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

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 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