Abstract 249: Online Health Information for Myocardial Infarction: Trusted Source or Fake News?

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Vishak Kumar ◽  
Mohammed Abualenain ◽  
Andrew D Choi

Objective: As the internet is a leading destination for health information for patients, there is a need for this information to be accurate and easy to understand. In this study, we assessed the quality and readability of online health related information for myocardial infarction (MI) directed towards patients. Methods: Websites were collected from 3 search engines (Google, Yahoo! and Bing) using the search term “Heart Attack” on a newly installed Mozilla Firefox browser. The first 30 websites from each engine were selected and those belonging to advertisements, new articles and physician oriented sites were excluded. The resulting sites were assessed for quality using the DISCERN instrument via 2 physician investigators knowledgeable in MI and blinded to each other’s results; following this, the results were discussed amidst the team to agree on a coalesced score for each website. Health On the Net (HONcode) was also used as an added measure to assess quality. Readability was assessed using the Flesch-Kincaid Readability Ease (FLRE) and the Flesch-Kincaid Grade level (FLGL) tool. Results: Overall, 24 websites were assessed. The average overall quality for DISCERN was 2.58 out of 5 with a median of 2.5 while the average total DISCERN score was 37.75 out of 80; the highest total quality among them being 61 out of 80. Only 29.17% (7 of 24) of the websites were HONcode certified. The average FLRE was 59.07 out of 100, while the average FLGL was 7.28 with the lowest grade level being 5.20. Conclusion: Patient health related information, on average, were of lower quality, while those higher quality websites were deemed less readable and needed a higher level of education to understand. The average reading grade level was that of the 7 th grade which is lower than what the average American reads at (8 th grade). The highest quality website based on total DISCERN score was from Wikipedia, however FLRE and FLGL tell us it was also harder to comprehend for the average American. Going forward there are important opportunities to improve the quality of online health related information for MI, in order to remain a trusted source of medical information for patients.

Author(s):  
Shruti Kohli ◽  
Sonia Saini

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.


2010 ◽  
Vol 92 (8) ◽  
pp. 1-3 ◽  
Author(s):  
TD Reid ◽  
C Beaton ◽  
IL Davies ◽  
D Arnold ◽  
JBM Ward ◽  
...  

Worldwide internet access is increasing exponentially. The UK Government Office for National Statistics reported that between 2002 and 2009 the proportion of UK households with internet access increased from 46% to 70%. Between 2007 and 2009 the proportion of UK adults using the internet to access health information rose from 27% to 42%. Similar situations exist in Continental Europe and the USA, where 52% of internet users and 61% of adults respectively search online for medical information. In 2003 it was estimated that 4.5% of all internet searches globally were for health related information. Moreover, patients now frequently choose to seek health information online. Indeed Hesse et al reported that almost one in two patients search the internet before consulting a physician.


2019 ◽  
pp. 786-804
Author(s):  
Shruti Kohli ◽  
Sonia Saini

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.


2018 ◽  
Vol 3 (3) ◽  
pp. 247301141878249 ◽  
Author(s):  
Mostafa M. Abousayed ◽  
Jason P. Tartaglion ◽  
Samuel Zonshayn ◽  
Navdeep Rai ◽  
Christopher K. Johnson ◽  
...  

Background: The Internet has drastically changed how patients access health-related information. There are several ways the public can access online health-related information such as search engines, blogs, support groups, and webinars. A recent study found that 45% of orthopedic patients searched for information online regarding their injury. Also, 78% believed they had better understanding of their condition after visiting these websites; furthermore, 41% felt the Internet supplied them with questions and concerns to discuss with their physicians. The aim of our study is to evaluate the accuracy, quality, and readability of online available information using the search terms “ankle sprain” and “ankle instability.” Methods: Three search engines (Google, Bing, and Yahoo) were used to search for the terms “ankle sprain” and “ankle instability.” The first 25 websites from each search were collected. Each website was assessed for quality, accuracy, and readability by 3 orthopedic residents blinded to the search term used. Websites were also evaluated for commercial bias and whether written by physicians or not. Results: Twenty sites were identified using Google, 14 using Bing, and 3 using Yahoo while the remaining 19 appeared in multiple search engines. Sixty-nine percent of the websites (39/56) were written by physicians whereas only 21% (12/56) were associated with commercial bias. The mean quality and accuracy of the websites written above a seventh-grade level was statistically significantly higher than those at or below a seventh-grade level ( P = .01). The mean accuracy of websites written by physicians was not statistically different from those not written by physicians ( P = .055). Conclusion: The current study highlights the poor quality and accuracy of online information related to ankle sprains, especially those with commercial bias. Furthermore, although websites written by or under supervision of physicians were found to be of superior quality, a majority of sites were found to have an unacceptably high reading level. Level of Evidence: Level IV, case series.


2018 ◽  
Vol 3 (3) ◽  
pp. 2473011418S0013
Author(s):  
Mostafa Abousayed ◽  
Jason Tartaglione ◽  
Samuel Zonshayn ◽  
Christopher Johnson ◽  
Andrew Rosenbaum

Category: Ankle Introduction/Purpose: The Internet has drastically changed how patients access health-related information. There are several ways the public can access online health-related information such as search engines, blogs, support groups and webinars. A recent study found that 45% of orthopedic patients searched for information online regarding their injury. Also, 78% believed they had better understanding of their condition after visiting these websites; furthermore, 41% felt the Internet supplied them with questions and concerns to discuss with their physicians. While most patients experience favorable outcomes after proper management of an isolated ankle sprain, inadequate treatment can lead to chronic ankle instability. The aim of our study is to evaluate the accuracy, quality and readability of online available information using the search terms “ankle sprain” and “ankle instability”. Methods: Three websites [Google, Bing, and Yahoo] were searched for the terms “ankle sprain” and “ankle instability”. The first 25 websites from each search were collected. After removal of duplicates, 65 websites were left for evaluation. Nine websites were excluded: contained video links only (n=3), lacked information (n=3), presented unrelated information (n=2), or was not written in English (n=1). A total of 56 websites met the inclusion criteria. Each website was assessed for quality, accuracy, and readability by three orthopedic residents blinded to the search term utilized. The quality was evaluated using a previously developed grading rubric containing 25 points pertaining to relevant anatomy, diagnosis, treatment, and complications of ankle sprains. The accuracy of the websites was assessed using a scale from 1-4. The Flesch-Kincaid (F-K) scale was used to evaluate readability of the websites. Lastly, websites were evaluated for any commercial bias and whether written by physicians or not. Results: Table 1 displays the quality results of all websites. The mean quality of websites written >7th grade level was statistically significantly higher than those written at =7th grade (p=0.01). A summary of the accuracy results is depicted in Table 2. The mean accuracy of websites written >7th grade level was statistically higher than websites written at =7th grade level (p=0.01). Only six websites (10.7%) included in this study were written at a 7th grade level or below. Multivariable regression analysis revealed the accuracy of websites was significantly associated with the F-K score and absence of commercial bias. Furthermore, the quality of websites was positively correlated with the F-K score, use of the search term “ankle instability”, websites written by physicians, and absence of commercial bias. Conclusion: The current study highlights the poor quality and accuracy of online information related to ankle sprains, especially those with commercial bias. Furthermore, while websites written by or under supervision of physicians were found of superior quality, a majority of sites were found to have an unacceptably high reading level. As the importance of health literacy becomes more apparent, it is critical to remember the physician’s role in guiding patients to high quality and accurate resources written at an appropriate level.


2018 ◽  
Vol 91 (1) ◽  
pp. 56-59
Author(s):  
Kocsis Loránd ◽  
Szabó Mónika

Abstract The internet is the most popular information source in our digital world. Studies confirm that numerous people are using the internet to look up health-related information. There is no information about this trend among the Transylvanian Hungarian population. Our purpose was to assess the role of the internet in answering health-related problems for young Hungarian Transylvanian people, and its impact. The participants (N=351) completed an online questionnaire with 28 items, which was available on Facebook, on the first page indicating their consent to a voluntary and anonymous survey. Our target was the generation below the age of 45. Descriptive, then comparative analysis was performed, based on gender and region of origin. 95.3% of the participants used the internet for finding health-related information, diagnosis, treatment or diet, without significant difference between subgroups, 70% at least once a month. Only 3.3% were instructed by their physician about the websites that provide health information, while 90% would require it. At least 64% of the respondents makes self-diagnosis at least sometimes, women more often, and nearly 25% frequently or always check the doctor’s opinion and/or the recommended treatment online. 40% of cases consider that their self-diagnosis was often the same as the physician’s final diagnosis, but only 33,2% agreed totally with their doctor. 47,4% of them were scared and/or became worried because of the information from the internet, especially women. Based on the above, it is clear that online health information overtakes the traditional doctor-centered health information and makes it necessary for us to change our perspective of digital healthcare.


Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.


10.2196/16148 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e16148
Author(s):  
Antonia Barke ◽  
Bettina K Doering

Background People often search the internet to obtain health-related information not only for themselves but also for family members and, in particular, their children. However, for a minority of parents, such searches may become excessive and distressing. Little is known about excessive web-based searching by parents for information regarding their children’s health. Objective This study aimed to develop and validate an instrument designed to assess parents' web-based health information searching behavior, the Children’s Health Internet Research, Parental Inventory (CHIRPI). Methods A pilot survey was used to establish the instrument (21 items). CHIRPI was validated online in a second sample (372/384, 96.9% mothers; mean age 32.7 years, SD 5.8). Item analyses, an exploratory factor analysis (EFA), and correlations with parents’ perception of their children’s health-related vulnerability (Child Vulnerability Scale, CVS), parental health anxiety (modified short Health Anxiety Inventory, mSHAI), and parental cyberchondria (Cyberchondria Severity Scale, CSS-15) were calculated. A subset of participants (n=73) provided retest data after 4 weeks. CHIRPI scores (total scores and subscale scores) of parents with a chronically ill child and parents who perceived their child to be vulnerable (CVS+; CVS>10) were compared with 2×2 analyses of variances (ANOVAs) with the factors Child’s Health Status (chronically ill vs healthy) and perceived vulnerability (CVS+ vs CVS−). Results CHIRPI’s internal consistency was standardized alpha=.89. The EFA identified three subscales: Symptom Focus (standardized alpha=.87), Implementing Advice (standardized alpha=.74) and Distress (standardized alpha=.89). The retest reliability of CHIRPI was measured as rtt=0.78. CHIRPI correlated strongly with CSS-15 (r=0.66) and mSHAI (r=0.39). The ANOVAs comparing the CHIRPI total score and the subscale scores for parents having a chronically ill child and parents perceiving their child as vulnerable revealed the main effects for perceiving one’s child as vulnerable but not for having a chronically ill child. No interactions were found. This pattern was observed for the CHIRPI total score (η2=0.053) and each subscale (Symptom Focus η2=0.012; Distress η2=0.113; and Implementing Advice η2=0.018). Conclusions The psychometric properties of CHIRPI are excellent. Correlations with mSHAI and CSS-15 indicate its validity. CHIRPI appears to be differentially sensitive to excessive searches owing to parents perceiving their child’s health to be vulnerable rather than to higher informational needs of parents with chronically ill children. Therefore, it may help to identify parents who search excessively for web-based health information. CHIRPI (and, in particular, the Distress subscale) seems to capture a pattern of factors related to anxious health-related cognitions, emotions, and behaviors of parents, which is also applied to their children.


10.2196/19985 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e19985
Author(s):  
Christian Kubb ◽  
Heather M Foran

Background Parents commonly use the internet to search for information about their child’s health-related symptoms and guide parental health-related decisions. Despite the impact of parental online health seeking on offline health behaviors, this area of research remains understudied. Previous literature has not adequately distinguished searched behaviors when searching for oneself or one`s child. Objective The purpose of this review is to examine prevalences and associated variables of parent-child online health information seeking; investigate parents’ health-related online behavior regarding how they find, use, and evaluate information; and identify barriers and concerns that they experience during the search. Based on this analysis, we develop a conceptual model of potentially important variables of proxy online health information seeking, with a focus on building an agenda for further research. Methods We conducted a comprehensive systematic literature review of the PsycINFO, JMIR, and PubMed electronic databases. Studies between January 1994 and June 2018 were considered. The conceptual model was developed using an inductive mixed methods approach based on the investigated variables in the study sample. Results A total of 33 studies met the inclusion criteria. Findings suggest that parents worldwide are heavy online users of health-related information for their children across highly diverse circumstances. A total of 6 studies found high parental health anxiety, with prevalences ranging from 14% to 52%. Although parents reported wishing for more guidance from their pediatrician on how to find reliable information, they rarely discussed retrieved information from the web. The conceptual model of proxy online health information seeking includes 49 variables. Conclusions This systematic review identifies important gaps regarding the influence of health-related information on parents’ health behavior and outcomes. Follow-up studies are required to offer parents guidance on how to use the web for health purposes in an effective way, as well as solutions to the multifaceted problems during or after online health information seeking for their child. The conceptual model with the number of studies in each model category listed highlights how previous studies have hardly considered relational variables between the parent and child. An agenda for future research is presented.


2021 ◽  
Author(s):  
Yijing Chen ◽  
Hanming Lin ◽  
Jin Zhang ◽  
Yiming Zhao

BACKGROUND Online health information retrieval has been a top choice for acquiring health information and knowledge by millions worldwide. OBJECTIVE This study aims to investigate consumers’ modification of retrieval platform switch paths across health-related search tasks and learning via such a change. METHODS A lab user experiment was designed to obtain data on consumers’ health information search behavior. Participants accomplished health-related information search tasks. Screen movements were recorded by EV screen-recording software. The participants underwent in-depth interviews immediately after finishing the tasks. Screen recordings and interview data were both coded and analyzed. RESULTS Three types of learning, including the similar transfer learning, optimizing learning, and SERP-guided learning were identified based on five change patterns of retrieval platform switch paths adopted by health information consumers from task 1 to task 2. Health information consumers’ retrieval platform switch based on information usefulness evaluation. And they accessed different amounts and types of health knowledge from different retrieval platforms. CONCLUSIONS The results suggest that health information consumers exhibit learning both through retrieval platform switching and the knowledge they consume during the search process. This facilitates the assessment of a certain retrieval platform’s usefulness by measuring the amount and types of health knowledge in each search result. This study also contributes to the enhancement of consumers’ health information retrieval abilities, and to helping optimize health information retrieval platforms by increasing their exposure to consumers and increasing the matching degree between knowledge types and consumer needs.


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