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中国药学(英文版) ›› 2025, Vol. 34 ›› Issue (2): 175-184.DOI: 10.5246/jcps.2025.02.014

• 【药事管理与临床药学专栏】 • 上一篇    下一篇

中国药品上市后信号检测现状调查: 一项基于访谈的研究

孙雪林1, 张亚同1,*(), 钱东方2, 谭斯元2, 张子轩2, 金鹏飞1, 胡欣1   

  1. 1. 北京医院药学部, 国家老年医学中心, 中国医学科学院老年医学研究院, 北京 100730
    2. 北京北方医药健康经济研究中心, 北京 100021
  • 收稿日期:2024-10-23 修回日期:2024-11-06 接受日期:2024-12-03 出版日期:2025-03-01 发布日期:2025-03-02
  • 通讯作者: 张亚同

An investigation into the current status of post-marketing signal detection for pharmaceutical products in China: An interview-based study

Xuelin Sun1, Yatong Zhang1,*(), Dongfang Qian2, Siyuan Tan2, Zixuan Zhang2, Pengfei Jin1, Xin Hu1   

  1. 1 Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
    2 Beijing North Medical Health Economic Research Center, Beijing 100021, China
  • Received:2024-10-23 Revised:2024-11-06 Accepted:2024-12-03 Online:2025-03-01 Published:2025-03-02
  • Contact: Yatong Zhang
  • Supported by:
    China National Key Research and Development Program (Grant No. 2020YFC2009000 and 2020YFC2009001), National High Level Hospital Clinical Research Funding (Grant No. BJ-2023-200), and the project funding from the Drug Evaluation Center of the National Medical Products Administration (Grant No. CDRW20214001).

摘要:

本研究的目的是了解药品上市许可持有人开展信号检测的现状和主要方法, 为监管部门制定相关监管政策提供参考。根据《药物警戒质量管理规范》中规定的信号检测相关内容, 对药品上市许可持有人负责药物警戒(PV)的人员进行抽样访谈, 访谈共6个主题, 每个主题都预设了开放性的细节问题, 包括信号收集、信号检测、信号评价、聚集性信号检测以及目前的困难和问题。本次共访谈药品上市许可持有人26家, 其中包括14家外资企业与12家内资企业。外资企业以及一部分创新药本土企业使用Oracle的Argus和Empirica分别进行药品不良反应信息的存储和计算机辅助的定量信号检测; 大部分本土企业使用太美的系统进行存储和定性检测; 少数使用其他系统。总体而言, 外资持有人药物警戒体系完善, 企业均执行欧盟、FDA等成熟标准, 国内创新MAHs相较于传统国内MAHs拥有更全面的药物警戒系统, 其信号检测方法受到外资MAHs实践的启发。本文综合了有关这些MAHs药物警戒实践状况的发现, 揭示了挑战、成就以及改进的潜在途径。

关键词: 药物警戒, 信号, 药品上市许可持有人, 药品不良反应

Abstract:

The aim of this study was to provide insights into the current status and primary methodologies employed by marketing authorization holders (MAHs) for signal detection. These insights are intended to offer valuable references for regulatory authorities in shaping pertinent regulatory policies. We conducted purposive sampling interviews with personnel responsible for pharmacovigilance (PV) within MAHs, in accordance with “Good Pharmacovigilance Practice (GVP)”. The interviews covered six predefined topics with open-ended discussions, including signal collection, signal detection, signal evaluation, clustered signal detection, and current challenges and issues. A total of 26 MAHs were interviewed, comprising 14 foreign-owned and 12 domestic enterprises. Foreign-owned enterprises, along with some local innovative pharmaceutical companies, utilized Oracle’s Argus and Empirica for adverse drug reaction information storage and computer-aided quantitative signal detection, respectively. The majority of domestic enterprises used the Taimei system for data storage and qualitative analysis, although a few employed other systems. Foreign-owned MAHs had comprehensive drug vigilance systems, aligning with established standards such as those of the European Union and the United States. Domestic innovative MAHs had more comprehensive drug vigilance systems compared to traditional domestic MAHs. Their signal detection approaches drew inspiration from the practices of foreign MAHs. This work synthesized findings related to the state of PV practices within these MAHs, shedding light on the challenges, achievements, and potential pathways for improvement.

Key words: Pharmacovigilance, Signal, Marketing authorization holder, Adverse drug reactions

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