Norwegian Institute of Public Health, Oslo, Norway.
Am J Infect Control. 2013 Jul;41(7):591-6. doi: 10.1016/j.ajic.2012.09.005. Epub 2013 Jan 11.
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%.
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.
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.
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.
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.
监测是预防医源性感染（HAI）系统的主要组成部分。这些监测系统向外科医生提供反馈信息，可使手术部位感染（SSI）率降低约 20%。
我们旨在描述挪威卫生保健相关性感染监测系统（NOIS）的手术部位感染（SSI）监测模块（NOIS-SSI），并评估 2005 年至 2009 年期间医院参与情况的完整性、自动数据采集的有效性以及出院后随访的增值作用。
NOIS 是在 2005 年通过法规引入的。医院参与情况通过遵守强制性要求和参与系统的自愿性方面来描述。通过报告说明性和管理变量的完整性评估自动数据采集的效果。通过出院后随访的完整性和出院后发现感染的比例评估主动出院后监测的影响。
该系统已实现 95%（52/55）的医院参与，其中 65%（34/52）的医院提交的数据超过了规定的最低要求。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。对患者进行 30 天随访的完整性为 90.7%（19,747/21,772），948 例感染中有 81%（765/948）是在出院后发现的。
通过医院参与、报告说明性和管理变量的完整性以及出院后随访的完整性评估了新的 SSI 监测系统的实施情况。重要的成功因素包括强制性系统、医院内自动数据采集系统和主动出院后监测。
