检索结果-内蒙古大学图书馆

Quality Evaluation of Consumer Health Information Websites Found on Google Using DISCERN, CRAAP, and honcode

Medical Reference Services Quarterly 2021年第4期40卷 396-407页

作者： Portillo, Ivan A. Johnson, Catherine V. Johnson, Scott Y. Leatherby Libraries Chapman University Orange CA United States Wilson Library University of La Verne CA United States M. B. Ketchum Memorial Library Marshall B. Ketchum University Fullerton CA United States

Online health misinformation is a growing problem, and health information professionals and consumers would benefit from an evaluation of health websites for reliability and trustworthiness. Terms from the Google COVID-19 Search Trends dataset were searched on Google to determine the most frequently appearing consumer health information websites. The quality of the resulting top five websites was evaluated. The top five websites that appeared most frequently were WebMD, Mayo Clinic, Healthline, MedlinePlus, and Medical News Today, respectively. All websites, except Medline Plus, received honcode certification. Based on DISCERN and CRAAP scores, MedlinePlus was found to be the most reliable health website. © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.

关键词： Consumer health information COVID-19 CRAAP DISCERN honcode website evaluation

来源：评论

学校读者我要写书评

暂无评论

Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (honcode): Model Development and Validation Study

引用

JMIR FORMATIVE RESEARCH 2023年第1期7卷 e52995页

作者： Bayani, Azadeh Ayotte, Alexandre Nikiema, Jean Noel Univ Montreal Ctr Rech Sante Publ Montreal PQ H3C 3J7 Canada Ctr Integre Univ Sante & Serv Sociaux Ctr Sud Ile Montreal PQ H3C 3J7 Canada Lab Transformat Numer Sante Montreal PQ Canada Univ Montreal Sch Publ Hlth Dept Management Evaluat & Hlth Policy Montreal PQ Canada

Background: An increasing number of users are turning to web-based sources as an important source of health care guidance information. Thus, trustworthy sources of information should be automatically identifiable using objective ***: The purpose of this study was to automate the assessment of the Health on the Net Foundation Code of Conduct (honcode) criteria, enhancing our ability to pinpoint trustworthy health information ***: A data set of 538 web pages displaying health content was collected from 43 health-related websites. honcode criteria have been considered as web page and website levels. For the website-level criteria (confidentiality, transparency, financial disclosure, and advertising policy), a bag of keywords has been identified to assess the criteria using a rule-based model. For the web page-level criteria (authority, complementarity, justifiability, and attribution) several machine learning (ML) approaches were used. In total, 200 web pages were manually annotated until achieving a balanced representation in terms of frequency. In total, 3 ML models-random forest, support vector machines (SVM), and Bidirectional Encoder Representations from Transformers (BERT)-were trained on the initial annotated data. A second step of training was implemented for the complementarity criterion using the BERT model for multiclass classification of the complementarity sentences obtained by annotation and data augmentation (positive, negative, and noncommittal sentences). Finally, the remaining web pages were classified using the selected model and 100 sentences were randomly selected for manual ***: For web page-level criteria, the random forest model showed a good performance for the attribution criterion while displaying subpar performance in the others. BERT and SVM had a stable performance across all the criteria. BERT had a better area under the curve (AUC) of 0.96, 0.98, and 1.00 for neutral sentences, justifiability, and at

关键词： honcode infodemic natural language processing web-based health information machine learning

来源：评论

学校读者我要写书评

暂无评论

How to sort trustworthy health online information? Improvements of the automated detection of honcode criteria

How to sort trustworthy health online information? Improveme...

引用

International Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)

作者： Boyer, Celia Frossard, Cedric Gaudinat, Arnaud Hanbury, Allan Falquet, Gilles Hlth Net Fdn Geneva Switzerland HES SO HEG Geneva BiTeM Grp Informat Sci Dept Carouge Switzerland TU Wien Inst Software Technol & Interact Syst Vienna Austria Univ Geneva Fac Econ & Social Sci Geneva Switzerland

When searching on the Web, laypersons and professionals have difficulty in determining the quality or trustworthiness of health websites. No simple approach can differentiate among trustworthy and unreliable health websites in the results provided by major search engines such as Google, Yahoo or Bing. The European project Kconnect proposes to classify the reliability and readability levels of health-related Web sites and pages, tools according to the detection of honcode criteria, the Health On the Net Foundation (HON) Code of Conduct using automated tools that examine how technical the health information contained in each document is. This article focuses on enhancement of automated detection of honcode criteria in real-time settings. Applications of the approach include integration into the honcode certification process, and embedding it as generic filtering tool into user-centered health domain search engines as well as into major general search engines such as a Web browser extension. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Quality criteria Trust Learning approach honcode search engine

来源：评论

学校读者我要写书评

暂无评论

How to sort trustworthy health online information? Improvements of the automated detection of honcode criteria

引用

Procedia Computer Science 2017年 121卷 940-949页

作者： Célia Boyer Cédric Frossard Arnaud Gaudinat Allan Hanbury Gilles Falquetd Health On The Net Foundation Geneva Switzerland BiTeM group HES-SO/HEG Geneva Information Science Department Carouge Switzerland Institute of Software Technology & Interactive Systems TU Wien Vienna Austria Faculty of economics and social sciences University of Geneva Geneva Switzerland

关键词： Quality criteria Trust Learning approach honcode search engine

来源：评论

学校读者我要写书评

暂无评论

Evaluating the quality of TikTok videos on coronary artery disease using various scales to examine correlations with video characteristics and high-quality content

引用

SCIENTIFIC REPORTS 2025年第1期15卷 1-10页

作者： Hao, Peng Liu, Guixin Lian, Shuang Huang, Jiaxu Zhao, Lin Capital Med Univ Beijing Chaoyang Hosp Dept Cardiol Beijing 100020 Peoples R China Capital Med Univ Beijing Chaoyang Hosp Heart Ctr Beijing 100020 Peoples R China Capital Med Univ Beijing Chaoyang Hosp Beijing Key Lab Hypertens Beijing 100020 Peoples R China Capital Med Univ Beijing Anzhen Hosp Beijing 100029 Peoples R China Inner Mongolia Med Univ Geriatr Ctr Affiliated Hosp Hohhot 010059 Inner Mongolia Peoples R China Mudan Peoples Hosp Heze 274000 Shandong Peoples R China

Background Coronary artery disease (CAD) is a major public health concern, yet reliable sources of relevant information are limited. TikTok, a popular social media platform in China, hosts diverse health-related videos, including those on CAD;however, their quality varies and is largely unassessed. Objective This study aimed to investigate the quality of CAD-related videos on TikTok and explore the correlation between video characteristics and high-quality videos. Methods A total of 122 CAD-related short videos on TikTok were analyzed on July 18, 2023. Basic video information and sources were extracted. Two evaluators independently scored each video using DISCERN (a health information quality scale), the Patient Education Materials Assessment Tool (PEMAT) and the Health on the Net (honcode) scales. Videos were categorized into four groups based on their source, with the medical professional group further categorized by job titles. Simple linear analysis was used to examine the linear relationship across different scales and to explore the relationship between video characteristics (video length, time since posting, the number of "likes", comments and "favorites", and the number of followers of the video creator) and different scales. Results AQVideos were categorized into four groups based on their source: medical professionals (n = 98, 80.3%), user-generated content (n = 11, 9.0%), news programs (n = 4, 3.3%), and health agencies or organizations (n = 9, 7.4%). The score of DISCERN was 46.5 +/- 7.6/80, the score rate of PEMAT was 79.2 +/- 12.6%/100%, and the number of score items for honcode was 1.4 +/- 0.6/8. In Sect. 1 of DISCERN, user-generated content scored highest (29.1 +/- 3.6), followed by medical professionals (28.6 +/- 2.4), health agencies or organizations (28.0 +/- 0.0) and news programs (28.0 +/- 0.0)(P = 0.047). In honcode, most videos met only one or two of the eight evaluation criteria. PEMAT scores varied slightly across categories without signific

关键词： TikTok Short video Quality evaluation DISCERN PEMAT honcode

来源：评论

学校读者我要写书评

暂无评论

Evaluation of TikTok videos on acute pancreatitis: content quality and reliability analysis

引用

BMC PUBLIC HEALTH 2024年第1期24卷 1页

作者： Mao, Tianyang Zhao, Xin Jiang, Kangyi Yang, Jie Xie, Qingyun Fu, Jinqiang Du, Bo Lei, Zehua Gao, Fengwei Peoples Hosp Leshan Dept Hepatopancreatobiliary Surg 238 Baita St Leshan 614000 Peoples R China Diag & Treatment Ctr Liver Gallbladder Pancreas & Leshan Peoples R China Sichuan Univ West China Hosp Liver Transplantat Ctr State Key Lab Biotherapy & Canc Ctr Chengdu Peoples R China Collaborat Innovat Ctr Biotherapy Chengdu Peoples R China North Sichuan Med Coll Nanchong Peoples R China

Background Acute pancreatitis (AP) is a common acute digestive system disorder, with patients often turning to TikTok for AP-related information. However, the platform's video quality on AP has not been thoroughly investigated. Objective The main purpose of this study is to evaluate the quality of videos about AP on TikTok, and the secondary purpose is to study the related factors of video quality. Methods This study involved retrieving AP-related videos from TikTok, determining, and analyzing them based on predefined inclusion and exclusion criteria. Relevant data were extracted and compiled for evaluation. Video quality was scored using the DISCERN instrument and the Health on the Net (honcode) score, complemented by introducing the Acute Pancreatitis Content Score (APCS). Pearson correlation analysis was used to assess the correlation between video quality scores and user engagement metrics such as likes, comments, favorites, retweets, and video duration. Results A total of 111 TikTok videos were included for analysis, and video publishers were composed of physicians (89.18%), news media organizations (13.51%), individual users (5.41%), and medical institutions (0.9%). The majority of videos focused on AP-related educational content (64.87%), followed by physicians' diagnostic and treatment records (15.32%), and personal experiences (19.81%). The mean scores for DISCERN, honcode, and APCS were 33.05 +/- 7.87, 3.09 +/- 0.93, and 1.86 +/- 1.30, respectively. The highest video scores were those posted by physicians (35.17 +/- 7.02 for DISCERN, 3.31 +/- 0.56 for honcode, and 1.94 +/- 1.34 for APCS, respectively). According to the APCS, the main contents focused on etiology (n=55, 49.5%) and clinical presentations (n=36, 32.4%), followed by treatment (n=24, 21.6%), severity (n=20, 18.0%), prevention (n=19, 17.1%), pathophysiology (n=17, 15.3%), definitions (n=13, 11.7%), examinations (n=10, 9%), and other related content. There was no correlation between the scores of

关键词： TikTok Acute pancreatitis Social media Video platform Public safety DISCERN Online health information honcode

来源：评论

学校读者我要写书评

暂无评论

Are allergic conjunctivitis videos on YouTube a reliable source of information?

引用

EXPERT REVIEW OF OPHTHALMOLOGY 2023年第6期18卷 429-434页

作者： Tiskaoglu, Nesime Setge Seyyar, Sevim Ayca Sosyal, Gizem Gurbostan Dr Ersin Arslan Educ & Res Hosp Ophthalmol Dept Gaziantep Turkiye Gaziantep Univ Hosp Ophthalmol Dept Gaziantep Turkiye Ersin Arslan Res & Educ Hosp Gaziantep Turkiye

BackgroundSocial media as well as YouTube are widely used to gain information on medical conditions. We aimed to assess and evaluate the quality and reliability of YouTube videos on ocular allergies and determine whether they are a trustworthy source of *** design and methodsThe first 60 videos from the search terms 'allergic conjunctivitis', 'atopic conjunctivitis', 'allergic conjunctivitis symptoms', and 'allergic conjunctivitis eye drops' were analyzed using modified DISCERN, Global Quality Score, Journal of the American Medical Association scores, and Health on the Net Code criteria. The total number of views, view ratio, likes, comments, and duration were recorded, and videos were evaluated as useful, non-useful, and *** average mDISCERN score for the videos was 3.25 +/- 0.76 (moderate), the average JAMA score was 2.76 +/- 0.64 (intermediate), the average GQS score was 3.13 +/- 0.8 (intermediate), and the average honcode score was 7.8 +/- 2.6 (intermediate). The most common video source was health professionals (61.9%).ConclusionsVideos on allergic conjunctivitis while having reliable publishers are of moderate quality. Quality regulation of content uploaded on allergic conjunctivitis is needed. Health professionals should try to improve video content and provide more information on the treatment of allergic conjunctivitis.

关键词： Allergic diseases YouTube ocular allergy allergic conjunctivitis mDISCERN JAMA GQS honcode

来源：评论

学校读者我要写书评

暂无评论

Automated Detection of Health Websites' honcode Conformity: Can N-gram Tokenization Replace Stemming? 15

Automated Detection of Health Websites' HONcode Conformity: ...

引用

15th World Congress on Health and Biomedical Informatics (MEDINFO)

作者： Boyer, Celia Dolamic, Ljiljana Grabar, Natalia Hlth Net Fdn Geneva Switzerland Univ Lille 3 Villeneuve Dascq France

ISBN: (纸本)9781614995647;9781614995630

Authors evaluated supervised automatic classcation algorithms for determination of health related web page compliance with individual honcode criteria of conduct using varying length character n-gram vectors to represent healthcare web page documents. The training/testing collection comprised web page fragments extracted by honcode experts during the manual certification process. The authors compared automated classification performance of n-gram tokenization to the automated classcation performance of document words and Porter-stemmed document words using a Naive Bayes classifier and DF (document frequency) dimensionality reduction metrics. The study attempted to determine whether the automated, language-independent approach might safely replace word-based classification. Using 5 grams as document features, authors also compared the baseline DF reduction function to Chi-square and Z-score dimensionality reductions. Overall study results indicate that n gram tokenization provided a potentially viable alternative to document word stemming.

关键词： Machine learning N-gram honcode

来源：评论

学校读者我要写书评

暂无评论

Language independent tokenization vs. stemming in automated detection of health websites' honcode conformity: An Evaluation

Language independent tokenization vs. stemming in automated ...

引用

Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)

作者： Boyer, Celia Dolamic, Ljiljana Falquet, Gilles Hlth Net Fdn Geneva Switzerland Univ Geneva Geneva Switzerland

Authors evaluated supervised automatic classification algorithms for determination of health related web-page compliance with individual honcode criteria of conduct (***/***). The current study used varying length character n-gram vectors to represent healthcare web page documents - not the traditional approach of using word vectors. The training/testing collection comprised web page fragments that honcode experts had cited as the basis for individual honcode compliance during the manual certification process (described below). The authors compared automated classification performance of n-gram tokenization to the automated classification performance of document words and Porter-stemmed document words using a Naive Bayes classifier and DF (document frequency) dimensionality reduction metrics. The study attempted to determine whether the automated, language-independent approach might safely replace single word-based classification. Using 5-grams as document features, authors also compared the baseline DF reduction function to Chi-square and Z-score dimensionality reductions. While the Z-score approach statistically significantly improved precision for some honcode compliance components, the Chi-square performance was unreliable, performing very well for some criteria and poorly for others. Overall study results indicate that n-gram tokenization provide a potentially viable alternative to document word stemming. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Machine learning N-gram honcode

来源：评论

学校读者我要写书评

暂无评论

Comparative Assessment of Online Written Health Information on Treatment of Erectile Dysfunction in English and Hindi Language Webpages

Journal of Psychosexual Health

引用

Journal of Psychosexual Health 2024年第1期6卷 74 - 82页

作者： Rahul Mathur Swarndeep Singh Saurabh Kumar Sarthak Kukreja Pawan Sharma Department of Psychiatry All India Institute of Medical Sciences New Delhi Delhi India Department of Psychiatry Vardhman Mahavir Medical College (VMMC) & Safdarjung Hospital Delhi India Department of Psychiatry RDJM Medical College Muzaffarpur Bihar India Department of Psychiatry Patan Academy of Health Sciences School of Medicine Lalitpur Nepal

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：