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'How to stop a nosebleed': a combined objective and subjective assessment of YouTube videos on first-aid management of epistaxis.

  • Published In: Journal of Laryngology & Otology, 2024, v. 138, n. 2. P. 169 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Devakumar, Haran; Tailor, Bhavesh V; Perkins, Victoria; Ioannidis, Dimitris 3 of 3

Abstract

Objective: A previous study in 2016 found that the quality of YouTube videos on epistaxis first-aid management was highly variable. This study aimed to reassess the accuracy and patient understandability of such YouTube videos. Method: YouTube was searched using the phrase 'How to stop a nosebleed'. The highest 50 ranking videos, based on relevance, were screened. Each video was assessed objectively using a standardised 'advice score', and subjectively using a video understandability and actionability checklist, the Patient Education Materials Assessment Tool for Audiovisual Materials ('PEMAT-A/V'). Results: The mean advice score was 4.1 out of 8. The mean (standard deviation) understandability and actionability scores were 76 per cent (17 per cent) and 89 per cent (18 per cent), respectively. There was a strong positive correlation between the actionability scores and the advice scores (ρ = 0.634; p < 0.001), and between the actionability scores and the understandability scores (ρ = 0.519; p = 0.002). Conclusion: YouTube videos are providing increasingly relevant advice for patients seeking healthcare information. YouTube is proposed as a useful medium for teaching epistaxis management to patients and community practitioners. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Laryngology & Otology. 2024/02, Vol. 138, Issue 2, p169
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:0022-2151
  • DOI:10.1017/S0022215123001184
  • Accession Number:175261994
  • Copyright Statement:Copyright of Journal of Laryngology & Otology is the property of Cambridge University Press 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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