Suppr超能文献

建立美国国家慢性肾脏病监测系统。

Establishing a national chronic kidney disease surveillance system for the United States.

机构信息

Division of Nephrology, Department of Internal Medicine, University of Michigan, and the Kidney Epidemiology and Cost Center, 315 West Huron, Suite 240, Ann Arbor, MI 48103-4262, USA.

出版信息

Clin J Am Soc Nephrol. 2010 Jan;5(1):152-61. doi: 10.2215/CJN.05480809. Epub 2009 Dec 3.

Abstract

Despite the recognized importance of chronic kidney disease (CKD), the United States currently lacks a comprehensive, systematic surveillance program that captures and tracks all aspects of CKD in the population. As part of its CKD Initiative, the Centers for Disease Control and Prevention (CDC) funded two teams to jointly initiate the development of a CKD surveillance system. Here, we describe the process and methods used to establish this national CDC CKD Surveillance System. The major CKD components covered include burden (incidence and prevalence), risk factors, awareness, health consequences, processes and quality of care, and health system capacity issues. Goals include regular reporting of the data collected, plus development of a dynamic project web site and periodic issuance of a CKD fact sheet. We anticipate that this system will provide an important foundation for widespread efforts toward primary prevention, earlier detection, and implementation of optimal disease management strategies, with resultant increased awareness of CKD, decreased rates of CKD progression, lowered mortality, and reduced resource utilization. Final success will be measured by usage, impact, and endorsement.

摘要

尽管慢性肾脏病 (CKD) 的重要性已得到公认,但美国目前缺乏一个全面、系统的监测计划,无法全面捕捉和跟踪人群中 CKD 的所有方面。作为其 CKD 计划的一部分,疾病预防控制中心 (CDC) 资助了两个团队,共同启动了 CKD 监测系统的开发。在这里,我们描述了建立这个国家 CDC CKD 监测系统所使用的过程和方法。涵盖的主要 CKD 组成部分包括负担(发病率和患病率)、危险因素、意识、健康后果、护理过程和质量以及卫生系统能力问题。目标包括定期报告所收集的数据,以及开发一个动态的项目网站和定期发布 CKD 情况说明书。我们预计,该系统将为广泛开展一级预防、早期发现和实施最佳疾病管理策略提供重要基础,从而提高对 CKD 的认识,降低 CKD 进展率,降低死亡率,并减少资源利用。最终的成功将通过使用情况、影响和认可来衡量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验