Assessing health professionals’ communication through role-play: An interactional analysis of simulated versus actual general practice consultations

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Abstract

Simulations, in which healthcare professionals are observed in dialogue with role-played patients, are widely used for assessing professional skills. Medical education research suggests simulations should be as authentic as possible, but there remains a lack of linguistic research into how far such settings authentically reproduce talk. This article presents an analysis of a corpus of general practice simulations in the United Kingdom, comparing this to a dataset of real-life general practitioner (GP) consultations. Combining corpus linguistic and conversation analytic methodologies, key interactional features of the simulations are identified, particularly those associated with successful/unsuccessful performance in terms of the examiner’s grading. The corpus analysis identifies various forms of the phrase ‘tell me more about’ to occur significantly more frequently in the simulations compared to real GP consultations, typically in the opening sequences and most frequently in successful cases. It falls to a conversation analysis of the data, examining this phrase within the interactional context of these opening sequences, to better understand the actions it performs. Successful candidates in the simulations are found to perform a consistent sequential pattern, often incorporating this phrase. Although simulated, these interactions have real professional consequences for those being assessed. Linguistic findings about what constitutes successful interaction or differences to real-life practice therefore have important implications for professional education and assessment.
Original languageEnglish
Pages (from-to)109-134
Number of pages26
JournalDiscourse Studies
Volume21
Issue number2
Early online date29 Oct 2018
DOIs
Publication statusPublished - 1 Apr 2019

Bibliographical note

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Keywords

  • Applied linguistics
  • assessment
  • communication skills
  • conversation analysis
  • corpus linguistics
  • general practice
  • health communication
  • primary care consultations
  • simulated interaction
  • simulation
  • standardization

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