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eHealth Literacy Assessment Instruments: Scoping Review

eHealth Literacy Assessment Instruments: Scoping Review

On the other hand, the diversity and varying quality of e Health resources pose challenges for people with limited health literacy. They struggle to distinguish legitimate health services from fraudulent ones and identify credible information, resulting in low public acceptance and inefficient use of e Health solutions. As a necessary skill in the field of e Health, e Health literacy is the foundation to maximize e Health effectiveness [2].

Chen Wang, Luoyuan Chang, Xindou Chen, Jingqi Kong, Huiying Qi

J Med Internet Res 2025;27:e66965

Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach

Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach

RPM is an intervention type that makes use of e Health methods to deliver care. e Health comprises a variety of methods to deliver care and promote health using applications, websites, digital health records [8], and smartphone-enabled health monitoring devices (SHMDs). Various studies show that e Health is as, or more, effective than standard care [9-11]. Close monitoring through RPM can help to reduce hospital admissions, disease progression, risk factors, and allow for early intervention [12,13].

Sara M Hondmann, Laura Schrauwen, Thomas Reijnders, Esmee Stoop, Andrea WM Evers, Valentijn T Visch, Douwe E Atsma, Veronica R Janssen

JMIR Cardio 2025;9:e56236

Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

To overcome current barriers related to phase-3 CR programs, the TIMELY trial aims to evaluate the cost-effectiveness of a personalized e Health platform and health behavior change app for patients with CAD. This platform and app will provide support for health behavior change (eg, artificial intelligence [AI]–supported personalized exercise prescription [EP]) and facilitate disease-related self-management based on current clinical guidelines and in accordance with patients’ individual needs.

Mirela Habibovic, Emma Douma, Hendrik Schäfer, Manuela Sestayo-Fernandez, Tom Roovers, Xin Sun, Henrik Schmidt, Mona Kotewitsch, Jos Widdershoven, David Cantarero-Prieto, Frank Mooren, Carlos Pena-Gil, José Rámon González Juanatey, Martin Schmidt, Hagen Malberg, Vassilis Tsakanikas, Dimitrios Fotiadis, Dimitris Gatsios, Jos Bosch, Willem Johan Kop, Boris Schmitz

JMIR Res Protoc 2025;14:e66283

Health-Related Internet Use Among Outpatients Undergoing Cancer Treatment During the COVID-19 Pandemic: Cross-Sectional Survey Study

Health-Related Internet Use Among Outpatients Undergoing Cancer Treatment During the COVID-19 Pandemic: Cross-Sectional Survey Study

Despite this widespread use for informational purposes, only a small fraction of patients actively engage with more advanced e Health apps beyond basic web-based searches [7,18-21]. Nevertheless, emerging evidence indicates that the use of e Health apps has the potential to improve medical care and increase quality of life among patients with cancer. Some studies even demonstrate a link between e Health app use and an improvement in overall and progression-free survival [22,23].

Nicole Erickson, Daniel Nasseh, Sarah Seynstahl, Nicole Jost, Rachel Wuerstlein, Jozefina Casuscelli, Sebastian Theurich, Volker Heinemann, Theres Fey

JMIR Hum Factors 2025;12:e72614

An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study

An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study

Monitoring technologies based on sensors, wearables, e Health (e Psyc Heart and e Healt Heart), and a mobile app are used to collect patient-reported data; engage patients in their ongoing health and behavior; and make an impact on the communications between patients and clinicians in a closer, more trusting environment. The mobile app is structured in 2 different main sections: the e Psyc Heart app and the e Healt Heart app.

Gaia Giulia Angela Sacco, Ketti Mazzocco, Anastasia Constantinidou, Andri Papakonstantinou, Davide Mauri, Grigorios Kalliatakis, Manolis Tsiknakis, Domen Ribnikar, Dorothea Tsekoura, Valantis Aidarinis, Kalliopi Keramida, Panagiotis Oikonomopoulos, Athos Antoniades, Cameron Brown, Federica Rizzi, Anca Bucur, Elsa Pacella, Georgia Karanasiou, Daniela Cardinale, Carlo Cipolla, Elisabetta Munzone, Dimitrios Fotiadis, Giuseppe Curigliano, Gabriella Pravettoni

JMIR Res Protoc 2025;14:e63455

Promoting Dairy Consumption Among Families: Development and User Experience Study of a Web-Based Nutrition Intervention

Promoting Dairy Consumption Among Families: Development and User Experience Study of a Web-Based Nutrition Intervention

While long-term studies on web-based nutrition platforms are limited, research on other e Health interventions has shown a decrease in user interest after 3 to 6 months of use [47]. To encourage longer-term engagement, future iterations of the platform could include weekly new interactive quizzes, complemented by email notifications to prompt ongoing participation, as outlined in a recent scoping review [48].

Juliette Lemay, Jacynthe Roberge, Véronique Provencher, Angelo Tremblay, Shirin Panahi, Raphaëlle Jacob, Lucie Brunelle, Gabrielle Saintonge, Vicky Drapeau

JMIR Form Res 2025;9:e66582

Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Mobile- and e Health-based interventions could improve the accessibility of interventions, as they have potential to overcome many of these treatment barriers (eg, overcoming the stigma of receiving substance use treatment by using the e Health intervention from the privacy of one’s home). Mobile and e Health interventions may also open new opportunities for personalization through increased availability of data about participants.

Mehrab Beikzadeh, Ian W Holloway, Kimmo Kärkkäinen, Chenglin Hong, Cory Cascalheira, Elizabeth S C Wu, Callisto Boka, Alexandra C Avendaño, Elizabeth A Yonko, Majid Sarrafzadeh

Online J Public Health Inform 2025;17:e68013