Listening to people with severe or profound intellectual disabilities: a literature review.
Published In: Learning Disability Practice, 2023, v. 26, n. 2. P. 18 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Martin, Anne-Marie; Hanley, Edina 3 of 3
Abstract
Why you should read this article: • To understand that active listening is a fundamental skill that underpins effective communication with people with intellectual disabilities • To appreciate that listening to the perspectives of people with severe or profound intellectual disabilities is crucial to providing person-centred care • To reflect on how contextual factors such as physical environment and your role in that environment can affect your ability to actively listen to people with intellectual disabilities This article presents a literature review that explored communication partners' experiences of listening or attending to people with severe or profound intellectual disabilities during interactions. Findings suggest that the context in which the interaction takes place, and the role of the communication partner, influences the structure of the interaction. Additionally, an optimal balance between communication partner sensitivity to the person's communication behaviours, and knowledge of the person, is valuable when listening to and attempting to understand what the person is expressing. The authors make recommendations for research, practice and education to support and develop the evidence base and practice in this area of learning disability nursing. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Learning Disability Practice. 2023/04, Vol. 26, Issue 2, p18
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2023
- ISSN:1465-8712
- DOI:10.7748/ldp.2022.e2200
- Accession Number:173147555
- 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.)
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