Community desires for an online health information strategy

2010 ◽  
Vol 34 (4) ◽  
pp. 467 ◽  
Author(s):  
Jared M. Dart ◽  
Cindy Gallois
Keyword(s):  
Health Care ◽  
Socioeconomic Status ◽  
Health Literacy ◽  
Health Information ◽  
Clinical Pathways ◽  
The Internet ◽  
Online Health Information ◽  
Local Health ◽  
Information Strategy ◽  
Low Socioeconomic

Objective. To determine whether the community’s attitudes to components of a community eHealth strategy differ across three different socioeconomic groups. Design. A survey questionnaire was designed and implemented across three different communities. Participants and setting. Paper-based surveys were left in community organisations and local health practices in a low socioeconomic community on the outskirts of Ipswich, Queensland (n = 262), a mid-high socioeconomic community in the western suburbs of Brisbane (n = 256) and at a local university (n = 200). Main outcome measures. Ascribed importance and comfort with proposed components of a community eHealth strategy. Results. A community-oriented health website was perceived as useful in getting access to relevant health information. Those who were most comfortable with accessing online health information were those who were: experienced, had home internet access and were frequent internet users. The most important types of health information for the website were: information about the treatment of conditions, how to manage a chronic illness, how to stay healthy and patient clinical pathways. The low socioeconomic community had different information priorities – all categories were considered more important, particularly information about how the public system operates, local health support groups, and the roles of health professionals. Conclusions. Different communities have different information demands but there is a strong demand for information which empowers community members to take control of their own health and become active participants in their health care. Tools such as a community health portal and patient clinical pathways should become more available. What is known about the topic? There is existing literature discussing the impact of the internet and other eHealth strategies, in terms of the perceptions and preferences of different parts of the community. Many previous researchers have pointed to deficiencies in health literacy as a function of socioeconomic status and their negative consequences for health outcomes and participation in health care. The internet has been recommended as a useful way to increase health literacy, if users’ knowledge and skills and preferences are adequately assessed and catered for. What does this paper add? This paper adds detail to what is known about the preferences of various parts of the community in terms of eHealth and online health information. It adds Australian data to our understanding of the role of the internet, and of community-based approaches to eHealth. Our results underscore the importance of understanding differences as a function of socioeconomic status, as well as knowledge of basic internet skills, health literacy, and online experience in determining patients’ preferences for and use of these means of accessing health information. What are the implications for practitioners? In the context of the growing burden of chronic disease and the importance of lifestyle factors and risk factor modification, this research suggests that a concerted online health information approach is valuable and timely. In particular, the paper provides data as to different communities’ opinions of potential components of an online health information strategy.

scholarly journals Relationship Between Levels of Digital Health Literacy Based on the Taiwan Digital Health Literacy Assessment and Accurate Assessment of Online Health Information: Cross-Sectional Questionnaire Study (Preprint)

2020 ◽  
Author(s):  
Peggy Liu ◽  
Ling-Ling Yeh ◽  
Jiun-Yi Wang ◽  
Shao-Ti Lee
Keyword(s):  
Health Literacy ◽  
High Risk ◽  
Health Information ◽  
Digital Health ◽  
Characteristic Curve ◽  
Risk Groups ◽  
The Internet ◽  
Online Health Information ◽  
Literacy Assessment ◽  
Information Bank

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.

scholarly journals Low-Level Evidence Suggests that Perceived Ability to Evaluate and Trust Online Health Information is Associated with Low Health Literacy

2016 ◽  
Vol 11 (2) ◽  
pp. 183
Author(s):  
Lindsay Alcock
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Evaluation Criteria ◽  
Positive Association ◽  
The Internet ◽  
Online Health Information ◽  
Low Level ◽  
Evaluative Criteria ◽  
Low Health Literacy ◽  
The Impact

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.

Age and Neurocognition Are Associated With Credibility Evaluations of Health Websites

2021 ◽  
Author(s):  
Michelle A. Babicz ◽  
Samina Rahman ◽  
Victoria Kordovski ◽  
Savanna Tierney ◽  
Steven Paul Woods
Keyword(s):  
Older Adults ◽  
Health Literacy ◽  
Health Information ◽  
Age Groups ◽  
The Internet ◽  
Online Health Information ◽  
Younger Adults ◽  
Neurocognitive Functions ◽  
Credibility Rating ◽  
Future Work

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.

scholarly journals Community health information sources — a survey in three disparate communities

2008 ◽  
Vol 32 (1) ◽  
pp. 186 ◽  
Author(s):  
Jared Dart ◽  
Cindy Gallois ◽  
Peter Yellowlees
Keyword(s):  
Health Information ◽  
Information Sources ◽  
Striking Difference ◽  
The Internet ◽  
Local Health ◽  
Low Socioeconomic ◽  
Local Doctor ◽  
Key Informant ◽  
Sources Of Health Information ◽  
Health Information Sources

Objective: To determine the current utilisation, importance, trust and future preference for contemporary sources of health information in three different socioeconomic groups. Design: A pilot study including key informant interviews and direct observation was conducted in a low socioeconomic community. From this work a survey questionnaire was designed and implemented across three different communities. Participants and setting: Semi-structured key informant interviews and focus groups capturing 52 respondents. Paper-based surveys were left in community organisations and local health practices in a low socioeconomic (LSE) community on the outskirts of Ipswich, Queensland, a mid-high socioeconomic (MSE) community in the western suburbs of Brisbane, and at a local university. Main outcome measures: Rank of current and preferred future sources of health information, importance and trustworthiness of health information sources. Results: Across all three communities the local doctor was the most currently used, important, trusted and preferred future source of health information. The most striking difference between the three communities related to the current use and preferred future use of the internet. The internet was a more currently used source of health information and more important source in the university population than the LSE or MSE populations. It was also a less preferred source of future health information in the LSE population than the MSE or university populations. Importantly, currently used sources of health information did not reflect community members? preferred sources of health information. Conclusions: People in different socioeconomic communities obtain health information from various sources. This may reflect access issues, education and awareness of the internet as a source of health information, less health information seeking as well as a reluctance by the e-health community to address the specific needs of this group.

scholarly journals Influencing Factors of Online Health Information Seeking in Selected European Countries

2021 ◽  
Vol 2 (1) ◽  
pp. 29-55
Author(s):  
Elena Link ◽  
Eva Baumann ◽  
Annemiek Linn ◽  
Andreas Fahr ◽  
Peter Schulz ◽  
...  
Keyword(s):  
Health Care ◽  
Health Information ◽  
Information Seeking ◽  
European Countries ◽  
The Internet ◽  
Online Health Information ◽  
Personal Health ◽  
Health Information Seeking ◽  
Health Related ◽  
Online Health Information Seeking

Patients’ participation in healthcare requires comprehensive health knowledge and can benefit from online health information seeking behaviours (O-HISB). The internet is a particularly vital source for seeking health-related information in many regions of the world. Therefore, we take a European cross-country comparative perspective on O-HISB. We aim to compare the importance of personal, health(care)-related, and cognitive determinants of using the internet for health-related purposes in four European countries. We conducted online surveys among the German, Swiss, Dutch, and Austrian public and described patterns of health information seeking online. The internet seemed to be a widely used source of health information in the four selected European countries. The explanation patterns of personal, health(care)-related, and cognitive factors differ by country and between selecting the internet as a source of health information and the frequency of online use. Using online media appeared to be more common for women and for current health problems. Respondents’ willingness and competencies are essential for online health information seeking. To prevent the increase of social and health-related disparities, there is an urgent need to support underprivileged population groups and increase motivations and eHealth literacy to use the internet for health-related purposes.

scholarly journals Relationship Between Levels of Digital Health Literacy Based on the Taiwan Digital Health Literacy Assessment and Accurate Assessment of Online Health Information: Cross-Sectional Questionnaire Study

10.2196/19767 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e19767
Author(s):  
Peggy Liu ◽  
Ling-Ling Yeh ◽  
Jiun-Yi Wang ◽  
Shao-Ti Lee
Keyword(s):  
Health Literacy ◽  
High Risk ◽  
Health Information ◽  
Digital Health ◽  
Characteristic Curve ◽  
Risk Groups ◽  
The Internet ◽  
Online Health Information ◽  
Literacy Assessment ◽  
Information Bank

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.

scholarly journals Profiles of a Health Information–Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey (Preprint)

2018 ◽  
Author(s):  
Hena Naz Din ◽  
Corinne McDaniels-Davidson ◽  
Jesse Nodora ◽  
Hala Madanat
Keyword(s):  
Health Care ◽  
Socioeconomic Status ◽  
Digital Divide ◽  
Health Information ◽  
Internet Use ◽  
California Health Interview Survey ◽  
The Internet ◽  
Internet Users ◽  
Interview Survey ◽  
Use Of The Internet

BACKGROUND Internet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent “digital divide” exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies. OBJECTIVE This study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information. METHODS The 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs. RESULTS Among 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group. CONCLUSIONS Our findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.

Does Online Searching Cause or Enforce Health Information Disparity?

2013 ◽  
Vol 12 (04) ◽  
pp. 1350032 ◽  
Author(s):  
Yong-Mi Kim
Keyword(s):  
Social Media ◽  
Health Literacy ◽  
Health Information ◽  
Self Efficacy ◽  
Healthcare Providers ◽  
Health Benefits ◽  
The Internet ◽  
Online Health Information ◽  
Online Searching ◽  
Health Related

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.

scholarly journals Factors influencing online health information seeking behavior among patients in Kwahu West Municipal, Nkawkaw, Ghana

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Richmond Dery Nangsangna ◽  
Frances Da-Costa Vroom
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Information Seeking ◽  
The Internet ◽  
Online Health Information ◽  
Health Information Seeking ◽  
Care Providers ◽  
Factors Influencing ◽  
Online Health Information Seeking

Over the years, there has been a lot of transformation in the way health care is delivered and how individuals access health. Rapid growth in technology has been attributed to the advancement. The internet has played a key role in the delivery of health care and serves currently as a huge source of health information to individuals regardless of their location, language or time.This cross sectional study was conducted in the Kwahu West Municipal to determine factors influencing online health information seeking behaviors among patients. Three hospitals in the municipality were purposively selected for the study.  Outpatients attending these facilities were systematically selected. Data was collected using structured interviewer administered questionnaire.The study findings revealed that internet usage rate among patients was 85.8%. However, only 35.7% of patients ever used the internet to access health information. Sex, education and average monthly income were significant factors associated with online health information seeking. The study also showed that, computer and internet experience factors increased the probability of using internet for health information. After adjusting for confounding factors, being employed, earning higher income and owning computer were positive predictors of online health information seeking.It is important to explore other means of reducing the disparity in information access by improving skill and health literacy among the low social class who cannot afford internet ready devices. Health care providers should recognize that patients are using the internet for health information and should be prepared to assist and promote internet user skills among their patients.

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