Evidence map›Paper›PMID 35520000›Full record

ArticleBMJ simulation & technology enhanced learning2020

ASPiH Conference 2019 keynote paper. Quality improvement through simulation: a missed opportunity?

Paul O'Connor

Abstract readEditorial
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2020. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Paul O'ConnorIrish Centre for Applied Patient Safety and Simulation and the Discipline of General Practice, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0001-9036-098X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the use of simulation has become more established in the delivery of healthcare education and training, there has been a corresponding increase in healthcare simulation research. Simulation-based research can be divided into research about simulation (answers research questions in which the focus is on simulation itself) and research through simulation (simulation as a method/tool for research). However, there are barriers, particularly for smaller less well-resourced simulation centres, that may prohibit participation in research. Therefore, it is suggested that quality improvement (QI) through simulation may be a pragmatic way in which simulation centres of all sizes can contribute to improving patient care beyond education and training. QI is defined as systematic, data-guided activities designed to bring about immediate, positive changes in the delivery of healthcare. Although not the case in healthcare, other industries routinely used simulation to support QI. For example, in aviation simulation is used to inform the design of the working environment, the appropriate use of technology, to exercise emergency procedures and to 're-fly' flights following an adverse event as part of the mishap investigation. Integrating simulation within healthcare QI can support the development of novel interventions as well helping to address heretofore intractable issues.

Indexed as

patient safetyquality Improvementsimulation

Identifiers

PMID35520000
PMCPMC8936906

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.