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利用监测和风险因素数据降低医院感染率的科学依据。

The scientific basis for using surveillance and risk factor data to reduce nosocomial infection rates.

作者信息

Haley R W

机构信息

Department of Internal Medicine, University of Texas Southwestern Medical Centre at Dallas 75235-8874, USA.

出版信息

J Hosp Infect. 1995 Jun;30 Suppl:3-14. doi: 10.1016/0195-6701(95)90001-2.

Abstract

Research over the past 20 years has demonstrated that an active programme of surveillance with feedback of surgical wound infection rates to surgeons can reduce subsequent rates by 30-40%. For surveillance data and feedback to be meaningful and influential, however, certain rigorous methodological principles must be observed. First, surveillance data must be collected in an accurate, efficient and confidential manner. This requires written definitions of infection, regular clinical case-finding, post-discharge follow up for short-staying patients, and computer storage, analysis and reporting of the data in coded form that does not publicly identify individuals. Second, the variation in intrinsic risk of the patients of the various surgeons must be controlled for by stratifying the final infection rates on a multivariate risk index, which combines the traditional classes of wound contamination with measures of intrinsic patient susceptibility. This can be accomplished with a relatively small commitment of time by the Infection Control Nurse with the aid of sophisticated computer software that is now available.

摘要

过去20年的研究表明,实施一项积极的监测计划,并将手术伤口感染率反馈给外科医生,可使后续感染率降低30%至40%。然而,要使监测数据和反馈有意义且具影响力,必须遵循某些严格的方法学原则。首先,必须以准确、高效且保密的方式收集监测数据。这需要对感染进行书面定义、定期进行临床病例排查、对短期住院患者进行出院后随访,以及以编码形式对数据进行计算机存储、分析和报告,且编码形式不会公开识别个人身份。其次,必须通过对最终感染率按多变量风险指数进行分层,来控制不同外科医生所治疗患者的内在风险差异,该指数将传统的伤口污染类别与患者内在易感性指标相结合。借助现有的先进计算机软件,感染控制护士只需投入相对较少的时间就能完成此项工作。

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