e.g. mhealth
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Skip search results from other journals and go to results- 291 JMIR mHealth and uHealth
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Keywords relevant to the e Health technology infrastructure were, for example, internet, online, internet of things, cloud computing, blockchain, information-systems, interoperability, smartphone, cloud, etc. The second group included security, blockchain, authentication, encryption, access control, cryptography, privacy protection, access-control, and other data security and privacy considerations.
J Med Internet Res 2025;27:e60071
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Women show a high tendency to search for pregnancy-related information on the web and via smartphone apps [15,16]. The number of health apps for pregnant women that are easy to access and can introduce new ways to perinatal care delivery, especially in low socioeconomic settings, is growing [15,17]. The quality and effectiveness of mobile apps vary tremendously, though, which can lead to mistrust and discontinuance of the app [18,19].
JMIR Hum Factors 2025;12:e66658
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EMA has been implemented with adolescents as young as 9 years by using smartphone apps and SMS text messaging [8-10]. The advantages of EMA over retrospective assessments include a higher level of temporal detail that captures changes in real time, ecological validity, and reliability [7].
JMIR Form Res 2025;9:e60073
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While most studies have evaluated internet-delivered DMHIs (ie, delivered on websites), smartphone apps targeting depressive and anxiety symptoms have also shown positive results, with small to medium pooled effect sizes for anxiety (Hedges g=0.26; 95% CI 0.21-0.31) and depression (Hedges g=0.50; 95% CI 0.40-0.61) [17,18].
JMIR Hum Factors 2025;12:e69499
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With the use of just an ubiquitous smartphone camera, remote photoplethysmography (r PPG) technology can measure vital signs remotely, eliminating the need for traditional in-person physical assessments. In telehealth and patient care applications, noninvasive vital sign measurements can transform billions of devices into cost-effective and portable health care measuring devices [1].
JMIR Form Res 2025;9:e60455
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Smartphone-based EMAs can assess dynamic symptoms such as SI, and help measure its duration, while enabling a safe disclosure of SI without face-to-face contact with the researcher or clinician [19,20]. However, most EMA studies on suicidality, as also EMA studies on day-to-day functioning of people with schizophrenia have been conducted in higher-income countries [21].
JMIR Form Res 2025;9:e67745
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Eligible caregivers were identified from the HCT clinic schedule and inpatient HCT unit based on the following eligibility criteria: (1) English-speaking, (2) 18 years of age or older, (3) having a child between 2 and 18 years of age undergoing allogeneic HCT, and (4) having a smartphone (either Android or i Phone) at recruitment and during the study period. All 20 caregivers of children who received HCT during the study period and met the eligibility criteria were approached for participation.
JMIR Cancer 2025;11:e66847
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The number of steps reported to the group chat in the DPSA was measured by the smartphone but was not used as an outcome.
Physical function was assessed using grip strength and the 30-second chair stand test (CS-30). The grip strength was measured using a digital dynamometer (Grip D; TKK 5401; Takei Scientific Instruments).
JMIR Aging 2025;8:e66610
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Mair et al [18] showed the feasibility of using personalized smartphone-delivered JITAI in elderly people. JITAI was tailored to the individual based on real time physical activity, daily physical activity goal, time of day, and weather conditions [18].
In most JITAI studies to date, however, the criteria for the intervention have been uniform (eg, 15 steps fewer per hour and sitting continuously for 30 or 60 minutes), and have not reflected the different activity patterns of the individual [12,18].
JMIR Hum Factors 2025;12:e66750
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Eligible studies involved participants diagnosed with UD, BD, or HC and used portable or wearable digital devices such as smartphone apps, wearable sensors, or audio or visual recordings. The studies were required to either compare digital phenotyping results with diagnostic outcomes from professional medical evaluations, compare UD with BD, or perform a classification task involving UD, BD, and HC.
J Med Internet Res 2025;27:e72229
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