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COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment

Ka Siu Fan, Shahi Ghani, Nikolaos Machairas, Lorenzo Lenti, Ka Hay Fan, Daniel Richardson, Aneya Scott, Dimitri Aristotle Raptis

2020BMJ Open92 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: To evaluate the quality of information regarding the prevention and treatment of COVID-19 available to the general public from all countries. DESIGN: ) benchmark (score 0-4) and the DISCERN Tool (score 16-80) to analyse websites containing information targeted at the general public. DATA SOURCES: Twelve popular search terms, including 'Coronavirus', 'COVID-19 19', 'Wuhan virus', 'How to treat coronavirus' and 'COVID-19 19 Prevention' were identified by 'Google AdWords' and 'Google Trends'. Unique links from the first 10 pages for each search term were identified and evaluated on its quality of information. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: All websites written in the English language, and provides information on prevention or treatment of COVID-19 intended for the general public were considered eligible. Any websites intended for professionals, or specific isolated populations, such as students from one particular school, were excluded, as well as websites with only video content, marketing content, daily caseload update or news dashboard pages with no health information. RESULTS: and DISCERN scores were 17.8, 2.7 and 38.0, respectively. Websites originated from 34 countries, with the majority from the USA (55%). News Services (50%) and Government/Health Departments (27%) were the most common sources of information and their information quality varied significantly. Majority of websites discuss prevention alone despite popular search trends of COVID-19 treatment. Websites discussing both prevention and treatment (n=73, 23%) score significantly higher across all tools (p<0.001). CONCLUSION: and DISCERN Tools indicate that most websites were inadequate. This necessitates improvements in online resources to facilitate public health measures during the pandemic.

Topics & Concepts

MedicinePublic healthThe InternetGovernment (linguistics)Quality (philosophy)MEDLINEFamily medicineCoronavirus disease 2019 (COVID-19)Quality ScoreWorld Wide WebNursingMarketingPathologyMetric (unit)DiseaseLinguisticsPhilosophyPolitical scienceLawBusinessInfectious disease (medical specialty)Computer scienceEpistemologyHealth Literacy and Information AccessibilityData-Driven Disease SurveillanceMisinformation and Its Impacts
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