Assessing the quality of COVID-19 vaccine videos on video-sharing platforms

Background: Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing...

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Autores principales: Ryan Yanqi Tan, Alyssa Elyn Pua, Li Lian Wong, Kevin Yi-Lwern Yap
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/4206bbc52a764899901789c642610e77
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spelling oai:doaj.org-article:4206bbc52a764899901789c642610e772021-11-04T04:45:30ZAssessing the quality of COVID-19 vaccine videos on video-sharing platforms2667-276610.1016/j.rcsop.2021.100035https://doaj.org/article/4206bbc52a764899901789c642610e772021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667276621000354https://doaj.org/toc/2667-2766Background: Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing platforms has not been established. Objective: This study developed an assessment tool to evaluate the quality of Coronavirus Disease 2019 (COVID-19) vaccine videos on YouTube, Facebook Watch and TikTok. Methods: Assessment of quality was based on understandability, actionability, accuracy, comprehensiveness and reliability. Videos were searched using the keywords “COVID-19 vaccine”, “Coronavirus vaccine” and “SARS-CoV-2 vaccine”. Seventy-two videos were evaluated. Descriptive statistics, Kruskal-Wallis and Wilcoxon-rank sum tests were used for analysis. Results: YouTube had the highest median composite score compared to TikTok (36.8% versus 27.5%, p = 0.001). YouTube also had the highest median reliability score (37.5%), but those of Facebook Watch (35.0%) and TikTok (35.0%) were only marginally lower. Median accuracy scores of all platforms were 100%, but their median comprehensiveness scores were low (YouTube 12.5%; Facebook Watch 6.3%; TikTok 6.3%, p = 0.004). Median actionability scores (0%) were the lowest for all platforms. TikTok had the highest median understandability score compared to YouTube and Facebook Watch (96.9% versus 80.0 each, p < 0.001). Conclusion: The overall quality of videos on all video-sharing platforms were low. All platforms provided accurate COVID-19 vaccine information, but TikTok videos were the most understandable. Most videos did not provide full details about COVID-19 vaccines, thus viewers would need to watch several videos before making a better-informed decision.Ryan Yanqi TanAlyssa Elyn PuaLi Lian WongKevin Yi-Lwern YapElsevierarticleCOVID-19 vaccinesFacebook WatchInformation qualityTikTokVideo-sharing platformsYouTubePharmacy and materia medicaRS1-441ENExploratory Research in Clinical and Social Pharmacy, Vol 2, Iss , Pp 100035- (2021)
institution DOAJ
collection DOAJ
language EN
topic COVID-19 vaccines
Facebook Watch
Information quality
TikTok
Video-sharing platforms
YouTube
Pharmacy and materia medica
RS1-441
spellingShingle COVID-19 vaccines
Facebook Watch
Information quality
TikTok
Video-sharing platforms
YouTube
Pharmacy and materia medica
RS1-441
Ryan Yanqi Tan
Alyssa Elyn Pua
Li Lian Wong
Kevin Yi-Lwern Yap
Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
description Background: Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing platforms has not been established. Objective: This study developed an assessment tool to evaluate the quality of Coronavirus Disease 2019 (COVID-19) vaccine videos on YouTube, Facebook Watch and TikTok. Methods: Assessment of quality was based on understandability, actionability, accuracy, comprehensiveness and reliability. Videos were searched using the keywords “COVID-19 vaccine”, “Coronavirus vaccine” and “SARS-CoV-2 vaccine”. Seventy-two videos were evaluated. Descriptive statistics, Kruskal-Wallis and Wilcoxon-rank sum tests were used for analysis. Results: YouTube had the highest median composite score compared to TikTok (36.8% versus 27.5%, p = 0.001). YouTube also had the highest median reliability score (37.5%), but those of Facebook Watch (35.0%) and TikTok (35.0%) were only marginally lower. Median accuracy scores of all platforms were 100%, but their median comprehensiveness scores were low (YouTube 12.5%; Facebook Watch 6.3%; TikTok 6.3%, p = 0.004). Median actionability scores (0%) were the lowest for all platforms. TikTok had the highest median understandability score compared to YouTube and Facebook Watch (96.9% versus 80.0 each, p < 0.001). Conclusion: The overall quality of videos on all video-sharing platforms were low. All platforms provided accurate COVID-19 vaccine information, but TikTok videos were the most understandable. Most videos did not provide full details about COVID-19 vaccines, thus viewers would need to watch several videos before making a better-informed decision.
format article
author Ryan Yanqi Tan
Alyssa Elyn Pua
Li Lian Wong
Kevin Yi-Lwern Yap
author_facet Ryan Yanqi Tan
Alyssa Elyn Pua
Li Lian Wong
Kevin Yi-Lwern Yap
author_sort Ryan Yanqi Tan
title Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
title_short Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
title_full Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
title_fullStr Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
title_full_unstemmed Assessing the quality of COVID-19 vaccine videos on video-sharing platforms
title_sort assessing the quality of covid-19 vaccine videos on video-sharing platforms
publisher Elsevier
publishDate 2021
url https://doaj.org/article/4206bbc52a764899901789c642610e77
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