JOURNAL ARTICLE
Recognising and responding to non-fatal strangulation in domestic abuse.
Published In: Nursing Standard, 2024, v. 39, n. 8. P. 68 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Peel, Matthew; Cunnion, Katy 3 of 3
Abstract
Why you should read this article: • To update your knowledge of what constitutes non-fatal strangulation • To remember that victims/survivors of non-fatal strangulation often do not disclose the assault • To understand the nurse’s responsibility to respond to suspicions of domestic abuse by initiating safeguarding and protection procedures. Victims/survivors (the authors use this term throughout the article but acknowledge that individuals may use various terms to describe their experiences) of non-fatal strangulation associated with domestic abuse are at risk of further serious harm or death, but often do not disclose the assault. In addition, some of the signs and symptoms are not immediately apparent or obvious. Nurses have a professional responsibility to respond to suspicions about and/or disclosure of any type of domestic abuse by initiating safeguarding and protection procedures and must provide effective care. This article discusses non-fatal strangulation in domestic abuse, including the presenting signs and symptoms and barriers to disclosure, and describes the role of the nurse. The authors include a fictional case study to demonstrate the type of situation nurses may experience when they encounter a victim/survivor of non-fatal strangulation. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Standard. 2024/08, Vol. 39, Issue 8, p68
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0029-6570
- DOI:10.7748/ns.2024.e12061
- Accession Number:178719283
- 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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