JOURNAL ARTICLE

Co-producing transgender awareness training for healthcare students and professionals.

  • Published In: Nursing Management - UK, 2023, v. 30, n. 2. P. 35 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Corrigan, Mairead; Quinn, Barry; Moore, Alexa; O'Donnell, Shane 3 of 3

Abstract

Why you should read this article: • To appreciate the health inequities experienced by transgender people • To acknowledge that healthcare professionals often lack the competence and skills required to treat transgender people sensitively • To learn about the co-production, content and delivery of a transgender awareness training session Nurses and doctors must be culturally competent to care for transgender patients. However, there is little time dedicated to lesbian, gay, bisexual, transgender and queer plus (LGBTQ+) health in undergraduate and postgraduate nursing and medicine education and healthcare professionals often lack the competence and skills to treat transgender patients sensitively. At Queen's University Belfast, a transgender awareness training session was developed to enhance the cultural competence of nursing and medicine students and academic staff. The training was co-produced with students and transgender people and delivered by a transgender person. Training on transgender health should be designed in collaboration with transgender people and should be a core component of undergraduate and postgraduate healthcare curricula. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Management - UK. 2023/04, Vol. 30, Issue 2, p35
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1354-5760
  • DOI:10.7748/nm.2022.e2050
  • Accession Number:173147709
  • Copyright Statement:Copyright of Nursing Management - UK 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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