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A Virtual Simulator to Improve Weight-Related Communication Skills for Health Care Professionals: Mixed Methods Pre-Post Pilot Feasibility Study

A Virtual Simulator to Improve Weight-Related Communication Skills for Health Care Professionals: Mixed Methods Pre-Post Pilot Feasibility Study

The tool comprised a pretraining stage of watching short educational videos on obesity science, weight-related communication, and weight stigma, then using the simulation tool (Multimedia Appendices 1 and 2). This study used purposive and snowball sampling strategies to obtain a sample of 31 participants. This sample size aligns with recommendations for feasibility trials, which suggest total sample sizes ranging from N=24 to 50 [39].

Fiona Quigley, Leona Ryan, Raymond Bond, Toni McAloon, Huiru Zheng, Anne Moorhead

JMIR Med Educ 2025;11:e65949

Mobile-Based Cognitive Behavioral Therapy for Health Care Workers’ Mental Health in Ecuador: Quasi-Experimental Study

Mobile-Based Cognitive Behavioral Therapy for Health Care Workers’ Mental Health in Ecuador: Quasi-Experimental Study

By conducting a quasi-experimental, nonrandomized controlled trial among health care workers in a public hospital in Ecuador, this research seeks to evaluate the impact of the “Psicovida” mobile app [16], a digital tool designed to support mental health through cognitive behavioral therapy (CBT)–based activities, on depression and emotional distress symptoms.

Sandra Lorena Muñoz-Ortega, Rubén Vladimir Alvarado Muñoz, Daniela Santamaria Guayaquil, Jade Pluas-Borja, Marco Faytong-Haro

JMIR Hum Factors 2025;12:e58943

Integrating Patient Choice and Collaborative Care Managers to Implement eHealth Tools in Depression: Self-Report Pilot Study

Integrating Patient Choice and Collaborative Care Managers to Implement eHealth Tools in Depression: Self-Report Pilot Study

Exclusion criteria consisted of already using an e-MH tool, cognitive impairment, substance use, and unstable mental or physical health problems (eg, marked suicidality and active psychosis). Participants were recruited between January 2021 and March 2022. The care manager performed a routine initial mental health evaluation for patients referred to the Co CM by their PCP.

Jennifer Severe, Adrienne Lapidos, Danielle S Taubman, Amy Sochowicz, Sophia Wolk, Daniela Lopez, Abigail Biehl, Sagar V Parikh

J Particip Med 2025;17:e55349

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

The aim of this study was to understand the tailoring variables and co-design the intervention options of a JITAI with individuals who have experienced trauma and problem anger, alongside experts in digital and mental health, by understanding: What is the preferred language, visual features, and content of a digital mental health tool to help individuals manage their problem anger? When do individuals need support to manage their anger differently?

Olivia Metcalf, David Forbes, Lauren M Henry, Tianchen Qian, Tracey Varker, Melissa A Brotman, Sean Cowlishaw, Karen E Lamb, Meaghan L O'Donnell

JMIR Hum Factors 2025;12:e62960

Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study

Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study

However, there are currently no studies assessing outcomes for a digital tool specifically created for a specialist NHS WMS that is fully incorporated into the patient pathway. In September 2022, an innovative digital support tool, Gro Health W8 Buddy, was launched in the specialist WMS at University Hospital Coventry and Warwickshire Trust (UHCW). W8 Buddy is a bespoke version of the NHS-certified app “Gro Health.”

Petra Hanson, Farah Abdelhameed, Mohammed Sahir, Nick Parsons, Arjun Panesar, Michaela de la Fosse, Charlotte Summers, Amit Kaura, Harpal Randeva, Vinod Menon, Thomas M Barber

J Med Internet Res 2025;27:e62661

Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management

Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management

response using technological tools: a qualitative study assessing the perception of practitioners and tooltool

The NIGHTINGALE Consortium, Marta Caviglia

J Med Internet Res 2025;27:e67318

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

The ability of the EACH score to distill complex clinical data into a quantifiable stroke risk assessment provides a clear and actionable tool for perioperative stroke risk stratification.

Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res 2025;27:e58021

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era

Gen AI, a novel communication tool, mimics human responses during follow-up inquiries. Its conversational nature is particularly advantageous for health communication, enabling it to address various health inquiries, deliver customized health information, provide education, offer consultations, assist in disease diagnosis, simplify complex health reports, and translate health-related questions into multiple languages [5-7].

Jamal Uddin, Cheng Feng, Junfang Xu

J Med Internet Res 2025;27:e66032