JOURNAL ARTICLE
Using critical reflection to enhance the care of older people: a practice example.
Published In: Nursing Older People, 2024, v. 36, n. 5. P. 29 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Madden, Gayle; Goss-Hill, Beth 3 of 3
Abstract
Why you should read this article: • To refresh your knowledge of what critical reflection entails and its potential benefits • To enhance your understanding of some of the reflective models that nurses can use to support them • To consider how you could use critical reflection to enhance your practice. Reflection is an essential aspect of nursing practice that facilitates continuing professional development and practice improvement. Critical reflection is a more in-depth form of reflection and can be described as a creative, dynamic and transformative learning process that enhances practice by promoting self-awareness and critical thinking. Older adults often present with complex and multiple healthcare needs. Engaging in critical reflection can assist nurses to provide the high-quality, person-centred care required to meet those needs, support older people to retain their independence and enhance their well-being. This article discusses critical reflection within the context of nursing older people and describes various models that can be used to support the reflective process. The authors use a practice example to illustrate how using critical reflection in practice can enable nurses to develop a deeper understanding of themselves and use what they have learned to enhance their delivery of person-centred care. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Older People. 2024/10, Vol. 36, Issue 5, p29
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2024
- ISSN:1472-0795
- DOI:10.7748/nop.2024.e1465
- Accession Number:179994860
- Copyright Statement:Copyright of Nursing Older 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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