%0 Journal Article
%@ 1438-8871
%I JMIR Publications Inc.
%V 17
%N 10
%P e246
%T Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
%A Alnemer,Khalid A
%A Alhuzaim,Waleed M
%A Alnemer,Ahmed A
%A Alharbi,Bader B
%A Bawazir,Abdulrahman S
%A Barayyan,Omar R
%A Balaraj,Faisal K
%+ Department of Internal Medicine, Al-Imam Mohammad Ibn Saud Islamic University, Riyadh, 13317-4233., Saudi Arabia, 966 1 2037100, alnemerk@hotmail.com
%K health
%K diseases
%K daily medical information
%K medical accounts
%K health accounts
%K doctor accounts
%K nutrition accounts
%D 2015
%7 29.10.2015
%9 Original Paper
%J J Med Internet Res
%G English
%X Background: Health care professionals are utilizing Twitter to communicate, develop disease surveillance systems, and mine health-related information. The immediate users of this health information is the general public, including patients. This necessitates the validation of health-related tweets by health care professionals to ensure they are evidence based and to avoid the use of noncredible information as a basis for critical decisions. Objective: The aim of this study was to evaluate health-related tweets on Twitter for validity (evidence based) and to create awareness in the community regarding the importance of evidence-based health-related tweets. Methods: All tweets containing health-related information in the Arabic language posted April 1-5, 2015, were mined from Twitter. The tweets were classified based on popularity, activity, interaction, and frequency to obtain 25 Twitter accounts (8 physician accounts, 10 nonofficial health institute accounts, 4 dietitian accounts, and 3 government institute accounts) and 625 tweets. These tweets were evaluated by 3 American Board–certified medical consultants and a score was generated (true/false) and interobserver agreement was calculated. Results: A total of 625 health-related Arabic-language tweets were identified from 8 physician accounts, 10 nonofficial health institute accounts, 4 dietician accounts, and 3 government institute accounts. The reviewers labeled 320 (51.2%) tweets as false and 305 (48.8%) tweets as true. Comparative analysis of tweets by account type showed 60 of 75 (80%) tweets by government institutes, 124 of 201 (61.7%) tweets by physicians, and 42 of 101 (41.6%) tweets by dieticians were true. The interobserver agreement was moderate (range 0.78-0.22). More than half of the health-related tweets (169/248, 68.1%) from nonofficial health institutes and dietician accounts (59/101, 58.4%) were false. Tweets by the physicians were more likely to be rated “true” compared to other groups (P<.001). Conclusions: Approximately half of the medical tweets from professional accounts on Twitter were found to be false based on expert review. Furthermore, most of the evidence-based health-related tweets are posted by government institutes and physicians. 
%M 26515535
%R 10.2196/jmir.4898
%U http://www.jmir.org/2015/10/e246/
%U https://doi.org/10.2196/jmir.4898
%U http://www.ncbi.nlm.nih.gov/pubmed/26515535