The use of technology in the management of children with phonological delay and adults with acquired dysarthria: A UK survey of current speech-language pathology practice.


Journal

International journal of speech-language pathology
ISSN: 1754-9515
Titre abrégé: Int J Speech Lang Pathol
Pays: England
ID NLM: 101320232

Informations de publication

Date de publication:
04 2021
Historique:
pubmed: 16 5 2020
medline: 26 10 2021
entrez: 16 5 2020
Statut: ppublish

Résumé

Technology is increasingly important for the speech-language pathology profession, but little is currently known about its use by clinicians. This study aimed to determine (i) the types of technology that speech-language pathologists (SLPs) in the UK have access to and use in practice and (ii) the barriers they encounter when assessing and treating adults with acquired dysarthria and children with phonological delay. UK SLPs were invited to complete two online surveys covering device availability, the use of technology for the assessment and treatment of acquired dysarthria and phonological delay, and barriers to using technology. Results were analysed using descriptive statistics. 126 SLPs completed the surveys. Most respondents had a range of devices available in clinic, including computer and touchscreen devices. Technology was primarily used for treatment to engage clients, provide direct feedback in sessions and encourage home practice. Reported key barriers include lack of knowledge and training, and technical support issues. The use of technology in UK clinical practice varies widely, and technology adoption is hampered by various barriers. Findings indicate a need for more collaborative work between SLPs, technologists and policy-makers to develop the evidence-base for technology use in the management of acquired dysarthria and phonological delay.

Identifiants

pubmed: 32408766
doi: 10.1080/17549507.2020.1750700
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-154

Auteurs

Anja Kuschmann (A)

School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Revathy Nayar (R)

Department of Computer and Information Science, University of Strathclyde, Glasgow, UK.

Anja Lowit (A)

School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Mark Dunlop (M)

Department of Computer and Information Science, University of Strathclyde, Glasgow, UK.

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Classifications MeSH