Evidence map›Paper›PMID 34125051›Full record

ArticleThe western journal of emergency medicine2021

Emergency Medicine Influencers' Twitter Use During the COVID-19 Pandemic: A Mixed-methods Analysis.

Maren K Leibowitz, Michael R Scudder, Meghan McCabe, Jennifer L Chan, Matthew R Klein, N Seth Trueger, Danielle M McCarthy

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Article in The western journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maren K LeibowitzNorthwestern University, Department of Emergency Medicine, Chicago, Illinois.
Michael R ScudderVanderbilt University, Nashville, Tennessee.
Meghan McCabeSaint Louis University, St. Louis, Missouri.
Jennifer L ChanNorthwestern University, Department of Emergency Medicine, Chicago, Illinois.
Matthew R KleinNorthwestern University, Department of Emergency Medicine, Chicago, Illinois.
N Seth TruegerNorthwestern University, Department of Emergency Medicine, Chicago, Illinois.
Danielle M McCarthyNorthwestern University, Center for Health Services & Outcomes Research, Department of Emergency Medicine, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this study was to analyze the messages of influential emergency medicine (EM) Twitter users in the United States (US) during the early stages of the coronavirus disease 2019 (COVID-19) global pandemic by characterizing the themes, emotional tones, temporal viewpoints, and depth of engagement with the tweets.

methodsWe performed a retrospective mixed-methods analysis of publicly available Twitter data derived from the publicly available "Coronavirus Tweet IDs" dataset, March 3, 2020-May 1, 2020. Original tweets and modified retweets in the dataset by 50 influential EM Twitter users in the US were analyzed using linguistic software to report the emotional tone and temporal viewpoint. We qualitatively analyzed a 25% random subsample and report themes.

resultsThere were 1315 tweets available in the dataset from 36/50 influential EM Twitter users in the US. The majority of tweets were either positive (455/1315, 34.6%) or neutral (407/1315, 31%) in tone and focused on the present (1009/1315, 76.7%). Qualitative analysis identified six distinct themes, with users most often sharing news or clinical information.

conclusionsDuring the early weeks of the COVID-19 pandemic, influential EM Twitter users in the US delivered mainly positive or neutral messages, most often pertaining to news stories or information directly relating to patient care. The majority of these messages led to engagement by other users. This study underscores how EM influencers can leverage social media in public health outbreaks to bring attention to topics of importance.

Indexed as

COVID-19Emergency MedicineHumansPandemicsPhysiciansRetrospective StudiesSARS-CoV-2Social Media

Identifiers

PMID34125051
PMCPMC8203008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.