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

Formative Evaluation of Digital Health Interventions (3229) Consumer & Patient Education and Shared-Decision Making (862) Artificial Intelligence (2129) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87)

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 (11) Tweetations (4) Metrics

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  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 2025;41(04):472 View
  4. Oyama R, Okuhara T, Furukawa E, Okada H, Kiuchi T. Quality Assessment of Medical Institutions’ Websites Regarding Prescription Drug Misuse of Glucagon-Like Peptide-1 Receptor Agonists by Off-Label Use for Weight Loss: Website Evaluation Study. JMIR Formative Research 2025;9:e68792 View
  5. Stephenson-Moe C, Behers B, Gibons R, Behers B, Jesus Herrera L, Anneaud D, Rosario M, Wojtas C, Bhambrah S, Hamad K. Assessing the quality and readability of patient education materials on chemotherapy cardiotoxicity from artificial intelligence chatbots: An observational cross-sectional study. Medicine 2025;104(15):e42135 View
  6. Gökcek Taraç M, Nale T. Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?. BMC Oral Health 2025;25(1) View
  7. zhang Q, Li Z, Zhang H, Han L, Zhao S, Jia S. YouTube and Bilibili as sources of information on oral cancer: cross-sectional content analysis study. Scientific Reports 2025;15(1) View
  8. Pavuloori M, Lin A, Mi M. Tools/instruments for assessing YouTube videos on surgical procedures for patient/consumer health education: a systematic review. Frontiers in Public Health 2025;13 View
  9. Parnell J, Daly D, Duff J, Walsh A. Quality of health information for women with epilepsy from preconception to postpartum: An evaluation of online resources. Epilepsy & Behavior 2025;172:110656 View
  10. Fan K, Gan J, Zou I, Kaladjiska M, Inguanez M, Garden G. Poor Performance of Large Language Models Based on the Diabetes and Endocrinology Specialty Certificate Examination of the United Kingdom. Cureus 2025 View
  11. Zieber M, Weaver W, Felter E, Brackbill L, Rajan D, Durst A. Analyzing accessibility and suitability of online Krabbe disease resources. Journal of Community Genetics 2025;17(1) View