Attribute Selection for a Discrete Choice Experiment Incorporating a Best-Worst Scaling Survey

Apr 1, 2021, 00:00
10.1016/j.jval.2020.10.025
https://www.valueinhealthjournal.com/article/S1098-3015(20)34512-5/fulltext
Title : Attribute Selection for a Discrete Choice Experiment Incorporating a Best-Worst Scaling Survey
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(20)34512-5&doi=10.1016/j.jval.2020.10.025
First page : 575
Section Title : PREFERENCE-BASED ASSESSMENTS
Open access? : No
Section Order : 575

Objectives

Although literature exists on using qualitative methods to generate potential attributes for a discrete choice experiment (DCE), there is little on selecting which attributes to include. We present a case study in which a best-worst scaling case 1 (BWS-1) survey was used to guide attribute selection for a DCE. The case study’s context was the decision making of professionals around the choice of augmentative and alternative communication (AAC) systems for children with limited natural speech.

Methods

BWS-1 survey attributes were generated from literature reviews and focus groups. DCE attributes were selected from BWS-1 attributes. The selection criteria were: include mostly important attributes; create coherent descriptions of children and AAC systems; address the project’s research aims; have an appropriate respondent burden. Attributes’ importance was judged using BWS-1 relative importance scores.

Results

The BWS-1 survey included 19 child and 18 AAC device/system attributes and was administered to N = 93 AAC professionals. Four child and five device/system attributes were selected for the DCE, administered to N = 155 AAC professionals.

Conclusions

In this case study BWS-1 results were useful in DCE attribute selection. Four recommendations are made for future studies: define selection criteria for DCE attributes a priori; consider the impact participant’s perspective will have on BWS-1 and DCE results; clearly define key terminology at the start of the study and refine it as the study progresses to reflect interim findings; BWS will be useful when there is little existing stated preference work on a topic and/or qualitative work is difficult.

Categories :
  • Literature Review & Synthesis
  • Methodological & Statistical Research
  • Patient-Centered Research
  • Preference Methods
  • Stated Preference & Patient Satisfaction
  • Study Approaches
  • Surveys & Expert Panels
Tags :
  • attribute development
  • attribute selection
  • best-worst scaling
  • discrete choice experiment
  • methodology
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