The Educational Quality of Neurosurgical Resources on YouTube.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 24 05 2019
revised: 22 06 2019
accepted: 24 06 2019
pubmed: 6 7 2019
medline: 22 1 2020
entrez: 6 7 2019
Statut: ppublish

Résumé

YouTube has rapidly become one of the most widely accessed educational platforms of our time. Over 1 billion hours of YouTube content are viewed every day, including neurosurgical videos. To date, there has never been a qualitative analysis of neurosurgical content on YouTube. By evaluating the search interest of neurosurgical terms via Google Trends, we selected 8 search terms to assess on YouTube. For each term, we selected the top 20 videos, 10 when sorting by view count and 10 when sorting by relevance. Using the DISCERN criteria, we evaluated 131 unique YouTube videos to assess bias and overall educational quality. In addition, we categorized each video based on its intended utility and the credentials of the video's commentator. The number of views, average DISCERN scores, and bias scores were compared between search terms and between video categories. There were 131 unique and 29 duplicate videos. The videos received 143,538,363 combined views (1,104,141 average). The average video age was 4.6 years (range, 66 days to 12.5 years). The term "brain surgery" received the most total views (62,339,885), with an average DISCERN score of 1.65 overall and 2 for bias. The average DISCERN score was 2.02 overall and 2.39 for bias. There were 45 advertisements for either hospitals, physicians, or companies, totaling 18,052,873 views and averaging a DISCERN score of 2.04. YouTube is a frequently viewed but biased source for neurosurgical information. Advertisements are frequently disguised as educational material, and few videos provide references or sources for their information.

Sections du résumé

BACKGROUND BACKGROUND
YouTube has rapidly become one of the most widely accessed educational platforms of our time. Over 1 billion hours of YouTube content are viewed every day, including neurosurgical videos. To date, there has never been a qualitative analysis of neurosurgical content on YouTube.
METHODS METHODS
By evaluating the search interest of neurosurgical terms via Google Trends, we selected 8 search terms to assess on YouTube. For each term, we selected the top 20 videos, 10 when sorting by view count and 10 when sorting by relevance. Using the DISCERN criteria, we evaluated 131 unique YouTube videos to assess bias and overall educational quality. In addition, we categorized each video based on its intended utility and the credentials of the video's commentator. The number of views, average DISCERN scores, and bias scores were compared between search terms and between video categories.
RESULTS RESULTS
There were 131 unique and 29 duplicate videos. The videos received 143,538,363 combined views (1,104,141 average). The average video age was 4.6 years (range, 66 days to 12.5 years). The term "brain surgery" received the most total views (62,339,885), with an average DISCERN score of 1.65 overall and 2 for bias. The average DISCERN score was 2.02 overall and 2.39 for bias. There were 45 advertisements for either hospitals, physicians, or companies, totaling 18,052,873 views and averaging a DISCERN score of 2.04.
CONCLUSIONS CONCLUSIONS
YouTube is a frequently viewed but biased source for neurosurgical information. Advertisements are frequently disguised as educational material, and few videos provide references or sources for their information.

Identifiants

pubmed: 31276855
pii: S1878-8750(19)31841-8
doi: 10.1016/j.wneu.2019.06.184
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e660-e665

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Max Ward (M)

Rutgers New Jersey Medical School, Newark, New Jersey, USA. Electronic address: Mw731@njms.rutgers.edu.

Brittany Ward (B)

Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Mickey Abraham (M)

Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Alexis Nicheporuck (A)

Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Omar Elkattawy (O)

Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Yehuda Herschman (Y)

Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Antonios Mammis (A)

Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.

James K Liu (JK)

Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Boris Paskhover (B)

Otolaryngology, Facial Plastics and Reconstructive Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.

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Classifications MeSH