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1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media

BACKGROUND: Infectious Disease (ID) clinicians increasingly collaborate via social media and have adopted Twitter and the hashtag #IDTwitter for community-wide conversation. We investigated clinicians’ use of #IDTwitter for peer consultation, examining both the utility of responses and how frequentl...

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Autores principales: Boyland, Ryan, Cortes-Penfield, Nicolas W, Marcelin, Jasmine R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752879/
http://dx.doi.org/10.1093/ofid/ofac492.844
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author Boyland, Ryan
Cortes-Penfield, Nicolas W
Marcelin, Jasmine R
author_facet Boyland, Ryan
Cortes-Penfield, Nicolas W
Marcelin, Jasmine R
author_sort Boyland, Ryan
collection PubMed
description BACKGROUND: Infectious Disease (ID) clinicians increasingly collaborate via social media and have adopted Twitter and the hashtag #IDTwitter for community-wide conversation. We investigated clinicians’ use of #IDTwitter for peer consultation, examining both the utility of responses and how frequently discussions risked compromising patient privacy. METHODS: We reviewed English-language posts on www.twitter.com with the hashtag #IDTwitter over a 6-week period ending August 31(st), 2021. We collected posts that we deemed examples of peer consultation, recording the post’s author, topic, engagement produced, and patient information disclosed. Finally, we recorded whether (by consensus) we judged a question meaningfully answered. RESULTS: We identified 108 instances of peer consultation; 91 posts (84%) were consultations about a clinical scenario, 17 (16%) included a specific request for medical literature, and seven (6%) included a request for literature interpretation. Twenty-four posts (22%) contained polls, which received a mean 107 (SD 104) votes. We judged 71% of questions meaningfully answered; of these, 68% received responses including explicit justification or reasoning and 35% included citations of supporting literature. Questions were more likely to be meaningfully answered if they included polls (91.7% vs 65.5%; p=0.01). Receipt of a meaningful answer was not predicted by the questioner’s professional role and follower count, the question topic, or the post’s number of likes and shares. A total 28/108 posts (26%) referenced the care of a specific patient, with details shared including gender (74%), age (26%), radiographic or clinical images (7%), and other potentially identifying data (7%). Patients were stated or implied to be currently under the clinician’s care in 70% of cases, and 61 clinicians (92.4%) had their employer listed in their profile or immediately available via internet search. CONCLUSION: ID clinicians’ peer consultations via #IDTwitter appeared frequently useful, particularly when questions were accompanied by polls. However, most participants sharing patient data were readily identifiable, and best practices to limit sharing of nonessential data and safeguard patient privacy are needed. DISCLOSURES: Jasmine R. Marcelin, MD, Pfizer (Grant reviewer): Honoraria.
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spelling pubmed-97528792022-12-16 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media Boyland, Ryan Cortes-Penfield, Nicolas W Marcelin, Jasmine R Open Forum Infect Dis Abstracts BACKGROUND: Infectious Disease (ID) clinicians increasingly collaborate via social media and have adopted Twitter and the hashtag #IDTwitter for community-wide conversation. We investigated clinicians’ use of #IDTwitter for peer consultation, examining both the utility of responses and how frequently discussions risked compromising patient privacy. METHODS: We reviewed English-language posts on www.twitter.com with the hashtag #IDTwitter over a 6-week period ending August 31(st), 2021. We collected posts that we deemed examples of peer consultation, recording the post’s author, topic, engagement produced, and patient information disclosed. Finally, we recorded whether (by consensus) we judged a question meaningfully answered. RESULTS: We identified 108 instances of peer consultation; 91 posts (84%) were consultations about a clinical scenario, 17 (16%) included a specific request for medical literature, and seven (6%) included a request for literature interpretation. Twenty-four posts (22%) contained polls, which received a mean 107 (SD 104) votes. We judged 71% of questions meaningfully answered; of these, 68% received responses including explicit justification or reasoning and 35% included citations of supporting literature. Questions were more likely to be meaningfully answered if they included polls (91.7% vs 65.5%; p=0.01). Receipt of a meaningful answer was not predicted by the questioner’s professional role and follower count, the question topic, or the post’s number of likes and shares. A total 28/108 posts (26%) referenced the care of a specific patient, with details shared including gender (74%), age (26%), radiographic or clinical images (7%), and other potentially identifying data (7%). Patients were stated or implied to be currently under the clinician’s care in 70% of cases, and 61 clinicians (92.4%) had their employer listed in their profile or immediately available via internet search. CONCLUSION: ID clinicians’ peer consultations via #IDTwitter appeared frequently useful, particularly when questions were accompanied by polls. However, most participants sharing patient data were readily identifiable, and best practices to limit sharing of nonessential data and safeguard patient privacy are needed. DISCLOSURES: Jasmine R. Marcelin, MD, Pfizer (Grant reviewer): Honoraria. Oxford University Press 2022-12-15 /pmc/articles/PMC9752879/ http://dx.doi.org/10.1093/ofid/ofac492.844 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Boyland, Ryan
Cortes-Penfield, Nicolas W
Marcelin, Jasmine R
1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title_full 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title_fullStr 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title_full_unstemmed 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title_short 1003. Curbsiding Twitter: Potential Value and Patient Confidentiality Implications of Infectious Diseases Clinician Peer Consultations via Social Media
title_sort 1003. curbsiding twitter: potential value and patient confidentiality implications of infectious diseases clinician peer consultations via social media
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752879/
http://dx.doi.org/10.1093/ofid/ofac492.844
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