临床药理学,药物临床试验。 Tel: 010-83199071 E-mail: lanizhg@126.com
  • 作者简介:宋岩,女,本科,副主任护师,研究方向:药物临床试验。 Tel: 13611185630 E-mail: songyan6622@126.com
  • 基金资助:
    北京市医院管理中心“登峰”计划专项(DFL20190803);北京市医院管理局,国家“重大新药创制”科技重大专项(2017ZX09101001-002-044)

Application of medical failure mode and effect analysis in blood sample management in phase I clinical trials#br#

SONG Yan, GAO Linyan, ZHANG Yanping, LI Xiang, ZHANG Lan   

  1. Phase I Clinical Trial Center, Xuanwu Hospital of Capital Medical University, Beijing 100053, China

  • Received:2021-04-22 Revised:2021-08-01 Online:2021-09-26 Published:2021-09-30

摘要: 目的:探讨应用医疗失效模式与效应分析在I期临床试验血液样本管理中的应用效果,为提升血液样本管理质量提供依据。方法:采用方便抽样法抽取I期临床试验健康受试者的血液样本作为研究对象,根据是否实施医疗失效模式与效应分析方法分为对照组3 080个,观察组3 064个。比较两组血液样本不合格率、不合格项目的数量、受试者满意度及研究者考试合格率情况。结果:对照组血液样本不合格率1.95%,观察组血液样本不合格率0.59%,两组差异有统计学意义(P<0.05)。观察组血液样本不合格项目的数量低于对照组,两组差异有统计学意义(P<0.05)。观察组受试者满意度、研究者考试合格率高于对照组,两组差异有统计学意义(P<0.05)。结论:实施医疗失效模式与效应分析不仅为临床试验药物浓度检测分析提供合格的生物样本,还增强研究者规范化专业化水平,有助于临床试验整体质量的进步。

关键词: 医疗失效模式与效应分析, I期临床试验, 血液样本, 质量管理, 研究者

Abstract: AIM: To explore the application effect of medical failure mode and effect analysis in the blood sample management of phase I clinical trials, and to provide a basis for improving the quality of blood sample management.  METHODS: Convenient sampling was used to draw blood samples from healthy subjects in phase I clinical trials as the research objects. According to whether the medical failure mode and effect analysis method was implemented, they were divided into 3 080 control groups and 3 064 observation groups. The unqualified rate of blood samples, the number of unqualified items, the satisfaction of subjects and the passing rate of the researcher's examination between the two groups were compared. RESULTS: The unqualified rate of blood samples in the control group was 1.95%, and the unqualified rate of blood samples in the observation group was 0.59%. The difference between the two groups was statistically significant (P<0.05).  The number of unqualified items in the blood samples of the observation group was lower than that of the control group, and the difference between the two groups was statistically significant (P<0.05). The satisfaction of subjects in the observation group and the passing rate of the investigator were higher than those in the control group, and the difference between the two groups was statistically significant (P<0.05). CONCLUSION: The implementation of medical failure mode and effect analysis not only provides qualified biological samples for the detection and analysis of drug concentration in clinical trials, but also enhances the standardization and specialization of researchers, and contributes to the improvement of the overall quality of clinical trials.

Key words: analysis of medical failure modes and effects, phase I clinical trial, blood samples, quality management, researcher

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