Realist analysis of qualitative data in health professions education research.

Background: Qualitative realist analysis is gaining in popularity in health professions education research (HPER) as part of theory‐driven program evaluation. Although realist approaches such as syntheses and evaluations typically advocate mixed methods, qualitative data dominate currently. Various...

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Publicado en:Medical Education Vol. 59; no. 5; pp. 503 - 519
Autores principales: Rees, Charlotte E., Proctor, Dominic W., Nguyen, Van N. B., Ottrey, Ella, Mattick, Karen L.
Formato: case study review tables/charts Journal Article
Publicado: Wiley-Blackwell May2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2025
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      pub: Wiley-Blackwell
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        atl: Realist analysis of qualitative data in health professions education research.
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        au:
          Rees, Charlotte E.
          Proctor, Dominic W.
          Nguyen, Van N. B.
          Ottrey, Ella
          Mattick, Karen L.
        affil: School of Health Sciences, College of Health, Medicine & Wellbeing, The University of Newcastle, Callaghan New South Wales,, Australia
      sug:
        subj:
          Education, Medical, Continuing
          Education Research
          Health Personnel Education
          Program Evaluation
          Qualitative Studies Evaluation
          Coding
          Data Collection
          Data Analysis
          Conceptual Framework
          Reflection
          Study Design
          Models, Theoretical
      ab: Background: Qualitative realist analysis is gaining in popularity in health professions education research (HPER) as part of theory‐driven program evaluation. Although realist approaches such as syntheses and evaluations typically advocate mixed methods, qualitative data dominate currently. Various forms of qualitative analysis have been articulated in HPER, yet realist analysis has not. Although realist analysis is interpretive, it moves beyond description to explain generative causation employing retroductive theorising. Ultimately, it attempts to build and/or 'test' (confirm, refute or refine) theory about how, why, for whom, when and to what extent programs work using the context‐mechanism‐outcome configuration (CMOC) heuristic. This paper aims to help readers better critique, conduct and report qualitative realist analysis. Realist Analysis Methods: We describe four fundamentals of qualitative realist analysis: (1) simultaneous data collection/analysis; (2) retroductive theorising; (3) configurational analysis (involving iterative phases of identifying CMOCs, synthesising CMOCs into demi‐regularities and translating demi‐regularities into program theory); and (4) realist analysis quality (relevance, rigour, richness). Next, we provide a critical analysis of realist analyses employed in 15 HPER outputs—three evaluations and 12 syntheses. Finally, drawing on our understandings of realist literature and our experiences of conducting qualitative realist analysis (both evaluations and syntheses), we articulate three common analysis challenges (coding, consolidation and mapping) and strategies to mitigate these challenges (teamwork, reflexivity and consultation, use of data analysis software and graphical representations of program theory). Conclusions: Based on our critical analysis of the literature and realist analysis experiences, we encourage researchers, peer reviewers and readers to better understand qualitative realist analysis fundamentals. Realist analysts should draw on relevant realist reporting standards and literature on realist analysis to improve the quality and reporting of realist analysis. Through better understanding the common challenges and mitigation strategies for realist analysis, we can collectively improve the quality of realist analysis in HPER. Interested in realist analysis of qualitative data? Then check out this new Focus on Research Methods paper aimed to help researchers better critique, conduct and report qualitative realist analysis
      pubtype: Academic Journal
      doctype:
        case study
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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