{"title":"基于HON原则和使用DISCERN工具对COVID-19网站质量的评价。","authors":"Reza Safdari PhD, Marsa Gholamzadeh MSc, Soheila Saeedi MSc, Mozhgan Tanhapour MSc, Sorayya Rezayi MSc","doi":"10.1111/hir.12454","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>As many people relied on information from the Internet for official scientific or academically affiliated information during the COVID-19 pandemic, the quality of information on those websites should be good.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>The main purpose of this study was to evaluate a selection of COVID-19-related websites for the quality of health information provided.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>Using Google and Yahoo, 36 English language websites were selected, in accordance with the inclusion criteria. The two tools were selected for evaluation were the Health on the Net (HON) Code and the 16-item DISCERN tool.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Most websites (39%) were related to information for the public, and a small number of them (3%) concerned screening websites in which people could be informed of their possible condition by entering their symptoms. The result of the evaluation by the HON tool showed that most websites were reliable (53%), and 44% of them were very reliable. Based on the assessment results of the Likert-based 16-item DISCERN tool, the maximum and minimum values for the average scores of each website were calculated as 2.44 and 4.25, respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Evaluation using two widely accepted tools shows that most websites related to COVID-19 are reliable and useful for physicians, researchers and the public.</p>\n </section>\n </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539229/pdf/HIR-9999-0.pdf","citationCount":"2","resultStr":"{\"title\":\"An evaluation of the quality of COVID-19 websites in terms of HON principles and using DISCERN tool\",\"authors\":\"Reza Safdari PhD, Marsa Gholamzadeh MSc, Soheila Saeedi MSc, Mozhgan Tanhapour MSc, Sorayya Rezayi MSc\",\"doi\":\"10.1111/hir.12454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>As many people relied on information from the Internet for official scientific or academically affiliated information during the COVID-19 pandemic, the quality of information on those websites should be good.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The main purpose of this study was to evaluate a selection of COVID-19-related websites for the quality of health information provided.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>Using Google and Yahoo, 36 English language websites were selected, in accordance with the inclusion criteria. The two tools were selected for evaluation were the Health on the Net (HON) Code and the 16-item DISCERN tool.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Most websites (39%) were related to information for the public, and a small number of them (3%) concerned screening websites in which people could be informed of their possible condition by entering their symptoms. The result of the evaluation by the HON tool showed that most websites were reliable (53%), and 44% of them were very reliable. Based on the assessment results of the Likert-based 16-item DISCERN tool, the maximum and minimum values for the average scores of each website were calculated as 2.44 and 4.25, respectively.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Evaluation using two widely accepted tools shows that most websites related to COVID-19 are reliable and useful for physicians, researchers and the public.</p>\\n </section>\\n </div>\",\"PeriodicalId\":47580,\"journal\":{\"name\":\"Health Information and Libraries Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539229/pdf/HIR-9999-0.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Information and Libraries Journal\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/hir.12454\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Information and Libraries Journal","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/hir.12454","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
An evaluation of the quality of COVID-19 websites in terms of HON principles and using DISCERN tool
Background
As many people relied on information from the Internet for official scientific or academically affiliated information during the COVID-19 pandemic, the quality of information on those websites should be good.
Objective
The main purpose of this study was to evaluate a selection of COVID-19-related websites for the quality of health information provided.
Method
Using Google and Yahoo, 36 English language websites were selected, in accordance with the inclusion criteria. The two tools were selected for evaluation were the Health on the Net (HON) Code and the 16-item DISCERN tool.
Results
Most websites (39%) were related to information for the public, and a small number of them (3%) concerned screening websites in which people could be informed of their possible condition by entering their symptoms. The result of the evaluation by the HON tool showed that most websites were reliable (53%), and 44% of them were very reliable. Based on the assessment results of the Likert-based 16-item DISCERN tool, the maximum and minimum values for the average scores of each website were calculated as 2.44 and 4.25, respectively.
Conclusion
Evaluation using two widely accepted tools shows that most websites related to COVID-19 are reliable and useful for physicians, researchers and the public.
期刊介绍：
Health Information and Libraries Journal (HILJ) provides practitioners, researchers, and students in library and health professions an international and interdisciplinary forum. Its objectives are to encourage discussion and to disseminate developments at the frontiers of information management and libraries. A major focus is communicating practices that are evidence based both in managing information and in supporting health care. The Journal encompasses: - Identifying health information needs and uses - Managing programmes and services in the changing health environment - Information technology and applications in health - Educating and training health information professionals - Outreach to health user groups
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