Oral Diabetes Medication Videos on Douyin: Analysis of Information Quality and User Comment Attitudes.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Formative Research Pub Date : 2024-10-18 DOI:10.2196/57720
Baolu Zhang, Surintorn Kalampakorn, Arpaporn Powwattana, Jutatip Sillabutra, Gang Liu
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Abstract

Background: Oral diabetes medications are important for glucose management in people with diabetes. Although there are many health-related videos on Douyin (the Chinese version of TikTok), the quality of information and the effects on user comment attitudes are unclear.

Objective: The purpose of this study was to analyze the quality of information and user comment attitudes related to oral diabetes medication videos on Douyin.

Methods: The key phrase "oral diabetes medications" was used to search Douyin on July 24, 2023, and the final samples included 138 videos. The basic information in the videos and the content of user comments were captured using Python. Each video was assigned a sentiment category based on the predominant positive, neutral, or negative attitude, as analyzed using the Weiciyun website. Two independent raters assessed the video content and information quality using the DISCERN (a tool for assessing health information quality) and PEMAT-A/V (Patient Education Materials Assessment Tool for Audiovisual Materials) instruments.

Results: Doctors were the main source of the videos (136/138, 98.6%). The overall information quality of the videos was acceptable (median 3, IQR 1). Videos on Douyin showed relatively high understandability (median 75%, IQR 16.6%) but poor actionability (median 66.7%, IQR 48%). Most content on oral diabetes medications on Douyin related to the mechanism of action (75/138, 54.3%), precautions (70/138, 50.7%), and advantages (68/138, 49.3%), with limited content on indications (19/138, 13.8%) and contraindications (14/138, 10.1%). It was found that 10.1% (14/138) of the videos contained misinformation, of which 50% (7/14) were about the method of administration. Regarding user comment attitudes, the majority of videos garnered positive comments (81/138, 58.7%), followed by neutral comments (46/138, 33.3%) and negative comments (11/138, 8%). Multinomial logistic regression revealed 2 factors influencing a positive attitude: user comment count (adjusted odds ratio [OR] 1.00, 95% CI 1.00-1.00; P=.02) and information quality of treatment choices (adjusted OR 1.49, 95% CI 1.09-2.04; P=.01).

Conclusions: Despite most videos on Douyin being posted by doctors, with generally acceptable information quality and positive user comment attitudes, some content inaccuracies and poor actionability remain. Users show more positive attitudes toward videos with high-quality information about treatment choices. This study suggests that health care providers should ensure the accuracy and actionability of video content, enhance the information quality of treatment choices of oral diabetes medications to foster positive user attitudes, help users access accurate health information, and promote medication adherence.

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豆瓣网上的口服糖尿病药物视频:信息质量与用户评论态度分析。
背景:口服糖尿病药物对糖尿病患者的血糖管理非常重要。虽然豆瓣(TikTok 的中文版)上有许多与健康相关的视频,但其信息质量和对用户评论态度的影响尚不明确:本研究旨在分析豆瓣网上与口服糖尿病药物视频相关的信息质量和用户评论态度:2023年7月24日,以 "口服糖尿病药物 "为关键词在豆瓣进行搜索,最终得到138个视频样本。使用 Python 采集了视频的基本信息和用户评论内容。通过使用微知云网站进行分析,根据正面、中立或负面态度占主导地位的情况,为每个视频分配一个情感类别。两名独立评分员使用 DISCERN(健康信息质量评估工具)和 PEMAT-A/V(视听材料患者教育材料评估工具)工具对视频内容和信息质量进行了评估:医生是视频的主要来源(136/138,98.6%)。视频的总体信息质量可以接受(中位数为 3,IQR 为 1)。豆瓣网上的视频可理解性相对较高(中位数为 75%,IQR 为 16.6%),但可操作性较差(中位数为 66.7%,IQR 为 48%)。豆瓣网上关于口服糖尿病药物的内容大多涉及作用机制(75/138,54.3%)、注意事项(70/138,50.7%)和优点(68/138,49.3%),而关于适应症(19/138,13.8%)和禁忌症(14/138,10.1%)的内容有限。调查发现,10.1%(14/138)的视频包含错误信息,其中 50%(7/14)涉及给药方法。关于用户的评论态度,大多数视频获得了正面评论(81/138,58.7%),其次是中性评论(46/138,33.3%)和负面评论(11/138,8%)。多项式逻辑回归显示了影响积极态度的两个因素:用户评论数(调整后的几率比 [OR] 1.00,95% CI 1.00-1.00;P=.02)和治疗选择的信息质量(调整后的几率比 1.49,95% CI 1.09-2.04;P=.01):尽管豆瓣网上的大多数视频都是由医生发布的,信息质量普遍可接受,用户评论态度积极,但仍存在一些内容不准确和可操作性差的问题。用户对提供高质量治疗选择信息的视频表现出更积极的态度。本研究建议,医疗服务提供者应确保视频内容的准确性和可操作性,提高口服糖尿病药物治疗选择的信息质量,以培养用户的积极态度,帮助用户获取准确的健康信息,促进用户坚持用药。
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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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