Setting a new standard of care: a patient case series to reveal the impact of the new intermittent urinary catheter Luja.

  • Published In: British Journal of Nursing, 2025, v. 34, n. 22. P. 1117 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tomlin, Karen; Holwe, Birgit; Dhondt, Caroline; Tentor, Fabio; Chamsin, Alaa; Mosiello, Giovanni 3 of 3

Abstract

This patient case series investigated the impact that the urinary catheter Luja™ with Micro-hole Zone Technology (MHZT) has had on the daily life of patients using intermittent catheters. With intermittent catheterisation (IC) representing the gold standard for daily bladder management for people with urinary tract dysfunctions, the novel urinary catheter Luja is designed to perform differently to conventional eyelet catheters and to address known urinary tract infection risk factors. Using semi-structured patient interviews conducted by health professionals, the real-life experiences of a diverse group of IC patients using the Luja catheter were collected. During the interviews most patients reported positive feedback from using the Luja catheter. Most mentioned perceiving a lower frequency of urinary tract infections, and many mentioned perceiving easier, faster and complete bladder emptying with the Luja catheter compared with their previous conventional eyelet catheter. These findings highlight the advantages that patients using the Luja catheter may experience during daily bladder management. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Nursing. 2025/12, Vol. 34, Issue 22, p1117
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0966-0461
  • DOI:10.12968/bjon.2025.0416
  • Accession Number:189840857
  • Copyright Statement:Copyright of British Journal of Nursing is the property of Mark Allen Holdings Limited 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.