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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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Videoconference-Delivered Acceptance and Commitment Therapy for Family Caregivers of People With Dementia: Pilot Randomized Controlled Trial

To test the equivalence of groups (ACT and control groups) in participants’ demographic and caregiving-related characteristics, as well as outcome measures in the pretest, the chi-square test (or Fisher exact test when the assumptions for the chi-square were not satisfied) was used for categorical variables, and the 2-sample t test was used for continuous variables. An intent-to-treat approach was used for all outcome analyses (ie, data from all participants were analyzed as randomized).

Areum Han, Robert Oster, Hon Yuen, Jeremy Jenkins, Jessica Hawkins, Lauren Edwards

JMIR Form Res 2025;9:e67545

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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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Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study

Ruth Wadman, Lauren Walker, Olivia Taylor, Paul Heron, Elizabeth Newbronner, Panagiotis Spanakis, Suzanne Crosland, Emily Jane Peckham

J Med Internet Res 2025;27:e55072

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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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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

At each time t, we will include the most recent observations, changes since the last reading, trends, variability in values, and comparison to the patient’s baseline. Additionally, we will include information about demographics, symptom scores, other clinical characteristics, as well as key comorbidities. We anticipate that variable interactions will be important. Given the cohort size and the number of different features, regularization will be applied to avoid overfitting.

Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda