Does Online Searching Cause or Enforce Health Information Disparity?

2013 ◽  
Vol 12 (04) ◽  
pp. 1350032 ◽  
Author(s):  
Yong-Mi Kim

A growing number of people are seeking health information on the Internet. To meet demands, healthcare providers are increasingly disseminating information online. While online health information has enhanced the dissemination of health information and improved people's health-related knowledge, critics posit that such dissemination has widened knowledge disparities in health information and health benefits as a result. Drawing on existing studies, this study identified the main causes of such disparity, namely education, health literacy, computer self-efficacy (CSE) and usage of health-related social media. The finding showed that education resided at the centre of the disparity and impacted other elements. An interesting finding is although individuals possess high levels of CSE, the efficacy does not highly impact their health benefits, meaning that computer does not directly cause health information disparity but is the tool to promote health-related knowledge disparity.

2020 ◽  
Author(s):  
Zhaomeng Niu ◽  
Bo Li ◽  
Jessica Willoughby ◽  
Ze Li ◽  
Rongting Zhou

BACKGROUND Empirical research has demonstrated that people frequently use social media for gathering and sharing online health information. Health literacy, social media use, and self-efficacy are important factors that may influence people’s health behaviors online. OBJECTIVE This study aims to examine the associations between health literacy, health-related social media use, self-efficacy and health behavioral intentions online. METHODS We conducted a cross-sectional survey of Chinese adults aged 18 and above (N = 449) to examine predictors of health-related behavioral intentions online including health literacy, social media use, and self-efficacy. Hayes’ PROCESS macro was used to analyze the mediation and moderation models. RESULTS Two moderated mediation models were constructed. Self-efficacy mediated the effects of health literacy (Bindirect=0.213, 95% CI: 0.101 to 0.339) and social media use (Bindirect=0.023, 95% CI: 0.008 to 0.045) on health behavioral intentions on social media. Age moderated the effects of health literacy on self-efficacy (P=.029), while previous experience moderated the effects of social media use on self-efficacy (P<.001). CONCLUSIONS Health literacy and health-related social media use influenced health behavioral intentions on social media via their prior effects on self-efficacy. The association between health literacy and self-efficacy was stronger among younger respondents, whereas the association between health-related social media use and self-efficacy was stronger among those who previously had positive experiences with health information on social media. Health practitioners should target self-efficacy among older population and increase positive media experience related to health. CLINICALTRIAL


10.2196/15099 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15099 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann

Background As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. Objective The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. Methods A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. Results The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (R2=.02, P=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. Conclusions Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.


2013 ◽  
Vol 411-414 ◽  
pp. 110-114 ◽  
Author(s):  
Dan Dumbrell ◽  
Robert Steele

Traditional forms of health information dissemination have previously involved a few key organizations originating health-related information and disseminating this to clinicians and the community. This information was typically disseminated via private, formalized and non-digital interactions between health information sources (HIS) and clinicians and consumers. With the introduction of the Internet, Web-based health information dissemination led to some changes with greater availability of online health information. However the recent adoption and uptake of social media has led to many more parties, both organizations of varying types, and individuals, participating in public health information dissemination; and this has also led to new forms of sharing health-related information, particularly involving a greater role for individuals. In this paper we introduce empirical findings in relation to how organizations and individuals are now using social media for sharing health information, and from this suggest themes to describe the changes from traditional to contemporary health information dissemination, as well as the new emerging roles and forms of interaction for health information dissemination.


2020 ◽  
Author(s):  
Peggy Liu ◽  
Ling-Ling Yeh ◽  
Jiun-Yi Wang ◽  
Shao-Ti Lee

BACKGROUND The increasing amount of health information available on the internet makes it more important than ever to ensure that people can judge the accuracy of this information to prevent them from harm. It may be possible for platforms to set up protective mechanisms depending on the level of digital health literacy and thereby to decrease the possibility of harm by the misuse of health information. OBJECTIVE This study aimed to create an instrument for digital health literacy assessment (DHLA) based on the eHealth Literacy Scale (eHEALS) to categorize participants by level of risk of misinterpreting health information into high-, medium-, and low-risk groups. METHODS This study developed a DHLA and constructed an online health information bank with correct and incorrect answers. Receiver operating characteristic curve analysis was used to detect the cutoff value of DHLA, using 5 items randomly selected from the online health information bank, to classify users as being at low, medium, or high risk of misjudging health information. This provided information about the relationship between risk group for digital health literacy and accurate judgement of online health information. The study participants were Taiwanese residents aged 20 years and older. Snowball sampling was used, and internet questionnaires were anonymously completed by the participants. The reliability and validity of DHLA were examined. Logistic regression was used to analyze factors associated with risk groups from the DHLA. RESULTS This study collected 1588 valid questionnaires. The online health information bank included 310 items of health information, which were classified as easy (147 items), moderate (122 items), or difficult (41 items) based on the difficulty of judging their accuracy. The internal consistency of DHLA was satisfactory (α=.87), and factor analysis of construct validity found three factors, accounting for 76.6% of the variance. The receiver operating characteristic curve analysis found 106 people at high risk, 1368 at medium risk, and 114 at low risk of misinterpreting health information. Of the original grouped cases, 89.6% were correctly classified after discriminate analysis. Logistic regression analysis showed that participants with a high risk of misjudging health information had a lower education level, lower income, and poorer health. They also rarely or never browsed the internet. These differences were statistically significant. CONCLUSIONS The DHLA score could distinguish those at low, medium, and high risk of misjudging health information on the internet. Health information platforms on the internet could consider incorporating DHLA to set up a mechanism to protect users from misusing health information and avoid harming their health.


2019 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann

BACKGROUND As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. OBJECTIVE The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. METHODS A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. RESULTS The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (<i>R</i><sup>2</sup>=.02, <i>P</i>=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. CONCLUSIONS Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.


2011 ◽  
Vol 20 (01) ◽  
pp. 142-145
Author(s):  
C. Boyer ◽  

SummaryTo explore how the Internet is being used as a source of information, but also as a source of consumption in certain health-related fields. Determine the negative and positive impacts of this trend, depending on the topic or quality standards of websites.Synopsis of the articles selected for the IMIA Yearbook 2011.Six papers from international peer reviewed journals have been selected for the section on health information systems.The articles selected discuss issues of major concern for online health information seekers, because of their positive or negative impact on health outputs.


2016 ◽  
Vol 11 (2) ◽  
pp. 183
Author(s):  
Lindsay Alcock

Objective – To review, based on research evidence, the correlation between low health literacy and four outcomes of interest: (1) the ability to evaluate online health information based on (2) perceived reliability and accuracy, (3) trust in the Internet as an information source, and (4) the application of established evaluation criteria. Design – Systematic review and narrative synthesis. Setting –MEDLINE, PsycInfo, Web of Science, CINAHL, and Communication and Mass-media Complete as well as articles discovered through the snowball method. Subjects – 38 studies identified through a systematic literature search. Methods – An exhaustive list of potential articles was gathered through searching five online databases and Google Scholar, and hand searching of references. Inclusion and exclusion criteria were applied in a two-phase screening process in which two researchers participated to address reliability. Data, including study characteristics and metadata, predictors, assessment methods, and outcomes, were extracted from relevant studies, and then synthesized narratively. Main Results – Following duplication removal 13,632 records were retrieved, 254 of which were identified for full-text assessment. Thirty-eight studies met the eligibility criteria. All studies were non-experimental and therefore graded as a low level of evidence; 35 were cross-sectional designs, 1 a focus group, and 2 were observational studies. Studies varied widely in population definition and sample size and were published between 2001 and 2013, primarily in North America. Overall, a positive association was identified between health literacy and outcomes related to the ability to evaluate or trust Internet health information, while findings were inconsistent related to perceived quality of information and the application of evaluative criteria. Four studies examined the impact of health literacy levels on one or more of the outcomes of interest. The most prevalent outcome measure studied was trust in online health information, and the least prevalent was the use of evaluative criteria. The ability to trust online health information was assessed primarily through self-reporting, half of which utilized the eHealth Literacy scale, the majority of which indicated a positive correlation between education level or low health literacy and the perceived or actual ability to evaluate online health information. No studies on perceived information quality were found to utilize health literacy as an indicator. A positive association between educational level and trust in health information on the Internet was reported in ten studies, while two articles noted a similar correlation based on proxies for health literacy, including English language proficiency and comprehension comfort. In terms of the use of evaluation criteria, only one study focused on health literacy, indicating that those with low health literacy evaluate online health information based on search result placement, celebrity endorsement, image quality, and site authorship, and that they trust university researchers more than government or religious authorities to provide health information. No association was shown between readability or physician-provided online information and evaluation criteria while one study demonstrated that study participants with higher education tended to check author credentials more often when evaluating a website. Conclusion – Effective and informed evaluation of online health information is impacted by low health literacy.


Author(s):  
Machi Suka ◽  
Katsumi Yoshida

This chapter introduces an interactive communication tool, the ‘HRA System’. The recent rapid penetration of the Internet has made it a leading mode for gathering and sharing health information. People who access information on the Internet differ considerably in their ‘health literacy’, or the ability to understand and act on health information. The HRA System was developed in an effort to promote health education among people with inadequate health literacy. The system was designed in accordance with the clients’ health literacy skills, as well as the clients’ computer skills. A number of healthcare providers have registered with our research group to provide health education using the HRA System to the general public. The authors provide some ideas regarding how to apply interactive communication technology to health education successfully.


2021 ◽  
Author(s):  
Michelle A. Babicz ◽  
Samina Rahman ◽  
Victoria Kordovski ◽  
Savanna Tierney ◽  
Steven Paul Woods

The internet has become a common means by which many older adults seek out health information. The prevalence of misinformation on the internet makes the search for accurate online health information a more complex and evaluative process. This study examined the role of age and neurocognition in credibility evaluations of credible and non-credible health websites. Forty-one older adults and fifty younger adults completed a structured credibility rating task in which they evaluated a series of webpages displaying health information about migraine treatments. Participants also completed measures of neurocognition, internet use, and health literacy. Results suggested that older adults rated non-credible health websites as more credible than younger adults, but the age groups did not differ in their ratings of credible sites. Within the full sample, neurocognition was positively associated with credibility ratings for non-credible health websites, whereas health literacy was related to the ratings of credible sites. Findings indicate that older adults may be more likely to trust non-credible health websites than younger adults, which may relate to differences in higher-order neurocognitive functions. Future work might examine whether cognitive-based supports for credibility training in older adults can be used to improve the accuracy with which they evaluate online health information.


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