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Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study

Clair Blacketer, Martijn J Schuemie, Maxim Moinat, Erica A Voss, Montse Camprubi, Peter R Rijnbeek, Patrick B Ryan

J Med Internet Res 2025;27:e74119

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A Work-Based, Fully Remote, and Peer-Supported Exercise Snack Behavior Change Intervention (MOV’D): Protocol for a Randomized Controlled Pilot Trial

Ashley Monteiro, Jessie Moore, Rocky Aikens, James J Gross, Dan Schwartz, Mike Baiocchi, Judith J Prochaska, Marily Oppezzo

JMIR Res Protoc 2025;14:e64455

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Correction: Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Satish Jaiswal, Jason Nan, Seth Dizon, Jessica O Young, Suzanna R Purpura, James K Manchanda, Dhakshin Ramanathan, Dennis J Kuo, Jyoti Mishra

JMIR Form Res 2025;9:e81122

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Effectiveness of an mHealth Program on Reducing Blood Pressure Among Young Adults With Prehypertension: Protocol of a Pragmatic Cluster Randomized Controlled Trial

Melita Sheilini, H Manjunatha Hande, Nagaraja Ravishankar, Akshay M J, Jyothi Nayak, Ramesh Chandrababu

JMIR Res Protoc 2025;14:e67216

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Identifying Adaptations to an mHealth Alcohol Reduction Intervention for Reducing Alcohol Use in Adolescent and Young Adult Cancer Survivors: Qualitative Study

Kimberly Haney, Tia Borger, Vilma Bursac, Caryn Sorge, Brent Shelton, John Salsman, Laurie McLouth, Carolyn Lauckner

JMIR Cancer 2025;11:e59949

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A Virtual Reality–Based Cognitive Defusion Application for Youth Depression and Anxiety: Mixed Methods Experimental Study

Imogen H Bell, Cassandra Li, Andrew Thompson, Carli Ellinghaus, Shaunagh O’Sullivan, Kate Alexandra Reynolds, Greg Wadley, Yang Liu, Sarah Bendall, John Gleeson, Lucia Valmaggia, Mario Alvarez-Jimenez

JMIR Ment Health 2025;12:e70160

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Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners’ Views

Charlotte Blease, Carolina Garcia Sanchez, Cosima Locher, Brian McMillan, Jens Gaab, John Torous

J Med Internet Res 2025;27:e74428

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Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study

Sky Wei Chee Koh, Eunice Rui Ning Wong, John Chong Min Tan, Stephanie C C van der Lubbe, Jun Cong Goh, Ethan Sheng Yong Ching, Ian Wen Yih Chia, Si Hui Low, Ping Young Ang, Queenie Quek, Mehul Motani, Jose M Valderas

J Med Internet Res 2025;27:e74231

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Development of a Clinic-Based, Sociostructural Intervention to Improve the Provision of Pre-Exposure Prophylaxis for Cisgender Women: Formative Study Using the Assessment, Decision, Adaptation, Production, Topical Experts, Integration, Training, and Testing (ADAPT-ITT) Framework

Rachel Katherine Scott, Shawnika J Hull, Deanna Kerrigan, Mandi Pratt-Chapman, Tara Mathias-Prabhu, Jennifer Zack, Michelle Xu, Marisa Sadauskas, Patricia L Moriarty, Tranessa L Hanson, Hannah Arem

JMIR Form Res 2025;9:e75922

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Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

Beatriz Alves, Ghada Alhussein, Sara Riggare, Therese Scott Duncan, Ali Saad, David M Lyreskog, Christos Chatzichristos, Ioannis Gerasimou, Stelios Hadjidimitriou, Leontios J Hadjileontiadis, Sofia B Dias, AI-PROGNOSIS Consortium

J Med Internet Res 2025;27:e73710

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