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Skip search results from other journals and go to results- 1478 Journal of Medical Internet Research
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Disease-specific interventions also require individual clinics or specialists to deliver treatment, while a transdiagnostic intervention could be delivered in a centralized manner (eg, through referrals from different specialties within a health system) and by a mental health provider who does not need to have expertise in any 1 particular health condition.
JMIR Form Res 2025;9:e69548
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Participants completed a baseline survey, installed a commercially available web-monitoring software on their personal computer for 30 days, and then completed a follow-up survey. Survey data were collected and managed using REDCap electronic data capture tools hosted at University of Utah [15,16].
JMIR Cancer 2025;11:e65887
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To evaluate the impact on the number of donations received, GLMs using Poisson and negative binomial distributions were compared, and the negative binomial model was selected on the basis of a significant likelihood ratio test. The impact on the mean donation amount was evaluated using a GLM with a gamma distribution. Both models used a logarithm link function, and the covariates were identical to the model for the amount raised described above.
J Med Internet Res 2025;27:e72475
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Additional screening measures will include (1) the Kessler Psychological Distress Scale, for anxiety and depressive symptoms; (2) a single-item measure of substance use within the last year that, if any item is endorsed, will trigger a more detailed drug and alcohol screening questionnaire; and (3) a single-item measure of trauma that, if endorsed, will trigger a more detailed trauma screening questionnaire.
JMIR Res Protoc 2025;14:e72786
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In these studies, eligible participants in the intervention arms received either pillboxes or medication labels (similar to “99 DOTS” [10]), with the latter requiring participants to send a toll-free SMS text message each time treatment was taken. These DATs were integrated into a digital adherence platform, where participants’ digital engagement with the DATs (pillbox opened/SMS text messages sent) served as a proxy indicator of treatment adherence.
JMIR Public Health Surveill 2025;11:e62881
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Build Back Better was developed by a multidisciplinary team with content adapted from a previously developed app, Head Gear, designed to prevent depression and anxiety and improve well-being among workers in male-dominated industries [18,22]. A randomized controlled trial of Head Gear with a large sample of workers showed that the app was effective in the prevention of depression and anxiety, as well as improving a range of MH and work-related outcomes [24,25].
JMIR Form Res 2025;9:e50995
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Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial
This innovative approach positions Wayhaven as a unique tool for college students with elevated anxiety and depression symptoms, offering dynamic, evidence-based mental wellness support tailored to diverse needs. However, there is a need to evaluate its feasibility, acceptability, and preliminary effectiveness in a real-world setting.
JMIR Form Res 2025;9:e71923
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SCALE-UP II was a multisite, pragmatic clinical trial with patients randomized at the individual level in one of 2 study designs based on patients’ response to a SMS text message asking if the patient owned a smartphone, which was required for accessing the chatbot (Figure 1) [26].
J Med Internet Res 2025;27:e74145
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Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review
Studies were eligible for inclusion if they met the following criteria: (1) study focused on a topic within the fields of psychiatry or psychology education; (2) involved the use of an AI tool, model, or approach; (3) included a discussion of facilitators of or barriers to the use of AI; and (4) were available in either English or French. Papers that did not pertain to psychiatry or psychology or that referenced AI technologies without a clearly defined implementation or application were excluded.
JMIR Med Educ 2025;11:e75238
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In "Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study" (JMIR Res Protoc 2023;12:e48210), the authors noted an error.
The following references:
32. Chen I-M, Lin P-H, Wu V-C, Wu C-S, Shan J-C, Chang S-S, et al. Suicide deaths among patients with end-stage renal disease receiving dialysis: a population-based retrospective cohort study of 64,000 patients in Taiwan. J Affect Disord. Feb 2018;227:7-10.
JMIR Res Protoc 2025;14:e78287
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