JOURNAL ARTICLE

Recognising and managing migraine.

  • Published In: Nursing Standard, 2024, v. 39, n. 1. P. 76 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Palk, Lauren Elizabeth 3 of 3

Abstract

Why you should read this article: • To update your knowledge of the 'red flag' migraine symptoms that could indicate a more serious condition • To familiarise yourself with the non-pharmacological and pharmacological management strategies available to treat migraine • To contribute towards revalidation as part of your 35 hours of CPD (UK readers) • To contribute towards your professional development and local registration renewal requirements (non-UK readers) Migraine is a common neurological disorder characterised by a severe, pulsating headache, sometimes accompanied with photophobia or phonophobia and nausea and/or vomiting. The symptoms of migraine can have a significant adverse effect on a person's ability to undertake normal activities. Nurses have an important role in assisting patients in identifying migraine triggers and in supporting them to manage the symptoms of migraines through lifestyle changes and pharmacological treatments. This article describes different types of migraines and some differential diagnoses and 'red flag' symptoms that could indicate a more serious condition. The author also discusses non-pharmacological and pharmacological management strategies and treatments. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Standard. 2024/01, Vol. 39, Issue 1, p76
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:0029-6570
  • DOI:10.7748/ns.2023.e12059
  • Accession Number:174684069
  • 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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