Betancourt Jose A, Hakre Shilpa, Polyak Christina S, Pavlin Julie A
Academy of Health Sciences, U.S. Army Medical Department Center & School, Fort Sam Houston, TX 78234, USA.
Mil Med. 2007 Apr;172(4):346-52. doi: 10.7205/milmed.172.4.346.
The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE), developed by the Department of Defense Global Emerging Infections System (DOD-GEIS), actively analyzes syndromic groupings from electronic International Classification of Diseases, Ninth Revision data as a proxy for early disease outbreak detection. This study compares International Classification of Diseases, 9th Revision, data and emergency room records from three hospitals to determine the accuracy of data in ESSENCE. Of 2474 records reviewed, inter-reviewer variability illustrated excellent consistency, ranging from 0.87 to 1.0. Gastrointestinal disease had the highest overall sensitivity (89.0%) and specificity (96.0%), likely due to less overlap with other groups, unlike the respiratory (sensitivity, 65.7%; specificity, 95.6%) and fever (sensitivity, 69.4%; specificity, 95.5%) groups, where symptoms of both are often seen in the same patient. This study concludes that data used by ESSENCE is accurate and reflects the types of patient visits to these facilities: valuable information for public health decision makers.
由美国国防部全球新兴感染系统（DOD - GEIS）开发的社区疫情早期预警电子监测系统（ESSENCE），积极分析来自国际疾病分类第九版电子数据中的症状群组，作为疾病早期爆发检测的替代指标。本研究比较了三家医院的国际疾病分类第九版数据和急诊室记录，以确定ESSENCE中数据的准确性。在审查的2474条记录中，审阅者间的变异性显示出极佳的一致性，范围从0.87到1.0。胃肠疾病的总体敏感性最高（89.0%），特异性也最高（96.0%），这可能是因为与其他组的重叠较少，不像呼吸组（敏感性65.7%；特异性95.6%）和发热组（敏感性69.4%；特异性95.5%），同一患者身上经常会同时出现这两组的症状。本研究得出结论，ESSENCE所使用的数据准确，反映了这些机构的患者就诊类型：这对公共卫生决策者来说是有价值的信息。
