Background: Many individuals in urban low-income settings face barriers to engaging in primary care. The advancement of mobile health (mHealth) expands options for facilitating communication between primary care providers and clients. Objective: We conducted…
Continue Reading
Background: Augmented reality (AR) superimposes virtual objects onto a real-world environment, allowing users to interact in real time. As AR has become widely used, its integration into smartphones or tablets has enabled mobile augmented…
Continue Reading
The Privacy Gap in Wearable Technology
Senator Bill Cassidy, R-La., is leading a crucial effort to strengthen privacy protections for health information collected through wearable devices and mobile health applications. As chair of the Senate…
Background: Military veterans may be at increased risk of post-traumatic stress disorder (PTSD) compared to the general population. PTSD is often comorbid with harmful and problematic patterns of gambling. Behavioural therapies such as Acceptance…
Continue Reading
Background: Enhancing self-management and transition readiness in adolescents with epilepsy is essential for successful transition to adult care. The combination of the transtheoretical model (TTM) and mobile health (mHealth) management provides a framework for…
Continue Reading
Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…
Continue Reading
Background: In Lebanon, disadvantaged pregnant women show poor maternal outcomes due to limited access to antenatal care (ANC) and a strained health care system, compounded by ongoing conflicts and a significant refugee population. Despite…
Continue Reading
Background: Missing data are inevitable in mobile health (mHealth) and ubiquitous health (uHealth) research and are often driven by distinct within- and between-person factors that influence compliance. Understanding these distinct mechanisms underlying nonresponse can…
Continue Reading
Background: Major depressive disorder is often a recurrent condition, with a high risk of relapse for individuals remitted from depression. Early detection of relapse is critical to improve clinical outcomes. Mobile health (mHealth) technologies…
Continue Reading
Background: Implementation frameworks like the EPIS model emphasize the importance of the “fit” between an intervention and its context, which includes the needs of its target population, as well as the culture, resources, and…
Continue Reading
