Role of nurses in supporting advance care planning for people living with dementia.
Published In: Nursing Older People, 2025, v. 37, n. 6. P. 34 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Holland, Susan; Miller, Morna; Sheeran, Mary-Anne 3 of 3
Abstract
Why you should read this article: • To understand the benefits and challenges of advance care planning (ACP) for people living with dementia • To recognise the importance of embedding ACP discussions into routine dementia care • 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). Dementia is a life-limiting condition and a leading cause of death in the UK and globally. Advance care planning (ACP) is of particular relevance to people living with dementia due to the gradual loss of decision-making capacity and ability to communicate that they typically experience. However, many people living with dementia are not given the opportunity to undertake ACP. As a consequence, their end of life care needs often remain unmet. As part of the multidisciplinary team, nurses are well placed to engage people living with dementia and those close to them in timely ACP conversations so that the person's future care aligns with their expressed values, wishes and preferences. Collaborative healthcare services that normalise ACP as part of routine dementia care and provide staff with ACP training and mentoring are essential for supporting nurses to undertake ACP with people living with dementia and their families. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Older People. 2025/12, Vol. 37, Issue 6, p34
- Document Type:Article
- Subject Area:Nursing and Allied Health
- Publication Date:2025
- ISSN:1472-0795
- DOI:10.7748/nop.2025.e1521
- Accession Number:189688365
- Copyright Statement:Copyright of Nursing Older People 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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