Literature DB >> 28760171

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

Dan Todkill1, Paul Loveridge2, Alex J Elliot2, Roger A Morbey2, Obaghe Edeghere3, Tracy Rayment-Bishop4, Chris Rayment-Bishop4, John E Thornes5, Gillian Smith2.   

Abstract

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.

Entities:  

Keywords:  ADSSS Ambulance Data Syndromic Surveillance System; CPC chief presenting complaint; ED emergency department; Indicator Emphasis; Mixed Effects; Multi-Level; NHS National Health Service; PHE Public Health England; RAMMIE Rising Activity; RSV respiratory syncytial virus; ReSST Real-Time Syndromic Surveillance Team; WM West Midlands; WMAS West Midlands Ambulance Service; ambulance; surveillance; syndromic surveillance

Mesh:

Year:  2017        PMID: 28760171     DOI: 10.1017/S1049023X17006690

Source DB:  PubMed          Journal:  Prehosp Disaster Med        ISSN: 1049-023X            Impact factor:   2.040


  6 in total

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4.  The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England.

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Journal:  Int J Environ Res Public Health       Date:  2022-03-24       Impact factor: 3.390

5.  Development and assessment of a hospital admissions-based syndromic surveillance system for COVID-19 in Ontario, Canada: ACES Pandemic Tracker.

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6.  Ambulance dispatch calls attributable to influenza A and other common respiratory viruses in the Netherlands (2014-2016).

Authors:  Susana Monge; Janneke Duijster; Geert Jan Kommer; Jan van de Kassteele; Thomas Krafft; Paul Engelen; Jens P Valk; Jan de Waard; Jan de Nooij; Annelies Riezebos-Brilman; Wim van der Hoek; Liselotte van Asten
Journal:  Influenza Other Respir Viruses       Date:  2020-05-14       Impact factor: 4.380

  6 in total

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