Using verbal and non-verbal communication to support people with learning disabilities.
Published In: Learning Disability Practice, 2023, v. 26, n. 3. P. 33 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Burke, Éilish A; Fleming, Sandra; Doyle, Carmel; Henderson, Karen; Horan, Paul; Keenan, Paul; Byrne, Kathleen 3 of 3
Abstract
Why you should read this article: • To enhance your understanding of the communication needs of people with learning disabilities • To appreciate how non-verbal communication can usefully complement or replace verbal communication • To contribute towards revalidation as part of your 35 hours of CPD (UK readers) • To contribute towards your professional development and local registration renewal requirements (non-UK readers) People with learning disabilities may experience communication difficulties and it is essential for nurses to develop the necessary skills to support them, from being attuned to a person's gestures and vocalisations to using sign language and assistive technologies. Supporting people with learning disabilities involves adopting a person-centred approach to communication, developing a communication passport that describes their communication abilities and needs, and providing written materials in easy-read format. When interacting with people with learning disabilities, nurses can also make effective use of non-verbal communication to complement or replace verbal communication. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Learning Disability Practice. 2023/06, Vol. 26, Issue 3, p33
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2023
- ISSN:1465-8712
- DOI:10.7748/ldp.2022.e2196
- Accession Number:164109515
- Copyright Statement:Copyright of Learning Disability Practice is the property of Royal College of Nursing of the United Kingdom (The) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.