JOURNAL ARTICLE
Enhancing gender equality for women using person-centred care and cultural curiosity.
Published In: Nursing Standard, 2024, v. 39, n. 2. P. 71 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Moss, Jadzia; Roberts, Stuart 3 of 3
Abstract
Why you should read this article: • To identify how gender can influence people's experience of healthcare and their health outcomes • To consider strategies you could use in your practice to promote person-centred care for women • To understand the importance of recognising unconscious bias and developing cultural humility. Socially constructed gender norms influence people's access to, and experience of, healthcare. Gender norms can negatively affect the health of women, men and people with other gender identities, such as transgender or non-binary individuals. Person-centred care and shared decision-making, which are widely recognised as essential aspects of healthcare, could be effective approaches for enhancing gender equality in healthcare for women. However, many women appear to receive suboptimal person-centred care. Additionally, there is a lack of representation of diverse gender identities in research, as well as a lack of awareness of diverse gender identities among nurses and other healthcare professionals. To enhance gender equality in healthcare for women, nurses and nursing students should be encouraged to reflect on their unconscious biases and adopt a stance of cultural curiosity, while organisations need to improve preregistration and post-registration training on equality and diversity. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Standard. 2024/02, Vol. 39, Issue 2, p71
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2024
- ISSN:0029-6570
- DOI:10.7748/ns.2024.e12221
- Accession Number:175142421
- 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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