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Toward a Smartphone-Based and Conversational Agent–Delivered Just-in-Time Adaptive Holistic Lifestyle Intervention for Older Adults Affected by Cognitive Decline: Two-Week Proof-of-Concept Study

Toward a Smartphone-Based and Conversational Agent–Delivered Just-in-Time Adaptive Holistic Lifestyle Intervention for Older Adults Affected by Cognitive Decline: Two-Week Proof-of-Concept Study

During the on-site preintervention visit, demographic data, general cognitive performance (assessed using the Mo CA Score), and technology readiness were evaluated. Questions on technological readiness included the duration, modality, and frequency of smartphone use (Multimedia Appendix 1). Participants then downloaded the study app, Mobile Coach, and received 2 weeks of JITAI promoting healthy lifestyle behaviors through their CA.

Esther Brill, Rasita Vinay, Marcia Nißen, Priyam Joshi, Stefan Klöppel, Tobias Kowatsch

JMIR Form Res 2025;9:e66885

Health Care Professionals’ Perspectives on Technology Use in Urinary Care: Cross-Sectional Survey-Based Study

Health Care Professionals’ Perspectives on Technology Use in Urinary Care: Cross-Sectional Survey-Based Study

This understanding will help facilitate the adoption of new technology, ultimately improving patient care and reducing the burden of urinary issues on health care systems. Health care professionals are the gatekeepers of technology implementation in clinical settings. Their acceptance is essential for technology to be successfully integrated into workflows, adopted by patients, and sustained over time.

Nicole Zhang, Ni Zhang, Yun Wang, Rachel Wong, Kaylin Ma

JMIR Form Res 2025;9:e73453

Building the Infrastructure for Sustainable Digital Mental Health: It Is “Prime Time” for Implementation Science

Building the Infrastructure for Sustainable Digital Mental Health: It Is “Prime Time” for Implementation Science

Across clinical practice, research, and the technology industry, interest in using digital mental health innovations has increased significantly [3-5]. These innovations hold promise in addressing long-standing and emerging challenges in mental health clinical care that persist around the world, such as limited access to care, health human resource challenges, care inequities, and a rising demand for timely and personalized interventions and treatments [6].

Gillian Strudwick, Iman Kassam, John Torous, Sean Patenaude

JMIR Ment Health 2025;12:e78791

Technology Acceptance Model in Medical Education: Systematic Review

Technology Acceptance Model in Medical Education: Systematic Review

With the increasing use of technology in medical education, it is essential to understand how it is accepted for use in learning. The Technology Acceptance Model (TAM) provides a framework to understand the factors influencing the decision to use new technologies in medical education [10-12]. The perceived ease of use is the extent to which a person believes the system will be free of effort.

Jason Wen Yau Lee, Jenelle Yingni Tan, Fernando Bello

JMIR Med Educ 2025;11:e67873

The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

As the United States was plunged into the COVID-19 era, technology and internet access became crucial; yet, confounding elements in how SDo H affect clinical intervention use. During this period, telehealth modalities saw increasing importance in bringing patients with cancer from varying levels of SES equivalent means of health care, including through diagnostic testing and prescribing symptomatic treatment [5,7,8].

David J Fei-Zhang, Amelia Sherron Lawrence, Daniel C Chelius, Anthony M Sheyn, Jeffrey C Rastatter

JMIR Cancer 2025;11:e52627

GamePlan4Care, a Web-Based Adaptation of the Resources for Enhancing Alzheimer’s Caregiver Health II Intervention for Family Caregivers of Persons Living With Dementia: Formative, Qualitative Usability Testing Study

GamePlan4Care, a Web-Based Adaptation of the Resources for Enhancing Alzheimer’s Caregiver Health II Intervention for Family Caregivers of Persons Living With Dementia: Formative, Qualitative Usability Testing Study

Web-based technology provides an alternative approach for moving evidence-based interventions into widely available caregiving education, skills training, and support programs. Web-based caregiver support programs have the potential to increase the availability of caregiver interventions that have previously been delivered through an in-person or telephone format [13,14].

Jinmyoung Cho, Thomas Birchfield, Jennifer L Thorud, Marcia G Ory, Alan B Stevens

JMIR Form Res 2025;9:e60143

Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review

Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review

Barriers to technology use appear to be cognitive deficits and, more specifically, reduced self-efficacy and heightened anxiety with regard to digital technology in older adults [13]. It should be noted that, despite these obstacles, older adults are not necessarily less interested than younger patients in using technology in their treatment and recovery [10,20].

Jennifer Anne Stanford, Sandra Anna Just

JMIR Ment Health 2025;12:e70321

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

In response to these challenges, researchers are actively exploring sustainable systems to safeguard personal information using blockchain technology [56]. Blockchain-based health care systems offer personal information protection and provide users the option to request the deletion of their data [57]. In the mental health field, preserving the security and confidentiality of users’ mental health data is considered paramount [58].

Siyeon Ko, Hyekyung Woo

JMIR Mhealth Uhealth 2025;13:e64622

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

We conducted a topic modeling analysis to understand the semantic and dynamic discussion related to BCI technology. The main topics discussed in our dataset included ideas related to BCI changing the future, Musk’s announcement of “Neuralink,” Facebook’s involvement in BCI technology, and the gamification of BCI technologies (Figure S10 in Multimedia Appendix 1).

Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

JMIR Form Res 2025;9:e60859