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Self-diagnosis of influenza during a pandemic: a cross-sectional survey
BACKGROUND: Self-diagnosis of influenza is an important component of pandemic control and management as it may support self-management practices and reduce visits to healthcare facilities, thus helping contain viral spread. However, little is known about the accuracy of self-diagnosis of influenza,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191601/ https://www.ncbi.nlm.nih.gov/pubmed/22021887 http://dx.doi.org/10.1136/bmjopen-2011-000234 |
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author | Jutel, Annemarie Baker, Michael G Stanley, James Huang, Q Sue Bandaranayake, Don |
author_facet | Jutel, Annemarie Baker, Michael G Stanley, James Huang, Q Sue Bandaranayake, Don |
author_sort | Jutel, Annemarie |
collection | PubMed |
description | BACKGROUND: Self-diagnosis of influenza is an important component of pandemic control and management as it may support self-management practices and reduce visits to healthcare facilities, thus helping contain viral spread. However, little is known about the accuracy of self-diagnosis of influenza, particularly during pandemics. METHODS: We used cross-sectional survey data to correlate self-diagnosis of influenza with serological evidence of 2009 pandemic influenza A(H1N1) infection (haemagglutination inhibition titres of ≥1:40) and to determine what symptoms were more likely to be present in accurate self-diagnosis. The sera and risk factor data were collected for the national A(H1N1) seroprevalence survey from November 2009 to March 2010, 3 months after the first pandemic wave in New Zealand (NZ). RESULTS: The samples consisted of 318 children, 413 adults and 423 healthcare workers. The likelihood of being seropositive was no different in those who believed they had influenza from those who believed they did not have influenza in all groups. Among adults, 23.3% (95% CI 11.9% to 34.7%) of those who reported having had influenza were seropositive for H1N1, but among those reporting no influenza, 21.3% (95% CI 13% to 29.7%) were also seropositive. Those meeting NZ surveillance or Ministry of Health influenza case definitions were more likely to believe they had the flu (surveillance data adult sample OR 27.1, 95% CI 13.6 to 53.6), but these symptom profiles were not associated with a higher likelihood of H1N1 seropositivity (surveillance data adult sample OR 0.93, 95% CI 0.5 to 1.7). CONCLUSIONS: Self-diagnosis does not accurately predict influenza seropositivity. The symptoms promoted by many public health campaigns are linked with self-diagnosis of influenza but not with seropositivity. These findings raise challenges for public health initiatives that depend on accurate self-diagnosis by members of the public and appropriate self-management action. |
format | Online Article Text |
id | pubmed-3191601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-31916012011-10-13 Self-diagnosis of influenza during a pandemic: a cross-sectional survey Jutel, Annemarie Baker, Michael G Stanley, James Huang, Q Sue Bandaranayake, Don BMJ Open Public Health BACKGROUND: Self-diagnosis of influenza is an important component of pandemic control and management as it may support self-management practices and reduce visits to healthcare facilities, thus helping contain viral spread. However, little is known about the accuracy of self-diagnosis of influenza, particularly during pandemics. METHODS: We used cross-sectional survey data to correlate self-diagnosis of influenza with serological evidence of 2009 pandemic influenza A(H1N1) infection (haemagglutination inhibition titres of ≥1:40) and to determine what symptoms were more likely to be present in accurate self-diagnosis. The sera and risk factor data were collected for the national A(H1N1) seroprevalence survey from November 2009 to March 2010, 3 months after the first pandemic wave in New Zealand (NZ). RESULTS: The samples consisted of 318 children, 413 adults and 423 healthcare workers. The likelihood of being seropositive was no different in those who believed they had influenza from those who believed they did not have influenza in all groups. Among adults, 23.3% (95% CI 11.9% to 34.7%) of those who reported having had influenza were seropositive for H1N1, but among those reporting no influenza, 21.3% (95% CI 13% to 29.7%) were also seropositive. Those meeting NZ surveillance or Ministry of Health influenza case definitions were more likely to believe they had the flu (surveillance data adult sample OR 27.1, 95% CI 13.6 to 53.6), but these symptom profiles were not associated with a higher likelihood of H1N1 seropositivity (surveillance data adult sample OR 0.93, 95% CI 0.5 to 1.7). CONCLUSIONS: Self-diagnosis does not accurately predict influenza seropositivity. The symptoms promoted by many public health campaigns are linked with self-diagnosis of influenza but not with seropositivity. These findings raise challenges for public health initiatives that depend on accurate self-diagnosis by members of the public and appropriate self-management action. BMJ Group 2011-09-12 /pmc/articles/PMC3191601/ /pubmed/22021887 http://dx.doi.org/10.1136/bmjopen-2011-000234 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Public Health Jutel, Annemarie Baker, Michael G Stanley, James Huang, Q Sue Bandaranayake, Don Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title | Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title_full | Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title_fullStr | Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title_full_unstemmed | Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title_short | Self-diagnosis of influenza during a pandemic: a cross-sectional survey |
title_sort | self-diagnosis of influenza during a pandemic: a cross-sectional survey |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191601/ https://www.ncbi.nlm.nih.gov/pubmed/22021887 http://dx.doi.org/10.1136/bmjopen-2011-000234 |
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