Peter R Chai1,2, Anne-Michelle Ruha3, Kelly E Wong4, Derek L Monette5, Meghan B Spyres6, Jeff Lapoint7, Howard Greller8, Mark B Mycyk9. 1. Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. Pchai@bwh.harvard.edu. 2. The Fenway Institute, Boston, MA, USA. Pchai@bwh.harvard.edu. 3. Division of Medical Toxicology and Precision Medicine, Department of Medicine, University of Arizona College of Medicine, Tucson, AZ, USA. 4. Department of Emergency Medicine, Rhode Island Hospital, Brown University, Providence, USA. 5. Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. 6. Division of Medical Toxicology, Department of Emergency Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA. 7. Division of Medical Toxicology, Department of Emergency Medicine, Southern California Permanente Medical Group, Pasadena, CA, USA. 8. Division of Medical Toxicology, Department of Emergency Medicine, SBH Health Systems, New York City, NY, USA. 9. Department of Emergency Medicine, Cook County Health and Hospitals System, Chicago, IL, USA.
Abstract
BACKGROUND: Twitter-based chat groups (tweetchats) structured as virtual journal clubs have been demonstrated to provide value to learners. In order to promote topics in medical toxicology, we developed the #firesidetox tweetchat as a virtual journal club to discuss and disseminate topics in medical toxicology. METHODS: A group of medical toxicologists from the American College of Medical Toxicology (ACMT) Public Affairs Committee and editorial board of the Journal of Medical Toxicology (JMT) developed a quarterly one hour tweetchat featuring JMT manuscripts. We gathered basic twittergraphics and used a healthcare hashtag aggregator to measure the number of impressions, participants, and tweets per tweetchat session. A qualitative analysis of important themes from #firesidetox was also completed. RESULTS: During five tweetchats over 12 months, we attracted a mean of 23 participants generating a mean of 150 tweets per #firesidetox tweetchat. Tweets generated a mean of 329,200 impressions (unique user views): these impressions grew by 300% from the first through fifth #firesidetox. The majority of participants self-identified as medical toxicologists or physician learners. Although most were from the USA, participants also came from Australia, Poland, and Qatar. Most tweets centered on medical education and 7.9% tweets were learner-driven or questions asking for a medical toxicologist expert opinion. CONCLUSION: The #firesidetox attracted a diverse group of toxicologists, learners, and members of the public in a virtual journal club setting. The increasing number of impressions, participants, and tweets during #firesidetox demonstrates the tweetchat model to discuss pertinent toxicology topics is feasible and well received among its participants.
BACKGROUND: Twitter-based chat groups (tweetchats) structured as virtual journal clubs have been demonstrated to provide value to learners. In order to promote topics in medical toxicology, we developed the #firesidetox tweetchat as a virtual journal club to discuss and disseminate topics in medical toxicology. METHODS: A group of medical toxicologists from the American College of Medical Toxicology (ACMT) Public Affairs Committee and editorial board of the Journal of Medical Toxicology (JMT) developed a quarterly one hour tweetchat featuring JMT manuscripts. We gathered basic twittergraphics and used a healthcare hashtag aggregator to measure the number of impressions, participants, and tweets per tweetchat session. A qualitative analysis of important themes from #firesidetox was also completed. RESULTS: During five tweetchats over 12 months, we attracted a mean of 23 participants generating a mean of 150 tweets per #firesidetox tweetchat. Tweets generated a mean of 329,200 impressions (unique user views): these impressions grew by 300% from the first through fifth #firesidetox. The majority of participants self-identified as medical toxicologists or physician learners. Although most were from the USA, participants also came from Australia, Poland, and Qatar. Most tweets centered on medical education and 7.9% tweets were learner-driven or questions asking for a medical toxicologist expert opinion. CONCLUSION: The #firesidetox attracted a diverse group of toxicologists, learners, and members of the public in a virtual journal club setting. The increasing number of impressions, participants, and tweets during #firesidetox demonstrates the tweetchat model to discuss pertinent toxicology topics is feasible and well received among its participants.
Entities:
Keywords:
Journal clubs; Medical education; Toxicology; Twitter
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