Assessing the Readability of Covid-19 Testing Messages on the Internet

Author:

Garcia PhilipORCID,Fera Joseph,Mohlman Jan,Basch Corey H.

Abstract

AbstractThe COVID-19 pandemic first became evident at the end of 2019, and because of the many unknown aspects of this emerging infectious disease, the internet quickly became a source of information for consumers. It is important for any vital information to be written unambiguously, and at a level that can be understood by all people regardless of education levels. The purpose of this study was to assess the readability of 50 sources of COVID19 testing information online. Only 6 websites out of 50 received an appropriate readability score on more than one assessment. One-sample, one-tailed t-tests (α = 0.05, df = 49) were used to see if the websites with information on COVID-19 testing are being written at appropriate reading levels. The resulting p-values indicate that each p-value recorded is substantially below 0.05, it is very unlikely that websites on this topic are being written at the recommended levels. Even the optimal messages on COVID-19 reflect a confusing and rapidly changing public health crisis, however if messages are kept simple and clear, individuals will have the best possible chance of optimizing behavioral mitigation strategies. These are compelling reasons for informational hosts to take necessary steps to ensure that messages are written in as simple terms as possible. To this end, it is suggested that internet sites dispersing COVID-19 testing information build in text analysis methods for all published messages, particularly those meant to inform best health practices in the time of a pandemic.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health (social science)

Reference31 articles.

1. World Health Organization. (2020). Timeline of WHO’s response to COVID-19. https://www.who.int/news-room/detail/29-06-2020-covidtimeline.

2. Guan, W. J., Ni, Z. Y., Hu, Y., Liang, W. H., Ou, C. Q., & He, J. X. (2020). Clinical Characteristics of Coronavirus Disease 2019 in China. New England Journal of Medicine, 382, 1708–1720.

3. World Health Organization. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19–11 March 2020. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.

4. Johns Hopkins University & Medicine. (2021). COVID-19 Map – John Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html.

5. United States Food and Drug Administration. (2020). Coronavirus Disease 2019 Testing Basics. U.S Food & Drug Administration. https://www.fda.gov/consumers/consumer-updates/coronavirus-disease-2019-testing-basics#:~:text=Currently%20there%20are%20two %20types,proteins%20from%20the%20virus.

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