| Literature DB >> 18694234 |
Christopher C Tsai1, Sarai H Tsai, Qing Zeng-Treitler, Bryan A Liang.
Abstract
The quality of user-generated health information on consumer health social networking websites has not been studied. We collected a set of postings related to Diabetes Mellitus Type I from three such sites and classified them based on accuracy, error type, and clinical significance of error. We found 48% of postings contained medical content, and 54% of these were either incomplete or contained errors. About 85% of the incomplete and erroneous messages were potentially clinically significant.Entities:
Mesh：
Year: 2007 PMID： 18694234
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076