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Optimizing the use of expert panel reference diagnoses in diagnostic studies of multidimensional syndromes.
- Source :
- BMC Neurology; 2014, Vol. 14 Issue 1, p1-19, 19p, 2 Diagrams, 3 Charts
- Publication Year :
- 2014
-
Abstract
- Background In the absence of a gold standard, a panel of experts can be invited to assign a reference diagnosis for use in research. Available literature offers limited guidance on assembling and working with an expert panel for this purpose. We aimed to develop a protocol for an expert panel consensus diagnosis and evaluated its applicability in a pilot project. Methods An adjusted Delphi method was used, which started with the assessment of clinical vignettes by 3 experts individually, followed by a consensus discussion meeting to solve diagnostic discrepancies. A panel facilitator ensured that all experts were able to express their views, and encouraged the use of argumentation to arrive at a specific diagnosis, until consensus was reached by all experts. Eleven vignettes of patients suspected of having a primary neurodegenerative disease were presented to the experts. Clinical information was provided stepwise and included medical history, neurological, physical and cognitive function, brain MRI scan, and follow-up assessments over 2 years. After the consensus discussion meeting, the procedure was evaluated by the experts. Results The average degree of consensus for the reference diagnosis increased from 52% after individual assessment of the vignettes to 94% after the consensus discussion meeting. Average confidence in the diagnosis after individual assessment was 85%. This did not increase after the consensus discussion meeting. The process evaluation led to several recommendations for improvement of the protocol. Conclusion A protocol for attaining a reference diagnosis based on expert panel consensus was shown feasible in research practice. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14712377
- Volume :
- 14
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Neurology
- Publication Type :
- Academic Journal
- Accession number :
- 98700597
- Full Text :
- https://doi.org/10.1186/s12883-014-0190-3