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

Formative Evaluation of Digital Health Interventions (2491) Consumer & Patient Education and Shared-Decision Making (695) Artificial Intelligence (1421) Artificial Intelligence (96) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (39)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47762, first published .
The Readability and Quality of Web-Based Patient Information on Nasopharyngeal Carcinoma: Quantitative Content Analysis

The Readability and Quality of Web-Based Patient Information on Nasopharyngeal Carcinoma: Quantitative Content Analysis

The Readability and Quality of Web-Based Patient Information on Nasopharyngeal Carcinoma: Quantitative Content Analysis

Authors of this article:

Denise Jia Yun Tan1 Author Orcid Image ;   Tsz Ki Ko1 Author Orcid Image ;   Ka Siu Fan2 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Ko T, Tan D, Fan K. Evaluation of the Quality and Readability of Web-Based Information Regarding Foreign Bodies of the Ear, Nose, and Throat: Qualitative Content Analysis. JMIR Formative Research 2024;8:e55535 View
  2. Liu Z, Chen Y, Lin Y, Ai M, Lian D, Zhang Y, Shen Y, Yu F. YouTube/ Bilibili/ TikTok videos as sources of medical information on laryngeal carcinoma: cross-sectional content analysis study. BMC Public Health 2024;24(1) View
  3. Shamil E, Ko T, Fan K, Schuster-Bruce J, Jaafar M, Khwaja S, Eynon-Lewis N, D'Souza A, Andrews P. Assessing the Quality and Readability of Online Patient Information: ENT UK Patient Information e-Leaflets versus Responses by a Generative Artificial Intelligence. Facial Plastic Surgery 2024 View
  4. Oyama R, Okuhara T, Furukawa E, Okada H, Kiuchi T. The Quality Assessment of Medical Institutions’ Websites Regarding Prescription Drug Misuse of GLP-1RAs Off-label Use: Website Evaluation Study (Preprint). JMIR Formative Research 2024 View