TikTok and #OccupationalTherapy: Cross-sectional Study

Chasca, Whitney; Nerada, Samantha; Zenone, Marco; Barbic, Skye

doi:10.2196/45554

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Several studies have been conducted on health-related content on TikTok, and these have used different instruments ( 13 – 16 , 30 – 33 ). Some studies have evaluated videos only based on engagement data ( 14 ), using minimal tools ( 30 , 31 ), or according to clinical guidelines ( 33 ). However, we have used the most comprehensive and most frequently employed instruments: DISCERN and the GQS ( 13 , 15 , 16 , 32 ).…”

Section: Discussionmentioning

confidence: 99%

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The quality of information provided by the most popular dementia videos on TikTok

Lukić,

Petrović

2023

Front. Public Health

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Summary of backgroundDementia is among the leading causes of death and disability worldwide, having a major impact not only on the affected person but also on all of society. The Internet is a popular and growing source of health-related information for patients, family members, carriers, and physicians. TikTok, one of the most popular social media platforms, is an important source for knowledge access and adoption. However, the quality of health information on TikTok has not been sufficiently studied.ObjectiveTo evaluate the quality of the information provided in the most popular videos on dementia shared on TikTok.Study designA cross-sectional study.MethodsThe top 100 most popular videos on TikTok obtained by searching the hashtag “dementia” were included in the study and grouped based on their source and content. The popularity of the videos was estimated based on the numbers of likes, comments, and shares. The quality of health-related information was evaluated using the DISCERN score and the Global Quality Score (GQS).ResultsVideos had a median duration of 33.29 s; the median number of likes was 635,100, with a total of 93,698,200 likes, 903,859 comments, and 5,310,912 shares. The source (uploader) of 65% of the videos was family members, while only 4% were uploaded by doctors. The content was lifestyle-related in 62% of the videos, while 12% of the videos were for fun. Videos had a median DISCERN score of 22.5 (IQR 20–27) and a median GQS of 2 (IQR 1–3). The videos uploaded by doctors had the highest quality scores and the lowest popularity.ConclusionThe most popular dementia videos on TikTok are mostly shared by family members and are of poor quality. Given the major public health issues associated with dementia, experts must provide appropriate and active assistance to patients in interpreting the information identified.

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Section: Discussionmentioning

confidence: 99%

“…Several studies have been conducted on health-related content on TikTok, and these have used different instruments (13)(14)(15)(16)(30)(31)(32)(33). Some studies have evaluated videos only based on engagement data (14), using minimal tools (30, 31), or according to clinical guidelines (33).…”

Section: Discussionmentioning

confidence: 99%

The quality of information provided by the most popular dementia videos on TikTok

Lukić,

Petrović

2023

Front. Public Health

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Machine learning prediction models for the popularization and dissemination of medical science popularization videos

Cheng,

Wang,

et al. 2024

Preprint

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Objective To summarize the current shooting trends of this type of video, discuss the effect of non-medical factors on the spread of videos, and develop prediction models using machine learning (ML) algorithms. Methods We searched and filtered medical science popularization videos on TikTok, then labeled non-medical features as variables and record the number of “Thumb-Up”, “Comment”, “Share” and “Collection” as outcome indicators. A total of 286 samples and 34 variables were included in the construction of the ML model, and 13 algorithms were employed with the area under the curve (AUC) for performance assessment and a ten-fold cross-validation for accuracy testing. Results In the quantitative analysis of the 4 outcome indicators, we identified significant disparities among different videos. Subsequently, five best-performing models were ultimately confirmed to predict the reasons for differences: “Thumb-Up” RF Model (AUC = 0.7331), “Collection” RF Model (AUC = 0.7439), “Share” RF Model (AUC = 0.7077), “Comment” RF Model (AUC = 0.7960), “Comment” BNB Model (AUC = 0.7844). By ML models, the video duration, title and description length, shooting location emerged and body language as the most five crucial parameters across all five models. Conclusion ML models demonstrated superior performance in predicting the influence of non-medical factors on the spread of medical science popularization videos. The weight of these variables will provide valuable guidance for video preparation. This study contributes to the dissemination and acceptance of medical science popularization videos by the public, thereby promoting health education and enhancing public awareness and competence in healthcare.

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The Efficacy of Rule of Law Publicity Short Video Platforms in the Prevention of Medical Disputes Among Healthcare Professionals: A Propensity Score Analysis

Yi,

Cao,

Wang

et al. 2023

RMHP

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Background: Medical disputes are a recurrent and pressing issue in hospitals, posing significant challenges to the functioning of medical institutions. We aimed to investigate whether receiving rule of law publicity on short video platforms is relevant to preventing medical disputes among healthcare professionals. Methods: We collected the data from 37,978 medical professionals from 130 tertiary public hospitals. Participants were classified into two groups according to the presence of receiving rule of law publicity on short video platforms. A subgroup analysis was performed before and after propensity score analysis, and multiple logistic regression was used to identify risk factors for medical disputes. Results: Among all participants, 46.1% (17,506/37,978) experienced medical disputes. Before propensity score analysis, the prevalence of medical disputes among participants who received rule of law publicity on short video platforms was similar to that among participants who did not (P = 0.639). However, after propensity score analysis, participants who received the rule of law publicity on short video platforms did not show a benefit effect. These participants had a significantly higher rate of suffering from medical disputes than participants who did not receive publicity on this platform (P=0.020). Multiple logistic regression analysis confirmed that receiving the rule of law publicity through short video platforms (P=0.010) or MicroBlog (P = 0.016), and previously facing legal issues outside of medical work (P < 0.001) were risk factors for medical disputes; participating in legal training organized by hospitals (P=0.004) and the hospital rule of law being very good (P=0.045) were protective factors. Conclusion: Medical disputes are a common occurrence within the healthcare profession. However, using short video platforms to promote the rule of law is not an effective method to prevent disputes. Instead, healthcare professionals can benefit from participating in legal training and having a well-established rule of law within the hospital construct.

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TikTok and #OccupationalTherapy: Cross-sectional Study

Cited by 3 publications

References 30 publications

The quality of information provided by the most popular dementia videos on TikTok

The quality of information provided by the most popular dementia videos on TikTok

Machine learning prediction models for the popularization and dissemination of medical science popularization videos

The Efficacy of Rule of Law Publicity Short Video Platforms in the Prevention of Medical Disputes Among Healthcare Professionals: A Propensity Score Analysis

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