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A Nurse-Led Telemonitoring Approach in Diabetes During the COVID-19 Pandemic: Prospective Cohort Study

Stephanie A Noonan, Amanda L Gauld, Maria I Constantino, Margaret J McGill, Timothy L Middleton, Ian D Caterson, Luigi N Fontana, Stephen M Twigg, Ted Wu, Raaj Kishore Biswas, Jencia Wong

JMIR Diabetes 2025;10:e68214

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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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Acceptance, Drivers, and Barriers to Use of mHealth Apps to Improve Quality of Life in Female Patients Affected by Hypothyroidism: Cross-Sectional Study

Moritz Doll, Ranujan Chandrakumar, Lisa Maria Jahre, Eva-Maria Skoda, Hannah Dinse, Dagmar Führer, Eleni Lampropoulou, Martin Teufel, Alexander Bäuerle

JMIR Form Res 2025;9:e67317

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

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

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

Tiffany I Leung, Andrew J Coristine, Arriel Benis

JMIR Med Inform 2025;13:e80898

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