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Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter

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 b...

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Autores principales: Alnemer, Khalid A, Alhuzaim, Waleed M, Alnemer, Ahmed A, Alharbi, Bader B, Bawazir, Abdulrahman S, Barayyan, Omar R, Balaraj, Faisal K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642373/
https://www.ncbi.nlm.nih.gov/pubmed/26515535
http://dx.doi.org/10.2196/jmir.4898
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author Alnemer, Khalid A
Alhuzaim, Waleed M
Alnemer, Ahmed A
Alharbi, Bader B
Bawazir, Abdulrahman S
Barayyan, Omar R
Balaraj, Faisal K
author_facet Alnemer, Khalid A
Alhuzaim, Waleed M
Alnemer, Ahmed A
Alharbi, Bader B
Bawazir, Abdulrahman S
Barayyan, Omar R
Balaraj, Faisal K
author_sort Alnemer, Khalid A
collection PubMed
description 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.
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spelling pubmed-46423732016-01-12 Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter Alnemer, Khalid A Alhuzaim, Waleed M Alnemer, Ahmed A Alharbi, Bader B Bawazir, Abdulrahman S Barayyan, Omar R Balaraj, Faisal K J Med Internet Res Original Paper 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. JMIR Publications Inc. 2015-10-29 /pmc/articles/PMC4642373/ /pubmed/26515535 http://dx.doi.org/10.2196/jmir.4898 Text en ©Khalid A Alnemer, Waleed M Alhuzaim, Ahmed A Alnemer, Bader B Alharbi, Abdulrahman S Bawazir, Omar R Barayyan, Faisal K Balaraj. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.10.2015. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Alnemer, Khalid A
Alhuzaim, Waleed M
Alnemer, Ahmed A
Alharbi, Bader B
Bawazir, Abdulrahman S
Barayyan, Omar R
Balaraj, Faisal K
Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title_full Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title_fullStr Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title_full_unstemmed Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title_short Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter
title_sort are health-related tweets evidence based? review and analysis of health-related tweets on twitter
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642373/
https://www.ncbi.nlm.nih.gov/pubmed/26515535
http://dx.doi.org/10.2196/jmir.4898
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