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1

Hyde, Lisa Lynne, Allison W. Boyes, Lisa J. Mackenzie, et al. "Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis." Journal of Medical Internet Research 21, no. 8 (2019): e13423. http://dx.doi.org/10.2196/13423.

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Background Variations in an individual’s electronic health (eHealth) literacy may influence the degree to which health consumers can benefit from eHealth. The eHealth Literacy Scale (eHEALS) is a common measure of eHealth literacy. However, the lack of guidelines for the standardized interpretation of eHEALS scores limits its research and clinical utility. Cut points are often arbitrarily applied at the eHEALS item or global level, which assumes a dichotomy of high and low eHealth literacy. This approach disregards scale constructs and results in inaccurate and inconsistent conclusions. Cluste
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Milanti, Ariesta, Cameron Norman, Dorothy Ngo Sheung Chan, Winnie Kwok Wei So, and Harvey Skinner. "eHealth Literacy 3.0: Updating the Norman and Skinner 2006 Model." Journal of Medical Internet Research 27 (March 11, 2025): e70112. https://doi.org/10.2196/70112.

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This paper advances the “eHealth Literacy 3.0” model following Norman and Skinner’s 2006 original eHealth literacy 1.0 model and Norman’s 2011 2.0 update, and introduces a corresponding revision to the eHealth Literacy Scale (eHEALS) measurement instrument (eHEALS-R).
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Tsukahara, Saki, Satoshi Yamaguchi, Futaba Igarashi, et al. "Association of eHealth Literacy With Lifestyle Behaviors in University Students: Questionnaire-Based Cross-Sectional Study." Journal of Medical Internet Research 22, no. 6 (2020): e18155. http://dx.doi.org/10.2196/18155.

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Background Maintenance of good health and a healthy lifestyle have significant impacts on the lives of university students. However, university students are prone to engage in risky health behaviors, resulting in impaired health status. Electronic health (eHealth) literacy is an important factor in maintaining a healthy lifestyle. However, no studies have assessed the eHealth literacy levels and the associated lifestyle behaviors among university students in Japan. Objective The purposes of this study were to clarify the eHealth literacy level, the participant characteristics associated with e
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Eto, Mamiko, and Koji Yamatsu. "Associations of eHealth Literacy with Social Activity among Community-Dwelling Older Adults: A Cross-Sectional Study." European Journal of Investigation in Health, Psychology and Education 14, no. 5 (2024): 1279–94. http://dx.doi.org/10.3390/ejihpe14050084.

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Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and spo
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Takeda, Takashi, Kana Yoshimi, Sayaka Kai, and Fumi Inoue. "eHealth Literacy and Adolescent Health in Japanese Female High School Students in Sendai: Cross-Sectional Study." JMIR Pediatrics and Parenting 8 (June 30, 2025): e73237. https://doi.org/10.2196/73237.

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Background In the digital age, adolescents increasingly rely on online sources for health-related information. eHealth literacy—defined as the ability to find, evaluate, and apply online health information—plays a crucial role in health outcomes. However, limited research exists on eHealth literacy among Japanese high school students, particularly on its association with menstrual health and psychological well-being. Objective This study aimed to assess the eHealth literacy of Japanese female high school students and examine its association with premenstrual symptoms, psychological distress, l
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An, Lawrence, Elizabeth Bacon, Sarah Hawley, et al. "Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study." Journal of Medical Internet Research 23, no. 3 (2021): e25042. http://dx.doi.org/10.2196/25042.

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Background During a global pandemic, it is critical that the public is able to rapidly acquire new and accurate health information. The internet is a major source of health information. eHealth literacy is the ability of individuals to find, assess, and use health information available on the internet. Objective The goals of this study were to assess coronavirus-related eHealth literacy and examine the relationship between eHealth literacy and COVID-19−related knowledge, attitudes, and practices (KAPs). Methods We conducted a web-based survey of a representative sample of 1074 US adults. We ad
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Makowsky, Mark J., Shahnaz Davachi, and Charlotte A. Jones. "eHealth Literacy in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Subanalysis of a 2014 Community-Based Survey." JMIR Formative Research 6, no. 3 (2022): e29955. http://dx.doi.org/10.2196/29955.

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Background Digital health interventions are efficient and flexible methods for enhancing the prevention and management of cardiovascular disease and type 2 diabetes. However, little is known about the characteristics associated with eHealth literacy in the Canadian South Asian population. Objective The aim of this study is to describe perceived eHealth literacy and explore the extent to which it is associated with sociodemographic, health status, and technology use variables in a subset of South Asian Canadians. Methods We analyzed data from the e-Patient Project survey, a mixed-mode cross-sec
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Gazibara, Tatjana, Jelena Cakić, Milica Cakić, Redžeb Zejnelagić, Aleksandra Popović, and Anita Grgurević. "Exploring e-health literacy among students of sports vs. medical students." Medicinska istrazivanja 55, no. 3 (2022): 21–28. http://dx.doi.org/10.5937/medi55-39595.

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Introduction/Aim: Data about electronic health (eHealth) literacy and potential differences in eHealth literacy between university students are lacking. The aim of this study was to evaluate eHealth literacy in students of sports and medicine and to assess the factors associated with better eHealth literacy. Material and Methods: This cross-sectional study was carried out from April to October 2017 among final year students of the Faculty of Sports and Physical Education and the Faculty of Medicine, University of Belgrade, Serbia. A total of 89 sports students and 301 medical students were inc
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Bardus, Marco, Arda Keriabian, Martine Elbejjani, and Samar Al-Hajj. "Assessing eHealth literacy among internet users in Lebanon: A cross-sectional study." DIGITAL HEALTH 8 (January 2022): 205520762211193. http://dx.doi.org/10.1177/20552076221119336.

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Objective Assessing the level of eHealth literacy in a population is essential to designing appropriate public health interventions. This study aimed to assess eHealth literacy among adult internet users in Lebanon, recruited through social media and printed materials. The study examined the relationship between internet use, perceived eHealth literacy, and sociodemographic characteristics. Methods A cross-sectional study based on a web-based questionnaire was conducted between January and May 2020. The survey assessed internet use and eHealth literacy using the homonymous scale (eHEALS) in En
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Wong, Swee Shiuan, Hooi Min Lim, Adrian Jian Zhi Chin, et al. "eHealth literacy of patients attending a primary care clinic in Malaysia and its associated factors: A cross-sectional study." DIGITAL HEALTH 8 (January 2022): 205520762211353. http://dx.doi.org/10.1177/20552076221135392.

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Background People are overloaded with online health information (OHI) of variable quality. eHealth literacy is important for people to acquire and appraise reliable information to make health-related decisions. While eHealth literacy is widely studied in developed countries, few studies have been conducted among patients in low- and middle-income countries (LMICs). Objective We aimed to determine the level of eHealth literacy in patients attending a primary care clinic in Malaysia and its associated factors. Methods A cross-sectional study using a self-administered questionnaire was conducted
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11

Berkowsky, Ronald W. "Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey." Gerontology and Geriatric Medicine 7 (January 2021): 233372142110642. http://dx.doi.org/10.1177/23337214211064227.

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With the Internet continuously being used as a means of providing health education and promotion to the public, consumers are increasingly going online to gather pertinent health information. However, disparities exist with regards to consumers’ ability in finding, evaluating, and applying online health information (collectively referred to as eHealth literacy). Identifying these disparities may elucidate which segments of the population would benefit from targeted eHealth literacy interventions and ways to adapt online health promotion materials. This study uses data from the 2020 CALSPEAKS s
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Wijaya, Maria Cellina, and Yudhistira Pradnyan Kloping. "Validity and reliability testing of the Indonesian version of the eHealth Literacy Scale during the COVID-19 pandemic." Health Informatics Journal 27, no. 1 (2021): 146045822097546. http://dx.doi.org/10.1177/1460458220975466.

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Nowadays, it is common for people to look for health care information on the internet. The eHealth Literacy Scale (eHEALS) is commonly used to measure eHealth literacy. As of the publication of this study, the Indonesian version for eHEALS has not been published even though eHealth literacy is necessary, especially in the current COVID-19 pandemic. We aimed to evaluate the validity and reliability of the Indonesian version of eHEALS (I-eHEALS). A total of 100 respondents in East Java were involved in this cross-sectional study. Pearson-product moment correlation method and construct validity w
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Norman, Cameron D., and Harvey A. Skinner. "eHEALS: The eHealth Literacy Scale." Journal of Medical Internet Research 8, no. 4 (2006): e27. http://dx.doi.org/10.2196/jmir.8.4.e27.

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Gazibara, Tatjana, Jelena Cakic, Milica Cakic, Tatjana Pekmezovic, and Anita Grgurevic. "eHealth and adolescents in Serbia: psychometric properties of eHeals questionnaire and contributing factors to better online health literacy." Health Promotion International 34, no. 4 (2018): 770–78. http://dx.doi.org/10.1093/heapro/day028.

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Abstract Internet is important resource of health-related information and health services. Factors associated with higher level of online health (eHealth) literacy among adolescence have been understudied. The aim of this study was to assess psychometric properties of the eHealth Literacy Scale (eHEALS) in Serbian language and to evaluate eHealth literacy among adolescents in Serbia. The study was carried out in four high schools in Belgrade, Serbia in the period December 2016 to January 2017. A total of 702 students comprised the study sample. The eHEALS was translated according to internatio
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Zrubka, Zsombor, Óscar Brito Fernandes, Petra Baji, et al. "Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study." Journal of Medical Internet Research 22, no. 8 (2020): e19013. http://dx.doi.org/10.2196/19013.

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Background Digital health, which encompasses the use of information and communications technology in support of health, is a key driving force behind the cultural transformation of medicine toward people-centeredness. Thus, eHealth literacy, assisted by innovative digital health solutions, may support better experiences of care. Objective The purpose of this study is to explore the relationship between eHealth literacy and patient-reported experience measures (PREMs) among users of outpatient care in Hungary. Methods In early 2019, we conducted a cross-sectional survey on a large representativ
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Chang, Angela, and Peter Schulz. "The Measurements and an Elaborated Understanding of Chinese eHealth Literacy (C-eHEALS) in Chronic Patients in China." International Journal of Environmental Research and Public Health 15, no. 7 (2018): 1553. http://dx.doi.org/10.3390/ijerph15071553.

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The rapid rise of Internet-based technologies to disseminate health information and services has been shown to enhance online health information acquisition. A Chinese version of the electronic health literacy scale (C-eHEALS) was developed to measure patients’ combined knowledge and perceived skills at finding and applying electronic health information to health problems. A valid sample of 352 interviewees responded to the online questionnaire, and their responses were analyzed. The C-eHEALS, by showing high internal consistency and predictive validity, is an effective screening tool for dete
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Holch, Patricia, and Jordan R. Marwood. "EHealth Literacy in UK Teenagers and Young Adults: Exploration of Predictors and Factor Structure of the eHealth Literacy Scale (eHEALS)." JMIR Formative Research 4, no. 9 (2020): e14450. http://dx.doi.org/10.2196/14450.

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Background Increasingly, teenagers and young adults (TYAs) seek out health information online; however, it is not clear whether they possess electronic health (eHealth) literacy, defined as “the ability to select, appraise, and utilize good quality health information from the internet.” A number of factors are included in the Lily model proposed by Norman and Skinner underpinning the development of eHealth literacy. It is important to understand which elements may influence the development of eHealth literacy in young people, as the current generation will continue to “Google it” when faced wi
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Tariq, Amina, Shanchita R. Khan, and Amna Basharat. "Internet Use, eHealth Literacy, and Dietary Supplement Use Among Young Adults in Pakistan: Cross-Sectional Study." Journal of Medical Internet Research 22, no. 6 (2020): e17014. http://dx.doi.org/10.2196/17014.

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Background Increased access to the internet has facilitated widespread availability of health information. Thus, electronic health (eHealth) literacy—the ability to seek, find, understand, and appraise health information from electronic resources and apply that knowledge in making a health-related decision—is a crucial skill. Despite the increasing use of the internet as a source of health information in developing countries, only a few studies have examined the eHealth literacy of young adults, who frequently use the internet to access health information in these developing countries. Objecti
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Wannheden, Carolina, Ulrica von Thiele Schwarz, Claes-Göran Östenson, Karin Pukk Härenstam, and Terese Stenfors. "What’s the Name of the Game? The Impact of eHealth on Productive Interactions in Chronic Care Management." Sustainability 13, no. 9 (2021): 5221. http://dx.doi.org/10.3390/su13095221.

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Chronic care management is dependent on productive interactions between patients and healthcare professionals. Digital health technologies (eHealth) open up new possibilities for improving the quality of care, but there is a limited understanding of what productive interactions entail. This study explores characteristics of productive interactions to support self-care and healthcare in the context of eHealth use in diabetes care. We collected qualitative data based on interviews with nurses and responses to open-ended survey questions from patients, prior to and post using an eHealth service f
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Stephen, Divya Anna, Anna Nordin, Unn-Britt Johansson, and Jan Nilsson. "eHealth Literacy and Its Association With Demographic Factors, Disease-Specific Factors, and Well-Being Among Adults With Type 1 Diabetes: Cross-Sectional Survey Study." JMIR Diabetes 10 (March 31, 2025): e66117-e66117. https://doi.org/10.2196/66117.

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Abstract Background The use of digital health technology in diabetes self-care is increasing, making eHealth literacy an important factor to consider among people with type 1 diabetes. There are very few studies investigating eHealth literacy among adults with type 1 diabetes, highlighting the need to explore this area further. Objective The aim of this study was to explore associations between eHealth literacy and demographic factors, disease-specific factors, and well-being among adults with type 1 diabetes. Methods The study used data from a larger cross-sectional survey conducted among adu
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Wångdahl, Josefin, Maria Jaensson, Karuna Dahlberg, and Ulrica Nilsson. "The Swedish Version of the Electronic Health Literacy Scale: Prospective Psychometric Evaluation Study Including Thresholds Levels." JMIR mHealth and uHealth 8, no. 2 (2020): e16316. http://dx.doi.org/10.2196/16316.

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Background To enhance the efficacy of information and communication, health care has increasingly turned to digitalization. Electronic health (eHealth) is an important factor that influences the use and receipt of benefits from Web-based health resources. Consequently, the concept of eHealth literacy has emerged, and in 2006 Norman and Skinner developed an 8-item self-report instrument to measure these skills: the eHealth Literacy Scale (eHEALS). However, the eHEALS has not been tested for reliability and validity in the general Swedish population and no threshold values have been established.
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Lee, Jiyeon, Eun-Hyun Lee, and Duckhee Chae. "eHealth Literacy Instruments: Systematic Review of Measurement Properties." Journal of Medical Internet Research 23, no. 11 (2021): e30644. http://dx.doi.org/10.2196/30644.

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Background The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. Objective This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. Methods We conducted a systematic review and m
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Lee, Jiyeon, Eun-Hyun Lee, and Duckhee Chae. "eHealth Literacy Instruments: Systematic Review of Measurement Properties." Journal of Medical Internet Research 23, no. 11 (2021): e30644. http://dx.doi.org/10.2196/30644.

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Background The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. Objective This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. Methods We conducted a systematic review and m
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Guo, Ziqiu, Sheng Zhi Zhao, Ningyuan Guo, et al. "Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors During the COVID-19 Pandemic in Hong Kong: Cross-sectional Study." Journal of Medical Internet Research 23, no. 4 (2021): e24577. http://dx.doi.org/10.2196/24577.

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Background eHealth literacy can potentially facilitate web-based information seeking and taking informed measures. Objective This study aimed to evaluate socioeconomic disparities in eHealth literacy and seeking of web-based information on COVID-19, and their associations with COVID-19 preventive behaviors. Methods The COVID-19 Health Information Survey (CoVHIns), using telephonic (n=500) and web-based surveys (n=1001), was conducted among adults in Hong Kong in April 2020. The Chinese eHealth literacy scale (eHEALS; score range 8-40) was used to measure eHealth literacy. COVID-19 preventive b
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Efthymiou, Areti, Nicos Middleton, Andreas Charalambous, and Evridiki Papastavrou. "Adapting the eHealth Literacy Scale for Carers of People With Chronic Diseases (eHeals-Carer) in a Sample of Greek and Cypriot Carers of People With Dementia: Reliability and Validation Study." Journal of Medical Internet Research 21, no. 11 (2019): e12504. http://dx.doi.org/10.2196/12504.

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Background As the population ages, many more people will be in need of long-term care. According to a recent report by Alzheimer's Disease International and the Karolinska Institute, 84% of people with dementia are cared for at home and 16% in nursing homes. Several Web-based interventions have been developed to assist the work of carers at home. Measuring the levels of electronic health (eHealth) literacy is of top priority to facilitate inclusion of this population and develop training programs to enhance eHealth literacy skills. Objective This study aimed to adapt the eHealth Literacy Scale
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Broomhead, Sean C., Maurice Mars, Richard E. Scott, and Tom Jones. "EHealth Investment Appraisal in Africa: A Scoping Review." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 58 (January 2021): 004695802110599. http://dx.doi.org/10.1177/00469580211059999.

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eHealth is an opportunity cost, competing for limited available funds with other health priorities such as clinics, vaccinations, medicines and even salaries. As such, it should be appraised for probable impact prior to allocation of funds. This is especially pertinent as recognition grows for the role of eHealth in attaining Universal Health Coverage. Despite optimism about eHealth’s potential role, in Africa there remain insufficient data and skills for adequate economic appraisals to select optimal investments from numerous competing initiatives. The aim of this review is to identify eHealt
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Park, Hyejin, Geraldine Martorella, and Glenna Schluck. "Electronic health literacy among adults with chronic pain: A descriptive, cross-sectional survey." International Health Trends and Perspectives 1, no. 3 (2021): 390–403. http://dx.doi.org/10.32920/ihtp.v1i3.1469.

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Background: Approximately 100 million American adults are living with chronic pain, which costs the healthcare system an average of $560–635 billion each year. Levels of health literacy and ehealth literacy are important factors in determining a patient’s capacity to manage pain and the multidimensional impact of pain. To our knowledge, few studies have specifically examined the level of ehealth literacy and its association with health literacy among chronic pain patients. The purpose of this study was to 1) assess the levels of health literacy and ehealth literacy in adults with chronic pain,
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Mitsuhashi, Toshiharu. "Effects of two-week e-learning on eHealth literacy: a randomized controlled trial of Japanese Internet users." PeerJ 6 (July 13, 2018): e5251. http://dx.doi.org/10.7717/peerj.5251.

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Background The Internet is widely used as a source of information by people searching for medical or healthcare information. However, information found on the Internet has several drawbacks, and the ability to consume accurate health information on the Internet (eHealth literacy) is increasingly important. This study’s goal was to clarify the extent to which eHealth literacy is improved after e-learning in a randomized controlled trial. Methods Data were collected on 301 Japanese adults through an online survey. Participants were assigned to the intervention (e-learning about eHealth literacy)
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Valdovinos, Cristina, Giselle Perez-Aguilar, Roberto Gonzalez Huerta, et al. "Electronic Health Literacy among Linguistically Diverse Patients in the Los Angeles County Safety Net Health System." Ethnicity & Disease 32, no. 1 (2022): 21–30. http://dx.doi.org/10.18865/ed.32.1.21.

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Background: Electronic health (eHealth) literacy may affect telehealth uptake, yet few studies have evaluated eHealth literacy in underserved populations.Objective: The objective of this study was to describe technology access and use patterns as well as eHealth literacy levels among English-speaking and LEP patients in a Los Angeles safety net health system.Methods: Patients, aged ≥18 years with a diagnosis of diabetes mellitus and/or hyper­tension, and their caregivers were recruited from three primary care safety-net clinics in Los Angeles County (California) between June – July 2017. Parti
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Vis, Christiaan, Leah Bührmann, Heleen Riper, and Hans C. Ossebaard. "Health technology assessment frameworks for eHealth: A systematic review." International Journal of Technology Assessment in Health Care 36, no. 3 (2020): 204–16. http://dx.doi.org/10.1017/s026646232000015x.

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ObjectivesTraditionally, health technology assessment (HTA) focuses on assessing the impact of pharmaceutical technologies on health and care. Resources are scarce and policy makers aim to achieve effective, accessible health care. eHealth innovations are increasingly more integrated in all healthcare domains. However, how eHealth is assessed prior to its implementation in care practices is unclear. To support evidence-informed policy making, this study aimed to identify frameworks and methods for assessing eHealth's impact on health care.MethodsThe scientific literature in five bibliographica
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Aggarwal, Apoorva, Sanjana Bhasin, Prerak Maheshwari, et al. "IJCM_133A: E- Health Literacy and Satisfaction regarding Medical Care among Patients attending a Tertiary Care Hospital in Mangalore." Indian Journal of Community Medicine 49, Suppl 1 (2024): S39. http://dx.doi.org/10.4103/ijcm.ijcm_abstract133.

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Background: Health literacy is crucial for understanding health information and making informed decisions. It encompasses the ability to obtain, process, and understand basic health information. Factors like education, income, and age influence health literacy, impacting health outcomes negatively when low. E Health literacy extends to navigating electronic health resources. Patient-doctor communication suffers when doctors overestimate patient literacy. Poor health literacy leads to misunderstandings, medication errors, and poorer health outcomes. In today’s healthcare landscape, patient sati
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Lee, Jung Jae, Chung Yan Poon, Siobhan O'Connor, et al. "Associations of eHealth literacy and knowledge with preventive behaviours and psychological distress during the COVID-19 pandemic: a population-based online survey." BMJ Open 13, no. 12 (2023): e069514. http://dx.doi.org/10.1136/bmjopen-2022-069514.

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ObjectivesTo compare the associations of COVID-19 preventive behaviours and depressive and anxiety symptoms with eHealth literacy and COVID-19 knowledge among Korean adults.DesignA cross-sectional online survey was conducted in April 2020.SettingSeoul metropolitan area in South Korea.Participants1057 Korean adults were recruited.Main outcome measuresAssociations between eHealth literacy, COVID-19 knowledge, COVID-19 preventive behaviours and psychological distress were computed using Pearson’s correlation and logistic regression analyses. eHealth literacy, COVID-19 knowledge, COVID-19 preventi
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Yadav, Amit, Ravindra Gurav, and Dinesh Samel. "Unravelling the influence of sociodemographic factors on eHealth literacy and online health seeking behaviour: a rural-urban comparative study." International Journal Of Community Medicine And Public Health 11, no. 12 (2024): 4875–83. https://doi.org/10.18203/2394-6040.ijcmph20243658.

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Background: The proliferation of digital technology has led to the emergence of eHealth literacy, vital for navigating health information online. India's Digital India program and initiatives like the National Digital Literacy Mission aim to address digital illiteracy and promote access to digital resources. However, socioeconomic disparities persist, contributing to significant digital divide between rural and urban areas. This study was conducted to assess the impact of sociodemographic factors on eHealth literacy and online health seeking behaviour of people. Methods: A community-based cros
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Bevilacqua, Roberta, Stefano Strano, Mirko Di Rosa, et al. "eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience." International Journal of Environmental Research and Public Health 18, no. 22 (2021): 11800. http://dx.doi.org/10.3390/ijerph182211800.

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Skills, knowledge, and awareness of digital and technological tools are essential to improve the state of well-being and health of older adults and also to mitigate the condition of social isolation in the aging process. For this reason, it is necessary to implement a social learning of electronic/digital tools for health of older people to support the achievement of eHealth and digital competences. The paper reports the results of an Italian innovative eHealth training for the European project ACCESS. The training has been based on blended didactical and interactive educational techniques, ai
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Wu, Jingxuan, Huamao Peng, Zhiyu Fan, and Heng Zhao. "FAMILY GUIDANCE WEAKENS AN EFFECT OF OLD PEOPLE’S EDUCATIONAL ATTAINMENT ON EHEALTH LITERACY BY INTERNET EXPERIENCE." Innovation in Aging 7, Supplement_1 (2023): 953–54. http://dx.doi.org/10.1093/geroni/igad104.3063.

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Abstract Background In the emerging era of digitalization, eHealth literacy is of great importance in older adults’ health and social adaptation. Objective: Explore the effect of educational attainment on eHealth literacy among older adults and examine the mediating role of Internet experience and the moderating role of guidance on the Internet from family members to reveal the underlying mechanism. Method: Four hundred and ninety-one older adults (aged 59–76 years old, Mage = 65.69±4.41) completed the eHealth Literacy Scale (eHEALS) and Internet Experience among Older Adults Scale (IEOAS) and
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Marsall, Matthias, Gerrit Engelmann, Eva-Maria Skoda, Martin Teufel, and Alexander Bäuerle. "Measuring Electronic Health Literacy: Development, Validation, and Test of Measurement Invariance of a Revised German Version of the eHealth Literacy Scale." Journal of Medical Internet Research 24, no. 2 (2022): e28252. http://dx.doi.org/10.2196/28252.

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Background The World Wide Web has become an essential source of health information. Nevertheless, the amount and quality of information provided may lead to information overload. Therefore, people need certain skills to search for, identify, and evaluate information from the internet. In the context of health information, these competencies are summarized as the construct of eHealth literacy. Previous research has highlighted the relevance of eHealth literacy in terms of health-related outcomes. However, the existing instrument assessing eHealth literacy in the German language reveals methodol
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Lin, Chung-Ying, Maryam Ganji, Mark D. Griffiths, Marie Ernsth Bravell, Anders Broström, and Amir H. Pakpour. "Mediated effects of insomnia, psychological distress and medication adherence in the association of eHealth literacy and cardiac events among Iranian older patients with heart failure: a longitudinal study." European Journal of Cardiovascular Nursing 19, no. 2 (2019): 155–64. http://dx.doi.org/10.1177/1474515119873648.

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Background: Given the importance of improving health for patients with heart failure, the present study examined the temporal associations between eHealth literacy, insomnia, psychological distress, medication adherence, quality of life and cardiac events among older patients with heart failure. Methods: With a longitudinal design older patients with echocardiography verified heart failure ( N=468; 50.4% New York Heart Association class II, mean age 69.3±7.3 years; 238 men) in need of cardiac care at seven Iranian university outpatient clinics went through clinical examinations and completed t
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Solhjoo, Niloofar, Nader Naghshineh, and Fatima Fahimnia. "Veterinarians' information Prescription and Clients' eHealth Literacy." Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 40, no. 2 (2019): 32–44. http://dx.doi.org/10.29173/jchla29377.

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Introduction: The aim of this study is to investigate the relationship between pet owner’s combined knowledge, comfort, and perceived skills at finding, evaluating, applying online pet health information, and the application of the information prescription (IP) provided for pet owners education on the internet.
 Methods: Thirty telephone interviews were conducted followed by a questionnaire of eHealth Literacy Scale (eHEALS) with pet owners after receiving an IP with a suggested websites in addition to their customary veterinary services in a vet clinic at the center of Tehran, Iran. Qual
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Chao, Dan-Ping. "Associations Between Sociodemographic Characteristics, eHealth Literacy, and Health-Promoting Lifestyle Among University Students in Taipei: Cross-Sectional Validation Study of the Chinese Version of the eHealth Literacy Scale." Journal of Medical Internet Research 26 (July 18, 2024): e52314. http://dx.doi.org/10.2196/52314.

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Background The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual’s ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan. Objecti
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Pedersen, Natalia, Peter Thielsen, Lars Martinsen, et al. "eHealth." Inflammatory Bowel Diseases 20, no. 12 (2014): 2276–85. http://dx.doi.org/10.1097/mib.0000000000000199.

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Zvárová, J., and B. Blobel. "eHealth." Methods of Information in Medicine 49, no. 02 (2010): 121–22. http://dx.doi.org/10.1055/s-0038-1625240.

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Wijnen, Ria, and Toon Verlaan. "eHealth." Geron 19, no. 2 (2017): 3. http://dx.doi.org/10.1007/s40718-017-0021-x.

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Milanti, Ariesta, Dorothy Ngo Sheung Chan, Kai Chow Choi, and Winnie Kwok Wei So. "eHealth literacy of migrant domestic workers in Hong Kong in the COVID-19 pandemic: A mixed methods study." PLOS ONE 19, no. 4 (2024): e0296893. http://dx.doi.org/10.1371/journal.pone.0296893.

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Background Health communication in the COVID-19 pandemic can be effectively implemented if all members of the populations, including marginalized population such as migrant domestic workers (MDWs), have good eHealth literacy. Lessons learned during this critical period may help improve planning and mitigation of the impacts of future health crises. Methods This study aimed to examine and explore the eHealth literacy levels of the MDWs in Hong Kong during the COVID-19 pandemic by using a convergent mixed methods research design. A total of 1156 Hong Kong MDWs participated in a paper-based surve
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Rathnayake, Sarath, and Indrajith Prasanna Liyanage. "Cross-cultural adaptation and psychometric properties of the Sinhala version of electronic health literacy scale: A cross-sectional validation study." PLOS ONE 17, no. 4 (2022): e0266515. http://dx.doi.org/10.1371/journal.pone.0266515.

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eHealth Literacy Scale (eHEALS) is the most widely used, valid and reliable tool to assess eHealth literacy skills, but no culturally appropriate tool exists to assess these skills among Sinhala-speaking Sri Lankans, including health professionals. This study aimed to cross-culturally adapt the original eHEALS from English to Sinhala and evaluate its psychometric properties. The study was conducted in two phases. The first phase involved translation and cross-cultural validation of the questionnaire. The second phase involved a cross-sectional survey conducted online among 268 health science s
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Duplaga, Mariusz, Karolina Sobecka, and Sylwia Wójcik. "The Reliability and Validity of the Telephone-Based and Online Polish eHealth Literacy Scale Based on Two Nationally Representative Samples." International Journal of Environmental Research and Public Health 16, no. 17 (2019): 3216. http://dx.doi.org/10.3390/ijerph16173216.

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Adequate ehealth literacy is one of the key instruments safeguarding people against unreliable health-related information obtained from the Internet. This paper presents an assessment of the reliability and the validity of a Polish version of the ehealth literacy scale (Pl-eHEALS). The assessment was carried out on the basis of two nationally representative samples of the Polish population. In the first survey of adults at least 50 years old, the technique of computer-assisted telephone interviewing (CATI) was applied. In the second survey of young adult women (18–35 years old), the technique
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Hübner, U. "What Are Complex eHealth Innovations and How Do You Measure Them?" Methods of Information in Medicine 54, no. 04 (2015): 319–27. http://dx.doi.org/10.3414/me14-05-0001.

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SummaryObjectives: eHealth and innovation are often regarded as synonyms – not least because eHealth technologies and applications are new to their users. This position paper challenges this view and aims at exploring the nature of eHealth innovation against the background of common definitions of innovation and facts from the biomedical and health informatics literature. A good understanding of what constitutes innovative eHealth developments allows the degree of innovation to be measured and interpreted.Methods: To this end, relevant biomedical and health informatics literature was searched
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Lin, Chung-Ying, Anders Broström, Mark D. Griffiths, and Amir H. Pakpour. "Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure." Evaluation & the Health Professions 43, no. 4 (2019): 222–29. http://dx.doi.org/10.1177/0163278719827997.

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The purpose of the present study was to examine the psychometric properties of the eHealth Literacy Scale (eHEALS) using classical test theory and modern test theory among elderly Iranian individuals with heart failure (HF). Individuals with objectively verified HF ( n = 388, 234 males, mean age = 68.9 ± 3.4) completed the (i) eHEALS, (ii) Hospital Anxiety and Depression Scale, (iii) Short Form 12, (iv) 9-item European Heart Failure Self-Care Behavior Scale, and (v) 5-item Medication Adherence Report Scale. Two types of analyses were carried out to evaluate the factorial structure of the eHEAL
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Bin Naeem, Salman, Anthony Faiola, Aziz Ur-Rehman, and Maged N. Kamel Boulos. "Electronic Health (eHealth) Literacy and Self-Care Behaviors—Results from a Survey of University Students in a Developing Country." Information 15, no. 10 (2024): 636. http://dx.doi.org/10.3390/info15100636.

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eHealth literacy (eHL) is directly linked to disease prevention, health promotion, and improved healthcare outcomes. The objectives of this study are to assess undergraduate university students’ knowledge and perceived skills of finding, appraising, and applying electronic health information to health-related problems, as well as to assess the association of eHL with physical, psychological, and emotional self-care. Methods: The measurement model, comprising four correlated factors based on the 28 valid items from two reliable and valid tests, the ‘eHealth literacy scale (eHEALS)’ and ‘the sel
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Ashaba, Justus, and Josephine Nabukenya. "Beyond monitoring functionality to results evaluation of eHealth interventions: Development and validation of an eHealth evaluation framework." Health Informatics Journal 28, no. 4 (2022): 146045822211418. http://dx.doi.org/10.1177/14604582221141834.

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Evidencing eHealth interventions, benefits generates data as a basis for assessing whether observed changes in behavior, processes or healthcare outcomes can be attributed to the eHealth interventions. Generating such evidence requires the use of frameworks or some other type of organizing schemes to help in guiding the process and making sense of eHealth systems and the findings. The frameworks available in literature do not clearly guide on how to monitor eHealth implementation and evaluate eHealth implementation results. This study aimed to develop and validate an eHealth evaluation framewo
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Bonten, Tobias N., Anneloek Rauwerdink, Jeremy C. Wyatt, et al. "Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study." Journal of Medical Internet Research 22, no. 8 (2020): e17774. http://dx.doi.org/10.2196/17774.

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Background Despite the increase in use and high expectations of digital health solutions, scientific evidence about the effectiveness of electronic health (eHealth) and other aspects such as usability and accuracy is lagging behind. eHealth solutions are complex interventions, which require a wide array of evaluation approaches that are capable of answering the many different questions that arise during the consecutive study phases of eHealth development and implementation. However, evaluators seem to struggle in choosing suitable evaluation approaches in relation to a specific study phase. Ob
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