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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

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

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

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

Evaluating a Digital Health Tool Designed to Improve Low Sexual Desire in Women: Mixed-Methods Implementation Science Study

Evaluating a Digital Health Tool Designed to Improve Low Sexual Desire in Women: Mixed-Methods Implementation Science Study

This finding is consistent with a systematic review of 221 e Health intervention studies focused on the barriers and facilitators of successful outcomes [60], which found that an increase in workload and workflow disruption posed significant barriers to implementing e Health tools [60].

Lori A Brotto, Kyle R Stephenson, Nisha Marshall, Mariia Balvan, Yaroslava Okara, Elizabeth A Mahar

J Med Internet Res 2025;27:e69828

Health Care Professionals’ Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study

Health Care Professionals’ Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study

Despite these obstacles, studies highlight that e Health improves care accessibility and patient autonomy [3,5,12]. Specific e Health applications directly benefit patients. For instance, an e Health app tested in home care settings allowed patients to report health concerns and increased their sense of security [10] by reducing the frequency of phone calls to nurses, enabling them to prioritize care based on the app’s alerts.

Eric Vincent Rivas, Ulf Lesley, Nadia Davoody

JMIR Hum Factors 2025;12:e60582