Evidence map›Paper›PMID 37163264›Full record

ArticleJAMA network open2023

Investigating Social Media to Evaluate Emergency Medicine Physicians' Emotional Well-being During COVID-19.

Anish K Agarwal, Juhi Mittal, Annie Tran, Raina Merchant, Sharath Chandra Guntuku

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Anish K AgarwalPenn Medicine Center for Digital Health, Philadelphia, Pennsylvania.
Juhi MittalComputer and Information Science, University of Pennsylvania, Philadelphia.
Annie TranPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Raina MerchantPenn Medicine Center for Digital Health, Philadelphia, Pennsylvania.
Sharath Chandra GuntukuPenn Medicine Center for Digital Health, Philadelphia, Pennsylvania.
University of Pennsylvania Health System · USUniversity of Pennsylvania · US

Funding

Assessing the effectiveness of a digital platform to support the mental health of healthcare workers in the response and recovery phases of COVID-19R01MH127686 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, RAINA · 2021 to 2023
$3.4M
Investigating and identifying the heterogeneity in COVID-19 misinformation exposure on social media among Black and Rural communities to inform precision public health messagingR01MD018340 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI GUNTUKU, SHARATH CHANDRA · 2022 to 2024
$2.4M
Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data ScienceK24HL157621 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, RAINA · 2021 to 2025
$615k
NHLBI NIH HHS K24 HL157621NIMH NIH HHS R01 MH127686
6 · The paper itself

Abstract

Importance: Emergency medicine (EM) physicians experience tremendous emotional health strain, which has been exacerbated during COVID-19, and many have taken to social media to express themselves. Objective: To analyze social media content from academic EM physicians and resident physicians to investigate changes in content and language as indicators of their emotional well-being. Design, Setting, and Participants: This cross-sectional study used machine learning and natural language processing of Twitter posts from self-described academic EM physicians and resident physicians between March 2018 and March 2022. Participants included academic EM physicians and resident physicians with publicly accessible posts (at least 300 total words across the posts) from the US counties with the top 10 COVID-19 case burdens. Data analysis was performed from June to September 2022. Exposure: Being an EM physician or resident physician who posted on Twitter. Main Outcomes and Measures: Social media content themes during the prepandemic period, during the pandemic, and across the phases of the pandemic were analyzed. Psychological constructs evaluated included anxiety, anger, depression, and loneliness. Positive and negative language sentiment within posts was measured. Results: This study identified 471 physicians with a total of 198 867 posts (mean [SD], 11 403 [18 998] words across posts; median [IQR], 3445 [1100-11 591] words across posts). The top 5 prepandemic themes included free open-access medical education (Cohen d, 0.44; 95% CI, 0.38-0.50), residency education (Cohen d, 0.43; 95% CI, 0.37-0.49), gun violence (Cohen d, 0.37; 95% CI, 0.32-0.44), quality improvement in health care (Cohen d, 0.33; 95% CI, 0.27-0.39), and professional resident associations (Cohen d, 0.33; 95% CI, 0.27-0.39). During the pandemic, themes were significantly related to healthy behaviors during COVID-19 (Cohen d, 0.83; 95% CI, 0.77-0.90), pandemic response (Cohen d, 0.71; 95% CI, 0.65-0.77), vaccines and vaccination (Cohen d, 0.60; 95% CI, 0.53-0.66), unstable housing and homelessness (Cohen d, 0.40; 95% CI, 0.34-0.47), and emotional support for others (Cohen d, 0.40; 95% CI, 0.34-0.46). Across the phases of the pandemic, thematic content within social media posts changed significantly. Compared with the prepandemic period, there was significantly less positive, and concordantly more negative, language used during COVID-19. Estimates of loneliness, anxiety, anger, and depression also increased significantly during COVID-19. Conclusions and Relevance: In this cross-sectional study, key thematic shifts and increases in language related to anxiety, anger, depression, and loneliness were identified in the content posted on social media by academic EM physicians and resident physicians during the pandemic. Social media may provide a real-time and evolving landscape to evaluate thematic content and linguistics related to emotions and sentiment for health care workers.

Indexed as

COVID-19Emergency MedicinePhysiciansSocial MediaCross-Sectional StudiesEmotionsHumansSARS-CoV-2

Identifiers

PMID37163264
PMCPMC10173019
OpenAlexW4376122007

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.