Document Type
Conference Proceeding
Department
Information Systems and Technology (CGU)
Publication Date
2006
Disciplines
Databases and Information Systems | Management Information Systems | Medicine and Health Sciences
Abstract
Millions of people search online for medical text, but these texts are often too complicated to understand. Readability evaluations are mostly based on surface metrics such as character or words counts and sentence syntax, but content is ignored. We compared four types of documents, easy and difficult WebMD documents, patient blogs, and patient educational material, for surface and content-based metrics. The documents differed significantly in reading grade levels and vocabulary used. WebMD pages with high readability also used terminology that was more consumer-friendly. Moreover, difficult documents are harder to understand due to their grammar and word choice and because they discuss more difficult topics. This indicates that we can simplify many documents by focusing on word choice in addition to sentence structure, however, for difficult documents this may be insufficient.
Rights Information
© 2008 AMIA
Terms of Use & License Information
Recommended Citation
G. Leroy, E. Eryilmaz, and B. T. Laroya, "Health Information Text Characteristics", American Medical Informatics Association (AMIA) Annual Symposium, Washington DC, November 11-15, 2006.
Included in
Databases and Information Systems Commons, Management Information Systems Commons, Medicine and Health Sciences Commons
Comments
Nominated for Distinguished Paper Award