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


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
01 12 2019
Historique:
entrez: 4 12 2019
pubmed: 4 12 2019
medline: 29 10 2020
Statut: epublish

Résumé

Many 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. AAC professionals answered a discrete choice experiment survey with AAC system and child-related attributes, where participants chose an AAC system for a child vignette. The survey was administered online in the UK. 155 UK-based AAC professionals were recruited between 20 October 2017 and 4 March 2018. The 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. Significant 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. AAC 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.

Identifiants

pubmed: 31791963
pii: bmjopen-2019-030274
doi: 10.1136/bmjopen-2019-030274
pmc: PMC6924798
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e030274

Subventions

Organisme : Department of Health
ID : 14/70/153
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Edward J D Webb (EJD)

Leeds Institute of Health Sciences, University of Leeds, Leeds, UK e.j.d.webb@leeds.ac.uk.
Choice Modelling Centre, University of Leeds, Leeds, UK.

Yvonne Lynch (Y)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.

David Meads (D)

Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Choice Modelling Centre, University of Leeds, Leeds, UK.

Simon Judge (S)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.
Barnsley Assistive Technology Team, Barnsley Hospital NHS Foundation Trust, Barnsley, South Yorkshire, UK.

Nicola Randall (N)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.
Barnsley Assistive Technology Team, Barnsley Hospital NHS Foundation Trust, Barnsley, South Yorkshire, UK.

Juliet Goldbart (J)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.

Stuart Meredith (S)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.

Liz Moulam (L)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.

Stephane Hess (S)

Choice Modelling Centre, University of Leeds, Leeds, UK.
Institute of Transport Studies, University of Leeds, Leeds, UK.

Janice Murray (J)

Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, Greater Manchester, UK.

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