Evidence map›Paper›PMID 33830094›Full record

ArticleAmerican journal of medical quality : the official journal of the American College of Medical Quality

Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care.

Ambrose H Wong, Rami A Ahmed, Jessica M Ray, Humera Khan, Patrick G Hughes, Christopher Eric McCoy, Marc A Auerbach, Paul Barach

Abstract read
In one paragraph

Article in American journal of medical quality : the official journal of the American College of Medical Quality. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  5. Article
  6. Article
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  8. Review
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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

8 authors.

Ambrose H WongDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN Department of Internal Medicine, Central Michigan University College of Medicine, Mount Pleasant, MI Department of Emergency Medicine, Florida Atlantic University College of Medicine, Boca Raton, FL Department of Emergency Medicine, University of California, Irvine, Irvine, CA Department of Pediatrics, Yale School of Medicine, New Haven, CT Department of Emergency Medicine, Yale School of Medicine, New Haven, CT Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI College of Population Health, Thomas Jefferson University, Philadelphia, PA.
Rami A Ahmed
Jessica M Ray
Humera Khan
Patrick G Hughes
Christopher Eric McCoy
Marc A Auerbach
Paul Barach

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

The health care sector has made radical changes to hospital operations and care delivery in response to the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation and human factors to support the Quadruple Aim of health system performance during the COVID-19 era. First, patient safety is enhanced through development and testing of new technologies, equipment, and protocols using laboratory-based and in situ simulation. Second, population health is strengthened through virtual platforms that deliver telehealth and remote simulation that ensure readiness for personnel to deploy to new clinical units. Third, prevention of lost revenue occurs through usability testing of equipment and computer-based simulations to predict system performance and resilience. Finally, simulation supports health worker wellness and satisfaction by identifying optimal work conditions that maximize productivity while protecting staff through preparedness training. Leveraging simulation and human factors will support a resilient and sustainable response to the pandemic in a transformed health care landscape.

Indexed as

Cost SavingsCOVID-19Delivery of Health CareHospital AdministrationHumansJob SatisfactionPandemicsPatient SafetyPopulation HealthQuality Indicators, Health CareSARS-CoV-2Simulation TrainingWorkflow

Identifiers

PMID33830094
PMCPMC8030878

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.