Emergency department syndromic surveillance systems: a systematic review

被引:17
|
作者
Hughes, Helen E. [1 ,2 ]
Edeghere, Obaghe [1 ,3 ]
O'Brien, Sarah J. [4 ]
Vivancos, Roberto [5 ]
Elliot, Alex J. [1 ]
机构
[1] Publ Hlth England, Field Serv, Natl Infect Serv, Real Time Syndr Surveillance Team, Birmingham, W Midlands, England
[2] Univ Liverpool, Farr Inst HeRC, Liverpool, Merseyside, England
[3] Publ Hlth England, Field Serv, Natl Infect Serv, Field Epidemiol West Midlands, Birmingham, W Midlands, England
[4] Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne, Tyne & Wear, England
[5] Publ Hlth England, Field Serv, Natl Infect Serv, Field Epidemiol North West, Liverpool, Merseyside, England
关键词
Syndromic surveillance; Emergency department; Public health; Acute illness; Emergency room; Accident and emergency; Real-time surveillance; Outbreak; Terrorism; Natural disaster; INFLUENZA-LIKE ILLNESS; EARLY NOTIFICATION; OUTBREAK; IMPACT; IMPLEMENTATION; COVID-19; DISEASES; RECORDS; UTILITY; PREDICT;
D O I
10.1186/s12889-020-09949-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundSyndromic surveillance provides public health intelligence to aid in early warning and monitoring of public health impacts (e.g. seasonal influenza), or reassurance when an impact has not occurred. Using information collected during routine patient care, syndromic surveillance can be based on signs/symptoms/preliminary diagnoses. This approach makes syndromic surveillance much timelier than surveillance requiring laboratory confirmed diagnoses.The provision of healthcare services and patient access to them varies globally. However, emergency departments (EDs) exist worldwide, providing unscheduled urgent care to people in acute need. This provision of care makes ED syndromic surveillance (EDSyS) a potentially valuable tool for public health surveillance internationally.The objective of this study was to identify and describe the key characteristics of EDSyS systems that have been established and used globally.MethodsWe systematically reviewed studies published in peer review journals and presented at International Society of Infectious Disease Surveillance conferences (up to and including 2017) to identify EDSyS systems which have been created and used for public health purposes. Search criteria developed to identify "emergency department" and "syndromic surveillance" were applied to NICE healthcare, Global Health and Scopus databases.ResultsIn total, 559 studies were identified as eligible for inclusion in the review, comprising 136 journal articles and 423 conference abstracts/papers. From these studies we identified 115 EDSyS systems in 15 different countries/territories across North America, Europe, Asia and Australasia. Systems ranged from local surveillance based on a single ED, to comprehensive national systems. National EDSyS systems were identified in 8 countries/territories: 2 reported inclusion of >= 85% of ED visits nationally (France and Taiwan).ConclusionsEDSyS provides a valuable tool for the identification and monitoring of trends in severe illness. Technological advances, particularly in the emergency care patient record, have enabled the evolution of EDSyS over time. EDSyS reporting has become closer to 'real-time', with automated, secure electronic extraction and analysis possible on a daily, or more frequent basis.The dissemination of methods employed and evidence of successful application to public health practice should be encouraged to support learning from best practice, enabling future improvement, harmonisation and collaboration between systems in future.Prospero numberCRD42017069150.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] The effectiveness of syndromic surveillance for the early detection of waterborne outbreaks: a systematic review
    Susanne Hyllestad
    Ettore Amato
    Karin Nygård
    Line Vold
    Preben Aavitsland
    BMC Infectious Diseases, 21
  • [42] The effectiveness of syndromic surveillance for the early detection of waterborne outbreaks: a systematic review
    Hyllestad, Susanne
    Amato, Ettore
    Nygard, Karin
    Vold, Line
    Aavitsland, Preben
    BMC INFECTIOUS DISEASES, 2021, 21 (01)
  • [43] Non-Emergency Department Interventions to Reduce Emergency Department Utilization: A Systematic Review
    Alqatari, M.
    Morgan, S. R.
    Chang, A.
    Pines, J. M.
    ANNALS OF EMERGENCY MEDICINE, 2012, 60 (04) : S155 - S155
  • [44] Syndromic Surveillance of Emergency Department Visits Related to Unintentional Drowning, United States, 2019-2022
    Moreland, Briana
    Clemens, Tessa
    Idaikkadar, Nimi
    PUBLIC HEALTH REPORTS, 2024, 139 (06) : 717 - 723
  • [45] The Frontlines of Medicine Project Progress Report: Standardized communication of emergency department triage data for syndromic surveillance
    Barthell, EN
    Aronsky, D
    Cochrane, DG
    Cable, G
    Stair, T
    ANNALS OF EMERGENCY MEDICINE, 2004, 44 (03) : 247 - 252
  • [46] Using emergency department syndromic surveillance to investigate the impact of a national vaccination program: A retrospective observational study
    Hughes, Helen E.
    Elliot, Alex J.
    Hughes, Thomas C.
    Hungerford, Daniel
    Morbey, Roger A.
    Smith, Gillian E.
    Vivancos, Roberto
    O'Brien, Sarah J.
    PLOS ONE, 2020, 15 (10):
  • [47] Syndromic Surveillance of Mental and Substance Use Disorders: A Validation Study Using Emergency Department Chief Complaints
    Goldman-Mellor, Sidra
    Jia, Yusheng
    Kwan, Kevin
    Rutledge, Jared
    PSYCHIATRIC SERVICES, 2018, 69 (01) : 55 - 60
  • [48] Differences and similarities between emergency department syndromic surveillance and hospital discharge data for nonfatal drug overdose
    Vivolo-Kantor, Alana M.
    Smith, Herschel
    Scholl, Lawrence
    ANNALS OF EPIDEMIOLOGY, 2021, 62 : 43 - 50
  • [49] Leveraging Syndromic Surveillance Data to Create Emergency Department COVID19 Data Visualization Tool
    Nilz, M.
    Schneider, S.
    Sharma, D.
    ANNALS OF EMERGENCY MEDICINE, 2022, 80 (04) : S78 - S79
  • [50] Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016
    Lall, Ramona
    Abdelnabi, Jasmine
    Ngai, Stephanie
    Parton, Hilary B.
    Saunders, Kelly
    Sell, Jessica
    Wahnich, Amanda
    Weiss, Don
    Mathes, Robert W.
    PUBLIC HEALTH REPORTS, 2017, 132 : 23S - 30S