Comprehensive Evaluation of Healthcare Associated Infection Surveillance System

Research in health science Pub Date : 2023-11-29 DOI:10.22158/rhs.v8n4p66

Yang Zhou, Genlin Yang, Ping Shao, Yan Cui

引用次数: 0

Abstract

Background & objectives: The electronic surveillance system has been applied in healthcare associated infection surveillance. We conducted an evaluation of the real-time healthcare associated infection surveillance system (RT-HAISS) to understand the early warning effect. Methods: We evaluated our RT-HAISS on a dataset of 29074 patients at the Wuxi traditional Chinese medicine (TCM) hospital in 2020, encompassing sensitivity, specificity, positive predictive value, negative predictive value, Youden index and false alarm rate.Results: 466 HAIs were confirmed in this hospital in 2020, The RT-HAISS warned the monitors a total of 1715 cases, with 2040 early warning entries and 1736 false alarm entries. The sensitivity and the specificity were 65.24% and 95.74%, respectively. The Youden index was 0.62. In addition, the positive predictive value was 14.90%, and the negative predictive value was 83.86%, with 85.10% of false alarm rate.Conclusion: The RT-HAISS is an important technical mean for healthcare associated infection surveillance, it’s necessary to further explore the improvement of real-time surveillance system.

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全面评估医疗保健相关感染监测系统

背景与目标：电子监控系统已被应用于医疗相关感染监控。我们对实时医疗相关感染监控系统（RT-HAISS）进行了评估，以了解其预警效果。评估方法我们对 2020 年无锡市中医院 29074 名患者的数据集进行了 RT-HAISS 评估，包括灵敏度、特异性、阳性预测值、阴性预测值、尤登指数和误报率：2020 年，该医院共确诊 466 例 HAI，RT-HAISS 共预警 1715 例，其中预警 2040 例，误报 1736 例。灵敏度和特异度分别为 65.24% 和 95.74%。尤登指数为 0.62。此外，阳性预测值为 14.90%，阴性预测值为 83.86%，误报率为 85.10%：RT-HAISS是医疗相关感染监测的重要技术手段，有必要进一步探索完善实时监测系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research in health science

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