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Methodology of the Norwegian Surveillance System for Healthcare-Associated Infections: The value of a mandatory system, automated data collection, and active postdischarge surveillance

机译:挪威医疗相关感染监视系统的方法论:强制系统,自动数据收集和主动出院后监视的价值

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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.
机译:背景:监视是预防与卫生保健相关的感染(HCAI)的系统的主要组成部分。这些监视系统向外科医生的反馈可以使手术部位感染率(SSI)降低约20%。目的:我们的目的是描述挪威医疗相关感染监测系统(SSI)的NOIS(NOIS-SSI)模块,并评估医院参与的完整性,自动化数据收集的有效性以及后续附加价值-2005年至2009年出院后的随访。方法:NOIS在2005年通过法规引入。医院的参与通过遵守强制性要求和参与系统的自愿方面来描述。通过解释性和管理性变量的报告完整性来评估自动数据收集。通过随访的完整性和出院后发现的感染比例评估主动出院后监视的影响。结果:该系统已达到95%(52/55)的医院参与率,其中65%(34/52)的医院提交的数据超出了所需的最低要求。患者和与手术相关的背景数据的完整性令人满意,其中23.3%(5,079 / 21,772)的记录至少有1个缺失值。对患者进行30天随访的完成率为90.7%(19,747 / 21,772),出院后发现感染的81%(765/948)。结论:通过医院参与,解释性和管理性变量报告的完整性以及出院后随访的完整性,已成功评估了SSI新型监视系统的实施情况。成功的重要因素是强制性系统,医院中的自动数据收集系统以及主动出院后监视。

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