ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2020
The experience of point-of-care testing for influenza in Scotland in 2017/18 and 2018/19 - no gain without pain.
Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Applying the Moving Epidemic Method to Emergency Department Syndromic Surveillance to identify the Start of Influenza Seasons in New South Wales, Australia.Influenza and other respiratory viruses · 2026Article
- Rapid influenza molecular testing in secondary care and influenza surveillance in England: Any impact?Influenza and other respiratory viruses · 2022Article
- The cat is out of the bag - point-of-care testing (POCT) is here to stay.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020Article
- Do point-of-care tests (POCTs) offer a new paradigm for the management of patients with influenza?Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
BackgroundDuring the 2017/18 and 2018/19 influenza seasons, molecular amplification-based point-of-care tests (mPOCT) were introduced in Scotland to aid triaging respiratory patients for hospital admission, yet communication of results to national surveillance was unaccounted for.AimThis retrospective study aims to describe steps taken to capture mPOCT data and assess impact on influenza surveillance.MethodsQuestionnaires determined mPOCT usage in 2017/18 and 2018/19. Searches of the Electronic Communication of Surveillance in Scotland (ECOSS) database were performed and compared with information stored in laboratory information management systems. Effect of incomplete data on surveillance was determined by comparing routine against enhanced data and assessing changes in influenza activity levels determined by the moving epidemic method.ResultsThe number of areas employing mPOCT increased over the two seasons (6/14 in 2017/18 and 8/14 in 2018/19). Analysis of a small number of areas (n = 3) showed capture of positive mPOCT results in ECOSS improved between seasons and remained high (> 94%). However, capture of negative results was incomplete. Despite small discrepancies in weekly activity assessments, routine data were able to identify trend, start, peak and end of both influenza seasons.ConclusionThis study has shown an improvement in capture of data from influenza mPOCT and has highlighted issues that need to be addressed for results to be accurately captured in national surveillance. With the clear benefit to patient management we suggest careful consideration should be given to the connectivity aspects of the technology in order to ensure minimal impact on national surveillance.
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