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Assessing the Readability of Covid-19 Testing Messages on the Internet.
Garcia, Philip; Fera, Joseph; Mohlman, Jan; Basch, Corey H.
  • Garcia P; Department of Public Health, Icahn School of Medicine at Mount Sinai, 17 E 102nd Street 5th Floor West, New York, NY, 10029, USA. Philip.Garcia@icahn.mssm.edu.
  • Fera J; Department of Mathematics, Lehman College, The City University of New York, Bronx, NY, 10468, USA.
  • Mohlman J; Department of Psychology, William Paterson University, Wayne, NJ, 07470, USA.
  • Basch CH; Department of Public Health, William Paterson University, Wayne, NJ, 07470, USA.
J Community Health ; 46(5): 913-917, 2021 10.
Article in English | MEDLINE | ID: covidwho-2260104
ABSTRACT
The 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet / Comprehension / Health Literacy / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Community Health Year: 2021 Document Type: Article Affiliation country: S10900-021-00973-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet / Comprehension / Health Literacy / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Community Health Year: 2021 Document Type: Article Affiliation country: S10900-021-00973-6