Results 61 to 70 of about 20,487 (162)

Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences

Journal of Medical Internet Research, 2013
BackgroundConsumer use of mobile devices as health service delivery aids (mHealth) is growing, especially as smartphones become ubiquitous. However, questions remain as to how consumer traits, health perceptions, situational characteristics, and ...
Rai, Arun, Chen, Liwei, Pye, Jessica, Baird, Aaron   +3 more
doaj   +1 more source

The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study

Journal of Medical Internet Research, 2021
BackgroundMobile health (mHealth) as an innovative form of information and communications technology can efficiently deliver high-quality health care by enhancing communication and health management, reducing costs, and increasing
Ashraf Sadat Ahadzadeh, Shin Ling Wu, Fon Sim Ong, Ruolan Deng   +3 more
doaj   +1 more source

On design of Interference Self-Coordination (ISC) solution to enable mHealth services in HetNets

, 2016
As defined by WHO and ITU, mobile health (mHealth) is expected to change healthcare service modes and will be at the core of the future healthcare system.
Jiao, Bingli, Anpeng Huang, Yang, Hemin, Bingli Jiao, Hemin Yang, Yaxing Qiu, Huang, Anpeng, Qiu, Yaxing   +7 more
core   +1 more source

Personal goals in consumers' adoption of mHealth services

, 2021
Purpose: mHealth services are effective and cost efficient, yet wide-scale adoption of these services by consumers has yet to be achieved, constraining their public health benefit.
Schuster, L, Parkinson, J
core   +1 more source

The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial

Journal of Medical Internet Research, 2023
BackgroundAlthough mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time.
Arkers Kwan Ching Wong, Jonathan Bayuo, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Avis Cheuk Ki Lau   +5 more
doaj   +1 more source

Remote health monitoring using online social media

, 2014
Chonlatee Khorakhun was funded by the Scottish Informatics and Computer Science Alliance (SICSA).Remote monitoring is an essential part of future mHealth systems for the delivery of personal and pervasive healthcare, especially to allow the collection of
Bhatti, S. N., Chonlatee Khorakhun, Saleem N. Bhatti, Khorakhun, C.   +3 more
core   +1 more source

Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong

JMIR mHealth and uHealth, 2019
BackgroundHealth apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices,
Guan, Lu, Peng, Tai-Quan, Zhu, Jonathan JH   +2 more
doaj   +1 more source

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

JMIR Human Factors, 2022
BackgroundChronic pain is a prolonged condition that deteriorates one's quality of life. Treating chronic pain requires a multicomponent approach, and in many cases, there are no “silver bullet” solutions.
Saba Kheirinejad, Andy Alorwu, Aku Visuri, Simo Hosio   +3 more
doaj   +1 more source

Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program [PDF]

, 2017
Background: Infant feeding practices, including breastfeeding and optimal formula feeding practices, can play a role in the prevention of childhood obesity.
Campbell, KJ, Sarah Taki, Elizabeth Denney-Wilson, Russell, CG, Litterbach, E-K, Denney-Wilson, E, Denney-Wilson, E ; https://orcid.org/, Taki, S, Catherine G Russell, Rachel A Laws, Karen J Campbell, Eloise-Kate Litterbach, Laws, RA, Litterbach, EK   +13 more
core   +1 more source

Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance

npj Digital Medicine
Mobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and signpost ...
Christopher Duckworth, Bethany Cliffe, Brian Pickering, Ben Ainsworth, Alison Blythin, Adam Kirk, Thomas M. A. Wilkinson, Michael J. Boniface   +7 more
doaj   +1 more source