Readability of Hospital Online Patient Education Materials Across Otolaryngology Specialties
OPEMs from all sources exceed the NIH readability standard. ENTUK serves as a benchmark for accessible language, while ChatGPT demonstrates the feasibility of producing more readable content. Otolaryngologists might consider using ChatGPT to generate patient-friendly materials, with caution, and advocate for national-level improvements in patient education readability.
Authors
- Jean Anderson Eloy (ORCID: https://orcid.org/0000-0003-2893-7818)
- Akshay Warrier (ORCID: https://orcid.org/0000-0003-4841-6366)
- Brian Manzi (ORCID: https://orcid.org/0000-0002-8917-9654)
- Andrew Lee (ORCID: https://orcid.org/0000-0002-3064-390X)
- Rohan Bir Singh (ORCID: https://orcid.org/0000-0002-2426-3900)
- Afash Haleem (ORCID: https://orcid.org/0000-0001-7268-6142)
- David Mothy (ORCID: https://orcid.org/0000-0003-0583-4058)
- Aakash Patel (ORCID: https://orcid.org/0000-0003-0263-8836)
Institutions
- Rutgers, The State University of New Jersey (US)
- Rutgers New Jersey Medical School (US)
Publication Details
- Journal
- Laryngoscope Investigative Otolaryngology
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/lio2.70101
- Citations
- 2
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 5.63