Results 41 to 50 of about 105,487 (281)

Effectiveness of eHealth weight management interventions in overweight and obese adults from low socioeconomic groups: a systematic review

open access: yesSystematic Reviews, 2023
Background Low socioeconomic status (SES) is associated with increased rates of overweight and obesity. Proponents of electronic health (eHealth) hypothesise that its inclusion in weight management interventions can improve efficacy by mitigating typical
R. Myers-Ingram   +3 more
semanticscholar   +1 more source

Attitudes towards the use and acceptance of eHealth technologies : a case study of older adults living with chronic pain and implications for rural healthcare [PDF]

open access: yes, 2015
Acknowledgements The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.
AJ Mort   +24 more
core   +2 more sources

Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese Netizens

open access: yesJournal of Medical Internet Research, 2020
Background Since its outbreak in January 2020, COVID-19 has quickly spread worldwide and has become a global pandemic. Social media platforms have been recognized as important tools for health-promoting practices in public health, and the use of social ...
Xiaojing Li, Qinliang Liu
semanticscholar   +1 more source

eHealth Literacy Instruments: Systematic Review of Measurement Properties

open access: yesJournal of Medical Internet Research, 2021
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.
Jiyeon Lee, Eun-Hyun Lee, Duckhee Chae
semanticscholar   +1 more source

The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them

open access: yesJournal of Medical Internet Research, 2022
Human-centered design (HCD) is widely regarded as the best design approach for creating eHealth innovations that align with end users’ needs, wishes, and context and has the potential to impact health care.
L. van Velsen   +2 more
semanticscholar   +1 more source

Technology for Older Adults: Maximising Personal and Social Interaction : Exploring Opportunities for eHealth to Support the Older Rural Population with Chronic Pain [PDF]

open access: yes, 2015
Funding The TOPS project is supported by an award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub, award reference EP/G066051/1.Peer reviewedPublisher ...
Currie, Margaret   +3 more
core   +1 more source

Pervasive eHealth services a security and privacy risk awareness survey [PDF]

open access: yes, 2016
The human factor is often recognised as a major aspect of cyber-security research. Risk and situational perception are identified as key factors in the decision making process, often playing a lead role in the adoption of security mechanisms.
Bellekens, Xavier   +5 more
core   +3 more sources

Association of social capital with self-perceived eHealth literacy among community-dwelling older people: Age and gender differences

open access: yesFrontiers in Public Health, 2023
Background Studies have confirmed that social factors, including social capital and eHealth literacy, are important in later life. Currently, few studies are available for determining the relationship between social capital and eHealth literacy, and ...
Chenglin Cao   +7 more
semanticscholar   +1 more source

eHealth in Geriatric Rehabilitation: Systematic Review of Effectiveness, Feasibility, and Usability

open access: yesJournal of Medical Internet Research, 2021
BackgroundeHealth has the potential to improve outcomes such as physical activity or balance in older adults receiving geriatric rehabilitation.
Jules J M Kraaijkamp   +5 more
doaj   +1 more source

Linking recorded data with emotive and adaptive computing in an eHealth environment [PDF]

open access: yes, 2011
Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home.
Ball, Leslie D.   +3 more
core   +2 more sources

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