Using consensus from experts to inform a shared understanding of subjective terms
Joanne Durkin1, Kim Usher2, Debra Jackson3
1School of Health, University of New England, Armidale NSW, Australia.
Consensus methods effectively enhance linguistic clarity in healthcare research when defining subjective terms. This approach, supported by interpretive synthesis, enriches understanding and reduces ambiguity in research concepts.
Area of Science:
- Healthcare Research
- Qualitative Research Methods
- Linguistic Analysis
Background:
- Consensus methods like Delphi studies and nominal group technique are established in healthcare for developing services, processes, and policies.
- Concept analysis and meta-synthesis are increasingly utilized for collective understanding of subjective terms.
- Linguistic clarity is crucial for rigorous healthcare research, particularly when dealing with nuanced or subjective concepts.
Purpose of the Study:
- To evaluate the application of consensus methods for achieving linguistic clarity in healthcare research.
- To explore how consensus methods can be integrated into research designs for subjective term definition.
- To demonstrate the value of consensus methods in refining conceptual understanding within healthcare.
Main Methods:
- Review of existing literature on consensus methods in healthcare research.
- Analysis of the utility of consensus methods for defining subjective terms.
- Development of a sample research design incorporating consensus methods and interpretive synthesis.
Main Results:
- Consensus methods are deemed appropriate for establishing linguistic clarity concerning subjective terms.
- A practical research design example is provided, showcasing the integration of consensus methods.
- Interpretive synthesis, combined with consensus methods, can significantly deepen the understanding of subjective concepts.
Conclusions:
- Effective use of consensus methods enhances the clarity and richness of subjective terms in healthcare research.
- Understanding and achieving linguistic clarity is a vital step for researchers in the healthcare field.
- The proposed approach offers a practical tool for researchers to mitigate ambiguity in subjective terminology.
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