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Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Each street or town will be randomly assigned to either the intervention or control group, stratified by administrative division, using a random number sequence generated by R 4.4.1 software (R Core Team). The group allocation will remain concealed from both participants and the researcher conducting data analysis.

Yang Yuan, Yuying Jing, Jiyu Li, Jieyi He, David C Schwebel, Peishan Ning, Zhenzhen Rao, Li Li, Guoqing Hu

JMIR Public Health Surveill 2025;11:e76195

A Human-Centered Approach for a Student Mental Health and Well-Being Mobile App: Protocol for Development, Implementation, and Evaluation

A Human-Centered Approach for a Student Mental Health and Well-Being Mobile App: Protocol for Development, Implementation, and Evaluation

ACTRI: Altman Clinical and Translational Research Institute; CAPS: Counseling and Psychological Services; H&W: Health and Wellness; R&D: Research and Development; UC: University of California; UCSD: University of California San Diego.

Maryam Gholami, David Wing, Manas Satish Bedmutha, Job Godino, Anahi Ibarra, Byron Fergerson, Nicole May, Christopher A Longhurst, Nadir Weibel, Anne Duffy, Heidi Rataj, Karandeep Singh, Kevin Patrick

JMIR Res Protoc 2025;14:e68368

Intervention for Justice-Involved Homeless Veterans With Co-Occurring Substance Use and Mental Health Disorders: Protocol for a Randomized Controlled Hybrid Effectiveness-Implementation Trial

Intervention for Justice-Involved Homeless Veterans With Co-Occurring Substance Use and Mental Health Disorders: Protocol for a Randomized Controlled Hybrid Effectiveness-Implementation Trial

In the first model, we will regress the outcome variable of interest (eg, recidivism and the Level of Service Inventory–Revised [LSI-R] total scores) on the MISSION-CJ treatment condition. In the second model, we will regress the potential mediator of interest on the MISSION-CJ treatment condition. In the third model, we will regress the outcome of interest (eg, recidivism and the LSI-R total scores) on the potential mediator.

Kathryn Bruzios, Paige M Shaffer, Daniel M Blonigen, Michael A Cucciare, Michael Andre, Thomas Byrne, Jennifer Smith, David Smelson

JMIR Res Protoc 2025;14:e70750

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

Correlation coefficients (r) and P values were reported to assess statistical significance. Regression results were reported as standardized beta coefficients (β) along with 95% CIs, P values, and adjusted R² values to assess statistical significance and explanatory power. All analyses were conducted using Python programming tools (version 3.11; Python Software Foundation).

James F Dockins, Heather D Pahl, David J Lingerfelt

Interact J Med Res 2025;14:e70098