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Evaluating User Engagement With a Real-Time, Text-Based Digital Mental Health Support App: Cross-Sectional, Retrospective Study

Evaluating User Engagement With a Real-Time, Text-Based Digital Mental Health Support App: Cross-Sectional, Retrospective Study

Furthermore, the majority of both student and employee users accessed the platform using the on-demand feature instead of scheduling an appointment. The access patterns found among both student and employee users indicate that mental health support apps have the potential to increase access to mental health support services across multiple groups.

Edward Coffield, Khadeja Kausar

JMIR Form Res 2025;9:e66301

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

If the student’s immediate academic circle has a positive view of a particular technology, the student will likely also develop a favorable opinion. Similarly, tech-savvy students tend to have a positive self-perception. Early on in the acceptance of technology, students are usually eager to pioneer using advanced technologies [40-44]. Furthermore, a student’s optimism about technology is linked to their level of involvement in guiding its use.

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The association between alcohol consumption and being a college student is broadly described in the literature. Students often understand drinking during college as part of their higher education experience and a way to socialize with peers [1]. The first years of college involve major transitions, including changes in family bonds, living arrangements, and peer socialization. That type of transition is often associated with risky behaviors, including high levels of alcohol consumption [2,3].

Agustina Marconi, Reonda Washington, Amanda Jovaag, Courtney Blomme, Ashley Knobeloch, Vilma Irazola, Carolina Muros Cortés, Laura Gutierrez, Natalia Elorriaga

Interact J Med Res 2025;14:e64720

User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study

User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study

The design is informed by a literature review, 2 student creative workshops (n=13 participants), and social cognitive theory [33]. Studies report that PA interventions are more successful when they are theory based [34,35]. Components of social cognitive theory such as health-related knowledge, individual goal setting, and social support are transferred into the functions of the app to support users in successfully and sustainably increasing their PA.

Silke Wittmar, Tom Frankenstein, Vincent Timm, Peter Frei, Nicolas Kurpiers, Stefan Wölwer, Axel Georg Meender Schäfer

JMIR Form Res 2025;9:e64384

Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination

Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination

Thus, we aimed to be as specific as possible, simulating the context of a medical student taking the medical board examination. The prompts hence included the request to answer each respective question with 5 possible answers, where only 1 answer was correct. We asked the models to justify their choices based on the provided patient case information, and to estimate their confidence in the answer’s accuracy as a percentage of maximal confidence (ie, 100%).

Julian Madrid, Philipp Diehl, Mischa Selig, Bernd Rolauffs, Felix Patricius Hans, Hans-Jörg Busch, Tobias Scheef, Leo Benning

JMIR Med Educ 2025;11:e58375

Exploring Social Media Use Among Medical Students Applying for Residency Training: Cross-Sectional Survey Study

Exploring Social Media Use Among Medical Students Applying for Residency Training: Cross-Sectional Survey Study

The outcomes measured included demographic data; social media platform use (platforms that were used daily, platforms used for residency programs, and the influence of social media on stages of the residency application process); content posted on social media platforms (student content that was trusted, not trusted, desired, deterrents, and then helpful); nonsocial media resources used for learning about residency programs; and reasons why participants did not use social media.

Simi Jandu, Jennifer L Carey

JMIR Med Educ 2025;11:e59417

Generative Artificial Intelligence in Medical Education—Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey

Generative Artificial Intelligence in Medical Education—Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey

Recognizing that students are unlikely to have knowledge of policy, curriculum planning, or those related to faculty or administrators, the SGA president’s survey exclusively encompassed questions about current student policies and training (Multimedia Appendix 2).

Tsunagu Ichikawa, Elizabeth Olsen, Arathi Vinod, Noah Glenn, Karim Hanna, Gregg C Lund, Stacey Pierce-Talsma

JMIR Med Educ 2025;11:e58766

Smartphone-Based Intervention Targeting Norms and Risk Perception Among University Students with Unhealthy Alcohol Use: Secondary Mediation Analysis of a Randomized Controlled Trial

Smartphone-Based Intervention Targeting Norms and Risk Perception Among University Students with Unhealthy Alcohol Use: Secondary Mediation Analysis of a Randomized Controlled Trial

For example, in a randomized controlled trial (RCT) among college students, La Brie and colleagues [23] compared the efficacy of PNF with different levels of specificity of the reference group (ie, 7 groups with typical same-campus student as a reference with level of specificity based on a combination of gender, race, and Greek affiliation) with a typical same-campus student as a reference.

Joseph Studer, John A Cunningham, Elodie Schmutz, Jacques Gaume, Angéline Adam, Jean-Bernard Daeppen, Nicolas Bertholet

J Med Internet Res 2025;27:e55541