Literature DB >> 32967042

Interpretive description: A flexible qualitative methodology for medical education research.

Julie Thompson Burdine1, Sally Thorne2, Gurjit Sandhu1.   

Abstract

BACKGROUND: Qualitative research approaches are increasingly integrated into medical education research to answer relevant questions that quantitative methodologies cannot accommodate. However, researchers have found that traditional qualitative methodological approaches reflect the foundations and objectives of disciplines whose aims are recognizably different from the medical education domain of inquiry (Thorne, 2016, Interpretive description. New York, NY: Routledge). Interpretive description (ID), a widely used qualitative research method within nursing, offers an accessible and theoretically flexible approach to analysing qualitative data within medical education research. ID is an appropriate methodological alternative for medical education research, as it can address complex experiential questions while producing practical outcomes. It allows for the advancement of knowledge surrounding educational experience without sacrificing methodological integrity that long-established qualitative approaches provide.
PURPOSE: In this paper, we present interpretive description as a useful research methodology for qualitative approaches within medical education. We then provide a toolkit for medical education researchers interested in incorporating interpretive description into their study design. We propose a coherent set of strategies for identifying analytical frameworks, sampling, data collection, analysis, rigour and the limitations of ID for medical education research. We conclude by advocating for the interpretive description approach as a viable and flexible methodology for medical education research.
© 2020 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Year:  2020        PMID: 32967042     DOI: 10.1111/medu.14380

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  20 in total

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