对 TikTok 自闭症谱系障碍内容质量的横向分析

Emma Brown , Faith Kuzmiak , Aakanksha Singh , Varun Monga , Theodore Bell , Jessica Nolan , Melissa Schlenker , Joan Moore , Rahul Kashyap
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引用次数: 0

摘要

背景在当前的数字时代,人们经常通过广泛使用的社交媒体应用程序 "TikTok "来获取有关自闭症谱系障碍(ASD)的信息。尽管如此,还没有研究对该应用程序上有关自闭症谱系障碍的信息质量进行评估。为了评估视频质量,我们在 2023 年 6 月 19 日至 21 日期间从 TikTok 上获取了 100 个标有 "自闭症谱系障碍 "的视频。如果视频与自闭症谱系障碍有关,则将其包括在内;如果视频不是英语视频、与自闭症谱系障碍无关或重复,则将其排除在外。评估视频时使用了两个系统。患者教育视听材料评估工具 (PEMAT-A/V) 用于获得视频可理解性和可操作性的百分比分数。视频还被分为三类:有用、个人经验或误导(UPM)。结果 在分析的 100 个视频中,24% 被归类为有用;36% 被归类为个人经历;40% 被归类为误导。这些视频的PEMAT-A/V可理解性平均得分为60.1%(SD=14.5,范围=31.0-91.7%),PEMAT-A/V可操作性中位得分为0%(IQR=0-0,范围=0-100%)。视频中讨论的主题细分如下:62% 的视频讨论了自闭症的诊断/症状,17% 涉及自闭症的管理,7% 概述了自闭症的整体情况,2% 讨论了自闭症的病因,7% 包含被归类为 "其他 "的信息。大部分视频是由非保健医生制作的(86%),其余视频是由保健医生制作的(14%)。高级保健医生上传有用内容的比例(50%)明显高于非高级保健医生(20%,p = 0.034)。专业保健人员上传诊断/症状内容的比例(85.7%)也明显高于非专业保健人员(62%,p = 0.015)。总体而言,视频的可理解性一般,可操作性很低,而且经常具有误导性。个人在浏览应用程序中有关 ASD 的信息时应小心谨慎,而医疗保健人员则应意识到患者很可能接触到了混淆或误导性的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-sectional analysis of TikTok autism spectrum disorder content quality

Background

In the current digital age, individuals often look to the widely used social media application “TikTok” to obtain information about autism spectrum disorder (ASD). Despite this, no studies have evaluated the quality of information available about ASD on the app. Our aim was to investigate the understandability, actionability, and usefulness of TikTok videos about ASD.

Methods

To evaluate video quality, 100 videos tagged with “autism spectrum disorder” were obtained from TikTok between June 19th-21st, 2023. Videos were included if they pertained to ASD and excluded if they were not in English, unrelated to ASD, or duplicates. Two systems were used to assess the videos. The Patient Education Materials Assessment Tool for Audio- Visual Materials (PEMAT-A/V) was used to obtain percentage scores for video understandability and actionability. The videos were also sorted into one of three categories: useful, personal experience, or misleading (UPM). The assignment was based on if they contained factual information, anecdotal personal experiences, or incorrect information, respectively.

Results

Of the 100 videos analyzed, 24 % were classified as useful; 36 % as personal experience; and 40 % as misleading. They had a mean PEMAT-A/V understandability score of 60.1 % (SD=14.5, range=31.0–91.7 %) and a median PEMAT-A/V actionability score of 0 % (IQR=0–0, range=0–100 %). The breakdown of topics discussed in the videos were as follows: 62 % of videos discussed the diagnosis/symptoms of ASD, 17 % pertained to disorder management, 7 % gave an overview of the disorder as a whole, 2 % discussed the cause of ASD, and 7 % contained information classified as “other”. The majority of the videos were made by non-HCPs (86 %), while the remaining videos were made by HCPs (14 %). HCPs uploaded a significantly higher percentage of useful content (50 %) than non-HCPs (20 %, p = 0.034). HCPs also uploaded a significantly higher percentage of Diagnosis/Symptoms content (85.7 %) than non-HCPs (62 %, p = 0.015).

Conclusion

TikTok content about ASD is of unsatisfactory quality. Overall, videos are of moderate understandability, very low actionability, and are often misleading. Individuals should exercise caution when browsing the app for information about ASD, and HCPs should be aware that patients are likely to have been exposed to confusing or misleading information.

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来源期刊
Emerging trends in drugs, addictions, and health
Emerging trends in drugs, addictions, and health Pharmacology, Psychiatry and Mental Health, Forensic Medicine, Drug Discovery, Pharmacology, Toxicology and Pharmaceutics (General)
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2.40
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