低收入和中等收入国家的药监过程:从数据收集到数据分析和解释
Olga Menang1,2, Peter van Eeuwijk3,2, Karen Maigetter3,2
1Department of Medicine, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil 4123, Switzerland.
Therapeutic advances in drug safety
|June 13, 2025
概括
由于资源有限,低收入和中等收入国家 (LMIC) 在分析药监数据方面面临挑战. 通过标准化程序和专门的工作人员加强数据分析能力,对于有效的药物安全监测至关重要.
科学领域:
- 药监和药物安全 药监和药物安全
- 全球健康 全球健康
- 监管科学 监管科学
背景情况:
- 药监数据分析对于药物的持续益处风险评估至关重要.
- 有效的分析支持信号检测,并为监管行动提供信息.
- 低收入和中等收入国家 (LMIC) 在实时药监数据分析方面面临重大挑战.
研究的目的:
- 评估LMIC中药监数据分析的能力.
- 确定加强LMIC数据分析,解释和决策的机制.
主要方法:
- 融合平行混合方法研究设计.
- 定性:与关键信息提供者的半结构面试.
- 定量:在VigiBase® (2019-2023) 中的不良事件报告的在线调查和横截面分析.
主要成果:
- 来自34个国家的9名关键信息人员和50名受访者参与了调查.
- 提出了四项变革性行动:利用现有能力,标准化程序,分配专门的员工,并实施利益风险评估机制.
- 许多LMIC收集数据,但由于知识,流程和结构不足,缺乏国内分析能力.
结论:
- 低微企业往往有报告系统,但数据分析能力有限.
- 实施拟议的机制将提高LMIC高效药监数据分析的能力.
- 加强的分析支持在LMIC中为药物安全做出一致的,基于证据的决策.
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