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Surveillance Open Access
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Abstract

Background

During 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.

Aim

This retrospective study aims to describe steps taken to capture mPOCT data and assess impact on influenza surveillance.

Methods

Questionnaires 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.

Results

The 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.

Conclusion

This 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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/content/10.2807/1560-7917.ES.2020.25.44.1900419
2020-11-05
2024-11-22
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2020.25.44.1900419
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References

  1. Public Health England (PHE). Point of care tests for influenza and other respiratory viruses. London: PHE; 2018. Available from: https://www.gov.uk/government/publications/point-of-care-tests-for-influenza-and-other-respiratory-viruses
  2. Maignan M, Viglino D, Hablot M, Termoz Masson N, Lebeugle A, Collomb Muret R, et al. Diagnostic accuracy of a rapid RT-PCR assay for point-of-care detection of influenza A/B virus at emergency department admission: A prospective evaluation during the 2017/2018 influenza season. PLoS One. 2019;14(5):e0216308.  https://doi.org/10.1371/journal.pone.0216308  PMID: 31063477 
  3. Youngs J, Marshall B, Farragher M, Whitney L, Glass S, Pope C, et al. Implementation of influenza point-of-care testing and patient cohorting during a high-incidence season: a retrospective analysis of impact on infection prevention and control and clinical outcomes. J Hosp Infect. 2019;101(3):276-84.  https://doi.org/10.1016/j.jhin.2018.11.010  PMID: 30471317 
  4. Lankelma JM, Hermans MHA, Hazenberg EHLCM, Macken T, Dautzenberg PLJ, Koeijvoets KCMC, et al. Implementation of point-of-care testing and a temporary influenza ward in a Dutch hospital. Neth J Med. 2019;77(3):109-15. PMID: 31012428 
  5. Brendish NJ, Malachira AK, Clark TW. Molecular point-of-care testing for respiratory viruses versus routine clinical care in adults with acute respiratory illness presenting to secondary care: a pragmatic randomised controlled trial protocol (ResPOC). BMC Infect Dis. 2017;17(1):128.  https://doi.org/10.1186/s12879-017-2219-x  PMID: 28166743 
  6. Rogan DT, Kochar MS, Yang S, Quinn JV. Impact of Rapid Molecular Respiratory Virus Testing on Real-Time Decision Making in a Pediatric Emergency Department. J Mol Diagn. 2017;19(3):460-7.  https://doi.org/10.1016/j.jmoldx.2017.01.009  PMID: 28341587 
  7. Brotons P, Nogueras M-M, Valls A, Larrauri A, Dominguez A, Launes C, et al. Impact of Rapid On-demand Molecular Diagnosis of Pediatric Seasonal Influenza on Laboratory Workflow and Testing Costs: A Retrospective Study. Pediatr Infect Dis J. 2019;38(6):559-63.  https://doi.org/10.1097/INF.0000000000002224  PMID: 31117115 
  8. You JHS, Tam LP, Lee NLS. Cost-effectiveness of molecular point-of-care testing for influenza viruses in elderly patients at ambulatory care setting. PLoS One. 2017;12(7):e0182091.  https://doi.org/10.1371/journal.pone.0182091  PMID: 28750092 
  9. Klepser DG, Klepser ME, Smith JK, Dering-Anderson AM, Nelson M, Pohren LE. Utilization of influenza and streptococcal pharyngitis point-of-care testing in the community pharmacy practice setting. Res Social Adm Pharm. 2018;14(4):356-9.  https://doi.org/10.1016/j.sapharm.2017.04.012  PMID: 28479019 
  10. Rakocevic B, Grgurevic A, Trajkovic G, Mugosa B, Sipetic Grujicic S, Medenica S, et al. Influenza surveillance: determining the epidemic threshold for influenza by using the Moving Epidemic Method (MEM), Montenegro, 2010/11 to 2017/18 influenza seasons. Euro Surveill. 2019;24(12):1800042.  https://doi.org/10.2807/1560-7917.ES.2019.24.12.1800042  PMID: 30914080 
  11. Green HK, Charlett A, Moran-Gilad J, Fleming D, Durnall H, Thomas DR, et al. Harmonizing influenza primary-care surveillance in the United Kingdom: piloting two methods to assess the timing and intensity of the seasonal epidemic across several general practice-based surveillance schemes. Epidemiol Infect. 2015;143(1):1-12.  https://doi.org/10.1017/S0950268814001757  PMID: 25023603 
  12. Health Protection Scotland (HPS). SBAR: Joint SMVN/SHPN public health microbiology advisory. Statement for influenza point of care tests. Glasgow: HPS; 21 Nov 2018. Available from: https://www.hps.scot.nhs.uk/web-resources-container/sbar-joint-smvnshpn-public-health-microbiology-advisory-statement-for-influenza-point-of-care-tests/
  13. Vega T, Lozano JE, Meerhoff T, Snacken R, Mott J, Ortiz de Lejarazu R, et al. Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method. Influenza Other Respir Viruses. 2013;7(4):546-58.  https://doi.org/10.1111/j.1750-2659.2012.00422.x  PMID: 22897919 
  14. Vega T, Lozano JE, Meerhoff T, Snacken R, Beauté J, Jorgensen P, et al. Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Influenza Other Respir Viruses. 2015;9(5):234-46.  https://doi.org/10.1111/irv.12330  PMID: 26031655 
  15. Wong KC, Luscombe GM, Hawke C. Influenza infections in Australia 2009-2015: is there a combined effect of age and sex on susceptibility to virus subtypes? BMC Infect Dis. 2019;19(1):42.  https://doi.org/10.1186/s12879-019-3681-4  PMID: 30630435 
  16. Lemaitre M, Carrat F. Comparative age distribution of influenza morbidity and mortality during seasonal influenza epidemics and the 2009 H1N1 pandemic. BMC Infect Dis. 2010;10(1):162.  https://doi.org/10.1186/1471-2334-10-162  PMID: 20534113 
  17. Murray JLK, Marques DFP, Cameron RL, Potts A, Bishop J, von Wissmann B, et al. Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date. Euro Surveill. 2018;23(11):11-8.  https://doi.org/10.2807/1560-7917.ES.2018.23.11.18-00079  PMID: 29560854 
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