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The Delphi technique in health sciences education research

de Villiers, Marietjie R., de Villiers, Pierre J.T., Kent, Athol P.·2005·Medical Teacher

Abstract

The Delphi technique is a method of collecting opinion on a particular research question. It is based on the premise that pooled intelligence enhances individual judgement and captures the collective opinion of a group of experts without being physically assembled. The conventional Delphi uses a series of questionnaires to generate expert opinion in an anonymous fashion and takes place over a series of rounds. The technique is becoming a popular strategy that straddles both quantitative and qualitative realms. Issues that are critical to its validity are the development of the questionnaire; definition of consensus and how to interpret non-consensus; criteria for and selection of the expert panel; sample size; and data analysis. The authors used the Delphi technique to assist with making recommendations regarding education and training for medical practitioners working in district hospitals in South Africa. The objective of this Delphi was to obtain consensus opinion on content and methods relating to the maintenance of competence of these doctors. They believe the experience gained from their work may be useful for other health science education researchers wishing to use the Delphi method.

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Metadata

Authors
de Villiers, M. R., de Villiers, P. J. T., & Kent, A. P.
Venue
Medical Teacher
Published
2005-11
Volume
27
Issue
7
Pages
639-643
ISSN
  • 0142-159X (ISSN-L)
  • 1466-187X
OpenAlex
W2063240798
Cited by
1,006
References
1
FWCI
25.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Delphi technique in health sciences education research. https://app.cochat.ai/papers/10.1080/13611260500069947
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de Villiers, M. R., de Villiers, P. J. T., & Kent, A. P. (2005). The Delphi technique in health sciences education research. Medical Teacher. https://doi.org/10.1080/13611260500069947

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.