PubMed · 2007 · 16 citations · 0 references
Medical ContentPilot StudySocial MediaHealth CommunicationDigital HealthPublic HealthDiabetes Mellitus TypeConsumer HealthHealth PolicyE-health ServiceHealth Information SystemUser-generated Health InformationHealth Information TechnologyNursingHealth DataHealthcare CommunicationPersonal Health RecordArtsHealth Informatics
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.