Evidence map›Paper›PMID 32459792›Full record

ArticlePediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2020

Using Social Media for Rapid Information Dissemination in a Pandemic: #PedsICU and Coronavirus Disease 2019.

Sapna R Kudchadkar, Christopher L Carroll

Open access · greenAbstract read
In one paragraph

Article in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. COVID-19-related misinformation on social media: a systematic review.Bulletin of the World Health Organization · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. #neoTwitter: evaluation of its use within the neonatal-perinatal community.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Article
  12. The Use of Social Media in Children and Adolescents: Scoping Review on the Potential Risks.International journal of environmental research and public health · 2022
    Article
  13. Observational
  14. Article
  15. Article
  16. Social Media as a Medium for Dermatologic Education.Current dermatology reports · 2022
    Review
  17. Article
  18. Review
  19. Modern Health Journalism and the Impact of Social Media.Journal of Korean medical science · 2021
    Article
  20. Update in Critical Care 2020.American journal of respiratory and critical care medicine · 2021
    Review
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

2 authors at 2 institutions in 1 country.

Sapna R KudchadkarDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Christopher L CarrollDepartment of Pediatrics, Connecticut Children's Medical Center, Hartford, CT.
Connecticut Children's Medical Center · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the impact of a strategy for international collaboration and rapid information dissemination on Twitter among the pediatric critical care community during a global pandemic.

designAnalysis of #PedsICU and coronavirus disease 2019 Twitter data in the Symplur Signals Database between February 1, 2020, and May 1, 2020.

settingSocial media platform Twitter. PATIENTS: None.

interventionsPromotion of the joint usage of #PedsICU and #COVID19 throughout the international pediatric critical care community in tweets relevant to the coronavirus disease 2019 pandemic and pediatric critical care. MEASUREMENTS AND MAIN

resultsWe collected data on all tweets containing the hashtag #PedsICU in addition to those containing both #PedsICU and coronavirus disease 2019 hashtags. Tweets including #PedsICU were shared 49,865 times on six continents between February 1, 2020, and May 1, 2020; between February 1 and March 13, only 8% of #PedsICU tweets included a coronavirus disease 2019 hashtag. After a sharp rise during the week of March 14, 2020, coronavirus disease 2019 content has dominated the #PedsICU conversation on Twitter, comprising 69% of both #PedsICU tweets and impressions (p < 0.001). The most commonly used coronavirus disease 2019 hashtag over the study period was #COVID19 (69%). Proportionately, a greater percentage of #PedsICU tweets including the coronavirus disease 2019 hashtag (vs not) had images or videos (45% vs 41%; p < 0.001). In addition, non-physician healthcare providers were the largest group of users (46%) of the combination of #PedsICU and coronavirus disease 2019 hashtags. The most popular tweets shared on Twitter were open-access resources, including links for updated literature, narrative reviews, and educational videos relevant to coronavirus disease 2019 clinical care. Concurrent hashtags and words in tweets containing #PedsICU and coronavirus disease 2019 hashtags spanned several different disciplines and topics in pediatric critical care.

conclusionTwitter has been used widely for real-time information sharing and collaboration among the international pediatric critical care community during the coronavirus disease 2019 pandemic. Targeted use of #PedsICU and #COVID19 for engagement on Twitter is a conduit to combat misinformation and optimize reach to pediatric critical care stakeholders across the globe when rapid dissemination is needed.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19Critical CareGlobal HealthHumansInformation DisseminationPandemicsPediatricsPneumonia, ViralSARS-CoV-2Social Media

Identifiers

PMID32459792
PMCPMC7255404
OpenAlexW3031745084

What OpenQuestion holds

Textmetadata
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.