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Skip search results from other journals and go to results- 967 JMIR mHealth and uHealth
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Mobile health (m Health) interventions tailored to young people living with HIV/AIDS seem highly promising, considering that so-called Gen Z tend to be digital natives who routinely use apps. At first glance, messaging interventions to improve adherence seem practical, low-cost, and prone to tailoring to users’ needs [4,5]. However, medication adherence involves complex behavioral aspects.
JMIR Res Protoc 2025;14:e66941
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Mobile health (m Health), which involves using mobile devices to enhance health care services and research, has proven advantageous when incorporated with machine learning [15]. A machine learning m Health technique was used to detect false-positive HIV test results in another South African study [15]. The technology demonstrated high levels of sensitivity (97.8%) and specificity (100%) compared to conventional visual interpretations of HIV rapid diagnostic tests [15].
Interact J Med Res 2025;14:e64829
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Mobile health (m Health), a health care support system that uses mobile devices to provide health care services, has recently attracted attention as a tool to maintain and improve health. Several studies have shown that m Health apps contribute to weight loss [9], blood pressure reduction [10], cardiovascular disease (CVD) risk reduction [11], and cognitive function improvement [12,13]. Thus, m Health apps are beginning to be recognized as valuable tools for various purposes in health promotion.
J Med Internet Res 2025;27:e65943
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fruit and vegetable goal and then created an action plan (ie, implementation intention); (2) coping group: set a goal to eat more fruits and vegetables then created a coping plan (ie, implementation intention); (3) both groups: set a goal to eat fruits and vegetables then created both action and coping plans
School
CG: did not receive any food education intervention
IG: computer-based game designed to increase vegetable consumption
Family-based setting
CG: no intervention
IG: participants used the SMARTFAMILY m Health
J Med Internet Res 2025;27:e60602
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Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study
Indeed, many direct-to-consumer AI-enabled m Health (AI-m Health) apps are already in widespread use by individuals seeking to address particular health concerns, obtain personalized insights into their health, promote health-seeking behaviors, and help set and achieve well-being goals [2].
JMIR Mhealth Uhealth 2025;13:e64715
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Parents’ Motivations for Calling an Out-of-Hours Helpline: Qualitative Study
mhealthMobile Health (mhealth)
J Med Internet Res 2025;27:e66780
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Patients’ Expectations for App-Based Therapy in Knee Osteoarthritis: User-Centered Design Approach
Reference 22: mHealth technologies for osteoarthritis self-management and treatment: a systematic review Reference 28: The impact of mHealth interventions: systematic review of systematic reviewsmhealth
JMIR Rehabil Assist Technol 2025;12:e64607
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Reference 18: MHealth: use of mobile wireless technologies for public health(https://apps.who.int/gb/mhealthmHealth for Wellness, Behavior Change and Prevention
JMIR Pediatr Parent 2025;8:e58752
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Previous feasibility studies have shown that interventions based on mobile health (m Health) could promote the empowerment of patients with schizophrenia [9,13]. Some m Health interventions may also be effective for increasing treatment adherence and decreasing relapses [13,14].
Several digital solutions also specifically for schizophrenia exist [15,16].
JMIR Hum Factors 2025;12:e67659
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