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Reflective analysis in radiography research: Methodological foundations and reporting guidance.

S Chau1, J L Ago2, H Kerr1

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Radiography (London, England : 1995)
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Summary
This summary is machine-generated.

Reflective analysis offers a structured qualitative method for exploring complex radiography practice, professional judgment, and ethical issues. This research defines the method and introduces the Reflective Analysis for Radiography (RAD-RA) framework for rigorous inquiry.

Keywords:
Qualitative methodRadiographyReflective analysisReflexivityResearch methodology

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Area of Science:

  • Qualitative research methodology
  • Radiography practice and education
  • Professional ethics and judgment

Background:

  • Quantitative research dominates radiography, limiting exploration of complex practice-based phenomena.
  • Reflective analysis is underdefined in radiography, causing inconsistent application and reporting.
  • A need exists for a structured qualitative method to address practice-based challenges.

Purpose of the Study:

  • To establish reflective analysis as a recognized qualitative research method in radiography.
  • To define its epistemic foundations, analytic procedures, and reporting requirements.
  • To distinguish it from reflective writing for learning and develop a framework for its application.

Main Methods:

  • Methodological synthesis of qualitative research literature, reflective practice theory, and radiography scholarship.
  • Analysis of 24 radiography studies to identify common qualitative approaches.
  • Development of a seven-stage analytic workflow (RAD-RA) and reporting guidance.

Main Results:

  • Reflexive thematic analysis was the most common approach in radiography literature (n=15).
  • Reflective analysis is defined as a qualitative method using documented first-person experience for practice-facing insights.
  • The RAD-RA framework and discipline-specific reporting guidance were developed.

Conclusions:

  • Reflective analysis provides a structured qualitative approach for complex radiography practice, education, and decision-making.
  • The RAD-RA framework ensures rigorous, transparent, and accountable reflective research.
  • This method is crucial for examining AI integration in radiography and its practice implications.