Exploring healthcare professionals’ knowledge of how to identify and respond to child sexual abuse.
Published In: Nursing Children & Young People, 2025, v. 37, n. 4. P. 20 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lowe, Gracie Eve; Taylor, Ellie-May 3 of 3
Abstract
Why you should read this article: • To enhance your awareness of the health consequences of child sexual abuse • To recognise your professional and legal child safeguarding responsibilities • To acknowledge the need for improved education and training about identification of child sexual abuse. Evidence on the incidence of child sexual abuse (CSA) indicates it is a global epidemic that adversely affects the short- and long-term physical and mental health outcomes of those affected. Learning from safeguarding practice reviews suggests healthcare professionals (HCPs) are in a unique position to identify and intervene when they suspect CSA. However, research suggests that HCPs have insufficient knowledge to identify CSA, intervene and manage the individual’s care. This article reports the findings of a systematic literature review that explored HCAs’ knowledge of how to identify and respond to CSA. The findings from the published research on this topic indicate that HCAs have limited knowledge and confidence, which can prevent them from fulfilling their mandatory safeguarding roles. The literature review emphasises the need to improve training to ensure better health outcomes for children and young people who have been sexually abused. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Children & Young People. 2025/07, Vol. 37, Issue 4, p20
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2025
- ISSN:2046-2336
- DOI:10.7748/ncyp.2024.e1525
- Accession Number:186343859
- Copyright Statement:Copyright of Nursing Children & Young People 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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