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国家医院感染监测系统:20世纪90年代及以后的计划。

The National Nosocomial Infections Surveillance System: plans for the 1990s and beyond.

作者信息

Gaynes R P, Culver D H, Emori T G, Horan T C, Banerjee S N, Edwards J R, Jarvis W R, Tolson J S, Henderson T S, Hughes J M

机构信息

Hospital Infections Program, Centers for Disease Control, Atlanta, Georgia 30333.

出版信息

Am J Med. 1991 Sep 16;91(3B):116S-120S. doi: 10.1016/0002-9343(91)90355-2.

Abstract

The National Nosocomial Infections Surveillance (NNIS) System is an ongoing collaborative surveillance system among the Centers for Disease Control (CDC) and United States hospitals to obtain national data on nosocomial infections. This system provides comparative data for hospitals and can be used to identify changes in infection sites, risk factors, and pathogens, and develop efficient surveillance methods. Data are collected prospectively using four surveillance components: hospital-wide, intensive care unit, high-risk nursery, and surgical patient. The limitations of NNIS data include the variability in case-finding methods, infrequency or unavailability of culturing, and lack of consistent methods for post-discharge surveillance. Future plans include more routine feedback of data, studies on the validity of NNIS data, new components, a NNIS consultant group, and more rapid data exchange with NNIS hospitals. Increasing the number of NNIS hospitals and cooperating with other agencies to exchange data may allow NNIS data to be used better for generating benchmark nosocomial infection rates. The NNIS system will continue to evolve as it seeks to find more effective and efficient ways to measure the nosocomial infection experience and assess the influence of patient risk, changes in the delivery of hospital care, and changes in infection control practices on these measures.

摘要

国家医院感染监测(NNIS)系统是美国疾病控制中心(CDC)与美国各医院之间正在开展的一项合作监测系统,旨在获取有关医院感染的全国性数据。该系统为医院提供对比数据,可用于识别感染部位、危险因素和病原体的变化,并开发有效的监测方法。数据通过四个监测部分前瞻性收集:全院范围、重症监护病房、高危新生儿病房和手术患者。NNIS数据的局限性包括病例发现方法的变异性、培养的频率低或无法进行培养,以及缺乏出院后监测的一致方法。未来计划包括更常规的数据反馈、对NNIS数据有效性的研究、新的组成部分、一个NNIS顾问小组,以及与NNIS医院更快速的数据交换。增加NNIS医院的数量并与其他机构合作进行数据交换,可能会使NNIS数据能更好地用于生成医院感染基准率。NNIS系统将继续发展,因为它试图找到更有效和高效的方法来衡量医院感染情况,并评估患者风险、医院护理提供方式的变化以及感染控制措施的变化对这些指标的影响。

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