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Adaptation of the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study

Adaptation of the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study

The number of people living with sensory (hearing and vision), cognitive, and mobility disabilities is increasing in Canada. In 2019, approximately 5% of people aged 15 years and older had a hearing disability, and in 2020, a total of 567,000 people were living with a cognitive disability [1]. About a quarter (24.1%) of the population living with disabilities are aged 65 years and older [2].

Atiya Mahmood, Farinaz Rikhtehgaran, Rojan Nasiri, Niloofar Hedayati, Sepehr Pandsheno, Aislynn Sharrock, Diana Juanita Mora, Sogol Haji Hosseini, François Routhier, W.Ben Mortenson

JMIR Res Protoc 2025;14:e60553

Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

In the last 15 years, mobile health (m Health) technologies have been leveraged to address this issue and support improved physical and mental well-being (eg, weight loss, diabetes management, depression symptom management, substance misuse recovery) nationally [2-5]. m Health apps are often heralded as a critical tool in supporting the mental and physical health of un- and underinsured individuals and groups, such as racial, ethnic, gender, and sexual minorities who have been historically marginalized by the

Lindsey M Filiatreau, Hannah Szlyk, Alex T Ramsey, Erin Kasson, Xiao Li, Zhuoran Zhang, Patricia Cavazos-Rehg

JMIR Mhealth Uhealth 2025;13:e54753

A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

A common approach adopted by US colleges and universities to address hazardous drinking among students involves programs that focus on changing attitudes, increasing knowledge, and modifying behaviors related to alcohol use.

Philip I Chow, Jessica Smith, Ravjot Saini, Christina Frederick, Connie Clark, Maxwell Ritterband, Jennifer P Halbert, Kathryn Cheney, Katharine E Daniel, Karen S Ingersoll

JMIR Hum Factors 2025;12:e69873

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

This protocol outlines the coordinated approach of cross-sectoral organizations, including the Public Health Agency of Canada (PHAC), the Canadian Food Inspection Agency (CFIA), Health Canada, and provincial or territorial organizations. When an enteric illness outbreak occurs in 2 or more provinces or territories or between Canada and another country (multijurisdictional), PHAC manages the outbreak response to ensure rapid and coordinated action across multiple jurisdictions [24].

Hisba Shereefdeen, Lauren Elizabeth Grant, Vayshali Patel, Melissa MacKay, Andrew Papadopoulos, Leslie Cheng, Melissa Phypers, Jennifer Elizabeth McWhirter

JMIR Public Health Surveill 2025;11:e68724

Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

The integration of AI into various medical disciplines such as oncology, radiology, and pathology has demonstrated its advancing clinical uses and its potential to revolutionize health care delivery [1-3]. As new LLMs continue to emerge and evolve, AI is poised to fundamentally reshape our understanding and approach to medicine, offering unprecedented opportunities for improved patient care, diagnostics, and medical education [4].

Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

JMIR Med Educ 2025;11:e67244

Patient-Related Barriers to Digital Technology Adoption in Alzheimer Disease: Systematic Review

Patient-Related Barriers to Digital Technology Adoption in Alzheimer Disease: Systematic Review

The main research question is whether digital competence and the attitudes of patients and caregivers may affect the adoption of digital technology. The final goal is to explore real-world needs, facilitators, and barriers in the field and to provide patient-oriented guidance for using and implementing novel digital technology tools in memory clinics.

Andrea Panzavolta, Andrea Arighi, Emanuele Guido, Luigi Lavorgna, Francesco Di Lorenzo, Alessandra Dodich, Chiara Cerami

JMIR Aging 2025;8:e64324

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Gait monitoring, particularly gait speed, has been identified as a valid indicator of sarcopenia and is associated with health outcomes such as disability and mortality in older adults [11,12]. Although various gait parameters such as step length, stride length and width, and single support time during walking can be detected, their use in research has been limited owing to challenges in real-time measurement and result standardization [13].

Jinyoung Shin, Hyuk Jung Kweon, Jaekyung Choi

JMIR Form Res 2025;9:e63928

Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis

Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis

Ecological momentary assessment (EMA), also known as experience sampling or in situ (situated) self-reporting, is a powerful method for capturing real-time insights into an individual’s health and well-being. Leveraging the convenience and ubiquity of mobile devices, EMA has been particularly effective in longitudinally monitoring conditions such as depression and mental well-being [1,2], mobility [3], physical activity [4], and fatigue [5].

Diane Cook, Aiden Walker, Bryan Minor, Catherine Luna, Sarah Tomaszewski Farias, Lisa Wiese, Raven Weaver, Maureen Schmitter-Edgecombe

JMIR Mhealth Uhealth 2025;13:e57018

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

First, 2 authors (LH and CG) familiarized themselves with the research objectives and activities of each work package in the 4 D PICTURE project. They identified ethical themes that may be relevant for the activities and research of each work package and looked for key publications in the (empirical and theoretical ethics) literature on that particular topic.

Marieke Bak, Laura Hartman, Charlotte Graafland, Ida J Korfage, Alena Buyx, Maartje Schermer, 4D PICTURE Consortium

JMIR Cancer 2025;11:e65566

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Sunitinib- and sorafenib-associated thyroid dysfunction are time-varying and underreported adverse drug reactions (ADR). Despite the efficacy of multitargeted tyrosine kinase inhibitors TKI as first- or second-line therapies for solid and hematologic cancers, thyroid dysfunction—especially hypothyroidism—may complicate treatment regimens using sunitinib and sorafenib.

Fan-Ying Chan, Yi-En Ku, Wen-Nung Lie, Hsiang-Yin Chen

JMIR Form Res 2025;9:e67767