Evidence map›Paper›PMID 35520998›Full record

ArticleBMJ simulation & technology enhanced learning2017

Effect of expertise on diagnosis accuracy, non-technical skills and thought processes during simulated high-fidelity anaesthetist scenarios.

Allistair P McRobert, Simon J Mercer, David Raw, Jeff Goulding, A Mark Williams

Abstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2017. 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

5 authors.

Allistair P McRobertResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, Merseyside, UK.ORCID 0000-0002-0964-7199
Simon J MercerCentre for Simulation and Patient Safety, Aintree University Hospitals NHS Foundation Trust, Merseyside, UK.
David RawCentre for Simulation and Patient Safety, Aintree University Hospitals NHS Foundation Trust, Merseyside, UK.
Jeff GouldingCentre for Simulation and Patient Safety, Aintree University Hospitals NHS Foundation Trust, Merseyside, UK.
A Mark WilliamsDepartment of Health, Kinesiology, and Recreation, The University of Utah, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The expert performance approach can be used to examine expertise during representative field-based tasks, while collecting process-tracing measures such as think-aloud verbal reports. Collecting think-aloud verbal reports provides an insight into the cognitive mechanisms that support performance during tasks. Method: We examined the thought processes and performance of anaesthetists during simulated environments. Verbal reports of thinking and the anaesthetists' non-technical skills (ANTS) were recorded to examine cognitive processes, non-technical behaviours and diagnosis accuracy during fully immersive, high-fidelity medical scenarios. Skilled (n=6) and less skilled (n=9) anaesthetists were instructed to respond to medical scenarios experienced in theatre. Results: Skilled participants demonstrated higher diagnosis accuracy and ANTS scores compared to less skilled participants. Furthermore, skilled participants engaged in deeper thinking and verbalised more evaluation, prediction and deep planning statements. Conclusions: The ability to employ an effective cognitive processing strategy, more efficient non-technical behaviours and superior diagnosis is associated with superior performance in skilled participants.

Indexed as

AnaesthesiaDecision-makingMedical simulationVerbal reports

Identifiers

PMID35520998
PMCPMC8936673

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.