Methodological lineages of concept analysis and mapping of reporting elements in nursing and health-related disciplines: A scoping review protocol
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Sijing Peng1, Min Wang2, Peili Xu3
1School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Introduction:
Concept analysis is widely used in nursing and health-related disciplines to clarify ambiguous constructs, refine disciplinary language and support theory development, instrument construction, education and practice. However, concept analysis is methodologically plural rather than a single uniform method. Different approaches vary in their assumptions, data sources, analytic steps and expected outputs.
Aims:
This scoping review will identify methodological lineages of concept analysis and map reporting elements across nursing and health-related disciplines. It will examine both the cross-lineage applicability and the empirical distribution of candidate reporting elements.
Methods:
The review will follow Joanna Briggs Institute guidance for scoping reviews and will be reported according to the PRISMA extension for Scoping Reviews. Ten English- and Chinese-language databases will be searched from inception to the final search date, supplemented by targeted citation searching for foundational methodological sources. Two reviewers will independently screen records after calibration on a purposively enriched set of 25 records containing likely inclusions, likely exclusions and borderline records. Formal screening will begin after both overall raw agreement and positive agreement for the include/uncertain decision reach at least 75%; raw agreement and Cohen's kappa will be reported before consensus. Data will be charted using a piloted form and synthesised descriptively through deductive-inductive framework analysis. Reporting elements will be mapped by both methodological applicability and empirical distribution.
Conclusion:
The review will provide a structured account of concept analysis methods and reporting elements. It represents an evidence-mapping and candidate-item generation stage and will not itself produce a formal reporting guideline. The protocol is registered on the Open Science Framework: https://osf.io/xru7f.
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