Literature DB >> 35520998

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

Allistair P McRobert1, Simon J Mercer2, David Raw2, Jeff Goulding2, A Mark Williams3.   

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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Anaesthesia; Decision-making; Medical simulation; Verbal reports

Year:  2017        PMID: 35520998      PMCID: PMC8936673          DOI: 10.1136/bmjstel-2016-000129

Source DB:  PubMed          Journal:  BMJ Simul Technol Enhanc Learn        ISSN: 2056-6697


  22 in total

1.  Pilot ability to anticipate the consequences of flight actions as a function of expertise.

Authors:  Stephanie M Doane; Young Woo Sohn; Mark T Jodlowski
Journal:  Hum Factors       Date:  2004       Impact factor: 2.888

2.  Psychometric characteristics of simulation-based assessment in anaesthesia and accuracy of self-assessed scores.

Authors:  J M Weller; B J Robinson; B Jolly; L M Watterson; M Joseph; S Bajenov; A J Haughton; P D Larsen
Journal:  Anaesthesia       Date:  2005-03       Impact factor: 6.955

Review 3.  Expert performance in nursing: reviewing research on expertise in nursing within the framework of the expert-performance approach.

Authors:  K Anders Ericsson; James Whyte; Paul Ward
Journal:  ANS Adv Nurs Sci       Date:  2007 Jan-Mar       Impact factor: 1.824

4.  Identifying the processes underpinning anticipation and decision-making in a dynamic time-constrained task.

Authors:  André Roca; Paul R Ford; Allistair P McRobert; A Mark Williams
Journal:  Cogn Process       Date:  2011-02-09

Review 5.  Expertise in medicine: using the expert performance approach to improve simulation training.

Authors:  Joe Causer; Paul Barach; A Mark Williams
Journal:  Med Educ       Date:  2014-02       Impact factor: 6.251

6.  Mechanisms underlying skilled anticipation and recognition in a dynamic and temporally constrained domain.

Authors:  Jamie S North; Paul Ward; Anders Ericsson; A Mark Williams
Journal:  Memory       Date:  2011-02-02

7.  The relationship between knowledge and clinical performance in novice and experienced critical care nurses.

Authors:  James Whyte; Paul Ward; David W Eccles
Journal:  Heart Lung       Date:  2009-02-23       Impact factor: 2.210

8.  U.S. boards of nursing and the use of high-fidelity patient simulators in nursing education.

Authors:  Wendy M Nehring
Journal:  J Prof Nurs       Date:  2008 Mar-Apr       Impact factor: 2.104

9.  Cognitions associated with nurse performance: a comparison of concurrent and retrospective verbal reports of nurse performance in a simulated task environment.

Authors:  James Whyte; Eileen Cormier; Roxanne Pickett-Hauber
Journal:  Int J Nurs Stud       Date:  2009-10-28       Impact factor: 5.837

10.  Contextual information influences diagnosis accuracy and decision making in simulated emergency medicine emergencies.

Authors:  Allistair Paul McRobert; Joe Causer; John Vassiliadis; Leonie Watterson; James Kwan; Mark A Williams
Journal:  BMJ Qual Saf       Date:  2013-02-08       Impact factor: 7.035

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