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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

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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

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Environmental Impact of Physical Visits and Telemedicine in Nursing Care at Home: Comparative Life Cycle Assessment

ehealth

Egid M van Bree, Lynn E Snijder, Hans C Ossebaard, Evelyn A Brakema

J Med Internet Res 2025;27:e67538

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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

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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

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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

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Accessibility of eHealth Before and During the COVID-19 Pandemic Among People With and People Without Impairment: Repeated Cross-Sectional Survey

Adoption of e Health accelerated during the COVID-19 pandemic [1]. Before the pandemic, we identified a disability digital divide in e Health, that is, people with impairment reported less use and more difficulty in the use of e Health, particularly with some types of impairment (language impairments and intellectual impairments) [2]. Sustainable development [3], legislation, and human rights principles [4] demand accessible e Health for all.

Linda Pettersson, Stefan Johansson, Ingrid Demmelmaier, Lena von Koch, Jan Gulliksen, Per-Olof Hedvall, Karl Gummesson, Catharina Gustavsson

JMIR Public Health Surveill 2025;11:e64707

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Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Multimedia Appendix 1 shows the CONSORT (Consolidated Standards of Reporting Trials) checklist and Multimedia Appendix 2 shows the CONSORT‐EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist (version 1.6.1) [28].

Meaghan E Kavanagh, Laura Chiavaroli, Selina M Quibrantar, Gabrielle Viscardi, Kimberly Ramboanga, Natalie Amlin, Melanie Paquette, Sandhya Sahye-Pudaruth, Darshna Patel, Shannan M Grant, Andrea J Glenn, Sabrina Ayoub-Charette, Andreea Zurbau, Robert G Josse, Vasanti S Malik, Cyril W C Kendall, David J A Jenkins, John L Sievenpiper