Webb, EJD orcid.org/0000-0001-7918-839X, Meads, D orcid.org/0000-0003-1369-2483, Lynch, Y et al. (7 more authors) (2019) What’s important in AAC decision making for children? Evidence from a best–worst scaling survey. Augmentative and Alternative Communication, 35 (2). pp. 80-94. ISSN 0743-4618
Abstract
The choice of which AAC device to provide for a child can have long lasting consequences, but little is known about the decision-making of AAC professionals who make recommendations in this context. A survey was conducted with AAC professionals using best–worst scaling methodology examining what characteristics of children and attributes of AAC devices are considered most important in decision-making. A total of 19 child characteristics and 18 device attributes were selected by the authors from lists generated from literature reviews and from focus groups with AAC professionals, people who use AAC, and other stakeholders. The characteristics and attributes were used to develop two best–worst scaling surveys that were administered to 93 AAC professionals based in the UK. The relative importance of characteristics/attributes was estimated using statistical modelling. Child characteristics related to language and communication, cognitive and learning abilities, and personality traits were generally found to be more important than physical features. Communication, language, and interface-related AAC device attributes were generally more important than hardware and physical attributes. Respondent demographics (e.g., experience, professional background) did not seem to influence the importance assigned to device characteristics or attributes. Findings may inform both future quantitative research into decision-making and efforts to improve decision-making in practice.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 International Society for Augmentative and Alternative Communication. This is an Accepted Manuscript of an article published by Taylor & Francis in Augmentative and Alternative Communication on 15 Feb 2019, available online: https://doi.org/10.1080/07434618.2018.1561750. |
Keywords: | Clinical decision-making; AAC recommendations; best–worst scaling; stated preference |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Choice Modelling The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Funding Information: | Funder Grant number EU - European Union 615596 NIHR National Inst Health Research 14/70/153 |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Feb 2019 11:21 |
Last Modified: | 15 Feb 2020 01:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/07434618.2018.1561750 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142662 |