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首页> 外文期刊>Current anaesthesia and critical care >Appraising the post-marketing safety of medicines: A description of national and international pharmacovigilance with a focus on medicines used in chronic pain
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Appraising the post-marketing safety of medicines: A description of national and international pharmacovigilance with a focus on medicines used in chronic pain

机译:评估药物的上市后安全性:描述国家和国际药物警戒,重点是用于慢性疼痛的药物

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摘要

Clinicians play a key role in appraising the safety of medicines after marketing. A wide variety of adverse reactions and novel interactions may occur in individual patients. Formal reporting by prescribers and evaluation of their observations to allow timely communication of risk back to the end users is vital. Many countries have regional or national pharmacovigilance centres which contribute to the World Health Organization (WHO) Global Individual Case Safety Report (1CSR) database, VigiBase. We describe the role of pharmacovigilance in detecting and evaluating emerging evidence of adverse drug reactions, i.e. "signals" using the New Zealand Pharmacovigilance Centre as an example. The benefits to individual patient safety through a medical warning system are of particular relevance to anaesthetic practice. Effective and holistic pharmacovigilance relies on voluntary reporting systems for all therapeutic products, prescription or cohort event monitoring of selected medicines and vaccines, and specific monitoring of medication error. Ongoing development of computational methods for data-mining in the voluntary reporting databases for signal detection and the application of these methods to electronic longitudinal health care databases such as general practice records in order to detect, confirm or refute, and characterise signals of adverse drug reactions are also described.
机译:临床医生在评估上市后药品的安全性方面起着关键作用。个别患者可能发生各种各样的不良反应和新的相互作用。开处方者进行正式报告并评估其观察结果,以便及时将风险传达给最终用户至关重要。许多国家/地区设有地区或国家级药物警戒中心,这些中心为世界卫生组织(WHO)全球个人病例安全报告(1CSR)数据库VigiBase做出了贡献。我们以新西兰药物警戒中心为例,介绍了药物警戒在检测和评估药物不良反应的新证据(即“信号”)中的作用。通过医疗警告系统对患者个人安全的益处与麻醉实践特别相关。有效且全面的药物警戒依赖于所有治疗产品的自愿报告系统,对选定药物和疫苗的处方或队列事件进行监控以及对药物错误的特定监控。正在进行中的在自愿报告数据库中用于信号检测的数据挖掘计算方法的开发以及将这些方法应用于电子纵向医疗保健数据库(例如,常规记录)以检测,确认或反驳和表征药物不良反应的信号也进行了描述。

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