A sequential mixed-methods design for role extension research in radiography: Methodological Insights from a
B Ofori-Manteaw1, K Dzefi-Tettey2, E K Ofori3
1Medical Radiation Science Discipline, Faculty of Science and Health, Charles Sturt University, Wagga Wagga, Australia; Department of Medical Imaging, University of Health and Allied Sciences, Ho, Ghana.
Radiography (London, England : 1995)
|February 25, 2026
Summary
This study developed a validated Preliminary Image Evaluation (PIE) framework for radiographers in Ghana using a mixed methods approach. This framework addresses radiologist shortages in resource-constrained settings, supporting workforce development and education reform.
Area of Science:
- Radiography and Medical Imaging
- Health Workforce Research
- Implementation Science
Background:
- Radiographer role extension in image interpretation is crucial globally, especially in low-resource settings facing radiologist shortages.
- Limited guidance exists for designing complex implementation research on radiographer role extension.
- This paper details a four-phase sequential mixed methods design used to develop and validate a Preliminary Image Evaluation (PIE) framework for radiographers in Ghana.
Purpose of the Study:
- To outline and reflect on the methodological design and integration strategies for a mixed methods study on radiographer role extension.
- To develop and validate a context-specific framework for Preliminary Image Evaluation (PIE) by radiographers in Ghana.
- To provide a methodological model for designing contextually responsive workforce research in radiography.
Main Methods:
- A sequential mixed methods design incorporating qualitative interviews, online surveys, image interpretation tests, curriculum analysis, and a Delphi process.
- Reflective account focusing on philosophical positioning, analytical choices, and integration logic.
- Stakeholder engagement throughout the research process.
Main Results:
- Sequential integration of diverse data types (qualitative, quantitative, documentary, performance-based) facilitated knowledge building and tool refinement.
- The mixed methods design ensured alignment across data strands and enhanced interpretive trustworthiness.
- A validated PIE framework, tailored for resource-constrained environments, was successfully developed, with stakeholder engagement ensuring contextual relevance.
Conclusions:
- Methodological diversity and purposeful integration are effective for addressing complex health workforce issues.
- Mixed methods research can yield sustainable education reform, workforce development, and policy alignment in radiography.
- The study provides a transferable methodological model for designing actionable, policy-relevant research on radiographer role extension.
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