Evidence map›Paper›PMID 34468327›Full record

ArticleJournal of medical Internet research2021

TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos.

Wenwen Kong, Shijie Song, Yuxiang Chris Zhao, Qinghua Zhu, Ling Sha

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

203 citing papers in PubMed.

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143 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenwen Kong *Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.ORCID 0000-0002-6477-342X
Shijie Song *School of Information Management, Nanjing University, Nanjing, China.ORCID 0000-0002-4544-2027
Yuxiang Chris ZhaoSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, China.ORCID 0000-0001-9281-3030
Qinghua ZhuSchool of Information Management, Nanjing University, Nanjing, China.ORCID 0000-0002-4879-399X
Ling ShaNanjing Jiangning Maternal and Child Health and Family Planning Service Center, Nanjing, China.ORCID 0000-0002-1200-5154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes has become one of the most prevalent chronic diseases, and many people living with diabetes use social media to seek health information. Recently, an emerging social media app, TikTok, has received much interest owing to its popularity among general health consumers. We notice that there are many videos about diabetes on TikTok. However, it remains unclear whether the information in these videos is of satisfactory quality.

objectiveThis study aimed to assess the quality of the information in diabetes-related videos on TikTok.

methodsWe collected a sample of 199 diabetes-related videos in Chinese. The basic information presented in the videos was coded and analyzed. First, we identified the source of each video. Next, 2 independent raters assessed each video in terms of the completeness of six types of content (the definition of the disease, symptoms, risk factors, evaluation, management, and outcomes). Then, the 2 raters independently assessed the quality of information in the videos, using the DISCERN instrument.

resultsIn regard to the sources of the videos, we found 6 distinct types of uploaders; these included 3 kinds of individual users (ie, health professionals, general users, and science communicators) and 3 types of organizational users (ie, news agencies, nonprofit organizations, and for-profit organizations). Regarding content, our results show that the videos were primarily about diabetes management and contained limited information on the definition of the disease, symptoms, risk factors, evaluation, and outcomes. The overall quality of the videos was acceptable, on average, although the quality of the information varied, depending on the sources. The videos created by nonprofit organizations had the highest information quality, while the videos contributed by for-profit organizations had the lowest information quality.

conclusionsAlthough the overall quality of the information in the diabetes videos on TikTok is acceptable, TikTok might not fully meet the health information needs of patients with diabetes, and they should exercise caution when using TikTok as a source of diabetes-related information.

Indexed as

COVID-19Diabetes MellitusSocial MediaHumansVideo Recordingdiabetesinfodemiologyinformation qualityshort video appssocial mediaTikTok

Identifiers

PMID34468327
PMCPMC8444042

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.