Methodology of the Norwegian Surveillance System for Healthcare-Associated Infections: The value of a mandatory system, automated data collection, and active postdischarge surveillance
Methodology of the Norwegian Surveillance System for Healthcare-Associated Infections: The value of a mandatory system, automated data collection, and active postdischarge surveillance
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DOI：
10.1016/j.ajic.2012.09.005
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发表时间：
2013-07-01
影响因子：
4.9
通讯作者：
Skjeldestad, Finn Egil
中科院分区：
文献类型：
--
作者：
Lower, Hege Line;Eriksen, Hanne-Merete;Skjeldestad, Finn Egil
背景：监测是预防医疗保健相关感染 (HCAI) 系统的主要组成部分。这些监测系统向外科医生提供的反馈可将手术部位感染 (SSI) 率降低约 20%。 目的：我们的目的是描述挪威医疗保健相关感染监测系统 (NOIS) 的 SSI 模块 (NOIS-SSI)，并评估医院参与的完整性、自动数据收集的有效性以及 2005 年出院后随访的附加价值 2009 年。方法：NOIS 于 2005 年通过法规引入。医院参与是通过遵守系统的强制性要求和参与系统的自愿方面来描述的。自动数据收集是通过解释变量和管理变量报告的完整性来评估的。通过随访的完整性和出院后检测到的感染比例来评估主动出院后监测的影响。结果：该系统已实现 95% (52/55) 的医院参与，其中 65% (34/52) 的医院提交的数据多于最低要求。患者和手术相关背景数据的完整性令人满意，23.3% (5,079/21,772) 的记录至少有 1 个缺失值。患者 30 天随访的完整性为 90.7% (19,747/21,772)，出院后检测到 81% (765/948) 的感染。 结论：通过医院参与、解释性和管理变量报告的完整性以及出院后随访的完整性，成功评估了新的 SSI 监测系统的实施情况。重要的成功因素是强制性系统、医院的自动数据采集系统以及积极的出院后监测。版权所有 (C) 2013，感染控制和流行病学专业人士协会，Inc. 由 Elsevier Inc. 出版。保留所有权利。
Background: Surveillance is a primary component of systems for the prevention of health care-associated infections (HCAI). Feedback to surgeons from these surveillance systems may reduce rates of surgical site infections (SSIs) by approximately 20%.Objective: Our objective was to describe the Norwegian Surveillance System for Healthcare-Associated Infections' (NOIS) module for SSI (NOIS-SSI) and to evaluate the completeness of hospital participation, the effectiveness of automated data collection, and the added value of follow-up after hospital discharge during 2005 to 2009.Methods: NOIS was introduced by regulation in 2005. Hospital participation is described through adherence to the mandatory requirements and participation in the voluntary aspects of the system. Automated data collection is evaluated through the completeness of reporting of explanatory and administrative variables. The impact of active postdischarge surveillance is assessed through the completeness of follow-up and the proportion of infections detected after hospital discharge.Results: The system has achieved 95% (52/55) hospital participation, with 65% (34/52) of the hospitals submitting more data than the required minimum. The completeness of patient and procedure-related background data is satisfactory, with 23.3% (5,079/21,772) of the records having at least 1 missing value. The completeness of 30-day follow-up of patients is 90.7% (19,747/21,772), and 81% (765/948) of the infections were detected after discharge from hospital.Conclusion: Implementation of a new surveillance system for SSI has been successful evaluated through hospital participation, the completeness of reporting of explanatory and administrative variables, and the completeness of postdischarge follow-up. Important success factors are a mandatory system, automated data-harvesting systems in hospitals, and active postdischarge surveillance. Copyright (C) 2013 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.