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Assessing the Accuracy and Readability of Online Health Information for Patients With Pancreatic Cancer
Author(s) -
Alessandra Storino,
Manuel Castillo-Ángeles,
Ammara A. Watkins,
Christina R. Vargas,
Joseph D. Mancias,
Andrea J. Bullock,
Aram N. Demirjian,
A. James Moser,
Tara S. Kent
Publication year - 2016
Publication title -
jama surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.757
H-Index - 176
eISSN - 2168-6262
pISSN - 2168-6254
DOI - 10.1001/jamasurg.2016.0730
Subject(s) - readability , medicine , modalities , modality (human–computer interaction) , medical physics , comprehension , artificial intelligence , computer science , social science , sociology , programming language
The degree to which patients are empowered by written educational materials depends on the text's readability level and the accuracy of the information provided. The association of a website's affiliation or focus on treatment modality with its readability and accuracy has yet to be thoroughly elucidated.

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