Literature DB >> 33638806

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

Philip Garcia1, Joseph Fera2, Jan Mohlman3, Corey H Basch4.   

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.
© 2021. The Author(s).

Entities:  

Keywords:  COVID-19 testing; Internet; Online; Readability

Mesh:

Year:  2021        PMID: 33638806      PMCID: PMC7910765          DOI: 10.1007/s10900-021-00973-6

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  12 in total

1.  Individual differences in text comprehension as a function of test anxiety and prior knowledge.

Authors:  A E Minnaert
Journal:  Psychol Rep       Date:  1999-02

2.  Temporal dynamics in viral shedding and transmissibility of COVID-19.

Authors:  Xi He; Eric H Y Lau; Peng Wu; Xilong Deng; Jian Wang; Xinxin Hao; Yiu Chung Lau; Jessica Y Wong; Yujuan Guan; Xinghua Tan; Xiaoneng Mo; Yanqing Chen; Baolin Liao; Weilie Chen; Fengyu Hu; Qing Zhang; Mingqiu Zhong; Yanrong Wu; Lingzhai Zhao; Fuchun Zhang; Benjamin J Cowling; Fang Li; Gabriel M Leung
Journal:  Nat Med       Date:  2020-04-15       Impact factor: 53.440

3.  Experimental manipulation of intolerance of uncertainty: a study of a theoretical model of worry.

Authors:  R Ladouceur; P Gosselin; M J Dugas
Journal:  Behav Res Ther       Date:  2000-09

4.  Anxiety and the interpretation of ambiguity: a text comprehension study.

Authors:  C MacLeod; I L Cohen
Journal:  J Abnorm Psychol       Date:  1993-05

5.  A little uncertainty goes a long way: state and trait differences in uncertainty interact to increase information seeking but also increase worry.

Authors:  Natalie O Rosen; Bärbel Knäuper
Journal:  Health Commun       Date:  2009-04

6.  Antibody tests for identification of current and past infection with SARS-CoV-2.

Authors:  Jonathan J Deeks; Jacqueline Dinnes; Yemisi Takwoingi; Clare Davenport; René Spijker; Sian Taylor-Phillips; Ada Adriano; Sophie Beese; Janine Dretzke; Lavinia Ferrante di Ruffano; Isobel M Harris; Malcolm J Price; Sabine Dittrich; Devy Emperador; Lotty Hooft; Mariska Mg Leeflang; Ann Van den Bruel
Journal:  Cochrane Database Syst Rev       Date:  2020-06-25

7.  Health Information Obtained From the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey.

Authors:  Yen-Yuan Chen; Chia-Ming Li; Jyh-Chong Liang; Chin-Chung Tsai
Journal:  J Med Internet Res       Date:  2018-02-12       Impact factor: 5.428

8.  Public Health Communication in Time of Crisis: Readability of On-Line COVID-19 Information.

Authors:  Corey H Basch; Jan Mohlman; Grace C Hillyer; Philip Garcia
Journal:  Disaster Med Public Health Prep       Date:  2020-05-11       Impact factor: 1.385

9.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

10.  Testing for SARS-CoV-2 (COVID-19): a systematic review and clinical guide to molecular and serological in-vitro diagnostic assays.

Authors:  Antonio La Marca; Martina Capuzzo; Tiziana Paglia; Laura Roli; Tommaso Trenti; Scott M Nelson
Journal:  Reprod Biomed Online       Date:  2020-06-14       Impact factor: 3.828

View more
  1 in total

1.  Readability of Korean-Language COVID-19 Information from the South Korean National COVID-19 Portal Intended for the General Public: Cross-sectional Infodemiology Study.

Authors:  Hana Moon; Geon Ho Lee; Yoon Jeong Cho
Journal:  JMIR Form Res       Date:  2022-03-03
  1 in total

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