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Assessment of COVID-19 Information Overload Among the General Public
BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating cons...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815186/ https://www.ncbi.nlm.nih.gov/pubmed/33469869 http://dx.doi.org/10.1007/s40615-020-00942-0 |
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author | Mohammed, Mustapha Sha’aban, Abubakar Jatau, Abubakar Ibrahim Yunusa, Ismaeel Isa, Abubakar Musa Wada, Abubakar Sadiq Obamiro, Kehinde Zainal, Hadzliana Ibrahim, Baharudin |
author_facet | Mohammed, Mustapha Sha’aban, Abubakar Jatau, Abubakar Ibrahim Yunusa, Ismaeel Isa, Abubakar Musa Wada, Abubakar Sadiq Obamiro, Kehinde Zainal, Hadzliana Ibrahim, Baharudin |
author_sort | Mohammed, Mustapha |
collection | PubMed |
description | BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences. OBJECTIVES: To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. METHODS: A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. RESULTS: A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608–132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI, 1.124–13.480; p = 0.032) were more likely to have high COVIO than those who received information every week. CONCLUSION: The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-020-00942-0. |
format | Online Article Text |
id | pubmed-7815186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78151862021-01-21 Assessment of COVID-19 Information Overload Among the General Public Mohammed, Mustapha Sha’aban, Abubakar Jatau, Abubakar Ibrahim Yunusa, Ismaeel Isa, Abubakar Musa Wada, Abubakar Sadiq Obamiro, Kehinde Zainal, Hadzliana Ibrahim, Baharudin J Racial Ethn Health Disparities Article BACKGROUND: A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences. OBJECTIVES: To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. METHODS: A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. RESULTS: A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608–132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI, 1.124–13.480; p = 0.032) were more likely to have high COVIO than those who received information every week. CONCLUSION: The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-020-00942-0. Springer International Publishing 2021-01-19 2022 /pmc/articles/PMC7815186/ /pubmed/33469869 http://dx.doi.org/10.1007/s40615-020-00942-0 Text en © W. Montague Cobb-NMA Health Institute 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mohammed, Mustapha Sha’aban, Abubakar Jatau, Abubakar Ibrahim Yunusa, Ismaeel Isa, Abubakar Musa Wada, Abubakar Sadiq Obamiro, Kehinde Zainal, Hadzliana Ibrahim, Baharudin Assessment of COVID-19 Information Overload Among the General Public |
title | Assessment of COVID-19 Information Overload Among the General Public |
title_full | Assessment of COVID-19 Information Overload Among the General Public |
title_fullStr | Assessment of COVID-19 Information Overload Among the General Public |
title_full_unstemmed | Assessment of COVID-19 Information Overload Among the General Public |
title_short | Assessment of COVID-19 Information Overload Among the General Public |
title_sort | assessment of covid-19 information overload among the general public |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815186/ https://www.ncbi.nlm.nih.gov/pubmed/33469869 http://dx.doi.org/10.1007/s40615-020-00942-0 |
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