JOURNAL ARTICLE

Understanding and supporting young people exposed to online misinformation about eczema.

  • Published In: Nursing Children & Young People, 2025, v. 37, n. 2. P. 21 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lawton, Sandra; Runcie, Catalina; Murdoch, Clair 3 of 3

Abstract

Why you should read this article: • To better understand how young people use the internet and social media to source health information • To read about particular areas of misinformation about eczema on the internet and social media • To develop strategies for countering online misinformation about skin conditions. The traditional patient-clinician relationship is changing as young people and their families often now turn to the internet and social media for health information, treatment advice and support. Much of that content, however, is unregulated, unverified and inaccurate, which leads to the dissemination of health misinformation. Healthcare professionals working with young people with eczema and their families need to understand why young people turn to social media for health information, identify trends in online misinformation about eczema, and provide alternative, trustworthy sources of information. This article discusses particular areas of online misinformation about eczema as well as dermatology content on specific social media platforms. It also reports the views of young people on the youth panel of the charity Eczema Outreach Support about different social media platforms. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Children & Young People. 2025/03, Vol. 37, Issue 2, p21
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2025
  • ISSN:2046-2336
  • DOI:10.7748/ncyp.2024.e1517
  • Accession Number:183485259
  • Copyright Statement:Copyright of Nursing Children & Young People 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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