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Co-Designing a Web-Based and Tablet App to Evaluate Clinical Outcomes of Early Psychosis Service Users in a Learning Health Care Network: User-Centered Design Workshop and Pilot Study

Co-Designing a Web-Based and Tablet App to Evaluate Clinical Outcomes of Early Psychosis Service Users in a Learning Health Care Network: User-Centered Design Workshop and Pilot Study

We chose an e Health approach to implementing MBC due to its appropriateness for the EPI setting and its potential benefits. Despite the perceived challenges related to experiences of suspicion or paranoia, individuals experiencing mental health difficulties, such as schizophrenia and bipolar disorder, have widely found use of e Health both feasible and acceptable [7-10]. Furthermore, the use of e Health can support the advancement of MBC.

Kathleen E Burch, Valerie L Tryon, Katherine M Pierce, Laura M Tully, Sabrina Ereshefsky, Mark Savill, Leigh Smith, Adam B Wilcox, Christopher Komei Hakusui, Viviana E Padilla, Amanda P McNamara, Merissa Kado-Walton, Andrew J Padovani, Chelyah Miller, Madison J Miles, Nitasha Sharma, Khanh Linh H Nguyen, Yi Zhang, Tara A Niendam

JMIR Hum Factors 2025;12:e65889

Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Data pooling of 7 trials revealed significant reduction in depression symptoms for participants receiving psychological e Health intervention compared with control groups receiving usual care or active control (online education [37] and web-based discussion forums [41]; standardized mean difference [SMD]=–0.30, 95% CI –0.47 to –0.14; I2=57%; P Forest plot showing the efficacy of e Health psychological interventions for depression.

Jing Jing Su, Rose Lin, Ladislav Batalik, Arkers Kwan Ching Wong, Sherry L Grace

J Med Internet Res 2025;27:e57368

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Reference 8: eHealth interventions for the prevention of depression and anxiety in the general population Reference 13: Effects of eHealth interventions on stress reduction and mental health promotion in healthcareehealthHealth Professionals' Training in eHealth, Digital Medicine, Medical Informatics

Zheyuan Zhang, Sijin Sun, Laura Moradbakhti, Andrew Hall, Celine Mougenot, Juan Chen, Rafael A Calvo

JMIR Ment Health 2025;12:e67190

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

The World Health Organization’s Global Observatory of Electronic Health (e Health) considers m Health a subcategory of e Health and defines it as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, Personal Digital Assistants (PDAs), and other wireless devices” [6].

Gauri Kumari Chauhan, Patrick Vavken, Christine Jacob

JMIR Mhealth Uhealth 2025;13:e65782

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

This paper reports on the protocol of a large clinical trial comparing the effectiveness of an e Health intervention delivered on a smart display versus a laptop. The intervention, Elder Tree, is a web-based system that aims to improve the health and quality of life of older adults by offering interactive, informational, and motivational content and services such as health tracking, reminders, and social support.

David H Gustafson Sr, Marie-Louise Mares, Darcie C Johnston, John J Curtin, Klaren Pe-Romashko, Gina Landucci

JMIR Res Protoc 2025;14:e64449

Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

The intervention was provided on the e Health platform e Sano. The nonadapted version [24] is an unguided digital intervention consisting of 3 content-separated, consecutive modules based on the intervention GET.ON Recovery [33,34], which was developed and evaluated for German employees with sleep problems.

Maja Blomenkamp, Andrea Kiesel, Harald Baumeister, Dirk Lehr, Josef Unterrainer, Lasse B Sander, Kerstin Spanhel

JMIR Form Res 2025;9:e65412

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

The final questionnaire (Multimedia Appendix 1) covered sociodemographic information, diagnosed chronic health status, familiarity and usage of Chat GPT, the full e Health Literacy Scale (e HEALS) [25], Trust in the Health Care Team (T-HCT) Scale [26], the 4-item Artificial Intelligence Attitude Scale (AIAS-4) [27], and items related to online health information–seeking behavior over the past year.

Hye Sun Yun, Timothy Bickmore

J Med Internet Res 2025;27:e68560