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SCM: a practical tool to implement hospital-based syndromic surveillance
BACKGROUND: Syndromic surveillance has been widely used for the early warning of infectious disease outbreaks, especially in mass gatherings, but the collection of electronic data on symptoms in hospitals is one of the fundamental challenges that must be overcome during operating a syndromic surveil...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912801/ https://www.ncbi.nlm.nih.gov/pubmed/27317431 http://dx.doi.org/10.1186/s13104-016-2098-z |
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author | Ye, Chuchu Li, Zhongjie Fu, Yifei Lan, Yajia Zhu, Weiping Zhou, Dinglun Zhang, Honglong Lai, Shengjie Buckeridge, David L. Sun, Qiao Yang, Weizhong |
author_facet | Ye, Chuchu Li, Zhongjie Fu, Yifei Lan, Yajia Zhu, Weiping Zhou, Dinglun Zhang, Honglong Lai, Shengjie Buckeridge, David L. Sun, Qiao Yang, Weizhong |
author_sort | Ye, Chuchu |
collection | PubMed |
description | BACKGROUND: Syndromic surveillance has been widely used for the early warning of infectious disease outbreaks, especially in mass gatherings, but the collection of electronic data on symptoms in hospitals is one of the fundamental challenges that must be overcome during operating a syndromic surveillance system. The objective of our study is to describe and evaluate the implementation of a symptom-clicking-module (SCM) as a part of the enhanced hospital-based syndromic surveillance during the 41st World Exposition in Shanghai, China, 2010. METHODS: The SCM, including 25 targeted symptoms, was embedded in the sentinels’ Hospital Information Systems (HIS). The clinicians used SCM to record these information of all the visiting patients, and data were collated and transmitted automatically in daily batches. The symptoms were categorized into seven targeted syndromes using pre-defined criteria, and statistical algorithms were applied to detect temporal aberrations in the data series. RESULTS: SCM was deployed successfully in each sentinel hospital and was operated during the 184-day surveillance period. A total of 1,730,797 patient encounters were recorded by SCM, and 6.1 % (105,352 visits) met the criteria of the seven targeted syndromes. Acute respiratory and gastrointestinal syndromes were reported most frequently, accounted for 92.1 % of reports in all syndromes, and the aggregated time-series presented an obvious day-of-week variation over the study period. In total, 191 aberration signals were triggered, and none of them were identified as outbreaks after verification and field investigation. CONCLUSIONS: SCM has acted as a practical tool for recording symptoms in the hospital-based enhanced syndromic surveillance system during the 41st World Exposition in Shanghai, in the context of without a preexisting electronic tool to collect syndromic data in the HIS of the sentinel hospitals. |
format | Online Article Text |
id | pubmed-4912801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49128012016-06-19 SCM: a practical tool to implement hospital-based syndromic surveillance Ye, Chuchu Li, Zhongjie Fu, Yifei Lan, Yajia Zhu, Weiping Zhou, Dinglun Zhang, Honglong Lai, Shengjie Buckeridge, David L. Sun, Qiao Yang, Weizhong BMC Res Notes Research Article BACKGROUND: Syndromic surveillance has been widely used for the early warning of infectious disease outbreaks, especially in mass gatherings, but the collection of electronic data on symptoms in hospitals is one of the fundamental challenges that must be overcome during operating a syndromic surveillance system. The objective of our study is to describe and evaluate the implementation of a symptom-clicking-module (SCM) as a part of the enhanced hospital-based syndromic surveillance during the 41st World Exposition in Shanghai, China, 2010. METHODS: The SCM, including 25 targeted symptoms, was embedded in the sentinels’ Hospital Information Systems (HIS). The clinicians used SCM to record these information of all the visiting patients, and data were collated and transmitted automatically in daily batches. The symptoms were categorized into seven targeted syndromes using pre-defined criteria, and statistical algorithms were applied to detect temporal aberrations in the data series. RESULTS: SCM was deployed successfully in each sentinel hospital and was operated during the 184-day surveillance period. A total of 1,730,797 patient encounters were recorded by SCM, and 6.1 % (105,352 visits) met the criteria of the seven targeted syndromes. Acute respiratory and gastrointestinal syndromes were reported most frequently, accounted for 92.1 % of reports in all syndromes, and the aggregated time-series presented an obvious day-of-week variation over the study period. In total, 191 aberration signals were triggered, and none of them were identified as outbreaks after verification and field investigation. CONCLUSIONS: SCM has acted as a practical tool for recording symptoms in the hospital-based enhanced syndromic surveillance system during the 41st World Exposition in Shanghai, in the context of without a preexisting electronic tool to collect syndromic data in the HIS of the sentinel hospitals. BioMed Central 2016-06-18 /pmc/articles/PMC4912801/ /pubmed/27317431 http://dx.doi.org/10.1186/s13104-016-2098-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ye, Chuchu Li, Zhongjie Fu, Yifei Lan, Yajia Zhu, Weiping Zhou, Dinglun Zhang, Honglong Lai, Shengjie Buckeridge, David L. Sun, Qiao Yang, Weizhong SCM: a practical tool to implement hospital-based syndromic surveillance |
title | SCM: a practical tool to implement hospital-based syndromic surveillance |
title_full | SCM: a practical tool to implement hospital-based syndromic surveillance |
title_fullStr | SCM: a practical tool to implement hospital-based syndromic surveillance |
title_full_unstemmed | SCM: a practical tool to implement hospital-based syndromic surveillance |
title_short | SCM: a practical tool to implement hospital-based syndromic surveillance |
title_sort | scm: a practical tool to implement hospital-based syndromic surveillance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912801/ https://www.ncbi.nlm.nih.gov/pubmed/27317431 http://dx.doi.org/10.1186/s13104-016-2098-z |
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