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

Denise Jia Yun Tan   1 * , BSc(Hons), MBChB, PgCert ;   Tsz Ki Ko   1 * , BSc, MBChB ;   Ka Siu Fan   2 , BSc, MBBS, PgCert

1 Department of Surgery, Royal Stoke University Hospital, Stoke on Trent, United Kingdom

2 Department of Surgery, Royal Surrey County Hospital, Guildford, Surrey, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Tsz Ki Ko, BSc, MBChB
  • Department of Surgery
  • Royal Stoke University Hospital
  • Newcastle Rd
  • Stoke on Trent, ST4 6QG
  • United Kingdom
  • Phone: 44 7378977812
  • Email: tszkiko95@gmail.com