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Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study

The genuine empathy, compassion and lived experience of the DN made participants feel that the DN “actually care[d] about [them] using the technology as part of [their] appointments” (Participant 7, 6-month visit).

Carla Gorban, Min K Chong, Adam Poulsen, Ashlee Turner, Haley M LaMonica, Sarah McKenna, Elizabeth M Scott, Ian B Hickie, Frank Iorfino

JMIR Ment Health 2025;12:e70154

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Acceptance-Based Pre-Exposure Prophylaxis Intervention (ACTPrEP) to Engage Young Black Men Who Have Sex With Men in the Southern United States: Protocol for a Pilot Randomized Controlled Trial

Trisha Arnold, Kayla K Giorlando, Andrew P Barnett, Brandon A Gaudiano, Cara M Antonaccio, A Rani Elwy, Precious Patrick Edet, Lori M Ward, Laura Whiteley, Sarah Bailey, Brooke G Rogers, Avery Leigland, Jack C Rusley, Larry K Brown

JMIR Res Protoc 2025;14:e65921

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An Online Family Literacy and Wellness Program for Latino Dual Language Learners: Pilot Randomized Waitlist Controlled Trial

Although not statistically significant, there was a moderate difference on the total Stim Q2 READ scale between group 1 (ie, those who completed the program) and group 2 (ie, those who had not yet begun; Cohen d=0.55; P=.23). However, there were large and statistically significant differences between the groups on the quantity and quality subdomains (Cohen d=1.01; P=.04 and Cohen d=0.99; P=.02). By contrast, the between-group difference on the PVR scale was small and not statistically significant (P=.75).

Kevin D Guerrero, Lucia Lakata, Daniel Lima, Caroline Mendoza, Nila Uthirasamy, Lesley M Morrow, Silvia Perez-Cortes, Maria Pellerano, Alicja Bator, Pamela Ohman Strickland, Benjamin F Crabtree, Manuel E Jimenez

JMIR Pediatr Parent 2025;8:e60764

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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

For example, consider a set of variables {A,B,C,D} that have the dependency relations described by the DAG A←B→C→D, then this DAG would be consistent with the partition {{B},{A,C},{D}}. The sampling procedure was run across 8 chains and checked for convergence and resolution (Note S2 in Multimedia Appendix 1). We used the Bayesian Gaussian equivalent score to retain the ordinal information of the random variables. Simulating outcomes given a DAG is performed by constructing a Bayesian network (BN).

Mathew Varidel, Victor An, Ian B Hickie, Sally Cripps, Roman Marchant, Jan Scott, Jacob J Crouse, Adam Poulsen, Bridianne O'Dea, Sarah McKenna, Frank Iorfino