Telfair Tamara, Mohan Aparna K, Shahani Shalini, Klincewicz Stephen, Atsma Willem Jan, Thomas Adrian, Fife Daniel
Johnson & Johnson Pharmaceutical Research and Development, Benefit-Risk Management Department, Epidemiology Division, Titusville, NJ 08560, USA.
Pharmacoepidemiol Drug Saf. 2006 Oct;15(10):749-53. doi: 10.1002/pds.1264.
The pharmaceutical industry has an obligation to identify adverse reactions to drug products during all phases of drug development, including the post-marketing period. Estimates of population exposure to pharmaceutical products are important to the post-marketing surveillance of drugs, and provide a context for assessing the various risks and benefits, including drug safety, associated with drug treatment. This paper describes a systematic approach to estimating post-marketing drug exposure using ex-factory shipment data to estimate the quantity of medication available, and dosage information (stratified by indication or other factors as appropriate) to convert the quantity of medication to person time of exposure. Unlike the non-standardized methods often used to estimate exposure, this approach provides estimates whose calculations are explicit, documented, and consistent across products and over time. The methods can readily be carried out by an individual or small group specializing in this function, and lend themselves to automation. The present estimation approach is practical and relatively uncomplicated to implement. We believe it is a useful innovation.
制药行业有义务在药物研发的各个阶段,包括上市后阶段,识别药品的不良反应。对药品人群暴露量的估计对于药品上市后监测很重要,并且为评估与药物治疗相关的各种风险和益处(包括药物安全性)提供了背景信息。本文描述了一种系统方法,该方法利用出厂发货数据估计可获得的药物数量,并利用剂量信息(根据适应症或其他适当因素进行分层)将药物数量转换为人暴露时间,以此来估计上市后药物暴露量。与通常用于估计暴露量的非标准化方法不同,这种方法提供的估计值计算明确、有记录且在不同产品和不同时间内保持一致。这些方法可由专门从事此功能的个人或小团队轻松完成,并且适合自动化操作。目前的估计方法实用且实施起来相对简单。我们认为这是一项有益的创新。