Anna MacLeod, Rachel H. Ellaway, Jennifer Cleland

A meta‐study analysing the discourses of discourse analysis in health professions education

  • Education
  • General Medicine
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AbstractIntroductionDiscourse analysis has been used as an approach to conducting research in health professions education (HPE) for many years. However, because there is no one ‘right’ interpretation of or approach to it, quite what discourse analysis is, how it could or should be used, and how it can be appraised are unclear. This ambiguity risks undermining the trustworthiness and coherence of the methodology and any findings it produces.MethodA meta‐study review was conducted to explore the current state of discourse analysis in HPE, to guide researchers engaging using the methodology and to improving methodological, analytical and reporting rigour. Structured searches were conducted, returns were filtered for inclusion and 124 articles critically analysed.ResultsOf 124 included articles, 64 were from medical education, 51 from nursing and 9 were mutli‐disciplinary or from other HPE disciplines. Of 119 articles reporting some sort of data, 50 used documents/written text as the sole data source, while 27 were solely based on interview data. Foucault was the most commonly cited theorist (n = 47), particularly in medical education articles. The quality of articles varied: many did not provide a clear articulation what was meant by discourse, definitions and methodological choices were often misaligned, there was a lack of detail regarding data collection and analysis, and positionality statements and critiques were often underdeveloped or absent.DiscussionSeeking to address these many lacunae, the authors present a framework to facilitate rigorous discourse analysis research and transparent, complete and accurate reporting of the same, to help readers assess the trustworthiness of the findings from discourse analysis in HPE. Scholars are encouraged to reflect more deeply on the applications and practices of discourse analysis, with the ultimate aim of ensuring more breadth and depth when using discourse analysis for understanding and constructing meaning in our field.

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