Evidence map›Paper›PMID 34901684›Full record

ArticleAEM education and training2021

Cognitive load and processes during chest radiograph interpretation in the emergency department across the spectrum of expertise.

Michael Morra, Heather Braund, Andrew K Hall, Adam Szulewski

Open access · greenAbstract read
In one paragraph

Article in AEM education and training, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Michael MorraSchool of Medicine Queen's University Kingston Ontario Canada.ORCID https://orcid.org/0000-0002-8051-2262
Heather BraundOffice of Professional Development and Educational Scholarship Faculty of Health Sciences Faculty of Education Queen's University Kingston Ontario Canada.ORCID https://orcid.org/0000-0002-9749-7193
Andrew K HallDepartment of Emergency Medicine University of Ottawa Ottawa Ontario Canada.ORCID https://orcid.org/0000-0003-1227-5397
Adam SzulewskiDepartments of Emergency Medicine and Psychology Kingston Health Sciences Centre Queen's University Kingston Ontario Canada.ORCID https://orcid.org/0000-0002-3076-6221
Queen's University · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the emergency department (ED), chest radiographs (CXRs) provide essential information for clinical diagnostic reasoning. Errors in interpretation by emergency physicians can lead to negative patient outcomes. To aid in teaching this important skill, an understanding of cognitive processes and cognitive load (CL) in CXR interpretation in emergency medicine (EM) personnel is warranted.

methodsThis study adopted a concurrent mixed-methods research design. Participant groups included medical students (M), junior (J) and senior (S) EM residents, and attending emergency physicians (P) in the ED at an academic hospital. To elucidate cognitive processes, a real-time cognitive task analysis during CXR interpretation was performed. Interviews were audio recorded, transcribed verbatim, and analyzed thematically. The interview was followed by a questionnaire, where participants rated their CL, stress, and confidence level.

resultsLevels of CL (M vs. S and M vs. P, p = 0.002; J vs. S, p

conclusionThis study characterized differences in cognition that led to increased CL, stress, and lower level of confidence in EM learners during CXR interpretation and provided insight into expertise development in this important skill.

Identifiers

PMID34901684
PMCPMC8637309
OpenAlexW3201457795

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.