Evidence map›Paper›PMID 33491003›Full record

ArticleJournal of the American College of Emergency Physicians open2021

Translating COVID-19 knowledge to practice: Enhancing emergency medicine using the "wisdom of crowds".

Erik J Blutinger, Sam Shahid, Zachary J Jarou, Sandra M Schneider, Christopher S Kang, Mark Rosenberg

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Translating COVID-19 knowledge to practice: Enhancing emergency medicine using the "wisdom of crowds".Journal of the American College of Emergency Physicians open · 2021
    Article
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

6 authors.

Erik J BlutingerDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai 1 Gustave L. Levy Place New York New York USA.
Sam ShahidAmerican College of Emergency Physicians Irving Texas USA.
Zachary J JarouUniversity of Chicago Medicine Section of Emergency Medicine Chicago Illinois USA.
Sandra M SchneiderClinical Affairs American College of Emergency Physicians Dallas Texas USA.
Christopher S KangDepartment of Emergency Medicine, Madigan Army Medical Center Joint Base Lewis-McChord Washington USA.
Mark RosenbergSt Joseph's Health Paterson New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the spring of 2020, emergency physicians found themselves in new, uncharted territory as there were few data available for understanding coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In response, knowledge was being crowd sourced and shared across online platforms. The "wisdom of crowds" is an important vehicle for sharing information and expertise. In this article, we explore concepts related to the social psychology of group decisionmaking and knowledge translation. We then analyze a scenario in which the American College of Emergency Physicians (ACEP), a professional medical society, used the wisdom of crowds (via the EngagED platform) to disseminate clinically relevant information and create a useful resource called the "ACEP COVID-19 Field Guide." We also evaluate the crowd-sourced approach, content, and attributes of EngagED compared to other social media platforms. We conclude that professional organizations can play a more prominent role using the wisdom of crowds for augmenting pandemic response efforts.

Identifiers

PMID33491003
PMCPMC7811368

What OpenQuestion holds

Textmetadata
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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.