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Skip search results from other journals and go to results- 291 JMIR mHealth and uHealth
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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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In the first method, data are automatically transferred from a standard smartphone health care app into Asmile. This method transfers the daily step count for the last 42 days each time the user opens the app. The second method involves manual input of steps recorded by a pedometer. We used only automatically linked data in this study, excluding manual input data.
J Med Internet Res 2025;27:e65943
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The main goal of this study was to evaluate the efficacy, safety, and economic impact of using the Alfalfa app, a smartphone app designed for dose consultation and adjustment in patients undergoing long-term anticoagulation therapy with warfarin. TTR was selected as the primary outcome, with a TTR of 60% or higher generally considered indicative of high-quality anticoagulant therapy [25].
JMIR Mhealth Uhealth 2025;13:e53586
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Rapid advances in technology, computing, and artificial intelligence (AI) in recent years have led to a rise in the development of digital interventions aiming to solve this scalability problem, and there are an estimated 10,000-20,000 smartphone apps available for mental health support [6,7].
J Med Internet Res 2025;27:e69351
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Consented participants received study smartphones accompanied by training on their use and summary guides on smartphone and app operation developed for this study specific to the intervention and control arms. Materials provided to participants in the rural study and randomized to the intervention are provided as an Appendix in Multimedia Appendix 1.
JMIR Cardio 2025;9:e66436
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Dry Eye Rhythm, a free smartphone app for DED surveys and research, was launched in Japan in November 2016 and in the United States in April 2018 [15]. Dry Eye Rhythm collected electronic informed consent from all users.
JMIR Res Protoc 2025;14:e67862
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