Palmaro Aurore, Moulis Guillaume, Despas Fabien, Dupouy Julie, Lapeyre-Mestre Maryse
Medical and Clinical Pharmacology Unit, CHU Toulouse University Hospital, 37, Allées Jules Guesde, 31000, Toulouse, France.
Pharmacoepidemiology Research Unit, INSERM 1027, University of Toulouse, 37, Allées Jules Guesde, 31000, Toulouse, France.
Fundam Clin Pharmacol. 2016 Dec;30(6):616-624. doi: 10.1111/fcp.12214. Epub 2016 Jul 13.
In this study, we aimed to provide an updated overview of drug data contained in the French health insurance database (SNIIRAM) and its associated national representative sample (EGB). This study identified most common problems concerning drug data: (i) change in level of coverage of drugs of interest (drug no more eligible for reimbursement or no more prescription-only), (ii) break in patients' eligibility (in connection with change of healthcare plan or patients' identifier), and (iii) technical and regulatory issues. We provide a brief checklist to enable a structured identification of these issues. The impact of gap in drug data availability on study validity will depend on the research question, drug, setting, and population of interest. The French health insurance database and associated sample are valuable resources for pharmacoepidemiological research. There is a need to pursue further methodological and validation studies to promote accurate and transparent use of French health insurance databases for pharmacoepidemiology.
在本研究中,我们旨在提供法国健康保险数据库(SNIIRAM)及其相关国家代表性样本(EGB)中所含药物数据的最新概述。本研究确定了有关药物数据的最常见问题:(i)感兴趣药物的覆盖水平变化(药物不再符合报销条件或不再仅需处方),(ii)患者资格中断(与医疗保健计划或患者标识符的变化有关),以及(iii)技术和监管问题。我们提供了一份简要清单,以便对这些问题进行结构化识别。药物数据可用性差距对研究有效性的影响将取决于研究问题、药物、环境和感兴趣的人群。法国健康保险数据库及相关样本是药物流行病学研究的宝贵资源。有必要开展进一步的方法学和验证研究,以促进准确、透明地使用法国健康保险数据库进行药物流行病学研究。