Evidence map›Paper›PMID 32514386›Full record

ArticleAdvances in simulation (London, England)2020

Translational simulation for rapid transformation of health services, using the example of the COVID-19 pandemic preparation.

Victoria Brazil, Belinda Lowe, Leanne Ryan, Rachel Bourke, Clare Scott, Simone Myers, Hellen Kaneko, Jane Schweitzer, Brenton Shanahan

Open access · goldAbstract read
In one paragraph

Article in Advances in simulation (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Newly Developed InterprofessionalJournal of clinical medicine research · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Translational simulation: from description to action.Advances in simulation (London, England) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Simulation Innovation: A Novel Simulation Guide for Building Community Simulation Capacity in Pandemic Preparedness.Simulation in healthcare : journal of the Society for Simulation in Healthcare · 2020
    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

9 authors at 2 institutions in 1 country.

Victoria BrazilFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.ORCID 0000-0001-9103-2507
Belinda LoweFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.
Leanne RyanDepartment of Anaesthesia, Gold Coast Hospital and Health Service, Southport, Australia.
Rachel BourkeDepartment of Anaesthesia, Gold Coast Hospital and Health Service, Southport, Australia.
Clare ScottSimulation Service, Gold Coast Hospital and Health Service, Southport, Australia.
Simone MyersSimulation Service, Gold Coast Hospital and Health Service, Southport, Australia.
Hellen KanekoSimulation Service, Gold Coast Hospital and Health Service, Southport, Australia.
Jane SchweitzerSimulation Service, Gold Coast Hospital and Health Service, Southport, Australia.
Brenton ShanahanSimulation Service, Gold Coast Hospital and Health Service, Southport, Australia.
Gold Coast Hospital · AUBond University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare simulation has significant potential for helping health services to deal with the COVID-19 pandemic. Rapid changes to care pathways and processes needed for protection of staff and patients may be facilitated by a translational simulation approach-diagnosing changes needed, developing and testing new processes and then embedding new systems and teamwork through training. However, there are also practical constraints on running in situ simulations during a pandemic-the need for physical distancing, rigorous infection control for manikins and training equipment and awareness of heightened anxiety among simulation participants. We describe our institution's simulation strategy for COVID-19 preparation and reflect on the lessons learned-for simulation programs and for health services seeking to utilise translational simulation during and beyond the COVID-19 pandemic. We offer practical suggestions for a translational simulation strategy and simulation delivery within pandemic constraints. We also suggest simulation programs develop robust strategies, governance and relationships for managing change within institutions-balancing clinician engagement, systems engineering expertise and the power of translational simulation for diagnosing, testing and embedding changes.

Indexed as

COVID-19HealthcarePandemicTranslational simulation

Identifiers

PMID32514386
PMCPMC7267758
OpenAlexW3033844614

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.