Using reflection to address challenges in learning disability nursing.
Published In: Learning Disability Practice, 2025, v. 28, n. 6. 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 revisit your understanding of reflective practice and explore some of the challenges of using reflective practice in clinical settings • To identify steps that might enhance your reflective 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). Nurses working in learning disability care settings are encouraged to engage in reflective practice. This process is envisaged as likely to improve care insights, to enhance circumstances for service users and to increase nurses' confidence as they draw on experience. However, some authors have argued that reflective practice can be difficult in clinical settings, noting challenges such as bias blind spots, overestimation of the healthcare practitioner's ability to evaluate their own care contributions, and ambiguous clinical contexts. To revisit the process of reflective practice and to review its associated challenges, this article uses a case study involving the hospital admission of a man with a moderate learning disability for a bowel resection following diagnosis of bowel cancer. The author explores what reflection entails practically based on the experience of the nurses involved in this case study. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Learning Disability Practice. 2025/12, Vol. 28, Issue 6, p34
- Document Type:Article
- Subject Area:Nursing and Allied Health
- Publication Date:2025
- ISSN:1465-8712
- DOI:10.7748/ldp.2025.e2271
- Accession Number:189941262
- 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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