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Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Both medical-technical and teamwork skills were included in the training, with the difficulty level increasing throughout the day. Every SHO participated in at least 2 scenarios during the 1-day training, while having an observer role in the nonparticipating scenarios. During the repetition training sessions, a single clinical scenario was executed and repeated until skills were mastered.

Anne A C van Tetering, Ella L de Vries, Peter Ntuyo, E R van den Heuvel, Annemarie F Fransen, M Beatrijs van der Hout-van der Jagt, Imelda Namagembe, Josaphat Byamugisha, S Guid Oei

JMIR Med Educ 2025;11:e54911

Effect of Immersive Virtual Reality Teamwork Training on Safety Behaviors During Surgical Cases: Nonrandomized Intervention Versus Controlled Pilot Study

Effect of Immersive Virtual Reality Teamwork Training on Safety Behaviors During Surgical Cases: Nonrandomized Intervention Versus Controlled Pilot Study

This training was delivered to the participants using a VR head-mounted display to ensure an immersive environment (see Multimedia Appendix 1 for a 1-minute summary clip of the training). Specifically, we used the Pico Neo 3 Pro Eye headset (PICO Technology Co Ltd) with 6 Do F VR hardware or software to administer the training. Participants were exposed to a 45-minute immersive VR-based training based on Team STEPPS principles to improve safety behaviors.

Lukasz Mazur, Logan Butler, Cody Mitchell, Shaian Lashani, Shawna Buchanan, Christi Fenison, Karthik Adapa, Xianming Tan, Selina An, Jin Ra

JMIR Med Educ 2025;11:e66186

AI in Home Care—Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study

AI in Home Care—Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study

These artificial intelligence (AI)–driven models, powered by generative AI, provide new ways to deliver personalized, interactive learning experiences that can complement and expand upon traditional training methods, offering significant potential to improve the effectiveness and accessibility of caregiver support and training [5]. The recent emergence of generative AI models referred to as LLMs, has introduced new opportunities in AI [5].

Clara Pérez-Esteve, Mercedes Guilabert, Valerie Matarredona, Einav Srulovici, Susanna Tella, Reinhard Strametz, José Joaquín Mira

J Med Internet Res 2025;27:e70703

Impact of a Virtual Reality Video ("A Walk-Through Dementia") on YouTube Users: Topic Modeling Analysis

Impact of a Virtual Reality Video ("A Walk-Through Dementia") on YouTube Users: Topic Modeling Analysis

Previous studies have explored various topics involving You Tube and ADRD, such as assessing the quality of ADRD caregiving information on the platform [13], describing social media activities for aging and ADRD education [14], developing internet-based ADRD training modules [15], examining You Tube’s effectiveness in dementia education to a target community [16], and exploring the role of personal stories in raising awareness about dementia [17].

Xiaoli Li, Xiaoyu Liu, Cheng Yin, Sandra Collins, Eman Alanazi

JMIR Form Res 2025;9:e67755

Online-Based and Technology-Assisted Psychiatric Education for Trainees: Scoping Review

Online-Based and Technology-Assisted Psychiatric Education for Trainees: Scoping Review

Prior to the title and abstract screening process, both MAMK and SMYAS underwent screening training to promote standardization and to identify possible conflicts.

Mohd Amiruddin Mohd Kassim, Sidi Muhammad Yusoff Azli Shah, Jane Tze Yn Lim, Tuti Iryani Mohd Daud

JMIR Med Educ 2025;11:e64773

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

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

In the face of changing workforce training requirements (coupled with significant health care workforce expansion plans), there is a growing recognition that the effective implementation of emerging technologies could help overcome some of the logistical and resource-related barriers involved in education and training. Mental health nursing, in particular, faces distinct challenges that necessitate specialized training solutions.

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

Exploring the Use of an Augmented Reality Device Learning Tool for Multidisciplinary Staff Training on Domestic Abuse and Sexual Violence: Postintervention Qualitative Evaluation

Exploring the Use of an Augmented Reality Device Learning Tool for Multidisciplinary Staff Training on Domestic Abuse and Sexual Violence: Postintervention Qualitative Evaluation

HCPs spoke about the importance of training in how to identify and respond to DA in their own specific clinical setting [16]. Evaluations of existing domestic violence support training programs for HCPs have demonstrated significant improvements in knowledge and confidence in how to identify and respond to survivors [17] and hence, we set out to design a training program adjunct, using a mixed reality device.

Dilroshini Karunaratne, Jessica Whittock, Amber Moore, Krishna Dasigan, Jasmine Chevolleau, Brent Bartholomew, Nikki Kelly, Charlotte E Cohen

JMIR Form Res 2025;9:e60075

Evaluation of a Simulation Program for Providing Telenursing Training to Nursing Students: Cohort Study

Evaluation of a Simulation Program for Providing Telenursing Training to Nursing Students: Cohort Study

According to Assaye et al [30], the most significant factors influencing perceptions of telenursing among health care providers include technology availability, web access, and lack of telemedicine training. Indeed, nurses with insufficient education and training in the use of technology face difficulties in implementing telenursing [31].

Ola Ali-Saleh, Layalleh Massalha, Ofra Halperin

JMIR Med Educ 2025;11:e67804

Kangaroo Stimulation Game in Tracheostomized Intensive Care–Related Dysphagia: Interventional Feasibility Study

Kangaroo Stimulation Game in Tracheostomized Intensive Care–Related Dysphagia: Interventional Feasibility Study

After the FEES, Rephagia training was started as soon as possible. All participating patients were asked after the first Rephagia training to fill out a questionnaire with questions concerning understanding, satisfaction, and motivation using a modified tool (Table S1 in Multimedia Appendix 1). Subsequently, daily training and exercise was performed using the Rephagia kangaroo game (Figure 1 A).

Marjolein Jansen, Ingrid D van Iperen, Anke Kroner, Raphael Hemler, Esther Dekker-Holverda, Peter E Spronk

JMIR Serious Games 2025;13:e60685

Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Time Efficiency

Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Time Efficiency

“With more training [training of the AI system] this could be very helpful in speeding up carrying out jobs. Bit unfortunate study was carried out in final weeks of rotation, when doctors are the most comfortable with systems and need to search things very rarely” [Participant 1]. “Can see it has the potential to increase speed of doing jobs, thus means we see patients quicker” [Participant 2]. “May expediate time available for patient care if brings up more precise answers.

Hamza Ejaz, Hon Lung Keith Tsui, Mehul Patel, Luis Rafael Ulloa Paredes, Ellen Knights, Shah Bakht Aftab, Christian Peter Subbe

JMIR Hum Factors 2025;12:e52358