2016
DOI: 10.1097/bor.0000000000000259
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 13 publications
0
5
0
Order By: Relevance
“…Conjoint analysis has been used with success in a variety of settings including market research, health care, and environmental evaluations. 7 9 , 17 , 18 As our initial provider survey indicated several competing attributes, we used a conjoint analysis to influence the redesign of follow-up care for newly diagnosed celiac disease patients.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Conjoint analysis has been used with success in a variety of settings including market research, health care, and environmental evaluations. 7 9 , 17 , 18 As our initial provider survey indicated several competing attributes, we used a conjoint analysis to influence the redesign of follow-up care for newly diagnosed celiac disease patients.…”
Section: Discussionmentioning
confidence: 99%
“… 7 In recent years, conjoint analysis has been applied to determine health care providers’ and/or patients’ preferences, with the aim of optimizing resource allocation. 8 , 9 The International Society for Pharmacoeconomics and Outcomes Research established a conjoint analysis task force with a goal of identifying good research practices for conjoint-analysis applications in health care. 10 The task force presented its findings in a 10-item checklist including development of research questions, attributes/levels, construction of tasks, experimental design, preference elicitation, instrument design, data collection, statistical analysis, results, and study presentation.…”
Section: Introductionmentioning
confidence: 99%
“…When it comes to an employee, it is widely believed that a motivated employee can provide higher results and lead to the successful completion of projects and tasks (Lazarova, 2020). In most cases, motivation comes from some need that leads to behavior that can generate several types of rewards (extrinsic and intrinsic) when these needs are met (Taylor & Alla, 2016). Intrinsic rewards come from within the individual, while extrinsic rewards are related to awards given by others (Shanks, 2007).…”
Section: Motivationmentioning
confidence: 99%
“…Even though conjoint analysis has been used for more than 40 years, mostly in marketing studies, its use in rheumatology is much more recent, though still not well-known among physicians [47•, 48, 49]. The methodology builds upon the assumption that different features of the same product or concept—for example, a disease—do not have the same relevance and therefore should not have equal weights.…”
Section: Selection and Weighting Of Itemsmentioning
confidence: 99%