JOURNAL ARTICLE
Exploring LGBTQ+ people's experiences of long-term and end of life care services.
Published In: Nursing Standard, 2026, v. 41, n. 2. P. 45 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Evans, David Thomas 3 of 3
Abstract
Why you should read this article: • To refresh your knowledge of the terminology used in relation to lesbian, gay, bisexual, trans, queer and other sexual or gender minority (LGBTQ+) people • To recognise the issues that LGBTQ+ people may experience in accessing long-term and end of life care services • To consider how to improve inclusivity for LGBTQ+ patients through enhancing communication and transforming education. The demand for high-quality end of life care services for lesbian, gay, bisexual, transgender or trans, queer and other sexual or gender minority (LGBTQ+) people will continue to increase alongside that of the wider population. However, there does not appear to be the expected, representative numbers of LGBTQ+ patients within such services. In this article, the author examines some of the challenges experienced by LGBTQ+ people in accessing long-term and end of life care services, and discusses issues related to the concealment and disclosure of sexual orientation and gender identity. The author also explores some of the ways in which nurses, educators and healthcare organisations might improve the representation and inclusion of LGBTQ+ people in end of life care services. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Standard. 2026/02, Vol. 41, Issue 2, p45
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2026
- ISSN:0029-6570
- DOI:10.7748/ns.2026.e12398
- Accession Number:191356270
- Copyright Statement:Copyright of Nursing Standard 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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