Health claims databases used for kidney research around the world

Author:

van Oosten Manon J M1,Logtenberg Susan J J2,Edens Mireille A3,Hemmelder Marc H45,Jager Kitty J1,Bilo Henk J G367,Stel Vianda S1

Affiliation:

1. Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands

2. Department of Internal Medicine, Diakonessenhuis, Utrecht, The Netherlands

3. Diabetes Research Center and Department of Epidemiology and Statistics, Isala Hospital, Zwolle, The Netherlands

4. Dutch Renal Registry (Renine), Nefrovisie Foundation, Utrecht, The Netherlands

5. Department of Internal Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands

6. Department of Internal Medicine, University Medical Center, Groningen, The Netherlands

7. Faculty of Medicine, Groningen University, Groningen, The Netherlands

Abstract

Abstract Health claims databases offer opportunities for studies on large populations of patients with kidney disease and health outcomes in a non-experimental setting. Among others, their unique features enable studies on healthcare costs or on longitudinal, epidemiological data with nationwide coverage. However, health claims databases also have several limitations. Because clinical data and information on renal function are often lacking, the identification of patients with kidney disease depends on the actual presence of diagnosis codes only. Investigating the validity of these data is therefore crucial to assess whether outcomes derived from health claims data are truly meaningful. Also, one should take into account the coverage and content of a health claims database, especially when making international comparisons. In this article, an overview is provided of international health claims databases and their main publications in the area of nephrology. The structure and contents of the Dutch health claims database will be described, as well as an initiative to use the outcomes for research and the development of the Dutch Kidney Atlas. Finally, we will discuss to what extent one might be able to identify patients with kidney disease using health claims databases, as well as their strengths and limitations.

Funder

Dutch Kidney Foundation

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3