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How Delphi studies in the health sciences find consensus: a scoping review
Julia Schifano1, Marlen Niederberger2
1Department of Research Methods in Health Promotion and Prevention, Institute for Health Sciences, University of Education Schwäbisch Gmünd, Oberbettringer Straße 200, Schwäbisch Gmünd, 73525, Germany. julia.schifano@ph-gmuend.de.
Delphi studies in health sciences lack methodological reporting, hindering comparability. This review identifies gaps and offers recommendations for quality-assured Delphi study implementation to improve research reliability.
Area of Science:
- Health Sciences Research
- Consensus Methodology
- Healthcare Policy and Practice
Background:
- Delphi studies are crucial in health sciences for achieving consensus, influencing healthcare practices and structures.
- Methodological and systematic documentation of how Delphi studies are conducted is often lacking.
- This scoping review addresses this research gap by analyzing methodological presentations in the literature.
Purpose of the Study:
- To conduct a scoping review of consensus Delphi studies in health sciences.
- To identify shortcomings in the methodological reporting of Delphi studies.
- To derive recommendations for quality-assured implementation of Delphi studies.
Main Methods:
- Systematic literature search of consensus Delphi studies in health sciences (Jan 2018 - Apr 2021).
- Databases searched: Scopus, MEDLINE via PubMed, CINAHL, Epistemonikos.
- Analysis of practical research aspects: expert panel, questionnaire design, and process/feedback design.
Main Results:
- 287 consensus Delphi studies were included; 43% used a modified Delphi approach.
- Expert panels often included diverse professionals; patients were included in ~25% of studies.
- Methodological reporting issues include: 62% did not report analysis methods for open-ended questions; 81% defined consensus as percentage agreement.
Conclusions:
- Significant variations in Delphi study execution complicate assessments and comparisons.
- Methodological inconsistencies can lead to unintended effects and biases in study results.
- Recommendations are provided to enhance comparability and quality assurance in Delphi studies.
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