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Using VigiBase to Identify Substandard Medicines: Detection Capacity and Key Prerequisites

机译:使用VigiBase识别不合格药物:检测能力和关键前提

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摘要

BackgroundSubstandard medicines, whether the result of intentional manipulation or lack of compliance with good manufacturing practice (GMP) or good distribution practice (GDP), pose a significant potential threat to patient safety. Spontaneous adverse drug reaction reporting systems can contribute to identification of quality problems that cause unwanted and/or harmful effects, and to identification of clusters of lack of efficacy. In 2011, the Uppsala Monitoring Centre (UMC) constructed a novel algorithm to identify reporting patterns suggestive of substandard medicines in spontaneous reporting, and applied it to VigiBase®, the World Health Organization’s global individual case safety report database. The algorithm identified some historical clusters related to substandard products, which were later able to be confirmed in the literature or by contact with national centres (NCs). As relevant and detailed information is often lacking in the VigiBase reports but might be available at the reporting NC, further evaluation of the algorithm was undertaken with involvement from NCs.
机译:背景技术不合格的药物,无论是故意操纵的结果,还是未遵循良好生产规范(GMP)或良好分销规范(GDP)的结果,都会对患者安全构成重大潜在威胁。自发的药物不良反应报告系统可有助于识别导致不良和/或有害影响的质量问题,并有助于识别缺乏功效的类群。 2011年,乌普萨拉监测中心(UMC)构建了一种新颖的算法,可在自发报告中识别暗示不合标准药物的报告模式,并将其应用于世界卫生组织的全球个案安全报告数据库VigiBase ® 。该算法确定了一些与不合格产品有关的历史聚类,这些聚类后来可以在文献中或与国家中心(NC)联系后得到确认。由于VigiBase报告中通常缺少相关的详细信息,但可能在报告NC中可用,因此在NC的参与下对该算法进行了进一步评估。

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