Pigeot Iris, Ahrens Wolfgang
Bremen Institute for Prevention Research and Social Medicine, Bremen, Germany.
Pharmacoepidemiol Drug Saf. 2008 Mar;17(3):215-23. doi: 10.1002/pds.1545.
We present a new population-based pharmacoepidemiological (PE) database obtained from statutory health insurances (SHIs) that is able to generate signals, to monitor prescribed drugs and to describe drug utilisation. We discuss methodological features of the database and we assess to which degree this database reflects basic demographic characteristics and hospitalisation rates of the general population.
Files of three SHIs were linked with drug dispensation data from a pharmacies' electronic data processing centre on an individual basis using the unique subject identification number (ID) at a trusted third party centre. Plausibility checks and descriptive analyses were carried out.
The database covers 3.6 million SHI-members, provides drug utilisation data and data on hospitalisations. SHI membership is fairly stable over time. Our data indicate marked differences in socio-demographic characteristics between SHIs. Hospital admission rates standardised for age vary between 0.164 and 0.229 per person year, which is in good agreement with official statistics (0.20). The age distribution shows good agreement for men and some underrepresentation for women above the age of 60 as compared to the general population.
Confounder information on medical conditions, concomitant medications and socio-demographic variables can be obtained from the database, while the assessment of confounders related to lifestyle requires supplementary data collection. The database allows for a population-based approach and reflects daily practice including off-label use of drugs. Independent recording of exposure and outcome data prevents reporting bias on medication or outcome. Legal conditions that allow continuous updating of the database need to be settled.
我们展示了一个新的基于人群的药物流行病学(PE)数据库,该数据库源自法定健康保险(SHIs),能够生成信号、监测处方药并描述药物使用情况。我们讨论了该数据库的方法学特征,并评估了该数据库在多大程度上反映了一般人群的基本人口统计学特征和住院率。
在一个可信的第三方中心,利用唯一的受试者识别号(ID),将三个SHIs的文件与一家药房电子数据处理中心的药物配给数据进行个体层面的关联。进行了合理性检查和描述性分析。
该数据库涵盖360万SHIs成员,提供药物使用数据和住院数据。SHIs成员资格随时间相当稳定。我们的数据表明,不同SHIs之间在社会人口统计学特征上存在显著差异。按年龄标准化的住院率在每人每年0.164至0.229之间,与官方统计数据(0.20)高度一致。年龄分布显示,男性与总体人群的年龄分布相符,而60岁以上女性的代表性略低于总体人群。
可以从该数据库中获取有关医疗状况、合并用药和社会人口统计学变量的混杂因素信息,而对与生活方式相关的混杂因素的评估需要补充数据收集。该数据库允许采用基于人群的方法,并反映日常实践,包括药物的超说明书使用。暴露和结局数据的独立记录可防止用药或结局报告偏倚。需要确定允许持续更新该数据库的法律条件。