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Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach

Sara M Hondmann, Laura Schrauwen, Thomas Reijnders, Esmee Stoop, Andrea WM Evers, Valentijn T Visch, Douwe E Atsma, Veronica R Janssen

JMIR Cardio 2025;9:e56236

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Effects of Acute Time-Restricted Eating on Inflammation in Individuals With Psoriasis: Protocol for a Case-Control, Prospective Study

Sinibaldo Romero Arocha, Kim Han, Rebecca D Huffstutler, Geethika P Thota, Natalie A Macheret, Amber B Courville, Robert J Brychta, Kong Y Chen, Stephanie T Chung, Laura C Coates, Alexander J Clarke, Michael N Sack

JMIR Res Protoc 2025;14:e74999

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“PrevenganT2,” a Culturally Responsive Family-Based Diabetes Prevention Intervention for Hispanic or Latino Adults at High Risk for Type 2 Diabetes: Protocol for a Proof-of-Concept Evaluation

Brooke E Franklin, Brynn L Meulenberg, Elizabeth Z Beaulieu, Jessica Cisneros-Macias, Yiqing Cao, Sara Carbajal-Salisbury, Jeannette Villalta, Nelamaria Flores, Virginia Fuentes, Maria C Hernandez, Diana Parry-Alba, Carmen Rodriguez, Yolanda Rodriguez, Veronica S Zavala Orozco, Anu Asnaani, Ana Sanchez-Birkhead, Katherine J W Baucom

JMIR Res Protoc 2025;14:e66317

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The Cost-Effectiveness of Digitally Supported Mental Well-Being Prevention and Promotion Targeting Nonclinical Adult Populations: Systematic Review

Sara Claes, Fleur Van De Wielle, Els Clays, Lieven Annemans

JMIR Ment Health 2025;12:e72458

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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review

Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

JMIR Res Protoc 2025;14:e73602

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

The final themes and subthemes were articulated using clear and precise language, following the methodology outlined by Braun and Clarke [33]. To ensure the credibility and reliability of the analysis, themes were cross-validated. Agreement on code assignment was measured using Cohen κ statistic [34], with a threshold of 0.80 considered acceptable [34]. The final themes were established through consensus building among the researchers.

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