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

Formative Evaluation of Digital Health Interventions (2491) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Information Quality in Digital Media (347) Quality/Credibility of eHealth Information and Trust Issues (544) 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 (5) Tweetations (4) Metrics

Journals

  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
  5. Naveed M. Readability of wikipedia pages on COVID-19. Universal Access in the Information Society 2024 View