JOURNAL ARTICLE

Promoting transformational leadership in learning disability nursing.

  • Published In: Learning Disability Practice, 2025, v. 28, n. 4. P. 34 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: King, Joseph; King, Jade 3 of 3

Abstract

Why you should read this article: • To enhance your understanding of the characteristics and benefits of transformational leadership • To reflect on how you could apply the principles of transformational leadership to your practice • 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). Learning disability nurses work across a variety of settings in roles that often require leadership skills. In learning disability services there is an emphasis on providing high-quality care, ensuring the safety of service users and reducing restrictive practices, with effective leadership considered vital to achieving these. Therefore, it is important that nurses adopt a leadership style which can galvanise their teams and colleagues and bring about change. One such style of leadership is transformational leadership, which uses emotional intelligence, open communication, role modelling and empowerment to motivate team members to 'rally around' a shared vision. This article explains how nurses can apply transformational leadership to their practice and encourage team members and colleagues to aim towards improved outcomes for people with learning disabilities and their carers. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Learning Disability Practice. 2025/08, Vol. 28, Issue 4, p34
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2025
  • ISSN:1465-8712
  • DOI:10.7748/ldp.2024.e2254
  • Accession Number:187164693
  • 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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