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Skip search results from other journals and go to results- 1473 Journal of Medical Internet Research
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An Exergames Program for Adolescents With Type 1 Diabetes: Qualitative Study of Acceptability
Briefly, the first study of Exer T1 D [19] (from December 23, 2021, to July 27, 2022) was a pilot feasibility and acceptability study where 4 cohorts of 3-5 teens with T1 D completed the 6-week Exer T1 D program, led by a young adult role model with T1 D, a T1 D clinician, and an exercise physiologist.
JMIR Diabetes 2025;10:e65665
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By using a 95% confidence level and a 5% margin error, the sample should have been 385. Accounting for potential nonresponse, our target sample size in phase II was 400 participants.
We recruited participants through the local study partners (see the Study Team and Cooperation section).
We used a multistage approach to select primary health care facilities in the country.
JMIR Res Protoc 2025;14:e62929
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In a crisis, despite intense pressure, complexity, and uncertainty, leaders must be decisive, obtain and allocate stretched resources, and communicate clearly with employees, often under a spotlight [30-32].
JMIR Res Protoc 2025;14:e66402
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For example, a recent 7-year study at a large academic medical center found significantly lower rates of CGM discussions and use among Black people with T1 D compared with their White counterparts, even after adjusting for various other factors [6]. In addition, a study by the T1 D Exchange Quality Improvement Collaborative(T1 DX-QI) highlighted the presence of implicit racial bias in approximately one-third of endocrinologists when prescribing ADTs [19].
JMIR Res Protoc 2025;14:e71038
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Tools were assigned a rating of ✓ if responsiveness of the digital tool to cognitive change over time was reported.
Clinical meaningfulness is not considered a psychometric property but, rather, an important tool characteristic for interpretability of a (change in) score [29]. Clinical meaningfulness refers to a score (or its change) that can be interpreted as clinically relevant such that a qualitative meaning is assigned to the quantitative score [16,29].
J Med Internet Res 2025;27:e65297
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Patients in underdeveloped health care systems are not consistently diagnosed or treated because of a lack of information, infrastructure, resources, shortage of equipment, a lack of diagnostic accuracy, a lack of health education, and budgetary constraints, which prevents them from undergoing periodical medical examinations [9,10].
JMIR Public Health Surveill 2025;11:e72233
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Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study
To address the relevant technologies (ie, natural language processing, large language models, and chatbots), students are introduced to an AI-based smartphone app (Ada Health), which acts as a chatbot to take a symptom-based clinical history and make a suspected diagnosis [47-49]. Students then take a clinical history in groups of two from one of the lecturers, who takes on the role of a patient based on a predefined case vignette.
JMIR Med Educ 2025;11:e65220
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For instance, some participants favored evidence-based disease-related resources because they helped them learn about unfamiliar topics and clinically reason through possibilities while generating differential diagnoses for a medical case:
It’s a good start for me to go to something like Up To Date for a disease state that I’m not familiar with, just because it does give you a general recommendation, but it also ties in a lot of the most recent guidelines of literature.
JMIR Med Inform 2025;13:e60191
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The novel SARS-Co V-2 was identified in December 2019 as a cause of severe pneumonia, acute respiratory distress syndrome, and potential multiorgan failure in humans [1,2]. The disease known as COVID-19 has turned into a worldwide pandemic, causing substantial morbidity and mortality, and is now (2024) considered an endemic disease. As of December 15, 2024, the World Health Organization reports a total of 7,079,587 COVID-19 deaths worldwide [3].
JMIR Res Protoc 2025;14:e60675
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Previous studies exploring wear time of a wearable device have mainly taken place in the human-computer interaction field in a general population and disease-agnostic setting [15-19]. A few studies have looked at wear time behavior in the context of biomedical research, but only in a limited capacity.
JMIR Form Res 2025;9:e67585
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