Routine health insurance data for scientific research: potential and limitations of the Agis Health Database
Routine health insurance data for scientific research: potential and limitations of the Agis Health Database
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DOI：
10.1016/j.jclinepi.2010.04.023
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发表时间：
2011-04-01
影响因子：
7.2
通讯作者：
Hoes, Arno W.
中科院分区：
文献类型：
--
作者：
Smeets, Hugo M.;de Wit, Niek J.;Hoes, Arno W.
目的：在常规卫生保健数据库中进行的观察性研究具有规模大的优势，当目的是评估干预措施的效果时，可以完成通常来自实验情况的小样本的随机对照试验。机构健康保险数据库（HID）是有吸引力的研究，因为它们的规模大，纵向的角度来看，和他们的实践为基础的信息。由于他们是基于财务报销，信息一般是reliable.Study设计：在荷兰的主要保险公司之一，Agis健康数据库（AHD）的数据库，详细介绍。AHD数据集是否符合特定要求进行几种类型的临床研究进行了讨论，根据四种不同类型的临床研究的分类，即诊断，病因，预后和干预研究。AHD的潜力，这些不同类型的研究说明使用的例子，最近进行的研究在AHD.Conclusion：HIDS，如AHD提供了很大的潜力，几种类型的临床研究，特别是病因和干预研究，但目前缺乏详细的临床信息是一个重要的限制。(C)2011 Elsevier Inc. All rights reserved.
Objective: Observational studies performed within routine health care databases have the advantage of their large size and, when the aim is to assess the effect of interventions, can offer a completion to randomized controlled trials with usually small samples from experimental situations. Institutional Health Insurance Databases (HIDs) are attractive for research because of their large size, their longitudinal perspective, and their practice-based information. As they are based on financial reimbursement, the information is generally reliable.Study Design: The database of one of the major insurance companies in the Netherlands, the Agis Health Database (AHD), is described in detail. Whether the AHD data sets meet the specific requirements to conduct several types of clinical studies is discussed according to the classification of the four different types of clinical research; that is, diagnostic, etiologic, prognostic, and intervention research. The potential of the AHD for these various types of research is illustrated using examples of studies recently conducted in the AHD.Conclusion: HIDs such as the AHD offer large potential for several types of clinical research, in particular etiologic and intervention studies, but at present the lack of detailed clinical information is an important limitation. (C) 2011 Elsevier Inc. All rights reserved.