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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study

Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study

After providing all positive feedback, no subsequent changes were made to the topic guide. Following the generation of initial codes, a coding framework was cocreated with the SAG during an additional 2-hour online meeting (Microsoft Teams) on July 14, 2023. We held a final meeting on August 2, 2023, where the SAG and the 2 researchers (AF and MO) refined and consolidated themes.

Aglaia Freccero, Miriam Onwunle, Jordan Elliott, Nathalie Podder, Julia Purrinos De Oliveira, Lindsay H Dewa

JMIR Form Res 2025;9:e70327

Acceptability and Usability of a Socially Assistive Robot Integrated With a Large Language Model for Enhanced Human-Robot Interaction in a Geriatric Care Institution: Mixed Methods Evaluation

Acceptability and Usability of a Socially Assistive Robot Integrated With a Large Language Model for Enhanced Human-Robot Interaction in a Geriatric Care Institution: Mixed Methods Evaluation

Consequently, geriatric institutions will face significant challenges in managing a rising number of residents, many of whom present multiple chronic conditions that require comprehensive and personalized care [3]. In response to this societal challenge, the adoption of innovative technologies and, in particular, socially assistive robots (SARs), is increasingly considered a complementary solution to improve the well-being and autonomy of older adults (OAs) [4,5].

Lauriane Blavette, Sébastien Dacunha, Xavier Alameda-Pineda, Daniel Hernández García, Sharon Gannot, Florian Gras, Nancie Gunson, Séverin Lemaignan, Michal Polic, Pinchas Tandeitnik, Francesco Tonini, Anne-Sophie Rigaud, Maribel Pino

JMIR Hum Factors 2025;12:e76496

Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review

Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review

Strengths (S) Practical impacts Alleviate the drawbacks of behavioral interventions [57] Personalized coach and feedback [62] Practical and supportive interventions for users [53] Positive encouragement Considerable interest in virtual health coaches as a care supplement [53] High contact number and favored long interaction [68] Providing feedback and progress [62] Clinical process improvement Limited impacts on clinician workflow [55] Removing additional steps for providers by automating processes [55,62] Considering

Farzaneh Yousefi, Florian Naye, Steven Ouellet, Achille-Roghemrazangba Yameogo, Maxime Sasseville, Frédéric Bergeron, Marianne Ozkan, Martin Cousineau, Samira Amil, Caroline Rhéaume, Marie-Pierre Gagnon

J Med Internet Res 2025;27:e70381

Insights From a Mixed Methods Analysis of 3 Health Technologies Used in Patients With Parkinson Disease: Mixed Methods Study

Insights From a Mixed Methods Analysis of 3 Health Technologies Used in Patients With Parkinson Disease: Mixed Methods Study

It requires the use of an external microphone that transforms the sound created by a respiratory therapy device (both the microphone and this device were included in the evaluation performed in this study) into a graph, to provide visual feedback to people with PD on the quality of their inspiratory or expiratory maneuvers.

Daniel Pérez-Rangel, Mariana H G Monje, Sylvie Grosjean, Martin Srp, Laura Antunes, Raquel Bouça-Machado, Ricardo Cacho, Sergio Domínguez Rodríguez, John Inocentes, Timothy Lynch, Argyri Tsakanika, Dimitrios Fotiadis, George Rigas, Evžen Růžička, Joaquim J Ferreira, Angelo Antonini, Norberto Malpica, Tiago Mestre, Álvaro Sánchez-Ferro, iCARE-PD Consortium

J Med Internet Res 2025;27:e67986

Investigating the Acceptance and Implementation Conditions of Telerehabilitation in Germany Among Patients and Health Care Professionals: Qualitative Interview Study

Investigating the Acceptance and Implementation Conditions of Telerehabilitation in Germany Among Patients and Health Care Professionals: Qualitative Interview Study

Participants who wished to give feedback (both written and oral) on the results were invited. This study was approved by the Ethics Council of the University of Siegen (ER_2/2022). Prior to the interviews, all participants were informed in writing about the interview process, how their personal data would be stored, and their right to withdraw from the study and data processing at any time. All participants gave their consent to participate in the study.

Monica-Diana Podar, Susanne Stampa, Oliver Razum, Christoph Dockweiler

JMIR Rehabil Assist Technol 2025;12:e68766

Mixed Reality–Based Physical Therapy in Older Adults With Sarcopenia: Preliminary Randomized Controlled Trial

Mixed Reality–Based Physical Therapy in Older Adults With Sarcopenia: Preliminary Randomized Controlled Trial

To address these gaps, we developed a Mixed Reality–Based Physical Therapy (Mr.PT) platform designed to deliver personalized, engaging, and accessible exercise interventions. Mr.PT uses commercially available MR devices that integrate digital and real-world elements, enabling users to interact with digital environments while maintaining physical context [9,10]. Mr.PT comprises inexpensive, motivational, fun, and intensive devices [11].

Yeongsang An, Seunghwa Min, Chanhee Park

JMIR Serious Games 2025;13:e76357

Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

The feedback was given to learners at the end of the simulation based on all choices made during the simulation. Structure of the virtual simulation scenario. Screen capture of the interview phase. Screen capture of the assessment phase. For the interview phase, we adopted a linear-interactive instructional design [31]. This design is widely used in VSs in health care and allows the learner to select available questions to diagnose and care for a patient within a formalized clinical practice model.

Paul Roux, Yujiro Okuya, Cristina Morel, Mariane Soulès, Hugo Bottemanne, Eric Brunet-Gouet, Solène Frileux, Christine Passerieux, Nadia Younes, Jean Claude Martin

JMIR Serious Games 2025;13:e69347

Designing an AI-Enhanced Public Health Care Platform for the Rapidly Aging Population in South Korea: Protocol for a Mixed Methods Study Based on the Design Thinking Approach

Designing an AI-Enhanced Public Health Care Platform for the Rapidly Aging Population in South Korea: Protocol for a Mixed Methods Study Based on the Design Thinking Approach

Characterized by 5 key stages—empathize, define, ideate, prototype, and test—design thinking actively engages end users, reframes problems from their perspectives, and iterates solutions based on real-world feedback [13,14]. In this study, we group these 5 stages into 4 operational phases to streamline the design process: (1) emphathize and define, (2) ideate, and (3) prototype and test.

Jeongone Seo

JMIR Res Protoc 2025;14:e63094

Children’s Improvement After Language and Rhythm Training With the Digital Medical Device Poppins for Dyslexia: Single-Arm Intervention Study

Children’s Improvement After Language and Rhythm Training With the Digital Medical Device Poppins for Dyslexia: Single-Arm Intervention Study

By incorporating adaptive difficulty levels, immediate feedback, and rewards, serious games maintain high levels of engagement and motivation, which are critical for children with SLD reading who may otherwise avoid conventional literacy activities [15,16]. Furthermore, these games can be accessed remotely, addressing disparities in access to specialized resources and enabling frequent, home-based practice [13,17].

Charline Grossard, Melanie Descamps, Hugues Pellerin, François Vonthron, David Cohen

JMIR Serious Games 2025;13:e76435

AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration

AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration

On a broader scale, Gellert [32] cautioned about a largely unstudied systemic risk—the widespread adoption of scribes may decouple physicians from their EHRs and thereby impede the user-driven feedback necessary for the long-term evolution of next-generation clinical AI.

Tiffany I Leung, Andrew J Coristine, Arriel Benis

JMIR Med Inform 2025;13:e80898