• Josemari T Feliciano, Liz Salmi, Charlie Blotner, Adam Hayden, Edjah K Nduom, Bethany M Kwan, Matthew S Katz, and Elizabeth B Claus.
• Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States.
• J. Med. Internet Res. 2020 Oct 8; 22 (10): e22005.

BackgroundThe Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for patients with brain tumor.ObjectiveTo understand #BTSM's role as a patient support system, we describe user descriptors, growth, interaction, and content sharing.MethodsWe analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users.ResultsFrom 2012 to 2018, 59,764 unique users participated in #BTSM, amassing 298,904 tweets. The yearly volume of #BTSM tweets increased by 264.57% from 16,394 in 2012 to 43,373 in 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.13%), while advocacy groups, caregivers, doctors, and researchers generated 7.01%, 4.63%, 3.86%, and 3.37%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users.ConclusionsFrom its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information on Twitter for patients, advocates, patient organizations as well as health care professionals and researchers.©Josemari T Feliciano, Liz Salmi, Charlie Blotner, Adam Hayden, Edjah K Nduom, Bethany M Kwan, Matthew S Katz, Elizabeth B Claus. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.10.2020.

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