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Understanding and investigating potential problematic behaviour towards colleagues.

  • Published In: Nursing Management - UK, 2024, v. 31, n. 2. P. 34 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Price, Bob 3 of 3

Abstract

Why you should read this article: • To recognise there are occasional instances of problematic behaviour towards colleagues in nursing teams • To learn ways of investigating potential problematic behaviour through exploring the beliefs, values and attitudes of individuals and the team • 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). Behaviour towards colleagues within the nursing team that undermines teamwork and conflicts with standards and policies can be described as problematic. It is important that nurse managers understand and investigate potential problematic behaviour towards colleagues, particularly in today’s healthcare environment where team cohesion and morale are constantly under threat. In this article, the author highlights the challenges for nurse managers and describes the sensitive and respectful exploratory process they need to undertake. Nurses’ behaviours are underpinned by beliefs, values and attitudes so investigating potential problematic behaviour warrants an exploration of these aspects with individual nurses and with the nursing team. Therefore, the author also suggests a way for nurse managers to conduct a collective exploration of the team’s values. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Management - UK. 2024/04, Vol. 31, Issue 2, p34
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:1354-5760
  • DOI:10.7748/nm.2024.e2115
  • Accession Number:176404790
  • Copyright Statement:Copyright of Nursing Management - UK 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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