Romain Martischang1, Ermira Tartari1,2,3, Claire Kilpatrick4, Graham Mackenzie5, Vanessa Carter6,7, Enrique Castro-Sánchez8, Hilda Márquez-Villarreal9, Jonathan A Otter8, Eli Perencevich10, Denise Silber11, Julie Storr4, Jason Tetro12, Andreas Voss13,14,15, Didier Pittet16. 1. Infection Control Programme and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, 4 Rue Gabrielle-Perret-Gentil, 1211, Geneva, Switzerland. 2. Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland. 3. Faculty of Health Sciences, University of Malta, Msida, Malta. 4. S3 Global, Glasgow, UK. 5. NHS Education for Scotland, Edinburgh, UK. 6. Healthcare Communications, Social Media, Cape Town, South Africa. 7. Stanford University Medicine X ePatient Scholar Program, Stanford, CA, USA. 8. NIHR Health Protection Research Unit (HPRU) in HCAIs and AMR at Imperial College London, and Imperial College Healthcare NHS Trust, Infection Prevention and Control, London, UK. 9. Department of Public Health, University of Guadalajara, Jalisco, Mexico. 10. Center for Access & Delivery Research & Evaluation (CADRE), Iowa City Veterans Affairs Health Care System, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA. 11. Basil Strategies, Paris, France. 12. Infection Prevention and Control Consultant, Edmonton, AB, Canada. 13. Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands. 14. Department of Clinical Microbiology and Infectious Diseases, Canisius-Wilhelmina Hospital, Nijmegen, The Netherlands. 15. REshape Center for Innovation, Radboud University Medical Center, Nijmegen, The Netherlands. 16. Infection Control Programme and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, 4 Rue Gabrielle-Perret-Gentil, 1211, Geneva, Switzerland. didier.pittet@hcuge.ch.
Abstract
BACKGROUND: Social media may provide a tool, when coupled with a patient-included™ conference, to enhance the engagement among the general public. We describe authors and potential readers of Twitter content surrounding a patient-included™ scientific congress, the International Consortium for Prevention and Infection Control (ICPIC) 2019. METHODS: Retrospective observational analysis of Twitter users posting with the #ICPIC2019 hashtag during the conference. Tweet authors, overall followers, and active followers were categorized according to their Twitter biographies using unsupervised learning. Diversity of professional backgrounds of Tweet authors and their followers was explored. Network analysis explored connectedness between the reach of authors. RESULTS: In total, 1264 participants attended ICPIC 2019, of which 28 were patients. From September 7 to 16, 2019, we were able to categorize 235'620 (41%) followers linked to 474 (76%) authors. Among authors and followers, respectively 34% and 14% were healthcare workers, 11% and 15% were from industry representatives, 8% and 7% were academic researchers. On average, 23% (range 9-39%) followers belonged to the same categories as authors. Among all followers categorized, only 582/235 620 (0.25%) interacted with original messages, including healthcare workers (37%), global and public health (12%), academic research (11%) and those from industry (11%). Though the similarity between Tweet authors and followers was supported by network analysis, we also observed that non-healthcare workers (including patients) appeared to have more diverse followers. CONCLUSIONS: We observed the participation of numerous Tweet authors and followers from diverse professional backgrounds potentially supporting the benefit of including patients in conferences to reach a more general, non-specialized public.
BACKGROUND: Social media may provide a tool, when coupled with a patient-included™ conference, to enhance the engagement among the general public. We describe authors and potential readers of Twitter content surrounding a patient-included™ scientific congress, the International Consortium for Prevention and Infection Control (ICPIC) 2019. METHODS: Retrospective observational analysis of Twitter users posting with the #ICPIC2019 hashtag during the conference. Tweet authors, overall followers, and active followers were categorized according to their Twitter biographies using unsupervised learning. Diversity of professional backgrounds of Tweet authors and their followers was explored. Network analysis explored connectedness between the reach of authors. RESULTS: In total, 1264 participants attended ICPIC 2019, of which 28 were patients. From September 7 to 16, 2019, we were able to categorize 235'620 (41%) followers linked to 474 (76%) authors. Among authors and followers, respectively 34% and 14% were healthcare workers, 11% and 15% were from industry representatives, 8% and 7% were academic researchers. On average, 23% (range 9-39%) followers belonged to the same categories as authors. Among all followers categorized, only 582/235 620 (0.25%) interacted with original messages, including healthcare workers (37%), global and public health (12%), academic research (11%) and those from industry (11%). Though the similarity between Tweet authors and followers was supported by network analysis, we also observed that non-healthcare workers (including patients) appeared to have more diverse followers. CONCLUSIONS: We observed the participation of numerous Tweet authors and followers from diverse professional backgrounds potentially supporting the benefit of including patients in conferences to reach a more general, non-specialized public.
Entities:
Keywords:
Infection prevention and control; Medical conference; Medtweeter; Patient; Patient participation; Public; Science communication; Social media; Social networking; Tweeter; Twitter
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