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Using the Delphi expert consensus method in mental health research
Open accessAbstract
Objective: The article gives an introductory overview of the use of the Delphi expert consensus method in mental health research. It explains the rationale for using the method, examines the range of uses to which it has been put in mental health research, and describes the stages of carrying out a Delphi study using examples from the literature. Method: To ascertain the range of uses, a systematic search was carried out in PubMed. The article also examines the implications of ‘wisdom of crowds’ research for how to conduct Delphi studies. Results: The Delphi method is a systematic way of determining expert consensus that is useful for answering questions that are not amenable to experimental and epidemiological methods. The validity of the approach is supported by ‘wisdom of crowds’ research showing that groups can make good judgements under certain conditions. In mental health research, the Delphi method has been used for making estimations where there is incomplete evidence (e.g. What is the global prevalence of dementia?), making predictions (e.g. What types of interactions with a person who is suicidal will reduce their chance of suicide?), determining collective values (e.g. What areas of research should be given greatest priority?) and defining foundational concepts (e.g. How should we define ‘relapse’?). A range of experts have been used in Delphi research, including clinicians, researchers, consumers and caregivers. Conclusion: The Delphi method has a wide range of potential uses in mental health research.
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“Publications suggest that the results of single stakeholder Delphi studies stabilise [44], and achieve moderate replicability, with 20–30 participants [46].”
From Essential Information About Chronobiology and Chronotherapy for the Optimal Care of People With Bipolar Disorders: An Expert Consensus (2026) · cites this paper as [44]
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“The study followed the key elements of the Delphi method [44].”
From Essential Information About Chronobiology and Chronotherapy for the Optimal Care of People With Bipolar Disorders: An Expert Consensus (2026) · cites this paper as [44]
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“There is no gold standard for defining consensus in a Delphi study [44, 47].”
From Essential Information About Chronobiology and Chronotherapy for the Optimal Care of People With Bipolar Disorders: An Expert Consensus (2026) · cites this paper as [44]
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Liang, S., Zhai, Z., Feng, X., Sun, X., Jiao, J., Gao, Y., & Meng, K. (2024) · Figshare · doi:10.6084/m9.figshare.26704776
Wright, J., Chalmers, K., Rossetto, A., Reavley, N. J., Kelly, C. M., & Jorm, A. F. (2024) · Figshare · doi:10.6084/m9.figshare.26680547
Self-citationLlorca, P., Nuss, P., Fakra, É., Alamome, I., Drapier, D., El‐Hage, W., Jardri, R., Mouchabac, S., Rabbani, M., Simon, N., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19918929
Wright, J., Chalmers, K., Rossetto, A., Reavley, N. J., Kelly, C. M., & Jorm, A. F. (2024) · Figshare · doi:10.6084/m9.figshare.26680544
Self-citationLi, W., Jorm, A. F., Wang, Y., Lu, S., He, Y., & Reavley, N. J. (2021) · Figshare · doi:10.6084/m9.figshare.14609042
Self-citationChalmers, K., Rossetto, A., Reavley, N. J., Jorm, A. F., Kitchener, B. A., Kelly, C. M., Morgan, A. J., Bond, K. S., & Cottrill, F. A. (2022) · Figshare · doi:10.6084/m9.figshare.19914918
Self-citationMendes, K. N., Peres, C. H. M., Cerqueira, A. V., Assumpção, T. A., Loch, A. A., & Reavley, N. J. (2022) · Figshare · doi:10.6084/m9.figshare.21427601
Ang, F. J. L., Gandhi, M., Østbye, T., Malhotra, C., Malhotra, R., Chong, P. H., Amin, Z., Chow, C., Tan, T. S. Z., Tewani, K. G., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26690659
Additional file 1 of How best to provide help to bereaved adolescents: a Delphi consensus study
Ross, A., Krysinska, K. E., Rickwood, D., Pirkis, J., & Andriessen, K. (2021) · Figshare · doi:10.6084/m9.figshare.17073435
Grosselli, L., Knappe, S., Baumgärtel, J., Lewitzka, U., & Hoyer, J. (2024) · Figshare · doi:10.6084/m9.figshare.26665063
Chalmers, K., Jorm, A. F., Kelly, C. M., Reavley, N. J., Bond, K. S., Cottrill, F. A., & Wright, J. (2020) · Figshare · doi:10.6084/m9.figshare.13059511
Self-citationWiik, A. B., Doupe, M. B., Bakken, M. S., Kittang, B. R., Jacobsen, F. F., & Førland, O. (2024) · Figshare · doi:10.6084/m9.figshare.25485908
Liang, S., Zhai, Z., Feng, X., Sun, X., Jiao, J., Gao, Y., & Meng, K. (2024) · Figshare · doi:10.6084/m9.figshare.26704779
Wiik, A. B., Doupe, M. B., Bakken, M. S., Kittang, B. R., Jacobsen, F. F., & Førland, O. (2024) · Figshare · doi:10.6084/m9.figshare.25485791
Metadata
- Authors
- Jorm, A. F.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Jorm, Anthony F
- ORCID
- Jorm, Anthony F
- Venue
- Australian & New Zealand Journal of Psychiatry
- Publisher
- SAGE Publications
- Published
- 2015-08-21
- Volume
- 49
- Issue
- 10
- Pages
- 887-897
- ISSN
- 0004-8674 (ISSN-L)
- 1440-1614
- OpenAlex
- W2111751736
- Cited by
- 765
- References
- 55
- Citations by year
- 2026: 81 · 2025: 109 · 2024: 115 · 2023: 82 · 2022: 93 · 2021: 80 · 2020: 67 · 2019: 58 · 2018: 40 · 2017: 20 · 2016: 18 · 2015: 1
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Australian & New Zealand Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- National Health and Medical Research Council
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- Delphi method, expert consensus, mental health research, wisdom of crowds, suicide prevention, research prioritization, relapse definition
- MeSH terms
- Consensus Development Conferences as Topic, Consensus Statements as Topic, Delphi Technique, Humans, Mental Health, Consensus, Biomedical Research
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