Pros and cons of conjoint analysis of discrete choice experiments to define classification and response criteria in rheumatology

Current Opinion in Rheumatology
William J Taylor

Abstract

Conjoint analysis of choice or preference data has been used in marketing for over 40 years but has appeared in healthcare settings much more recently. It may be a useful technique for applications within the rheumatology field. Conjoint analysis in rheumatology contexts has mainly used the approaches implemented in 1000Minds Ltd, Dunedin, New Zealand, Sawtooth Software, Orem UT, USA. Examples include classification criteria, composite response criteria, service prioritization tools and utilities assessment. Limitations imposed by very many attributes can be managed using new techniques. Conjoint analysis studies of classification and response criteria suggest that the assumption of equal weighting of attributes cannot be met, which challenges traditional approaches to composite criteria construction. Weights elicited through choice experiments with experts can derive more accurate classification criteria, than unweighted criteria. Studies that find significant variation in attribute weights for composite response criteria for gout make construction of such criteria problematic. Better understanding of various multiattribute phenomena is likely to increase with increased use of conjoint analysis, especially when the attributes ...Continue Reading

References

Mar 12, 2005·BMJ : British Medical Journal·Victor M MontoriGordon H Guyatt
Jul 14, 2005·Journal of Evaluation in Clinical Practice·Mandy RyanDiane Skåtun
Aug 20, 2010·BMJ : British Medical Journal·Gloria CordobaPeter C Gøtzsche
Oct 5, 2010·Arthritis Care & Research·Avril FitzgeraldTom Noseworthy
Apr 12, 2014·Journal of Clinical Epidemiology·Sindhu R JohnsonDinesh Khanna

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Citations

Jun 28, 2016·Current Rheumatology Reports·Ana Beatriz Vargas-SantosTuhina Neogi

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Software Mentioned

OMERACT
Sawtooth Software
1000Minds
Sawtooth

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