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Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

Therefore, the aim of the study is to explore the main barriers and facilitators that could be encountered in conducting a randomized clinical trial to study the effectiveness of the implementation of LLM models as tools to work on the clinical reasoning of physical therapy students. This study was approved by the local ethics committee of the La Salle University Center for Advanced Studies, Madrid, Spain (CSEULS-PI-002/2025). This trial was registered in clinicaltrials.org (NCT06809634).

Raúl Ferrer-Peña, Silvia Di-Bonaventura, Alberto Pérez-González, Alfredo Lerín-Calvo

JMIR Form Res 2025;9:e66126

Implementation Outcomes of Reusable Learning Objects in Health Care Education Across Three Malaysian Universities: Evaluation Using the RE-AIM Framework

Implementation Outcomes of Reusable Learning Objects in Health Care Education Across Three Malaysian Universities: Evaluation Using the RE-AIM Framework

To date, several models have been used to evaluate the effectiveness and implementation of e-learning resources. The Kirkpatrick model, an outcome-focused model, has been widely employed to evaluate the effectiveness of an educational program across 4 levels: reaction, learning, behavior, and results [9]; however, it does not evaluate the implementation outcomes.

Hooi Min Lim, Chin Hai Teo, Yew Kong Lee, Ping Yein Lee, Kuhan Krishnan, Zahiruddin Fitri Abu Hassan, Phelim Voon Chen Yong, Wei Hsum Yap, Renukha Sellappans, Enna Ayub, Nurhanim Hassan, Sazlina Shariff Ghazali, Nurul Amelina Nasharuddin, Puteri Shanaz Jahn Kassim, Faridah Idris, Klas Karlgren, Natalia Stathakarou, Petter Mordt, Stathis Konstantinidis, Michael Taylor, Cherry Poussa, Heather Wharrad, Chirk Jenn Ng

JMIR Med Educ 2025;11:e63882

Examining the Influence of Demographic and Socioeconomic Factors on Disparities in Health Care App Usage: Protocol for a Systematic Scoping Review

Examining the Influence of Demographic and Socioeconomic Factors on Disparities in Health Care App Usage: Protocol for a Systematic Scoping Review

The review seeks to inform stakeholders about the demographic and socioeconomic factors influencing app usage, providing insights to improve app accessibility and effectiveness. This review addresses the following research questions (RQs). RQ1: What are the key demographic and socioeconomic factors associated with health care app usage disparities? RQ2: How do these factors influence the adoption and utilization of health care apps?

Fahad Aljuaid, Emily Reed, Sara Imanpour, Daniel J Mallinson

JMIR Res Protoc 2025;14:e63596

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Thus, to showcase the clinical utility and effectiveness of assessing postoperative pain, the purpose of this study was to use the Pain Pad device to determine if tourniquet use during TKA has a detrimental effect on postoperative pain levels in the context of a modern multimodal pain pathway and early mobilization. This research was approved under Integrated Research Application System (229503) and the Open University Human Research Ethics Committee (17/LO/1404).

Prabjit Ajrawat, Blaine Price, Daniel Gooch, Rudolf Serban, Ruqaiya Al-Habsi, Oliver Pearce

JMIR Hum Factors 2025;12:e65271

Effectiveness of Gamified Teaching in Disaster Nursing Education for Health Care Workers: Systematic Review

Effectiveness of Gamified Teaching in Disaster Nursing Education for Health Care Workers: Systematic Review

It is important to emphasize that although the effectiveness of gamified teaching in nursing education has been preliminarily validated [18], its implementation in disaster nursing education for health care workers is still in the exploratory stage, and its effectiveness and best practice models have not yet been fully validated.

Shiyi Bai, HuiJuan Zeng, Qianmei Zhong, Lulu Cao, Mei He

J Med Internet Res 2025;27:e74955

Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study

Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study

In addition, researchers have evaluated the effectiveness of DHIs on target symptoms by comparing health status before and after the use of DHIs in natural settings. The evaluation of DHIs typically progresses from measuring efficacy with a small group of users in controlled environments (eg, randomized controlled trials) to assessing effectiveness with a large group of users in uncontrolled environments [1].

Gyuwon Jung, Heejeong Lim, Kyungsik Han, Hyungsook Kim, Uichin Lee

JMIR Hum Factors 2025;12:e64967

Evaluating the Effectiveness of Smart Glasses in Reducing Patient Care Time in Emergency Departments: Cohort Study From the Hangzhou Asian Games

Evaluating the Effectiveness of Smart Glasses in Reducing Patient Care Time in Emergency Departments: Cohort Study From the Hangzhou Asian Games

This study highlights the effectiveness of AR smart glasses in improving patient care efficiency and reducing ED wait times, particularly in resource-constrained settings and during mass gatherings like large-scale sports events. The research focused on 2 key time intervals: PPT and CRT. The key findings of this study reveal that AR smart glasses significantly reduced both PPT and CRT compared to conventional telecommunication methods.

Xinwei Jiang, Bangbo Xia, Mohammad Mostafa Ansari, Huiquan Jiang, Jianjiang Qi, Zhongheng Zhang, Sheng Dai, Pingping Zheng, Yang He, Ning Liu, Pengpeng Chen, Ronghua Luo, Xuchang Qin, Yansong Miao, Junru Dai, Xiaoyu Zhou, Changliang Wang, Hui Chen, Wenbin Xu, Tao Wu, Qiang Shi, Zhonghua Chen, Liping Zhou, Hao Zhang, Yun Xie, Quan Zhang, Bifa Zhou, Xiaohong Pan, Zixi Chen, Libo Zhen, Yaqing Sun, Zelin Lu, Yihao Loh, Shameera Sayer, Jennifer Mochtar, Pannika Wongpraewit, Yifan Wang, Yucai Hong

JMIR Form Res 2025;9:e65617

Virtual Diabetes Prevention Program Tailored to Increase Participation of Black and Latino Men: Protocol for a Randomized Controlled Trial

Virtual Diabetes Prevention Program Tailored to Increase Participation of Black and Latino Men: Protocol for a Randomized Controlled Trial

Thus, reduced rigor around the definition of prediabetes comes with the benefit of resulting in a research design that is more translational and able to address the broader question of the effectiveness of the intervention in a real-world clinical context. We sacrificed additional rigor related to the assessment of our primary weight loss outcomes. Home-based electronic scales are likely to be more vulnerable to errors in measurement and missing data than in-person weight collection.

Earle C Chambers, Elizabeth A Walker, Clyde Schechter, Eric Gil, Terysia Herbert, Katelyn Diaz, Jeffrey Gonzalez

JMIR Res Protoc 2025;14:e64405

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

To our knowledge, there has not been a meta-analysis to evaluate the effectiveness of m Health apps for improving older diabetic adults’ health outcomes. The identified meta-analyses evaluated m Health apps on a wider age spectrum and do not evaluate the effectiveness for older adults [10,24-29], but see the study by Robert et al [30] for e Health nutrition intervention.

Renato Ferreira Leitao Azevedo, Michael Varzino, Erika Steinman, Wendy A Rogers

J Med Internet Res 2025;27:e65855