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Knowledge barriers in a national symptomatic-COVID-19 testing programme
Symptomatic testing programmes are crucial to the COVID-19 pandemic response. We sought to examine United Kingdom (UK) testing rates amongst individuals with test-qualifying symptoms, and factors associated with not testing. We analysed a cohort of untested symptomatic app users (N = 1,237), nested...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022193/ https://www.ncbi.nlm.nih.gov/pubmed/36962066 http://dx.doi.org/10.1371/journal.pgph.0000028 |
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author | Graham, Mark S. May, Anna Varsavsky, Thomas Sudre, Carole H. Murray, Benjamin Kläser, Kerstin Antonelli, Michela Canas, Liane S. Molteni, Erika Modat, Marc Cardoso, M. Jorge Drew, David A. Nguyen, Long H. Rader, Benjamin Hu, Christina Capdevila, Joan Hammers, Alexander Chan, Andrew T. Wolf, Jonathan Brownstein, John S. Spector, Tim D. Ourselin, Sebastien Steves, Claire J. Astley, Christina M. |
author_facet | Graham, Mark S. May, Anna Varsavsky, Thomas Sudre, Carole H. Murray, Benjamin Kläser, Kerstin Antonelli, Michela Canas, Liane S. Molteni, Erika Modat, Marc Cardoso, M. Jorge Drew, David A. Nguyen, Long H. Rader, Benjamin Hu, Christina Capdevila, Joan Hammers, Alexander Chan, Andrew T. Wolf, Jonathan Brownstein, John S. Spector, Tim D. Ourselin, Sebastien Steves, Claire J. Astley, Christina M. |
author_sort | Graham, Mark S. |
collection | PubMed |
description | Symptomatic testing programmes are crucial to the COVID-19 pandemic response. We sought to examine United Kingdom (UK) testing rates amongst individuals with test-qualifying symptoms, and factors associated with not testing. We analysed a cohort of untested symptomatic app users (N = 1,237), nested in the Zoe COVID Symptom Study (Zoe, N = 4,394,948); and symptomatic respondents who wanted, but did not have a test (N = 1,956), drawn from a University of Maryland survey administered to Facebook users (The Global COVID-19 Trends and Impact Survey [CTIS], N = 775,746). The proportion tested among individuals with incident test-qualifying symptoms rose from ~20% to ~75% from April to December 2020 in Zoe. Testing was lower with one vs more symptoms (72.9% vs 84.6% p<0.001), or short vs long symptom duration (69.9% vs 85.4% p<0.001). 40.4% of survey respondents did not identify all three test-qualifying symptoms. Symptom identification decreased for every decade older (OR = 0.908 [95% CI 0.883–0.933]). Amongst symptomatic UMD-CTIS respondents who wanted but did not have a test, not knowing where to go was the most cited factor (32.4%); this increased for each decade older (OR = 1.207 [1.129–1.292]) and for every 4-years fewer in education (OR = 0.685 [0.599–0.783]). Despite current UK messaging on COVID-19 testing, there is a knowledge gap about when and where to test, and this may be contributing to the ~25% testing gap. Risk factors, including older age and less education, highlight potential opportunities to tailor public health messages. The testing gap may be ever larger in countries that do not have extensive, free testing, as the UK does. |
format | Online Article Text |
id | pubmed-10022193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100221932023-03-17 Knowledge barriers in a national symptomatic-COVID-19 testing programme Graham, Mark S. May, Anna Varsavsky, Thomas Sudre, Carole H. Murray, Benjamin Kläser, Kerstin Antonelli, Michela Canas, Liane S. Molteni, Erika Modat, Marc Cardoso, M. Jorge Drew, David A. Nguyen, Long H. Rader, Benjamin Hu, Christina Capdevila, Joan Hammers, Alexander Chan, Andrew T. Wolf, Jonathan Brownstein, John S. Spector, Tim D. Ourselin, Sebastien Steves, Claire J. Astley, Christina M. PLOS Glob Public Health Research Article Symptomatic testing programmes are crucial to the COVID-19 pandemic response. We sought to examine United Kingdom (UK) testing rates amongst individuals with test-qualifying symptoms, and factors associated with not testing. We analysed a cohort of untested symptomatic app users (N = 1,237), nested in the Zoe COVID Symptom Study (Zoe, N = 4,394,948); and symptomatic respondents who wanted, but did not have a test (N = 1,956), drawn from a University of Maryland survey administered to Facebook users (The Global COVID-19 Trends and Impact Survey [CTIS], N = 775,746). The proportion tested among individuals with incident test-qualifying symptoms rose from ~20% to ~75% from April to December 2020 in Zoe. Testing was lower with one vs more symptoms (72.9% vs 84.6% p<0.001), or short vs long symptom duration (69.9% vs 85.4% p<0.001). 40.4% of survey respondents did not identify all three test-qualifying symptoms. Symptom identification decreased for every decade older (OR = 0.908 [95% CI 0.883–0.933]). Amongst symptomatic UMD-CTIS respondents who wanted but did not have a test, not knowing where to go was the most cited factor (32.4%); this increased for each decade older (OR = 1.207 [1.129–1.292]) and for every 4-years fewer in education (OR = 0.685 [0.599–0.783]). Despite current UK messaging on COVID-19 testing, there is a knowledge gap about when and where to test, and this may be contributing to the ~25% testing gap. Risk factors, including older age and less education, highlight potential opportunities to tailor public health messages. The testing gap may be ever larger in countries that do not have extensive, free testing, as the UK does. Public Library of Science 2022-01-19 /pmc/articles/PMC10022193/ /pubmed/36962066 http://dx.doi.org/10.1371/journal.pgph.0000028 Text en © 2022 Graham et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Graham, Mark S. May, Anna Varsavsky, Thomas Sudre, Carole H. Murray, Benjamin Kläser, Kerstin Antonelli, Michela Canas, Liane S. Molteni, Erika Modat, Marc Cardoso, M. Jorge Drew, David A. Nguyen, Long H. Rader, Benjamin Hu, Christina Capdevila, Joan Hammers, Alexander Chan, Andrew T. Wolf, Jonathan Brownstein, John S. Spector, Tim D. Ourselin, Sebastien Steves, Claire J. Astley, Christina M. Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title | Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title_full | Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title_fullStr | Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title_full_unstemmed | Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title_short | Knowledge barriers in a national symptomatic-COVID-19 testing programme |
title_sort | knowledge barriers in a national symptomatic-covid-19 testing programme |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022193/ https://www.ncbi.nlm.nih.gov/pubmed/36962066 http://dx.doi.org/10.1371/journal.pgph.0000028 |
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