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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Apr 26, 2021
Open Peer Review Period: Apr 26, 2021 - May 10, 2021
Date Accepted: May 21, 2021
Date Submitted to PubMed: Jun 3, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

The Reliability and Quality of YouTube Videos as a Source of Public Health Information Regarding COVID-19 Vaccination: Cross-sectional Study

Chan C, Sounderajah V, Daniels E, Acharya A, Clarke J, Yalamanchili S, Normahani P, Markar S, Ashrafian H, Darzi A

The Reliability and Quality of YouTube Videos as a Source of Public Health Information Regarding COVID-19 Vaccination: Cross-sectional Study

JMIR Public Health Surveill 2021;7(7):e29942

DOI: 10.2196/29942

PMID: 34081599

PMCID: 8274673

YouTube as a source of public health information regarding COVID-19 vaccination: an assessment of reliability and quality of video content

  • Calvin Chan; 
  • Viknesh Sounderajah; 
  • Elisabeth Daniels; 
  • Amish Acharya; 
  • Jonathan Clarke; 
  • Seema Yalamanchili; 
  • Pasha Normahani; 
  • Sheraz Markar; 
  • Hutan Ashrafian; 
  • Ara Darzi

ABSTRACT

Background:

Recent emergency authorisation and rollout of COVID-19 vaccines by regulatory bodies has generated global attention. As the most popular video-sharing platform globally, YouTube is a potent medium for dissemination of key public health information. Understanding the nature of available content regarding COVID-19 vaccination on this widely used platform is of substantial public health interest.

Objective:

To evaluate the reliability and quality of information of YouTube videos regarding COVID-19 vaccination.

Methods:

For this cross-sectional study, the phrases ‘coronavirus vaccine’ and ‘COVID-19 vaccine’ were searched on the UK version of YouTube on December 10, 2020. The 200 most-viewed videos of each search were extracted and screened for relevance and English language. Video content and characteristics were extracted and independently rated against Health on the Net Foundation Code of Conduct (HONCode) and DISCERN quality criteria for consumer health information by two authors.

Results:

Forty-eight videos, with a combined total view count of 30,100,561, were included in the analysis. Topics addressed comprised: vaccine science (58%), vaccine trials (58%), side effects (48%), efficacy (35%) and manufacturing (17%). Twenty-one percent of videos encouraged continued public health measures. Only 4.2% of videos made non-factual claims. Ninety-eight percent of video content was scored to have low (60%) or medium (38%) adherence to HONCode principles. Educational channels produced by both medical and non-medical professionals achieved significantly higher DISCERN scores than other categories. The highest DISCERN scores were achieved by educational videos produced by medical professionals (64.3 (58.5-66.3)) and the lowest scores by independent users (18 (18-20)).

Conclusions:

Overall quality and reliability of information on YouTube regarding COVID-19 vaccines remains poor. Videos produced by educational channels, especially by medical professionals, were higher in quality and reliability than those produced by other sources, including health-related organisations. Collaboration between health-related organisations and established medical and educational YouTube content producers provide an opportunity for dissemination of high-quality information regarding COVID-19 vaccination. Such collaboration holds potential as a rapidly implementable public health intervention aiming to engage a wide audience and increase public awareness and knowledge.


 Citation

Please cite as:

Chan C, Sounderajah V, Daniels E, Acharya A, Clarke J, Yalamanchili S, Normahani P, Markar S, Ashrafian H, Darzi A

The Reliability and Quality of YouTube Videos as a Source of Public Health Information Regarding COVID-19 Vaccination: Cross-sectional Study

JMIR Public Health Surveill 2021;7(7):e29942

DOI: 10.2196/29942

PMID: 34081599

PMCID: 8274673

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.