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

eHealth Literacy / Digital Literacy (390) Quality/Credibility of eHealth Information and Trust Issues (531) Information Seeking, Information Needs (465) Information Quality in Digital Media (340) Patient Education in Cardiology (31)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31284, first published .
Online Patient Education Materials Related to Lipoprotein(a): Readability Assessment

Online Patient Education Materials Related to Lipoprotein(a): Readability Assessment

Online Patient Education Materials Related to Lipoprotein(a): Readability Assessment

Authors of this article:

Keon Pearson1 Author Orcid Image ;   Summer Ngo2 Author Orcid Image ;   Eson Ekpo1 Author Orcid Image ;   Ashish Sarraju2 Author Orcid Image ;   Grayson Baird3 Author Orcid Image ;   Joshua Knowles2 Author Orcid Image ;   Fatima Rodriguez2 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Fulmer A, Abboud G, Wallace L. Health literacy characteristics of over-the-counter rapid antigen COVID-19 test materials. Research in Social and Administrative Pharmacy 2022;18(12):4124 View
  2. Ahmadzadeh K, Bahrami M, Zare‐Farashbandi F, Adibi P, Boroumand M, Rahimi A. Patient education information material assessment criteria: A scoping review. Health Information & Libraries Journal 2023;40(1):3 View
  3. Nattam A, Vithala T, Wu T, Bindhu S, Bond G, Liu H, Thompson A, Wu D. Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations. Journal of Medical Internet Research 2023;25:e46346 View
  4. Furukawa E, Okuhara T, Okada H, Nishiie Y, Kiuchi T. Evaluating the understandability and actionability of online CKD educational materials. Clinical and Experimental Nephrology 2024;28(1):31 View
  5. Odeh M, Oqal M, AlDroubi H, Al-Omari B. Assessing the competency of pharmacists in writing effective curriculum vitae for job applications: a cross-sectional study and readability index evaluation. BMC Medical Education 2023;23(1) View
  6. Ciffone N, McNeal C, McGowan M, Ferdinand K. Lipoprotein(a): An important piece of the ASCVD risk factor puzzle across diverse populations. American Heart Journal Plus: Cardiology Research and Practice 2024;38:100350 View
  7. Mishra V, Sarraju A, Kalwani N, Dexter J. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e55388 View
  8. Hillmann H, Angelini E, Karfoul N, Feickert S, Mueller-Leisse J, Duncker D. Accuracy and comprehensibility of chat-based artificial intelligence for patient information on atrial fibrillation and cardiac implantable electronic devices. Europace 2023;26(1) View
  9. 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
  10. Doshi R, Amin K, Khosla P, Bajaj S, Chheang S, Forman H. Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis. Radiology 2024;310(3) View
  11. Furukawa E, Okuhara T, Okada H, Fujitomo Y, Kiuchi T. Assessing the understandability and actionability of online resources for patients undergoing hemodialysis. Therapeutic Apheresis and Dialysis 2024 View
  12. Pan W, Li X, Chen X, Xu R. Textual form features for text readability assessment. Natural Language Processing 2024:1 View