Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Ka Siu, Ghani, Shahi Abdul, Machairas, Nikolaos, Lenti, Lorenzo, Fan, Ka Hay, Richardson, Daniel, Scott, Aneya, Raptis, Dimitri Aristotle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485261/
https://www.ncbi.nlm.nih.gov/pubmed/32912996
http://dx.doi.org/10.1136/bmjopen-2020-040487
_version_ 1783581121859026944
author Fan, Ka Siu
Ghani, Shahi Abdul
Machairas, Nikolaos
Lenti, Lorenzo
Fan, Ka Hay
Richardson, Daniel
Scott, Aneya
Raptis, Dimitri Aristotle
author_facet Fan, Ka Siu
Ghani, Shahi Abdul
Machairas, Nikolaos
Lenti, Lorenzo
Fan, Ka Hay
Richardson, Daniel
Scott, Aneya
Raptis, Dimitri Aristotle
author_sort Fan, Ka Siu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7485261
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-74852612020-09-18 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 BMJ Open Health Informatics 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. BMJ Publishing Group 2020-09-10 /pmc/articles/PMC7485261/ /pubmed/32912996 http://dx.doi.org/10.1136/bmjopen-2020-040487 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Informatics
Fan, Ka Siu
Ghani, Shahi Abdul
Machairas, Nikolaos
Lenti, Lorenzo
Fan, Ka Hay
Richardson, Daniel
Scott, Aneya
Raptis, Dimitri Aristotle
COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title_full COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title_fullStr COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title_full_unstemmed COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title_short COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
title_sort covid-19 prevention and treatment information on the internet: a systematic analysis and quality assessment
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485261/
https://www.ncbi.nlm.nih.gov/pubmed/32912996
http://dx.doi.org/10.1136/bmjopen-2020-040487
work_keys_str_mv AT fankasiu covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT ghanishahiabdul covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT machairasnikolaos covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT lentilorenzo covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT fankahay covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT richardsondaniel covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT scottaneya covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment
AT raptisdimitriaristotle covid19preventionandtreatmentinformationontheinternetasystematicanalysisandqualityassessment