scholarly journals Misinformation of COVID-19 on the Internet: Infodemiology Study (Preprint)

2020 ◽  
Author(s):  
Jose Yunam Cuan-Baltazar ◽  
Maria José Muñoz-Perez ◽  
Carolina Robledo-Vega ◽  
Maria Fernanda Pérez-Zepeda ◽  
Elena Soto-Vega
Keyword(s):  
Health Information ◽  
Code Of Conduct ◽  
Search Time ◽  
Quality Criteria ◽  
The Internet ◽  
Online Information ◽  
Health Crisis ◽  
Novel Coronavirus ◽  
Search For Information

BACKGROUND The internet has become an important source of health information for users worldwide. The novel coronavirus caused a pandemic search for information with broad dissemination of false or misleading health information. OBJECTIVE The aim of this study was to evaluate the quality and readability of online information about the coronavirus disease (COVID-19), which was a trending topic on the internet, using validated instruments and relating the quality of information to its readability. METHODS The search was based on the term “Wuhan Coronavirus” on the Google website (February 6, 2020). At the search time, the terms “COVID-19” or “SARS-CoV-2” (severe acute respiratory syndrome coronavirus 2) did not exist. Critical analysis was performed on the first 110 hits using the Health on the Net Foundation Code of Conduct (HONcode), the Journal of the American Medical Association (JAMA) benchmark, the DISCERN instrument, and Google ranking. RESULTS The first 110 websites were critically analyzed, and only 1.8% (n=2) of the websites had the HONcode seal. The JAMA benchmark showed that 39.1% (n=43) of the websites did not have any of the categories required by this tool, and only 10.0% (11/110) of the websites had the four quality criteria required by JAMA. The DISCERN score showed that 70.0% (n=77) of the websites were evaluated as having a low score and none were rated as having a high score. CONCLUSIONS Nonhealth personnel and the scientific community need to be aware about the quality of the information they read and produce, respectively. The Wuhan coronavirus health crisis misinformation was produced by the media, and the misinformation was obtained by users from the internet. The use of the internet has a risk to public health, and, in cases like this, the governments should be developing strategies to regulate health information on the internet without censuring the population. By February 6, 2020, no quality information was available on the internet about COVID-19.

scholarly journals Misinformation of COVID-19 on the Internet: Infodemiology Study

10.2196/18444 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e18444 ◽  
Author(s):  
Jose Yunam Cuan-Baltazar ◽  
Maria José Muñoz-Perez ◽  
Carolina Robledo-Vega ◽  
Maria Fernanda Pérez-Zepeda ◽  
Elena Soto-Vega
Keyword(s):  
Health Information ◽  
Code Of Conduct ◽  
Search Time ◽  
Quality Criteria ◽  
The Internet ◽  
Online Information ◽  
Health Crisis ◽  
Novel Coronavirus ◽  
Search For Information

Background The internet has become an important source of health information for users worldwide. The novel coronavirus caused a pandemic search for information with broad dissemination of false or misleading health information. Objective The aim of this study was to evaluate the quality and readability of online information about the coronavirus disease (COVID-19), which was a trending topic on the internet, using validated instruments and relating the quality of information to its readability. Methods The search was based on the term “Wuhan Coronavirus” on the Google website (February 6, 2020). At the search time, the terms “COVID-19” or “SARS-CoV-2” (severe acute respiratory syndrome coronavirus 2) did not exist. Critical analysis was performed on the first 110 hits using the Health on the Net Foundation Code of Conduct (HONcode), the Journal of the American Medical Association (JAMA) benchmark, the DISCERN instrument, and Google ranking. Results The first 110 websites were critically analyzed, and only 1.8% (n=2) of the websites had the HONcode seal. The JAMA benchmark showed that 39.1% (n=43) of the websites did not have any of the categories required by this tool, and only 10.0% (11/110) of the websites had the four quality criteria required by JAMA. The DISCERN score showed that 70.0% (n=77) of the websites were evaluated as having a low score and none were rated as having a high score. Conclusions Nonhealth personnel and the scientific community need to be aware about the quality of the information they read and produce, respectively. The Wuhan coronavirus health crisis misinformation was produced by the media, and the misinformation was obtained by users from the internet. The use of the internet has a risk to public health, and, in cases like this, the governments should be developing strategies to regulate health information on the internet without censuring the population. By February 6, 2020, no quality information was available on the internet about COVID-19.

scholarly journals High tibial osteotomy: A review of the readability and quality of patient information on the internet

2021 ◽  
Vol 11 (3) ◽  
pp. 323-328
Author(s):  
Matthew Clark ◽  
Ian Colin Baxter ◽  
Matthew Hampton ◽  
Robert D Sandler ◽  
Andrew Legg
Keyword(s):  
Decision Making ◽  
High Tibial Osteotomy ◽  
Patient Information ◽  
Code Of Conduct ◽  
The Internet ◽  
Online Information ◽  
Tibial Osteotomy ◽  
Common Procedure ◽  
Flesch Reading Ease

Background: High tibial osteotomy (HTO) is a common procedure performed for unicompartmental knee osteoarthritis (OA). Patients are increasingly using the internet to research surgical procedures to help aid decision making. Our aim was to assess the readability and quality of information available to patients online relating to HTO. Methods: A systematic review of three search engines Google, Bing, and Yahoo using the search terms "high tibial osteotomy" and "tibial osteotomy" separately was performed. The first three pages of results for each search engine were analyzed. Readability was assessed using the Flesch Reading Ease Scale (FRES), Flesch-Kincaid Grade level (FKGL) and the Simple Measure of Gobbledygook formula (SMOG). Quality was assessed with the DISCERN questionnaire, JAMAbenchmarks and the presence of Health on the Net Foundation Code of Conduct (HONCode). Results: Twenty-four webpages were included after duplicates (n=42) and exclusions (n=24).The overall readability was low, with a mean FRES of 53.2 (SD: 9.1), FKGL 10.7 (SD: 1.8),SMOG 10.4 (SD: 1.5). Quality was also low with a mean DISCERN score of 42 (SD: 12.3).None of the webpages fulfilled all of the JAMA benchmarking criteria and only 2/24 (8.3%)webpages possessed HONCode certification. Conclusion: The overall online information available to patient’s considering HTO is of lowreadability and quality. Improving the quality and readability of patient information online willbenefit informed patient decision making before HTO surgery.

A cross-sectional study on quality of diabetes information identified from the Internet (Preprint)

2019 ◽  
Author(s):  
Jingchun Fan ◽  
Jean Craig ◽  
Na Zhao ◽  
Fujian Song
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
The Internet ◽  
Online Health Information ◽  
Online Information ◽  
Significant Difference ◽  
Content Coverage ◽  
Google Search

BACKGROUND Increasingly people seek health information from the Internet, in particular, health information on diseases that require intensive self-management, such as diabetes. However, the Internet is largely unregulated and the quality of online health information may not be credible. OBJECTIVE To assess the quality of online information on diabetes identified from the Internet. METHODS We used the single term “diabetes” or equivalent Chinese characters to search Google and Baidu respectively. The first 50 websites retrieved from each of the two search engines were screened for eligibility using pre-determined inclusion and exclusion criteria. Included websites were assessed on four domains: accessibility, content coverage, validity and readability. RESULTS We included 26 websites from Google search engine and 34 from Baidu search engine. There were significant differences in website provider (P<0.0001), but not in targeted population (P=0.832) and publication types (P=0.378), between the two search engines. The website accessibility was not statistically significantly different between the two search engines, although there were significant differences in items regarding website content coverage. There was no statistically significant difference in website validity between the Google and Baidu search engines (mean Discern score 3.3 vs 2.9, p=0.156). The results to appraise readability for English website showed that that Flesch Reading Ease scores ranged from 23.1 to 73.0 and the mean score of Flesch-Kincaid Grade Level ranged range from 5.7 to 19.6. CONCLUSIONS The content coverage of the health information for patients with diabetes in English search engine tended to be more comprehensive than that from Chinese search engine. There was a lack of websites provided by health organisations in China. The quality of online health information for people with diabetes needs to be improved to bridge the knowledge gap between website service and public demand.

Quality of information about mental disease on the Internet: A comparative and longitudinal study of entries form Baidu Encyclopedia and Wikipedia (Preprint)

2021 ◽  
Author(s):  
Jing Ma ◽  
Lisha Jiang ◽  
Jianchen Luo ◽  
Linli Zheng ◽  
Meiou Wang ◽  
...  
Keyword(s):  
Health Information ◽  
Medical Information ◽  
Mental Disease ◽  
Information Service ◽  
The Internet ◽  
Positive Trend ◽  
Online Information ◽  
Disease Information ◽  
Medical Network

BACKGROUND The Internet has evolved the approaches of medical information spread. Demands of online information searching on mental disease expanded. The Wikipedia and Baidu Encyclopedia are popular information source. Websites with information on mental disease have not been systematically evaluated. OBJECTIVE The research aimed to estimate the quality of mental disease information on the internet and to evaluate all aspects including timeliness to value the information quality from Baidu Encyclopedia and Wikipedia to help users to make better choice. Besides, establishing a perfect relevant online health information examine and supervision system, in order to satisfy public self-help mental medical information service needs. METHODS We retrieved the entries on mental disease from the International Statistical Classification of Diseases and Related Health Problems 10th Revision Version 2016 codes on Wikipedia (in English) and Baidu Encyclopedia (in Chinese) in 2018 and 2021. Subject sites were accessed by DISCERN. The comparison between 2 engines as well as 3 years follow-up and timeliness were calculated. RESULTS The number of entries on mental disease we found in 2018 is 34 on Baidu Encyclopedia and 36 on Wikipedia and 37 entries on both Baidu Encyclopedia and Wikipedia in 2021. In 2018, the DISCERN score of Baidu Encyclopedia entries in section 1 and section 3 were lower than those of Wikipedia articles (11.21±4.57 vs 26.25±3.21, p<.001; 2.06±.74 vs 2.53±.94, p<.05). Significantly differences can also be found in total score and all sections in 2021 between 2 engines (total score, 26.29±11.03 vs 44.31±9.77, all 3 sections, p<.001). The DISCERN score of Wikipedia articles during 3 years showed significant increase (all 3 sections, p<.001; total, p<.001). The mean update interval varies greatly from Baidu Encyclopedia (824.79 days in 2018; 945.73 days in 2021) to Wikipedia (34.17 days in 2018;50.46 days in 2021) (p<.001). CONCLUSIONS Despite the general poor quality of mental disease entries in both two engines, Wikipedia expressed to be a better source of online mental disease information compared to Baidu Encyclopedia, with higher reliability, better treatment advice and shorter update interval. Our findings reflected the existing deficit of general website mental health information, suggested a reference for further and better medical network information order. Based on this foundation, it is essential to encourage people to seek professional help rather than believe the ambiguous source information from Internet. The quality of these entries has been improved during 3 years. This positive trend is encouraging that we can expect better online information service in the coming future.

A critical analysis of the literature on the Internet and consumer health information

2005 ◽  
Vol 11 (1_suppl) ◽  
pp. 41-43 ◽  
Author(s):  
J A Powell ◽  
P Lowe ◽  
F E Griffiths ◽  
M Thorogood
Keyword(s):  
Health Care ◽  
Health Information ◽  
Critical Analysis ◽  
Virtual Communities ◽  
Consumer Health Information ◽  
The Internet ◽  
Online Information ◽  
Consumer Health ◽  
Online Social Support

A critical review of the published literature investigating the Internet and consumer health information was undertaken in order to inform further research and policy. A qualitative, narrative method was used, consisting of a three-stage process of identification and collation, thematic coding, and critical analysis. This analysis identified five main themes in the research in this area: (1) the quality of online health information for consumers; (2) consumer use of the Internet for health information; (3) the effect of e-health on the practitioner-patient relationship; (4) virtual communities and online social support and (5) the electronic delivery of information-based interventions. Analysis of these themes revealed more about the concerns of health professionals than about the effect of the Internet on users. Much of the existing work has concentrated on quantifying characteristics of the Internet: for example, measuring the quality of online information, or describing the numbers of users in different health-care settings. There is a lack of qualitative research that explores how citizens are actually using the Internet for health care.

Quality of Novel coronavirus related health information over the Internet: An evaluation study (Preprint)

2020 ◽  
Author(s):  
Ashish Joshi ◽  
Fnu Kajal ◽  
Priya Sharma ◽  
Ashruti Bhatt ◽  
Kanishk Kumar ◽  
...  
Keyword(s):  
Health Information ◽  
Information Dissemination ◽  
Keyword Search ◽  
Large Family ◽  
Evaluation Study ◽  
The Internet ◽  
Kappa Statistics ◽  
Quality Of Information ◽  
Novel Coronavirus

BACKGROUND A Coronavirus (COVID-19) outbreak was declared a pandemic by the WHO on March 11, 2020. The 2019 n-CoV is a virus that is known to belong to a large family of coronaviruses which have affected the human kind in the past also like; SARS-CoV, MERS-CoV. As of today, April 12 2020, there are 1.78 million total Coronavirus Cases, 108,880 deaths and 404,581 recovered cases. Public health experts worry that the spread of COVID-19 could be worsened by misinformation. It is important to analyze the information available on the internet in regard to COVID-19. OBJECTIVE To evaluate quality of COVID-19 related health information over the internet using DISCERN tool. METHODS 100 URLs were generated by search engine Google in March 2020 by selecting the first 20 websites that appeared in the results of various keyword search. The keywords used in this search included “Coronavirus”, “Coronavirus causes”, “Coronavirus diagnosis”, “Coronavirus prevention” and “Coronavirus management”. The 16 item DISCERN tool was used to evaluate the quality of COVID-19 related information available on internet. Inter-rater reliability agreement was calculated using kappa statistics. RESULTS Results showed variation in how the raters assigned scores to different website categories. The lowest scores were received by .com websites. Results showed that .edu and .org, website category sites were excellent in communicating novel coronavirus related health information; however, they received lower scores for treatment effect and treatment choices. CONCLUSIONS The critical gaps in the available quality of information were assessed in context to COVID-19 and help us to evaluate the quality of information available and can guide the users to choose between various websites. If inaccurate information is being spread, that site should be closed down or some regulatory provisions should also be framed in this regard. One recommendation could be that websites, once ranked with trust marks, can be popularized to public for better information dissemination.

scholarly journals Quality of Novel Coronavirus Related Health Information over the Internet: An Evaluation Study

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Ashish Joshi ◽  
Fnu Kajal ◽  
Soumitra S. Bhuyan ◽  
Priya Sharma ◽  
Ashruti Bhatt ◽  
...  
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Evaluation Study ◽  
World Health ◽  
The Internet ◽  
Search Term ◽  
The Novel ◽  
Related Information ◽  
Novel Coronavirus

Background. The novel coronavirus disease (COVID-19) has spread globally from its epicenter in Hubei, China, and was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. The most popular search engine worldwide is Google, and since March 2020, COVID-19 has been a global trending search term. Misinformation related to COVID-19 from these searches is a problem, and hence, it is of high importance to assess the quality of health information over the internet related to COVID-19. The objective of our study is to examine the quality of COVID-19 related health information over the internet using the DISCERN tool. Methods. The keywords included in assessment of COVID-19 related information using Google’s search engine were “Coronavirus,” “Coronavirus causes,” “Coronavirus diagnosis,” “Coronavirus prevention,” and “Coronavirus management”. The first 20 websites from each search term were gathered to generate a list of 100 URLs. Duplicate sites were excluded from this search, allowing analysis of unique sites only. Additional exclusion criteria included scientific journals, nonoperational links, nonfunctional websites (where the page was not loading, was not found, or was inactive), and websites in languages other than English. This resulted in a unique list of 48 websites. Four independent raters evaluated the websites using a 16-item DISCERN tool to assess the quality of novel coronavirus related information available on the internet. The interrater reliability agreement was calculated using the intracluster correlation coefficient. Results. Results showed variation in how the raters assigned scores to different website categories. The .com websites received the lowest scores. Results showed that .edu and .org website category sites were excellent in communicating coronavirus related health information; however, they received lower scores for treatment effect and treatment choices. Conclusion. This study highlights the gaps in the quality of information that is available on the websites related to COVID-19 and study emphasizes the need for verified websites that provide evidence-based health information related to the novel coronavirus pandemic.

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

A Tool for Quantifying the Quality of Online Health Information on Student Health Center Websites (Preprint)

2021 ◽  
Author(s):  
Anagha Kulkarni ◽  
Mike Wong ◽  
Tejasvi Belsare ◽  
Risha Shah ◽  
Diana Yu Yu ◽  
...  
Keyword(s):  
Public Health ◽  
Young Adults ◽  
Health Center ◽  
Health Information ◽  
Information Quality ◽  
Online Health Information ◽  
Student Health ◽  
Online Information ◽  
Student Health Center

BACKGROUND The Internet has become a major source of health information especially for adolescents and young adults. Unfortunately, inaccurate, incomplete or outdated health information is widespread online. Often adolescents and young adults turn to authoritative websites such as the student health center (SHC) website of the university they are attending to obtain reliable health information. Although most on-campus SHC clinics comply with the American College Health Association (ACHA) standards, their websites are not subject to any standards or code of conduct. In the absence of quality standards or guidelines, the monitoring and compliance processes do not exist for SHC websites either. As such, there is no oversight on the health information published on the SHC websites by any central governing body. OBJECTIVE Our objective is to enable researchers to monitor online information quality at scale. We have created a tool that can efficiently quantify the quality of information posted on SHC websites about a health topic. Specifically, this quantitative tool provides information on quality, such as reading ease, coverage of the topic, and the degree of fact-based objective information. METHODS Our cross-functional team has designed and developed an open-source software, QMOHI: Quantitative Measures of Online Health Information, using the Agile software development methodology. The QMOHI tool finds the SHC website and gathers information on the specific health topic of interest from a prespecified list of university websites. Based on the retrieved text, the tool computes eight different quality metrics. The QMOHI tool is a fully automated tool that is designed to be scalable, generalizable, and robust. RESULTS The first empirical evaluation shows that the QMOHI tool is highly scalable and substantially more efficient than the manual approach of assessing online information quality. The second experimental results demonstrate QMOHI’s ability to work effectively with starkly different health topics (COVID, Cancer, LARC, and Condom) and with narrowly focused topics (hormonal IUD and copper IUD); thereby establishing the generalizability and versatility of the tool. The results from the last experiment demonstrate that QMOHI is not vulnerable to typical structural changes that SHC websites may undergo (e.g. URL changes) over a long period of time. QMOHI is able to support longitudinal studies by being robust to such website changes. CONCLUSIONS QMOHI allows public health researchers and practitioners to conduct large-scale studies of SHC websites that were previously too time intensive. The capability to generalize broadly or focus narrowly allows for wide applications of QMOHI, equipping researchers to study both mainstream and underexplored health topics. QMOHI’s ability to robustly analyze SHC websites periodically facilitates longitudinal investigations and monitor SHC progress. QMOHI serves as a launching pad for our future work that aims to develop a broadly applicable public health tool for online health information studies with potential applications far beyond SHC websites.

scholarly journals Protocol paper for the ‘Harnessing resources from the internet to maximise outcomes from GP consultations (HaRI)’ study: a mixed qualitative methods study

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e024188
Author(s):  
Maureen Seguin ◽  
Laura Hall ◽  
Helen Atherton ◽  
Rebecca Barnes ◽  
Geraldine Leydon ◽  
...  
Keyword(s):  
Health Information ◽  
Current Evidence ◽  
The Internet ◽  
Online Health Information ◽  
Online Information ◽  
Wide Range ◽  
Patient Questionnaires ◽  
Ethical Approval ◽  
Use Of The Internet ◽  
Questionnaire Studies

IntroductionMany patients now turn to the internet as a resource for healthcare information and advice. However, patients’ use of the internet to manage their health has been positioned as a potential source of strain on the doctor–patient relationship in primary care. The current evidence about what happens when internet-derived health information is introduced during consultations has relied on qualitative data derived from interview or questionnaire studies. The ‘Harnessing resources from the internet to maximise outcomes from GP consultations (HaRI)’ study combines questionnaire, interview and video-recorded consultation data to address this issue more fully.Methods and analysisThree data collection methods are employed: preconsultation patient questionnaires, video-recorded consultations between general practitioners (GP) and patients, and semistructured interviews with GPs and patients. We seek to recruit 10 GPs practising in Southeast England. We aim to collect up to 30 patient questionnaires and video-recorded consultations per GP, yielding up to 300. Up to 30 patients (approximately three per participating GP) will be selected for interviews sampled for a wide range of sociodemographic characteristics, and a variety of ways the use of, or information from, the internet was present or absent during their consultation. We will interview all 10 participating GPs about their views of online health information, reflecting on their own usage of online information during consultations and their patients’ references to online health information. Descriptive, conversation and thematic analysis will be used respectively for the patient questionnaires, video-recorded consultations and interviews.Ethics and disseminationEthical approval has been granted by the London–Camden & Kings Cross Research Ethics Committee. Alongside journal publications, dissemination activities include the creation of a toolkit to be shared with patients and doctors, to guide discussions of material from the internet in consultations.

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