Working effectively with people who have received a diagnosis of personality disorder.

  • Published In: Mental Health Practice, 2023, v. 26, n. 4. P. 34 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Elliott, Alison; Lamph, Gary; Kendall, Zoe 3 of 3

Abstract

Why you should read this article: • To appreciate why personality disorder is still regarded as a contentious diagnostic label • To learn about alternative conceptualisations of personality disorder and some of the evidence-based interventions that can be used with this client group • 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) Personality disorder is a contentious diagnostic label that is associated with high levels of stigma, leading many practitioners and people with lived experience to call for a change in its use. Mental health nurses frequently encounter people who have received a diagnosis of personality disorder in various settings. This article provides a critique of this diagnosis and discusses the issues that are associated with this label. It explores alternative conceptualisations of personality disorder and emphasises the importance of formulation as a tool for making sense of service users' past experiences. The article also details evidence-based interventions, trauma-informed care and interpersonal approaches that may be beneficial when working with this client group. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Mental Health Practice. 2023/07, Vol. 26, Issue 4, p34
  • Document Type:Article
  • Subject Area:Nursing and Allied Health
  • Publication Date:2023
  • ISSN:1465-8720
  • DOI:10.7748/mhp.2023.e1634
  • Accession Number:164727380
  • Copyright Statement:Copyright of Mental Health 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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