Pros and cons of conjoint analysis of discrete choice experiments to define classification and response criteria in rheumatology
- PMID: 26780423
- DOI: 10.1097/BOR.0000000000000259
Pros and cons of conjoint analysis of discrete choice experiments to define classification and response criteria in rheumatology
Abstract
Purpose of review: 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.
Recent findings: 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.
Summary: Better understanding of various multiattribute phenomena is likely to increase with increased use of conjoint analysis, especially when the attributes concern individual perceptions or opinions. In addition to classification criteria, some applications for conjoint analysis that are emerging in rheumatology include prioritization tools, remission criteria, and utilities for life areas.
Similar articles
-
Relative urgency for referral from primary care to rheumatologists: the Priority Referral Score.Arthritis Care Res (Hoboken). 2011 Feb;63(2):231-9. doi: 10.1002/acr.20366. Arthritis Care Res (Hoboken). 2011. PMID: 20890984
-
Development of classification and response criteria for rheumatic diseases.Arthritis Rheum. 2006 Jun 15;55(3):348-52. doi: 10.1002/art.22003. Arthritis Rheum. 2006. PMID: 16739201
-
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.Value Health. 2013 Jan-Feb;16(1):3-13. doi: 10.1016/j.jval.2012.08.2223. Value Health. 2013. PMID: 23337210
-
Conjoint analysis for environmental evaluation--a review of methods and applications.Environ Sci Pollut Res Int. 2008 May;15(3):244-57. doi: 10.1065/espr2008.02.479. Environ Sci Pollut Res Int. 2008. PMID: 18504844 Review.
-
Pilot study of a hierarchical Bayes method for utility estimation in a choice-based conjoint analysis of prescription benefit plans including medication therapy management services.Res Social Adm Pharm. 2008 Sep;4(3):218-30. doi: 10.1016/j.sapharm.2007.08.002. Res Social Adm Pharm. 2008. PMID: 18794033
Cited by
-
Conjoint Analysis: A Research Method to Study Patients' Preferences and Personalize Care.J Pers Med. 2022 Feb 13;12(2):274. doi: 10.3390/jpm12020274. J Pers Med. 2022. PMID: 35207762 Free PMC article.
-
Application of Conjoint Analysis to Improve Reliability of Dietician Consultation in Pediatric Celiac Disease.Pediatr Qual Saf. 2017 Jun 13;2(4):e029. doi: 10.1097/pq9.0000000000000029. eCollection 2017 Jul-Aug. Pediatr Qual Saf. 2017. PMID: 30229166 Free PMC article.
-
Gout Classification Criteria: Update and Implications.Curr Rheumatol Rep. 2016 Jul;18(7):46. doi: 10.1007/s11926-016-0594-8. Curr Rheumatol Rep. 2016. PMID: 27342957 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous
