This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Information Quality in Digital Media (340) Quality/Credibility of eHealth Information and Trust Issues (531) Reviews on Usage or other Formative Evaluation Metrics (44)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32443, first published .
Assessing COVID-19 Health Information on Google Using the Quality Evaluation Scoring Tool (QUEST): Cross-sectional and Readability Analysis

Assessing COVID-19 Health Information on Google Using the Quality Evaluation Scoring Tool (QUEST): Cross-sectional and Readability Analysis

Assessing COVID-19 Health Information on Google Using the Quality Evaluation Scoring Tool (QUEST): Cross-sectional and Readability Analysis

Authors of this article:

Vismaya S Bachu1 Author Orcid Image ;   Heba Mahjoub1 Author Orcid Image ;   Albert E Holler1 Author Orcid Image ;   Tudor Crihalmeanu2 Author Orcid Image ;   Dheevena M Bachu3 Author Orcid Image ;   Varun Ayyaswami4 Author Orcid Image ;   Pearman D Parker5 Author Orcid Image ;   Arpan V Prabhu6 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

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  1. Josey M, Gaid D, Bishop L, Blackwood M, Najafizada M, Donnan J. The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis. JMIR Infodemiology 2023;3:e43001 View
  2. Tao B, Handzic A, Hua N, Vosoughi A, Margolin E, Micieli J. Utility of ChatGPT for Automated Creation of Patient Education Handouts: An Application in Neuro-Ophthalmology. Journal of Neuro-Ophthalmology 2024;44(1):119 View
  3. Bralić N, Mijatović A, Marušić A, Buljan I. Conclusiveness, readability and textual characteristics of plain language summaries from medical and non-medical organizations: a cross-sectional study. Scientific Reports 2024;14(1) View
  4. Salahshouri A, Araban M, Heydarabadi A, Hatamzadeh N, Jasemzadeh M, Mohamadian H. Assessing the Quality of COVID-19 Messages on Ahvaz Jundishapur University of Medical Sciences Website: A Content Analysis. The Open Public Health Journal 2024;17(1) View