Evidence map›Paper›PMID 32459793›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

Just-in-Time Simulation to Guide Workflow Design for Coronavirus Disease 2019 Difficult Airway Management.

Rodrigo J Daly Guris, Anushree Doshi, Donald L Boyer, Grace Good, Harshad G Gurnaney, Samuel Rosenblatt, Nancy McGowan, Keith Widmeier, Mizue Kishida, Vinay Nadkarni and 2 more

Open access · greenAbstract readCase Reports
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  4. A Newly Developed InterprofessionalJournal of clinical medicine research · 2022
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  5. Simulathon 2020: Integrating Simulation Period Prevalence Methodology Into the COVID-19 Disaster Management Cycle in India.Simulation in healthcare : journal of the Society for Simulation in Healthcare · 2022
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  9. Simulation: Keeping Pace With Pandemics.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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Rodrigo J Daly GurisDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Anushree DoshiDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Donald L BoyerDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Grace GoodSimulation Center, The Children's Hospital of Philadelphia, Philadelphia, PA.
Harshad G GurnaneyDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Samuel RosenblattDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Nancy McGowanDepartment of Respiratory Therapy, The Children's Hospital of Philadelphia, Philadelphia, PA.
Keith WidmeierSimulation Center, The Children's Hospital of Philadelphia, Philadelphia, PA.
Mizue KishidaSimulation Center, The Children's Hospital of Philadelphia, Philadelphia, PA.
Vinay NadkarniDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Akira NishisakiDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Heather A WolfeDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, The University of Pennsylvania Perlman School of Medicine, Philadelphia, PA.
Children's Hospital of Philadelphia · US

Funding

Improving the Safety of Pediatric Tracheal Intubations in ICUs with Apneic Oxygenation and Video LaryngoscopesR18HS024511 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI NISHISAKI, AKIRA · 2016 to 2019
$996k
Improving safety and quality of tracheal intubations in neonatal ICUsR21HD089151 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI NISHISAKI, AKIRA · 2017 to 2018
$470k
Quality of bag mask ventilation in critically ill childrenR03HS026939 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI NISHISAKI, AKIRA · 2019 to 2019
$100k
AHRQ HHS R03 HS026939AHRQ HHS R18 HS024511NICHD NIH HHS R21 HD089151
6 · The paper itself

Abstract

objectivesThe coronavirus disease 2019 pandemic has required that hospitals rapidly adapt workflows and processes to limit disease spread and optimize the care of critically ill children. DESIGN AND

settingAs part of our institution's coronavirus disease 2019 critical care workflow design process, we developed and conducted a number of simulation exercises, increasing in complexity, progressing to intubation wearing personal protective equipment, and culminating in activation of our difficult airway team for an airway emergency. PATIENTS AND

interventionsIn situ simulations were used to identify and rework potential failure points to generate guidance for optimal airway management in coronavirus disease 2019 suspected or positive children. Subsequent to this high-realism difficult airway simulation was a real-life difficult airway event in a patient suspected of coronavirus disease 2019 less than 12 hours later, validating potential failure points and effectiveness of rapidly generated guidance. MEASUREMENTS AND MAIN

resultsA number of potential workflow challenges were identified during tabletop and physical in situ manikin-based simulations. Experienced clinicians served as participants, debriefed, and provided feedback that was incorporated into local site clinical pathways, job aids, and suggested practices. Clinical management of an actual suspected coronavirus disease 2019 patient with difficult airway demonstrated very similar success and anticipated failure points. Following debriefing and assembly of a success/failure grid, a coronavirus disease 2019 airway bundle template was created using these simulations and clinical experiences for others to adapt to their sites.

conclusionsIntegration of tabletop planning, in situ simulations, and debriefing of real coronavirus disease 2019 cases can enhance planning, training, job aids, and feasible policies/procedures that address human factors, team communication, equipment choice, and patient/provider safety in the coronavirus disease 2019 pandemic era.

Indexed as

WorkflowBetacoronavirusCoronavirus InfectionsCOVID-19HumansInservice TrainingIntubation, IntratrachealMalePandemicsPneumonia, ViralSARS-CoV-2Simulation TrainingYoung Adult

Identifiers

PMID32459793
PMCPMC7288785
OpenAlexW3029929686

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.