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

Research output: Contribution to journalArticle (journal)peer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)43-47
Number of pages5
JournalBMJ Simulation & Technology Enhanced Learning
Volume3
Issue number2
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Anaesthesia
  • Decision-making
  • Medical simulation
  • Verbal reports

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