苏格兰2017/18和2018/19年流感即时检测的经验——没有痛苦就没有收获。

IF 7.8
Elizabeth M Dickson, Diogo Fp Marques, Sandra Currie, Annette Little, Kirsty Mangin, Michael Coyne, Arlene Reynolds, Jim McMenamin, David Yirrell
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引用次数: 4

摘要

背景:在2017/18和2018/19流感季节,苏格兰引入了基于分子扩增的护理点检测(mPOCT),以帮助对呼吸道患者进行住院分诊,但未将结果传达给国家监测机构。目的本回顾性研究旨在描述为获取mPOCT数据和评估对流感监测的影响而采取的步骤。方法调查2017/18和2018/19年度mPOCT的使用情况。对苏格兰电子监控通信(ECOSS)数据库进行了搜索,并与实验室信息管理系统中存储的信息进行了比较。通过比较常规数据和增强数据,并评估移动流行病法确定的流感活动水平的变化,确定不完整数据对监测的影响。结果采用mPOCT的地区数量在两个季节(2017/18年6月14日和2018/19年8月14日)有所增加。对少数地区(n = 3)的分析显示,ECOSS的mPOCT阳性结果在不同季节之间有所改善,并保持在较高水平(> 94%)。然而,对阴性结果的捕捉是不完整的。尽管每周活动评估存在微小差异,但常规数据能够确定两个流感季节的趋势、开始、高峰和结束。结论:本研究表明,流感mPOCT数据采集工作有所改善,并强调了在国家监测中准确采集结果需要解决的问题。由于对患者管理有明显的好处,我们建议应仔细考虑该技术的连接方面,以确保对国家监测的影响最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The experience of point-of-care testing for influenza in Scotland in 2017/18 and 2018/19 - no gain without pain.

The experience of point-of-care testing for influenza in Scotland in 2017/18 and 2018/19 - no gain without pain.

The experience of point-of-care testing for influenza in Scotland in 2017/18 and 2018/19 - no gain without pain.

BackgroundDuring the 2017/18 and 2018/19 influenza seasons, molecular amplification-based point-of-care tests (mPOCT) were introduced in Scotland to aid triaging respiratory patients for hospital admission, yet communication of results to national surveillance was unaccounted for.AimThis retrospective study aims to describe steps taken to capture mPOCT data and assess impact on influenza surveillance.MethodsQuestionnaires determined mPOCT usage in 2017/18 and 2018/19. Searches of the Electronic Communication of Surveillance in Scotland (ECOSS) database were performed and compared with information stored in laboratory information management systems. Effect of incomplete data on surveillance was determined by comparing routine against enhanced data and assessing changes in influenza activity levels determined by the moving epidemic method.ResultsThe number of areas employing mPOCT increased over the two seasons (6/14 in 2017/18 and 8/14 in 2018/19). Analysis of a small number of areas (n = 3) showed capture of positive mPOCT results in ECOSS improved between seasons and remained high (> 94%). However, capture of negative results was incomplete. Despite small discrepancies in weekly activity assessments, routine data were able to identify trend, start, peak and end of both influenza seasons.ConclusionThis study has shown an improvement in capture of data from influenza mPOCT and has highlighted issues that need to be addressed for results to be accurately captured in national surveillance. With the clear benefit to patient management we suggest careful consideration should be given to the connectivity aspects of the technology in order to ensure minimal impact on national surveillance.

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