Webb, E.J.D., Meads, D., Lynch, Y. et al. (7 more authors) (2021) Attribute selection for a discrete choice experiment incorporating a best-worst scaling survey. Value in Health, 24 (4). pp. 575-584. ISSN 1098-3015
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 ISPOR-The Professional Society for Health Economics and Outcomes Research. This is an author produced version of a paper subsequently published in Value in Health. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | attribute development; attribute selection; best-worst scaling; discrete choice experiment; methodology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Feb 2021 07:58 |
Last Modified: | 15 Feb 2022 14:10 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.jval.2020.10.025 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171003 |
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Filename: Attribute selection methodology paper R&R final complete document.pdf
Licence: CC-BY-NC-ND 4.0