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救护车数据在实时症状监测中的效用:英国西米德兰兹地区的一项试点研究

Utility of Ambulance Data for Real-Time Syndromic Surveillance: A Pilot in the West Midlands Region, United Kingdom.

作者信息

Todkill Dan, Loveridge Paul, Elliot Alex J, Morbey Roger A, Edeghere Obaghe, Rayment-Bishop Tracy, Rayment-Bishop Chris, Thornes John E, Smith Gillian

机构信息

1Public Health England,Field Epidemiology Training Programme Fellow,United Kingdom.

3Public Health England,Real-Time Syndromic Surveillance Team,National Infection Service,United Kingdom.

出版信息

Prehosp Disaster Med. 2017 Dec;32(6):667-672. doi: 10.1017/S1049023X17006690. Epub 2017 Aug 1.

Abstract

UNLABELLED

Introduction The Public Health England (PHE; United Kingdom) Real-Time Syndromic Surveillance Team (ReSST) currently operates four national syndromic surveillance systems, including an emergency department system. A system based on ambulance data might provide an additional measure of the "severe" end of the clinical disease spectrum. This report describes the findings and lessons learned from the development and preliminary assessment of a pilot syndromic surveillance system using ambulance data from the West Midlands (WM) region in England. Hypothesis/Problem Is an Ambulance Data Syndromic Surveillance System (ADSSS) feasible and of utility in enhancing the existing suite of PHE syndromic surveillance systems?

METHODS

An ADSSS was designed, implemented, and a pilot conducted from September 1, 2015 through March 1, 2016. Surveillance cases were defined as calls to the West Midlands Ambulance Service (WMAS) regarding patients who were assigned any of 11 specified chief presenting complaints (CPCs) during the pilot period. The WMAS collected anonymized data on cases and transferred the dataset daily to ReSST, which contained anonymized information on patients' demographics, partial postcode of patients' location, and CPC. The 11 CPCs covered a broad range of syndromes. The dataset was analyzed descriptively each week to determine trends and key epidemiological characteristics of patients, and an automated statistical algorithm was employed daily to detect higher than expected number of calls. A preliminary assessment was undertaken to assess the feasibility, utility (including quality of key indicators), and timeliness of the system for syndromic surveillance purposes. Lessons learned and challenges were identified and recorded during the design and implementation of the system.

RESULTS

The pilot ADSSS collected 207,331 records of individual ambulance calls (daily mean=1,133; range=923-1,350). The ADSSS was found to be timely in detecting seasonal changes in patterns of respiratory infections and increases in case numbers during seasonal events.

CONCLUSIONS

Further validation is necessary; however, the findings from the assessment of the pilot ADSSS suggest that selected, but not all, ambulance indicators appear to have some utility for syndromic surveillance purposes in England. There are certain challenges that need to be addressed when designing and implementing similar systems. Todkill D , Loveridge P , Elliot AJ , Morbey RA , Edeghere O , Rayment-Bishop T , Rayment-Bishop C , Thornes JE , Smith G . Utility of ambulance data for real-time syndromic surveillance: a pilot in the West Midlands region, United Kingdom. Prehosp Disaster Med. 2017;32(6):667-672.

摘要

未标注

引言 英国公共卫生署(PHE)实时症状监测团队(ReSST)目前运营着四个全国性症状监测系统,其中包括一个急诊科系统。基于救护车数据的系统可能会为临床疾病谱“严重”一端提供额外的衡量指标。本报告描述了利用英格兰西米德兰兹(WM)地区救护车数据开发和初步评估试点症状监测系统的结果及经验教训。假设/问题 救护车数据症状监测系统(ADSSS)在增强现有PHE症状监测系统组合方面是否可行且有用?

方法

设计并实施了一个ADSSS,并于2015年9月1日至2016年3月1日进行了试点。监测病例定义为在试点期间拨打西米德兰兹救护车服务(WMAS)的电话,这些电话涉及被分配11种指定主要就诊主诉(CPC)中的任何一种的患者。WMAS收集了病例的匿名数据,并每天将数据集传输给ReSST,该数据集包含患者人口统计学、患者位置的部分邮政编码和CPC的匿名信息。这11种CPC涵盖了广泛的综合征。每周对数据集进行描述性分析,以确定患者的趋势和关键流行病学特征,并每天使用自动统计算法检测高于预期的电话数量。进行了初步评估,以评估该系统用于症状监测目的的可行性、实用性(包括关键指标的质量)和及时性。在系统的设计和实施过程中识别并记录了经验教训和挑战。

结果

试点ADSSS收集了207,331条个别救护车呼叫记录(日均=1,133;范围=923 - 1,350)。发现ADSSS能够及时检测到呼吸道感染模式的季节性变化以及季节性事件期间病例数的增加。

结论

需要进一步验证;然而,试点ADSSS评估的结果表明,部分(而非全部)选定的救护车指标似乎对英格兰的症状监测目的有一定用处。在设计和实施类似系统时存在一些需要解决的挑战。托德kill D、洛夫里奇P、埃利奥特AJ、莫尔贝RA、埃德盖尔O、雷门特 - Bishop T、雷门特 - Bishop C、索恩斯JE、史密斯G。救护车数据用于实时症状监测的效用:英国西米德兰兹地区的一项试点。院前灾难医学。2017;32(6):667 - 672。

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