Assessment of videos related to lung nodules in China

Assessment of non-small cell lung cancer online videos in China: A cross-sectional study on quality, content, understandability, actionability, and reliability

Objective: This study aims to conduct a multidimensional evaluation of non-small cell lung cancer (NSCLC)-related videos on social media platforms in China (TikTok, Bilibili, and Red).Methods: Validated tools were used to evaluate video quality (DISCERN instrument), reliability (Journal of the American Medical Association [JAMA] benchmarks), understandability, and actionability (Patient Education Materials Assessment Tool [PEMAT]).Results: This study included 96 videos, primarily created by medical professionals (n = 63). The median DISCERN score was 30.0 (IQR 28.5-34.4), indicating poor quality overall. Compared to videos rated as "good", the "poor" videos had significantly shorter durations (P = 0.040). The overall median understandability and actionability scores were 81.8% (IQR 75.0-90.9%) and 0% (IQR 0.0-66.7%), respectively, indicating good understandability but extremely poor actionability. Only one met all four JAMA benchmarks. TikTok videos with the shortest durations garnered the highest numbers of "likes", "comments", and "bookmarks", while Bilibili videos exhibited a relatively high overall quality.Conclusions: To guide the public in making informed medical decisions, Chinese NSCLC videos need improvement in various aspects.

Qualitative research on undergraduate nursing students' recognition and response to short videos' health disinformation

Background

With the popularity of the internet, short videos have become an indispensable tool to obtain health information. However, avoiding health disinformation owing to the openness of the Internet is difficult for users. Disinformation may endanger the health and lives of users.

Objective

With a focus on the process of identifying short videos' health disinformation and the factors affecting the accuracy of identification, this study aimed to investigate the identification methods, coping strategies, and the impact of short videos' health disinformation on undergraduate nursing students. The findings will provide guidance to users on obtaining high-quality and healthy information, in addition to reducing health risks.

Methods

Semi-structured in-depth interviews were conducted with 22 undergraduate nursing students in October 2022, and data were collected for collation and content analyses.

Results

The techniques used to identify short videos that include health disinformation as well as how undergraduate nursing students perceived these videos' features are among the study's findings. The failure factors in identification, coping paths, and adverse impacts of short videos on health disinformation were analyzed. The platform, the material itself, and the students' individual characteristics all have an impact on their identifying behavior.

Conclusions

Medical students continue to face many obstacles in identifying and responding to health disinformation through short videos. Preventing and stopping health disinformation not only requires individual efforts to improve health literacy and maintain rational thinking, it also requires the joint efforts of short video producers, relevant departments, and platforms.

Quality assessment of health science-related short videos on TikTok: A scoping review

OBJECTIVE

The aims of this review are to clarify the current state of research in terms of assessment tools and assessors of the quality of health science-related short videos on TikTok, to identify limitations in existing research; and to provide a reference for future studies.

METHODS

A scoping review was conducted. The Cochrane Library, PubMed, MEDLINE, Web of Science, Embase, Scopus, EBSCO, CNKI, VIP, Wanfang Data, and CBM databases were searched from September 2016 to November 2022. Manual searching was also performed to identify additional eligible studies. A total of 2620 documents were initially retrieved, and 29 were ultimately included. The literature was screened and collected, and data were extracted and summarized by 2 researchers.

RESULTS

(1) The quality evaluation tools used in the 29 papers included the DISCERN, PEMAT(A/V), GQS, JAMA, HONcode, guidelines and self-developed tools. Twenty-four of the included articles used the DISCERN for quality assessment, which was the most frequently used evaluation tool. However, most of these tools were not developed to assess health science-related short videos, lacked credibility tests, and had poor applicability; therefore, the accuracy of the evaluation results might be biased. (2) The assessors of the quality of health science-related short videos on TikTok were mainly experts in related fields and medical students, with doctors (12/14) being the most common evaluators. Fifteen studies did not report the identity of the evaluators, and 12 studies did not report interrater reliability.

CONCLUSION

This scoping review found that there is a lack of specific quality assessment tools for health science-related short videos on TikTok. Second, the current quality assessors of health science-related short videos on TikTok are limited. Future research should focus on the development of reliable, scientific quality assessment tools for health science-related short videos; unifying the evaluation standards; inviting users with different backgrounds and different health literacy levels to conduct quality assessments; exploring the quality assessment of health science-related short videos on TikTok from different perspectives.

Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study

Purpose

This study aimed to systematically evaluate the quality of content and information in videos related to gestational diabetes mellitus on Chinese social media platforms.

Methods

The videos on various platforms, TikTok, Bilibili, and Weibo, were searched with the keyword "gestational diabetes mellitus" in Chinese, and the first 50 videos with a comprehensive ranking on each platform were included for subsequent analysis. Characteristic information of video was collected, such as their duration, number of days online, number of likes, comments, and number of shares. DISCREN, JAMA (The Journal of the American Medical Association) Benchmark Criteria, and GQS (Global Quality Scores) were used to assess the quality of all videos. Finally, the correlation analysis was performed among video features, video sources, DISCERN scores, and JAMA scores.

Results

Ultimately, 135 videos were included in this study. The mean DISCERN total score was 31.84 ± 7.85, the mean JAMA score was 2.33 ± 0.72, and the mean GQS was 2.00 ± 0.40. Most of the videos (52.6%) were uploaded by independent medical professionals, and videos uploaded by professionals had the shortest duration and time online (P < 0.001). The source of the video was associated with numbers of "likes", "comments", and "shares" for JAMA scores (P < 0.001), but there was no correlation with DISCERN scores. Generally, videos on TikTok with the shortest duration received the most numbers of "likes", "comments", and "shares", but the overall quality of videos on Weibo was higher.

Conclusion

Although the majority of the videos were uploaded by independent medical professionals, the overall quality appeared to be poor. Therefore, more efforts and actions should be taken to improve the quality of videos related to gestational diabetes mellitus.

Quality and Reliability of Liver Cancer-Related Short Chinese Videos on TikTok and Bilibili: Cross-Sectional Content Analysis Study

BACKGROUND

Liver cancer incidence has been increasing in China in the recent years, leading to increased public concern regarding the burden of this disease. Short videos on liver cancer are disseminated through TikTok and Bilibili apps, which have gained popularity in recent years as an easily accessible source of health information. However, the credibility, quality, and usefulness of the information in these short videos and the professional knowledge of the individuals uploading health information-based videos in these platforms have not yet been evaluated.

OBJECTIVE

Our study aims to assess the quality of the information in Chinese short videos on liver cancer shared on the TikTok and Bilibili short video-sharing platforms.

METHODS

In March 2023, we assessed the top 100 Chinese short videos on liver cancer in TikTok and Bilibili (200 videos in total) for their information quality and reliability by using 2 rating tools, namely, global quality score (GQS) and the DISCERN instrument. Correlation and Poisson regression analyses were applied to discuss the factors that could impact video quality.

RESULTS

Compared to Bilibili, TikTok is more popular, although the length of the videos on TikTok is shorter than that of the videos on Bilibili (P<.001). The quality of the short videos on liver cancer in TikTok and Bilibili was not satisfactory, with median GQS of 3 (IQR 2-4) and 2 (IQR 1-5) and median DISCERN scores of 5 (IQR 4-6) and 4 (IQR 2-7), respectively. In general, the quality of videos sourced from professional institutions and individuals was better than that of those sourced from nonprofessionals, and videos involving disease-related knowledge were of better quality than those covering news and reports. No significant differences were found in the quality of videos uploaded by individuals from different professions, with the exception of those uploaded by traditional Chinese medicine professionals, which demonstrated poorer quality. Only video shares were positively correlated with the GQS (r=0.17, P=.01), and no video variables could predict the video quality.

CONCLUSIONS

Our study shows that the quality of short videos on health information related to liver cancer is poor on Bilibili and TikTok, but videos uploaded by health care professionals can be considered reliable in terms of comprehensiveness and content quality. Thus, short videos providing medical information on TikTok and Bilibili must be carefully considered for scientific soundness by active information seekers before they make decisions on their health care management.

WeChat official accounts' posts on medication use of 251 community healthcare centers in Shanghai, China: content analysis and quality assessment

BACKGROUND

The dissemination of online health information (OHI) on medication use via WeChat Official Accounts (WOAs) is an effective way to help primary care practitioners (PCPs) address drug-related problems (DRPs) in the community. Although an increasing number of primary care institutions in China have published WOA posts on medication use, their content and quality have not yet been assessed.

OBJECTIVE

This study aimed to explore the general features and content of WOA posts on medication use published by community healthcare centers (CHCs) in Shanghai, China and to assess their quality of content. It also aimed to explore the factors associated with the number of post views.

METHODS

From June 1 to October 31, 2022, two coauthors independently screened WOA posts on medication use published throughout 2021 by the CHCs in Shanghai. Content analysis was performed to analyze their general features (format, length, and source, etc.) and content (types of medicines and diseases). The QUEST tool was used to assess the quality of the posts. We compared the differences among posts published by CHCs in central urban areas and suburban areas, and used multiple linear regression to explore the factors associated with the number of post views.

RESULTS

A total of 236 WOAs of interest published 37,147 posts in 2021, and 275 (0.74%) of them were included in the study. The median number of post views was 152. Thirty percent of the posts were reviewed by the CHCs' staff before publication and only 6% provided information on PCPs' consultations. The most commonly mentioned medicines and diseases in the posts were Chinese patent medicines (37.1%) and respiratory diseases (29.5%). The posts frequently provided information on indications (77%) and usage (56%) but rarely on follow-up (13%) and storage (11%). Of the posts, 94.9% had a total QUEST score < 17 (full score = 28). The median number of post views and total post quality scores did not significantly differ among the CHCs in central urban and suburban areas. In the multiple linear regression model, the number of post views was associated with scores of complementarity (B = 56.47, 95% CI 3.05, 109.89) and conflict of interest (B = -46.40, 95% CI -56.21, -36.60).

CONCLUSION

The quantity and quality of WOA posts on medication use published by CHCs in China need improvement. The quality of posts may partially impact the dissemination effect, but intrinsic causal associations merit further exploration.