Evidence map›Paper›PMID 35178468›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2022

Implementing COVID-19 Simulation Training for Anesthesiology Residents.

Bryant E Hong, Christine C Myo Bui, Yue Ming Huang, Tristan Grogan, Victor F Duval, Maxime Cannesson

Open access · diamondAbstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 1 institution in 1 country.

Bryant E HongResident, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.ORCID 0000-0001-5481-0613
Christine C Myo BuiAssociate Clinical Professor and Associate Residency Program Director, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
Yue Ming HuangInterim Executive Director, UCLA Simulation Center; Associate Adjunct Professor, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
Tristan GroganPrincipal Statistician, Department of Medicine Statistics Core, University of California, Los Angeles, David Geffen School of Medicine.
Victor F DuvalAnesthesiology Liaison and Lead Instructor, UCLA Simulation Center; Associate Clinical Professor, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
Maxime CannessonProfessor and Chair, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the COVID-19 pandemic, anesthesiology residents faced increased risk of exposure to SARS-CoV-2 while performing aerosolizing procedures. We developed an airway simulation on the out-of-operating-room management of COVID-19 patients. Methods: A 90-minute simulation focused on caring for a 45-year-old COVID-19 patient provided training in donning and doffing personal protective equipment, intubation, management of postinduction hypotension, management of ICU ventilators, treatment strategies for acute respiratory distress syndrome (ARDS), interpersonal communication, and resource management. Presimulation, postsimulation, and 3-months postsimulation questionnaires measured changes in confidence, knowledge, and clinical practice. Statistical analysis was completed using related-samples Wilcoxon signed rank tests. Results: Twenty-four residents participated in the simulation. Questionnaire response rates were 100% presimulation and postsimulation and 88% 3-months postsimulation. Confidence scores (1 = Discussion: This simulation is a safe, effective method of providing the experiential training necessary to care for actual COVID-19 patients during an active pandemic.

Indexed as

AnesthesiologyCOVID-19Simulation TrainingHumansMiddle AgedPandemicsSARS-CoV-2Airway ManagementAnesthesiologyCOVID-19Editor's ChoiceHigh-Fidelity Simulation TrainingPersonal Protective EquipmentSimulation

Identifiers

PMID35178468
PMCPMC8801548
OpenAlexW4210572771

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.