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Extended Reality–Enhanced Mental Health Consultation Training: Quantitative Evaluation Study

Katherine Hiley, Zanib Bi-Mohammad, Luke Taylor, Rebecca Burgess-Dawson, Dominic Patterson, Devon Puttick-Whiteman, Christopher Gay, Janette Hiscoe, Chris Munsch, Sally Richardson, Mark Knowles-Lee, Celia Beecham, Neil Ralph, Arunangsu Chatterjee, Ryan Mathew, Faisal Mushtaq

JMIR Med Educ 2025;11:e64619

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Evaluation of the Tu’Washindi Na PrEP Intervention to Reduce Gender-Based Violence and Increase Preexposure Prophylaxis Uptake and Adherence Among Kenyan Adolescent Girls and Young Women: Protocol for a Cluster Randomized Controlled Trial

Sarah T Roberts, Alexandra M Minnis, Sue Napierala, Elizabeth T Montgomery, Lina Digolo, Mackenzie L Cottrell, Erica N Browne, Jacqueline Ndirangu, Joyce Boke, Kawango Agot

JMIR Res Protoc 2025;14:e55931

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Development of a Framework for Youth- and Family-Specific Engagement in Research: Proposal for a Scoping Review and Qualitative Descriptive Study

Sarah E P Munce, Clementine Jarrett, Vjura Senthilnathan, Dorothy Luong, Brooke Allemang, Katherine Bailey, Elaine Biddiss, Maria T Britto, Francine Buchanan, Christine Cassidy, Andrea Cross, Jessie Cunningham, Gina Dimitropoulos, Scott E Hadland, Monika Kastner, Tieghan Killackey, Kristina Kokorelias, Colin Macarthur, Samantha Micsinszki, Chavon Niles, F Virginia Wright, Alene Toulany

JMIR Res Protoc 2025;14:e65733

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Correction: Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study

Susan J Oudbier, Ellen M A Smets, Pythia T Nieuwkerk, David P Neal, S Azam Nurmohamed, Hans J Meij, Linda W Dusseljee-Peute

JMIR Med Inform 2025;13:e73416

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Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

The suffixes “-L” and “-T” represent list serialization and text serialization, respectively. a Average area under the curve. b Not applicable. c XGBoost: extreme gradient boosting. In the zero-shot setting, the text template achieved an AUC of 0.59 compared to 0.54 for the list template. At 2 training shots, both templates achieved an AUC of 0.69, but the text template began to outperform, reaching an AUC of 0.67 at 32 training shots compared with 0.66 for the list template.

Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steven Hicks, Usha Sethuraman, Dongxiao Zhu