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Development of processes allowing near real-time refinement and validation of triage tools during the early stage of an outbreak in readiness for surge: the FLU-CATs Study |
Venkatesan S, Myles PR, McCann G, Kousoulis AA, Hashmi M, Belatri R, Boyle E, Barcroft A, Tjeerd PS, Kirkham JJ, Nguyen Van Tam JS, Williams TJ, Semple MG |
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Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation Venkatesan S, Myles PR, McCann G, Kousoulis AA, Hashmi M, Belatri R, Boyle E, Barcroft A, Tjeerd PS, Kirkham JJ, Nguyen Van Tam JS, Williams TJ, Semple MG. Development of processes allowing near real-time refinement and validation of triage tools during the early stage of an outbreak in readiness for surge: the FLU-CATs Study. Health Technology Assessment 2015; 19(89) Authors' objectives During pandemics of novel influenza and outbreaks of emerging infections, surge in health-care demand can exceed capacity to provide normal standards of care. In such exceptional circumstances, triage tools may aid decisions in identifying people who are most likely to benefit from higher levels of care. Rapid research during the early phase of an outbreak should allow refinement and validation of triage tools so that in the event of surge a valid tool is available. The overarching study aim is to conduct a prospective near real-time analysis of structured clinical assessments of influenza-like illness (ILI) using primary care electronic health records (EHRs) during a pandemic. This abstract summarises the preparatory work, infrastructure development, user testing and proof-of-concept study.
(1) In preparation for conducting rapid research in the early phase of a future outbreak, to develop processes that allow near real-time analysis of general practitioner (GP) assessments of people presenting with ILI, management decisions and patient outcomes. (2) As proof of concept: conduct a pilot study evaluating the performance of the triage tools 'Community Assessment Tools' and 'Pandemic Medical Early Warning Score' to predict hospital admission and death in patients presenting with ILI to GPs during inter-pandemic winter seasons. Authors' conclusions We have developed processes that allow capture and near real-time automated analysis of GP's clinical assessments and management decisions of people presenting with ILI. Indexing Status Subject indexing assigned by CRD MeSH Disease Outbreaks; Humans; Influenza, Human; Triage Language Published English Country of organisation England English summary An English language summary is available. Address for correspondence NETSCC, Health Technology Assessment, Alpha House, University of Southampton Science Park, Southampton, SO16 7NS UK Tel: +44 23 8059 5586 Email: hta@hta.ac.uk AccessionNumber 32015001106 Date abstract record published 03/11/2015 |
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