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Finding the best fit: examining the decision-making of augmentative and alternative communication professionals in the UK using a discrete choice experiment

Authors :
Janice Murray
Nicola Randall
Simon Judge
Edward J.D. Webb
Liz Moulam
David Meads
Stephane Hess
Yvonne Lynch
Juliet Goldbart
Stuart Meredith
Source :
BMJ Open
Publication Year :
2019
Publisher :
BMJ, 2019.

Abstract

ObjectivesMany children with varied disabilities, for example, cerebral palsy, autism, can benefit from augmentative and alternative communication (AAC) systems. However, little is known about professionals’ decision-making when recommending symbol based AAC systems for children. This study examines AAC professionals’ preferences for attributes of AAC systems and how they interact with child characteristics.DesignAAC professionals answered a discrete choice experiment survey with AAC system and child-related attributes, where participants chose an AAC system for a child vignette.SettingThe survey was administered online in the UK.Participants155 UK-based AAC professionals were recruited between 20 October 2017 and 4 March 2018.OutcomesThe study outcomes were the preferences of AAC professionals’ as quantified using a mixed logit model, with model selection performed using a step-wise procedure and the Bayesian Information Criterion.ResultsSignificant differences were observed in preferences for AAC system attributes, and large interactions were seen between child attributes included in the child vignettes, for example, participants made more ambitious choices for children who were motivated to communicate using AAC, and predicted to progress in skills and abilities. These characteristics were perceived as relatively more important than language ability and previous AAC experience.ConclusionsAAC professionals make trade-offs between attributes of AAC systems, and these trade-offs change depending on the characteristics of the child for whom the system is being provided.

Details

ISSN :
20446055
Volume :
9
Database :
OpenAIRE
Journal :
BMJ Open
Accession number :
edsair.doi.dedup.....319832cf497413d6ff9a73b549bbe210
Full Text :
https://doi.org/10.1136/bmjopen-2019-030274