SP0106 Ehealth Literacy on Rheumatic Diseases: Analysing the Power of the Internet: Health Talk Online - Patients' Experience of Gout

BACKGROUND To develop websites that enhance Internet users’ health knowledge, it is important to identify relevant factors associated with obtaining health knowledge via the Internet. Although an association between eHealth literacy (eHL) and knowledge of colorectal cancer (CRC) has been reported, little is known whether eHL is associated with obtaining knowledge of CRC via the Internet. OBJECTIVE This study aimed to compare the results obtained from Internet users with high or low eHL in searching and using a reputable cancer website to gain CRC knowledge. METHODS This study used respondents to Internet based pre-and post-surveys conducted in 2012. Potential respondents (n = 3,307) were identified from registered individuals aged 40–59 years (n = 461,160) in a Japanese Internet survey company. A total of 1,069 participants responded (response rate: 32.3%), and these pre-survey responders were then divided into high or low eHL groups using the Japanese eHealth Literacy Scale median score (23.5 points). From each group, 130 randomly selected individuals were invited to review the contents of a reputable CRC website, the Cancer Information Service managed by the National Cancer Center, and to respond to a post-survey via e-mail; responses were obtained from 107 individuals from each group. Twenty responses to knowledge statements regarding the definition, risk factors, screening prevention and symptoms of CRC were obtained at pre- and post-surveys, and differences in the correct responses between high and low eHL groups compared using the McNemar test. RESULTS The mean age of the participants was 49.1 (5.5) years. Four statements showed a significant increase in correct responses in both eHL groups pre- and post-survey: “S4. The risk of CRC is greater as a person gets older” (high eHL: P = 0.039, low eHL: P = 0.012), “S8. Cigarette smoking is a risk factor for CRC” (high eHL: P < 0.001, low eHL: P = 0.020), “S11. Obesity is a risk factor for CRC” (high eHL: P = 0.030, low eHL: P = 0.047), and “S12. Excess alcohol consumption is a risk factor for CRC” (high eHL: P = 0.002, low eHL: P = 0.003). Three statements showed a statistically significant increase in correct responses in the high eHL group only: “S1. CRC is cancer of the colon or rectum” (P = 0.003), “S5. The risk of CRC is the same between men and women” (P = 0.041), and “S9. Red meat intake is a risk factor for CRC” (P = 0.002), whereas only one response did in the low eHL group: “S17. Bloody stools are a symptom of CRC” (P = 0.004). CONCLUSIONS Low eHL Internet users appeared less capable of obtaining knowledge of CRC through searching and understanding information from a reputable cancer website than high eHL Internet users.

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Internet Connections for Arthritis and Other Rheumatic Diseases

Journal of Pharmacy Practice ◽

10.1177/089719009901200410 ◽

1999 ◽

Vol 12 (4) ◽

pp. 368-369

Author(s):

Bruce C. Carlstedt

Keyword(s):

Rheumatic Diseases ◽

Web Sites ◽

Professional Associations ◽

Educational Institutions ◽

The Internet ◽

Amount Of Information ◽

Professional Journals ◽

Internet Connections

Access to the Internet provides us with an incredible amount of information about the rheumatic diseases. There are numerous arthritis organizations, professional associations, educational institutions, research and professional journals and patients with Web sites devoted to the rheumatic diseases. Some are reviewed and listed here.

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Evaluating a theory-based intervention for improving eHealth literacy in older adults: A single group, pretest–posttest design (Preprint)

10.2196/preprints.31265 ◽

2021 ◽

Author(s):

Kyoung-Eun Lee ◽

Sun Ju Chang ◽

Eunjin Yang ◽

Hyunju Ryu

Keyword(s):

Older Adults ◽

Health Information ◽

Information Literacy ◽

Intervention Mapping ◽

Perceived Usefulness ◽

The Internet ◽

Single Group ◽

Behavioral Skills ◽

Ehealth Literacy ◽

Significant Difference

BACKGROUND The Internet use rate of older adults, who were considered underprivileged in the digital world, is steadily increasing. Specifically, the Internet is considered an important channel for providing health information to older adults, who are the largest consumers of medical services. However, due to factors such as technical difficulties, lack of learning opportunities, and deterioration of eHealth literacy, the Internet is not usually a common factor of delivering health information to older adults. Therefore, we developed an intervention program to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. OBJECTIVE This study aimed to analyze the effect of developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults. METHODS This study applied a single group pretest–posttest design. The participants were 46 older adults over the age of 65 recruited from two senior welfare centers in a city in South Korea. We divided the participants into 4 groups and conducted 4 interventions in the computer room of the Senior Welfare Center from March to December 2019. One intervention was performed once a week (2 hours/1 time) for 5 weeks, and the total lecture time was 10 hours. The instructors were all researchers involved in the development of this intervention, and the instructors for each intervention consisted of one lecture instructor and two assistant instructors who supported the participants in the computer practices. RESULTS Participants’computer/web knowledge (χ²= 60.04, P <.001), perceived ease of use (χ²= 17.86, P <.001), perceived enjoyment (χ²= 23.06, P <.001), and attitude toward eHealth information (χ²= 18.47, P <.001) showed statistically significant increases. The eHealth information literacy efficacy score (χ²= 72.76, P< .001), searching performance score (χ²= 162.57, P < .001), and understanding score (χ²= 60.96, P< .001) were also significantly different from those before and after the intervention. However, there was no significant difference in perceived usefulness (χ²= 5.91, P = .052). CONCLUSIONS Our findings suggest that the application of the current theory based methodology can improve the quality of research in developing eHealth information literacy interventions. Additionally, it is necessary to develop and continuously apply various interventions to improve eHealth information literacy among older adults. Finally, measures to improve the Internet environment for older adults should be considered.

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Higher eHealth Literacy is Associated With HIV Risk Behaviors among HIV-Infected Women Who Use the Internet

Journal of the Association of Nurses in AIDS Care ◽

10.1016/j.jana.2015.09.001 ◽

2016 ◽

Vol 27 (1) ◽

pp. 102-108 ◽

Cited By ~ 12

Author(s):

Oni J. Blackstock ◽

Chinazo O. Cunningham ◽

Lorlette J. Haughton ◽

Ruby Y. Garner ◽

Chris Norwood ◽

...

Keyword(s):

Risk Behaviors ◽

Hiv Risk ◽

Hiv Risk Behaviors ◽

The Internet ◽

Ehealth Literacy

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Web-based health Information Seeking and eHealth Literacy among College students. A Self-report study

Investigación y Educación en Enfermería ◽

10.17533/udea.iee.v38n1e08 ◽

2020 ◽

Vol 38 (1) ◽

Author(s):

Fatemeh KHademian ◽

Mahsa Roozrokh Arshadi Montazer ◽

Azam Aslani

Keyword(s):

College Students ◽

Health Information ◽

Information Seeking ◽

Health Resources ◽

Self Report ◽

The Internet ◽

Health Information Seeking ◽

Web Based ◽

Ehealth Literacy ◽

Quality Health

Objective. This study aimed to assess web-based health information seeking and eHealth literacy among Iranian college students. Methods. The study was conducted in five colleges of the Shiraz University of Medical Sciences in Iran during 2018. The data were collected by a researcher-made questionnaire consisting of seven questions on a 4-point Likert-type scale, with scores ranging from 7 to 28. These questions were: ′I know how to use the Internet to answer my questions about health′, ′I think there is enough information about health-related issues on the Internet′, ′I know the vocabulary used in health issues on the Internet′, ′I can tell high-quality health resources from low-quality health resources on the Internet′, ′I know how to use the health information I find on the Internet to help me′, ′I feel confident in using information from the Internet to make health decisions′, and ′Searching for health-related information on the Internet will increase my knowledge in this field′. High eHealth literacy level is defined as above the total mean score and low eHealth literacy level is defined as lower than the total mean score. Results. In all, 386 college students participated in the study. The results showed that the mean score of eHealth literacy was 19.11 out of 28; 205 participants (54.4%) had low eHealth literacy. In addition, the students used the Internet to search for information regarding diseases symptoms (70%), physical illnesses (67.1%), existing treatments (65%), and diagnosis (63.1%). Conclusion. The results showed that participants in this study usually searched for illnesses, symptoms, and treatments after they got sick and paid little attention to other aspects related to integral health.How to cite this article: KHademian F, Roozrokh M, Aslani A. Web-based health Information Seeking and eHealth Literacy among College students. A Self-report study. Invest. Educ. Enferm. 2020. 38(1):e08.

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Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study (Preprint)

10.2196/preprints.19661 ◽

2020 ◽

Cited By ~ 1

Author(s):

Johannes Knitza ◽

David Simon ◽

Antonia Lambrecht ◽

Christina Raab ◽

Koray Tascilar ◽

...

Keyword(s):

Chronic Diseases ◽

Rheumatic Diseases ◽

Mobile Health ◽

Mobile Apps ◽

Data Entry ◽

Mobile App ◽

Survey Study ◽

Full Potential ◽

Ehealth Literacy ◽

Medical Apps

BACKGROUND Mobile health (mHealth) defines the support and practice of health care using mobile devices and promises to improve the current treatment situation of patients with chronic diseases. Little is known about mHealth usage and digital preferences of patients with chronic rheumatic diseases. OBJECTIVE The aim of the study was to explore mHealth usage, preferences, barriers, and eHealth literacy reported by German patients with rheumatic diseases. METHODS Between December 2018 and January 2019, patients (recruited consecutively) with rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis were asked to complete a paper-based survey. The survey included questions on sociodemographics, health characteristics, mHealth usage, eHealth literacy using eHealth Literacy Scale (eHEALS), and communication and information preferences. RESULTS Of the patients (N=193) who completed the survey, 176 patients (91.2%) regularly used a smartphone, and 89 patients (46.1%) regularly used social media. Patients (132/193, 68.4%) believed that using medical apps could be beneficial for their own health. Out of 193 patients, only 8 (4.1%) were currently using medical apps, and only 22 patients (11.4%) stated that they knew useful rheumatology websites/mobile apps. Nearly all patients (188/193, 97.4%) would agree to share their mobile app data for research purposes. Out of 193 patients, 129 (66.8%) would regularly enter data using an app, and 146 patients (75.6%) would welcome official mobile app recommendations from the national rheumatology society. The preferred duration for data entry was not more than 15 minutes (110/193, 57.0%), and the preferred frequency was weekly (59/193, 30.6%). Medication information was the most desired app feature (150/193, 77.7%). Internet was the most frequently utilized source of information (144/193, 74.6%). The mean eHealth literacy was low (26.3/40) and was positively correlated with younger age, app use, belief in benefit of using medical apps, and current internet use to obtain health information. CONCLUSIONS Patients with rheumatic diseases are very eager to use mHealth technologies to better understand their chronic diseases. This open-mindedness is counterbalanced by low mHealth usage and competency. Personalized mHealth solutions and clear implementation recommendations are needed to realize the full potential of mHealth in rheumatology.

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Measuring Actual eHealth Literacy Among Patients With Rheumatic Diseases: a Qualitative Analysis of Problems Encountered Using Health 1.0 and Health 2.0 Applications

Journal of Medical Internet Research ◽

10.2196/jmir.2428 ◽

2013 ◽

Vol 15 (2) ◽

pp. e27 ◽

Cited By ~ 55

Author(s):

Rosalie van der Vaart ◽

Constance HC Drossaert ◽

Miriam de Heus ◽

Erik Taal ◽

Mart AFJ van de Laar

Keyword(s):

Qualitative Analysis ◽

Rheumatic Diseases ◽

Ehealth Literacy ◽

Health 2.0

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Chronic Patients’ eHealth Literacy Skills and Related Factors: The Example of Turkey (Preprint)

10.2196/preprints.29093 ◽

2021 ◽

Author(s):

Alp Eren Yuce ◽

Ahmet Albayrak

Keyword(s):

Social Media ◽

Health Information ◽

Information Sources ◽

Literacy Skills ◽

The Internet ◽

Chronic Patients ◽

Ehealth Literacy ◽

Social Media Platforms ◽

Literacy Scores ◽

Health Information Sources

BACKGROUND Previous studies on the eHealth suggested that chronic patients use the internet to obtain health information and to manage their health conditions. It has been revealed, particularly during the pandemic, that the internet has a significant potential to become a crucial health information source for chronic patients. However, there are both fluctuant and constant factors that influence the various eHealth literacy skills of chronic patients. It is critical to discover the current parameters influencing eHealth literacy skills in countries such as Turkey, which is in the process of adapting technology use, while eHealth literacy is gaining attention globally. OBJECTIVE This study aims to reveal the eHealth literacy skills of chronic patients and to investigate the relations and patterns between eHealth literacy skills and various factors such as demographics, search strategies and health information sources, and to explain their effects on eHealth literacy in Turkey in Izmir. METHODS The study, based on a quantitative research, including the administration of a questionnaire. A total of 604 chronic patients who applied to the five popular identified hospitals in Izmir, Turkey, responded to the questionnaire. The questionnaire, which includes information on demographics, social media platforms, internet usage frequency, eHealth literacy scale, search strategies scale, and health information sources scale, was conducted with the participants. CHAID analysis method was implemented to analyze the results and determine the relations between dependent and independent variables. RESULTS The type of the social media platform used by participants was an influencing factor on eHealth literacy scores. Finding health information across multiple platforms, such as Facebook, Twitter, and Pinterest, was found to be a positive predictor of eHealth literacy. (25.3%, 153 patients). Additionally, a positive correlation has been found between the use of the internet as a source of health information and eHealth literacy scores while using the strategy of “following the links that appear on websites” is positively correlated with eHealth literacy scores. CONCLUSIONS The study's findings indicate that using the internet and various social media platforms to obtain health information has a positive effect on eHealth literacy skills. Patients with greater interaction with the internet and its substructures, as well as a greater interest in utilizing the technological features of digital environments, were found to be more qualified eHealth literates. However, given the pollution of health information on the Internet, the information channel through which health information is obtained is also a critical issue in terms of health literacy. Online health knowledge should be scientifically promoted by medical institutions or governmental organizations in order to be widely and effectively disseminated, particularly in countries such as Turkey.

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The Acceptance of Key Public Health Interventions by the Polish Population Is Related to Health Literacy, But Not eHealth Literacy

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17155459 ◽

2020 ◽

Vol 17 (15) ◽

pp. 5459

Author(s):

Mariusz Duplaga

Keyword(s):

Public Health ◽

Health Literacy ◽

Health Care Services ◽

Health Interventions ◽

The Internet ◽

Computer Assisted ◽

Public Health Interventions ◽

Logistic Regression Models ◽

Ehealth Literacy ◽

Polish Society

Background: Public health and health promotion rely on many different interventions, which range from health education and communication, through community mobilisation and changes to environmental conditions, to legal and fiscal actions. The introduction of the increased tax on sugar-sweetened beverages (SSB), popularly called sugar tax (ST), and a mandatory programme of vaccinations are the strategies inciting the most vivid discussions in Polish society. The study was intended to assess the determinants of the attitudes of Polish society regarding the ST and to vaccinations. Methods: For the analysis, the data originating from the survey of a representative adult sample of Polish society (n = 1000) was used. The survey was based on computer-assisted telephone interviewing (CATI). The assessment of the relationships between the selected variables and the opinions about the introduction of the ST and the safety and effectiveness of vaccinations were carried out using the chi2 test and univariate logistic regression models. Results: The acceptance of the ST and vaccination showed a significant relationship to the level of health literacy (HL) but not to eHealth literacy (eHL). Respondents having a higher rather than lower HL; older rather than younger; married rather than singles; retired, or on a disability pension, rather than vocationally active and nonusers of the Internet rather than users were more likely to show an acceptance for both interventions. Those more frequently using health care services and those with chronic diseases showed a greater belief in the safety and effectiveness of vaccinations. Conclusions: The relationship between the opinions of the two public health interventions analysed and the sociodemographic variables demonstrated similar patterns. Interestingly, the opinions were associated only with HL and not with eHL and users of the Internet were more sceptical about the interventions.

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