JOURNAL ARTICLE

Reducing health inequalities for marginalised populations by improving access to hepatitis C virus testing and treatment.

  • Published In: Primary Health Care, 2025, v. 35, n. 4. P. 22 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Moyo-Hlahla, Eugenia Lindile 3 of 3

Abstract

Why you should read this article: • To familiarise yourself with global, national and local initiatives aimed at eliminating hepatitis C virus (HCV) • To recognise the challenges involved in identifying and testing all people at risk of HCV infection • To read about a nurse-led project that has achieved the micro-elimination of HCV in Hounslow, England. Untreated hepatitis virus C (HCV) infection can progress to liver disease, liver cirrhosis, liver failure and hepatocellular carcinoma. Direct-acting antiviral agents are highly effective treatments for HCV infection. The Addiction Recovery Community in Hounslow (ARC Hounslow), England, conducted a nurse-led project to eliminate HCV in the local area. The number of people undergoing HCV testing and the number of those receiving HCV treatment increased. As a result, the service reached HCV micro-elimination in April 2023. This has been achieved through leadership, teamwork, innovative ways of working and partnership working. To engage service users, it was crucial to treat them with dignity and respect, build trust and develop therapeutic relationships with them. The project could be replicated by other teams, which would contribute to the goal of eliminating HCV across the UK. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Primary Health Care. 2025/08, Vol. 35, Issue 4, p22
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:0264-5033
  • DOI:10.7748/phc.2024.e1834
  • Accession Number:187145703
  • Copyright Statement:Copyright of Primary Health Care 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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