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

Theme Issue 2022: Reproductive Informatics (41) Information Seeking, Information Needs (419) Design and Evaluation of Patient Education Materials (62) Information Quality in Digital Media (316)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46346, first published .
Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations

Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations

Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations

Authors of this article:

Anunita Nattam1 Author Orcid Image ;   Tripura Vithala1 Author Orcid Image ;   Tzu-Chun Wu1 Author Orcid Image ;   Shwetha Bindhu1 Author Orcid Image ;   Gregory Bond2 Author Orcid Image ;   Hexuan Liu3 Author Orcid Image ;   Amy Thompson1 Author Orcid Image ;   Danny T Y Wu1, 2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Anunita Nattam   1 * , BSc ;   Tripura Vithala   1 * ;   Tzu-Chun Wu   1 , PhD ;   Shwetha Bindhu   1 , BSc ;   Gregory Bond   2 , MSc ;   Hexuan Liu   3 , PhD ;   Amy Thompson   1 , MD ;   Danny T Y Wu   1, 2 , MSI, PhD

1 College of Medicine, University of Cincinnati, Cincinnati, OH, United States

2 Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States

3 School of Criminal Justice, University of Cincinnati, Cincinnati, OH, United States

*these authors contributed equally

Corresponding Author:

  • Danny T Y Wu, MSI, PhD
  • Department of Computer Science
  • University of Cincinnati
  • 2610 University Circle
  • Cincinnati, OH, 45221
  • United States
  • Phone: 1 5135564307
  • Email: wutz@ucmail.uc.edu