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This can work well when quick responses are needed (for example, a travel itinerary), but could be potentially problematic when used in the context of mental health. For example, this approach may replace guided self-discovery by a trained therapist with less relevant advice and answers extracted from the archives of the internet.
At the core of a successful outcome in therapy is the relationship between a client and a therapist [5].
J Med Internet Res 2025;27:e67365
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Finally, they were asked to rate the perceived importance of a variety of possible domains and constructs representing potential outcomes and mechanisms of XR interventions for pain using a numeric scale from 0 to 10 (0=not at all important; 10=extremely important).
Surveys were administered through a REDCap (Research Electronic Data Capture; Vanderbilt University) interface hosted by the Boston Children’s Hospital.
J Med Internet Res 2025;27:e58947
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The website also included a page to set a weekly PA goal and visually tracked (via a graph) the number of videos watched per week. Participants randomized to the intervention group received individual login information for the Mom Zing website via email and up to 6 reminders (text and email per each participant’s preference) to log into the Mom Zing website (73% text and 27% email).
JMIR Ment Health 2025;12:e64507
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This could refer to a single digital component or a combination of digital approaches. No face-to-face delivery of content occurred, but this definition allows for a baseline in-person contact to set-up digital components or in-person assessment visits.
Digitally led: Trial arm received content primarily via digital means.
J Med Internet Res 2025;27:e65443
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Facial expression recognition technology can capture students’ emotional reactions, providing teachers with a more comprehensive evaluation basis, thereby more accurately assessing students’ comprehensive qualities and potential. In addition, traditional medical education often adopts a teacher-led teaching mode in teaching methods, lacking student participation and interaction.
JMIR Hum Factors 2025;12:e72838
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We restricted the analysis to counties with a minimum of 50 weeks of available wastewater data during the study period, which resulted in 107 counties being included, covering a range of geographic areas within the United States, and with periods of data incompleteness for the majority of counties. We assessed the correlation between wastewater metrics and case totals with different time lags (0 wk, 1 wk, 2 wk, etc), and found that a 0 week time lag has the highest correlation.
JMIR Public Health Surveill 2025;11:e68213
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Key questions answered by including these participants will include identifying psychosocial and demographic factors associated with a timeline to sample return (for those who return a sample at a future wave) as well as how these factors differentiate those who do not return a sample going forward.
We estimated pre-enrollment HIV incidence using baseline data on HIV serostatus and HIV testing history prior to joining the study.
JMIR Public Health Surveill 2025;11:e66921
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The VOSviewer software (version 1.6.20) provides a visualized and comprehensive understanding of the relationships between different networks within the dataset [20]. Normalization was applied at full counting for co-citation, co-occurrence, and international collaboration analyses. A maximum of 25 countries per document and a minimum of 5 documents per country were established as eligibility criteria, resulting in 53 eligible countries, of which 13 met the collaboration threshold.
Interact J Med Res 2025;14:e64829
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A JITAI includes 6 key elements, namely a distal outcome, proximal outcomes, decision points, intervention options, tailoring variables, and decision rules. While research has established that digital mental health tools for problem anger are feasible, much remains unknown about how to design a JITAI for this population, and more empirical work including data-driven approaches to designing JITAI is needed [14,17].
JMIR Hum Factors 2025;12:e62960
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To adapt to the requirements of the NFDI4 Health user community, a new version of the MDS was released every 3 months. During each cycle, use case requirements were gathered and modeled and a release candidate of the MDS was prepared. Upon review by all members of the MDS team, the release candidate was shared with the NFDI4 Health community and a commenting phase was initiated.
JMIR Med Inform 2025;13:e63906
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