JOURNAL ARTICLE
Communication challenges for people with learning disabilities in the digital age.
Published In: Learning Disability Practice, 2023, v. 26, n. 6. P. 16 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Blair, Joanne 3 of 3
Abstract
Why you should read this article: • To be aware of communication challenges often experienced by people with learning disabilities • To recognise how communication challenges for people with learning disabilities may be compounded by the growing use of digital technology • To consider various communication strategies and tools that you could use to support people with learning disabilities Healthcare provision relies on effective communication, since this can enable information to be shared, develop therapeutic relationships and improve health outcomes. However, many people with learning disabilities experience significant issues with expressive and receptive communication, and these issues are likely to be compounded by the growing use of digital technology. This article outlines factors that affect communication for people with learning disabilities during healthcare encounters, including communication challenges they may experience in relation to accessing health information and using digital technology. The article also explores strategies and tools nurses can implement to address these challenges and ensure effective communication with individuals. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Learning Disability Practice. 2023/12, Vol. 26, Issue 6, p16
- Document Type:Article
- Subject Area:Nursing and Allied Health
- Publication Date:2023
- ISSN:1465-8712
- DOI:10.7748/ldp.2023.e2201
- Accession Number:174199607
- 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.