Severe asthma – identifying people at risk and improving access to treatment with biologics.
Published In: Primary Health Care, 2025, v. 35, n. 6. P. 30 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Prigmore, Samantha 3 of 3
Abstract
Why you should read this article: • To refresh your knowledge of severe asthma and its effects on people's health-related quality of life • To be aware of the use of biologics in the treatment of severe asthma • To recognise the importance of identification of severe asthma and the role of specialist asthma centres and severe asthma multidisciplinary teams. Severe asthma is a complex chronic disease underpinned by several phenotypes and various comorbidities and risk factors. It affects a relatively small number of people but represents a heavy burden for individuals and the healthcare system. Recently, biologics have started to be used to treat severe asthma and have the potential to transform patients' lives by reducing symptoms, exacerbations and reliance on oral corticosteroids. This article explains how to identify patients with poorly controlled asthma and describes the role of specialist asthma centres and severe asthma multidisciplinary teams in England. The authors also describe how a project in south west England made it possible to increase eligible patients' access to treatment with biologics, through collaborative working between the South West Severe Asthma Network, acute trusts and severe asthma centres. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Primary Health Care. 2025/12, Vol. 35, Issue 6, p30
- Document Type:Article
- Subject Area:Political Science
- Publication Date:2025
- ISSN:0264-5033
- DOI:10.7748/phc.2024.e1844
- Accession Number:189717769
- 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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