e.g. mhealth
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Skip search results from other journals and go to results- 128 Journal of Medical Internet Research
- 82 JMIR Formative Research
- 52 JMIR mHealth and uHealth
- 29 JMIR Research Protocols
- 24 JMIR Mental Health
- 15 JMIR Human Factors
- 14 JMIR Pediatrics and Parenting
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Adolescents may have different expectations for user experience, engagement, and motivation when interacting with digital health tools [33,34]. Additionally, this age group’s developmental and emotional characteristics necessitate a design that fosters engagement and provides adequate support [35-39].
In Iraq, mental health services face significant barriers due to stigma, lack of resources, and geographical constraints, which limit adolescents’ access to traditional therapy.
JMIR Pediatr Parent 2025;8:e67137
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Uptake and engagement with the app were higher among those who chose to participate in the research component of this service project, which offered monetary incentives for engagement, compared to those who did not. Variability in uptake or engagement was also observed with respect to gender, age, race and ethnicity, educational attainment, employment, and Medicaid, but not any insurance coverage.
JMIR Mhealth Uhealth 2025;13:e54753
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While promising, research into DMHI has grappled with variability in terms of user engagement and uptake [14]. Several studies have attempted to explore the factors underpinning poor uptake, suggesting that the factors promoting initial use may differ from those that promote continued engagement [15].
J Med Internet Res 2025;27:e68544
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Besides, virtual reality–based interventions have also begun to garner research focus, with recent preliminary studies demonstrating the effectiveness and high engagement among HCPs [14,15].
Despite the growing evidence of the effectiveness of DMHIs, lack of engagement was frequently reported in trials and studies [6,16]. Many recent reviews have shown that low engagement is a ubiquitous problem among DMHIs [17-19].
JMIR Ment Health 2025;12:e67190
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Engagement with the digital platform’s program was treated as the primary exposure variable. This engagement was designed to capture the extent of interaction with the platform’s core features, hypothesized to be instrumental in achieving and sustaining weight loss. We operationalized engagement based on 3 key behaviors that the clinical and research teams identified as most likely to drive meaningful outcomes.
J Med Internet Res 2025;27:e69466
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The challenge remains to maintain long-term user engagement with m Health interventions [16]. Numerous studies have identified poor functionality and technical issues as barriers to engagement with mobile interventions, while design features such as personalization, social interaction, and customized feedback enhance user engagement [16]. Personalization is crucial, as students’ PA needs vary widely [6], and one-size-fits-all approaches are inadequate [27-29].
JMIR Form Res 2025;9:e64384
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Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data
With longitudinal studies, it can be challenging to maintain users’ engagement and compliance. It is common to observe what is called “wearables’ abandonment”; as the excitement from having a new gadget wears off, people start to wear the sensors less and less [8]. In the accelerometer research—where accelerometers are commonly used to monitor physical activity—researchers have established different methods to account for wear time in the data processing pipeline [9-12].
JMIR Mhealth Uhealth 2025;13:e46149
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YouTube User Traffic to Paired Epilepsy Education Videos in English and Spanish: Comparative Study
Through analytics available through You Tube, we can understand the factors influencing viewership and engagement with clinical videos.
Through the REACT (Reaching Out for Epilepsy in Adolescents and Children Through Telemedicine) project, Children’s Mercy Kansas City has developed online educational resources for families and children and youth with epilepsy [9].
JMIR Form Res 2025;9:e56720
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This scheme not only includes gamified elements but also features an adaptive algorithm that adjusts the training difficulty based on individual performance to enhance engagement [16,17]. The key idea of A-Ap BM is to use an algorithm to dynamically estimate individual performance and adjust the training difficulty accordingly.
JMIR Serious Games 2025;13:e56978
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Consequently, poor engagement severely limits the potential public health impact of digital parenting interventions [35,36]. Understanding and optimizing engagement in LMIC contexts is thus critical for establishing digital parenting interventions as a scalable violence prevention strategy.
Existing studies examining engagement with digital parenting interventions in HICs have largely been descriptive [37,38] or focus on sociodemographic and behavioral characteristics associated with engagement [39-42].
J Med Internet Res 2025;27:e60102
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