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The I-SHARED dataset was used to develop a data-driven prediction algorithm to guide depression treatment decisions. To be included in the dataset, patients had to have a primary diagnosis of MDD (N=17,788). The dataset comprised routinely collected intake and outcome data, as well as mental health care usage data. Intake data included sociodemographic characteristics and medical and mental health information (for a complete list, see Section B in Multimedia Appendix 1).
J Particip Med 2025;17:e67170
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A recurrent theme across these sessions was the absence of a personalized, regularly updated medium through which students could effectively engage with available university resources. Although a range of services existed, participants emphasized the need for an integrated system to support continuous search, discovery, and engagement.
JMIR Res Protoc 2025;14:e68368
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the software accepted only a narrow set of responses (Y, Yes, N, or No). Despite this, patients could respond as desired without a limit on character count. Messages containing text lacking a prespecified response triggered an outbound SMS text message to patients stating, “I don’t understand that response. Valid choices are: [prespecified choices].”
We undertook a process of feature engineering to describe patients’ interaction with the program.
J Med Internet Res 2025;27:e72875
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Using a hybrid type 1 effectiveness-implementation design [55], we will test the effectiveness of the MISSION-CJ intervention in a randomized controlled trial (RCT) across 2 large VA health care systems as well as conduct a qualitative evaluation of MISSION-CJ’s implementation.
JMIR Res Protoc 2025;14:e70750
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A key analogue practice in pathology that is now being digitized via whole-slide imaging is diagnosis. This means that, instead of examining tissue samples on glass slides under a microscope, the glass slide is scanned as a high-resolution image, and the digital slide is examined on a computer screen. Digitizing this step can be seen as a paradigm shift in the digital transformation of pathology. It affects the entire pathology workflow [6].
J Med Internet Res 2025;27:e63366
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These 7 questions were rated on a 10-point numeric rating scale, and participants were provided the anchors, 1=not at all, 10=a great deal. Participants could also select "unable to assess" as a response. Survey items were generated by members of the study team (including nursing professionals, a researcher, and physicians), whose experience helping implement the intervention informed key questions for nursing leadership to assess how implementation was going.
JMIR Nursing 2025;8:e70332
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Impact of the Exposome in Type 1 Diabetes: Protocol for a Scoping Review
Such a comprehensive understanding is essential for the identification of new strategies for disease prevention and management.
Conducting a scoping review is well-suited for this broad research question, as it allows for an exhaustive exploration, particularly for a fragmented research area. Unlike systematic reviews, scoping reviews map existing knowledge, identify research gaps, and comprehensively synthesize the available evidence [27-29].
JMIR Res Protoc 2025;14:e73424
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This is a peer-review report for “Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models.”
The paper [1] “Advancing Early Detection of Major Depressive Disorder: A Comparative Analysis of AI Models Using Multi-Site Functional MRI Data” examines a very relevant mental health disorder.
JMIRx Med 2025;6:e76746
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“Overall, I think Deep Research does produce a good first draft that would probably be readily accepted in a mid-tier journal, but which could be significantly improved with editing and revisions. Perhaps the outputs might improve with better prompts or guidance (eg providing refined outlines and a reference list).”
J Med Internet Res 2025;27:e75666
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The original study was a double-blind, randomized controlled choline feeding study. Pregnant women entering their third trimester (N=26) were randomly assigned to consume either 480 mg choline/day (roughly the AI level) or 930 mg choline/day (roughly double the AI level) [27]. All participants consumed the same study-provided, standardized diet containing 380 mg/day of choline.
JMIR Res Protoc 2025;14:e73508
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