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Updated: Mar 19, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
From screening to synthesis: using nvivo to enhance transparency in qualitative evidence synthesis
Catherine Houghton1, Kathy Murphy1, Ben Meehan2
1School of Nursing and Midwifery, National University of Ireland, Galway, Galway, Ireland.
Aims And Objectives:
To explore the experiences and perceptions of healthcare staff caring for people with dementia in the acute setting. This article focuses on the methodological process of conducting framework synthesis using nvivo for each stage of the review: screening, data extraction, synthesis and critical appraisal.
Background:
Qualitative evidence synthesis brings together many research findings in a meaningful way that can be used to guide practice and policy development. For this purpose, synthesis must be conducted in a comprehensive and rigorous way. There has been previous discussion on how using nvivo can assist in enhancing and illustrate the rigorous processes involved.
Design:
Qualitative framework synthesis.
Methods:
Twelve documents, or research reports, based on nine studies, were included for synthesis.
Conclusion:
The benefits of using nvivo are outlined in terms of facilitating teams of researchers to systematically and rigorously synthesise findings. nvivo functions were used to conduct a sensitivity analysis. Some valuable lessons were learned, and these are presented to assist and guide researchers who wish to use similar methods in future.
Relevance To Clinical Practice:
Ultimately, good qualitative evidence synthesis will provide practitioners and policymakers with significant information that will guide decision-making on many aspects of clinical practice. The example provided explored how people with dementia are cared for acute settings.
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