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COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment.
Fan, Ka Siu; Ghani, Shahi Abdul; Machairas, Nikolaos; Lenti, Lorenzo; Fan, Ka Hay; Richardson, Daniel; Scott, Aneya; Raptis, Dimitri Aristotle.
Afiliação
  • Fan KS; St George's University Hospitals NHS Foundation Trust, London, UK.
  • Ghani SA; St George's University Hospitals NHS Foundation Trust, London, UK.
  • Machairas N; Department of HPB Surgery and Liver Transplant, Royal Free Hospital, London, UK.
  • Lenti L; St George's University Hospitals NHS Foundation Trust, London, UK.
  • Fan KH; Imperial College London, London, UK.
  • Richardson D; St George's University Hospitals NHS Foundation Trust, London, UK.
  • Scott A; St George's University Hospitals NHS Foundation Trust, London, UK.
  • Raptis DA; Department of HPB Surgery and Liver Transplant, Royal Free Hospital, London, UK Dimitri.Raptis@NHS.net.
BMJ Open ; 10(9): e040487, 2020 09 10.
Article em En | MEDLINE | ID: mdl-32912996
OBJECTIVE: To evaluate the quality of information regarding the prevention and treatment of COVID-19 available to the general public from all countries. DESIGN: Systematic analysis using the 'Ensuring Quality Information for Patients' (EQIP) Tool (score 0-36), Journal of American Medical Association (JAMA) 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: Of the 1275 identified websites, 321 (25%) were eligible for analysis. The overall EQIP, JAMA 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: This comprehensive assessment of online COVID-19 information using EQIP, JAMA and DISCERN Tools indicate that most websites were inadequate. This necessitates improvements in online resources to facilitate public health measures during the pandemic.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Internet / Informática em Saúde Pública / Pandemias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2020 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Internet / Informática em Saúde Pública / Pandemias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2020 Tipo de documento: Article País de publicação: Reino Unido