JOURNAL ARTICLE

Leadership skills for the multi-tiered nursing team.

  • Published In: Nursing Standard, 2023, v. 38, n. 12. P. 71 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Richards, Ali 3 of 3

Abstract

Why you should read this article: • To enhance your knowledge of the roles of nursing associate and assistant practitioner • To reflect on the leadership skills needed by various members of the multi-tiered nursing team • To improve your understanding of relational leadership styles, in particular compassionate leadership In a challenging global healthcare climate, new workforce models are required to address the ongoing shortfall in the number of nurses. One way of addressing the workforce crisis in the NHS has been to introduce the roles of nursing associate and assistant practitioner, which are designed to support registered healthcare professionals in their work and 'bridge the gap' between registered professionals and support workers. This article examines the leadership skills required of nurses when seeking to embed these roles in practice, and the leadership skills assistant practitioners and nursing associates themselves need to take their place in the team. The author also discusses the need for nurses to adopt a relational leadership style, hone their delegation skills and foster a climate of psychological safety for their assistant practitioner and nursing associate colleagues. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Standard. 2023/12, Vol. 38, Issue 12, p71
  • Document Type:Article
  • Subject Area:Nursing and Allied Health
  • Publication Date:2023
  • ISSN:0029-6570
  • DOI:10.7748/ns.2023.e12202
  • Accession Number:174684045
  • 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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