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Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting” (REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial

Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting” (REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial

The app was validated by 3 experts: an obstetrician and gynecologist, a health application expert, and a community midwifery expert. The app was piloted in a small group of pregnant woman communities who were not involved in the intervention study. Evaluation included the format, substance, presentation, and language. The results of the trial were measured by the distribution of simple questionnaires, interviews, and observations. After revision for refinement, the app was ready to use in research.

Restu Pangestuti, Prima Dhewi Ratrikaningtyas, Adi Heru Sutomo

JMIR Res Protoc 2025;14:e66774

Usefulness of Interventions Using a Smartphone Cognitive Behavior Therapy Application for Children With Mental Health Disorders: Prospective, Single-Arm, Uncontrolled Clinical Trial

Usefulness of Interventions Using a Smartphone Cognitive Behavior Therapy Application for Children With Mental Health Disorders: Prospective, Single-Arm, Uncontrolled Clinical Trial

We previously developed a smartphone-based self-monitoring application to deliver CBT (CBT app), implemented it in 217 healthy children, and reported its effectiveness for health promotion [28]. The CBT app was highly effective in terms of providing users with self-monitoring skills and reducing depressive symptoms.

Shinichiro Nagamitsu, Ayumi Okada, Ryoichi Sakuta, Ryuta Ishii, Kenshi Koyanagi, Chizu Habukawa, Takashi Katayama, Masaya Ito, Ayako Kanie, Ryoko Otani, Takeshi Inoue, Tasuku Kitajima, Naoki Matsubara, Chie Tanaka, Chikako Fujii, Yoshie Shigeyasu, Michiko Matsuoka, Tatsuyuki Kakuma, Masaru Horikoshi

JMIR Form Res 2025;9:e60943

Cardiac Implantable Electronic Device Educational Application for Cardiac Anesthesiology Trainees: Tutorial on App Development

Cardiac Implantable Electronic Device Educational Application for Cardiac Anesthesiology Trainees: Tutorial on App Development

Evaluation and application of lessons learned. Several intersecting challenges motivated the development of a curriculum for CIED management. As indicated earlier, technological advances and increased life expectancy have resulted in a steady increase in the number of CIEDs implanted annually [2]. Similarly, there has been an increase in the number of patients with CIEDs undergoing surgical procedures.

Ahmed Zaky, Aisha Waheed, Brittany Hatter, Srilakshmi Malempati, Sai Hemanth Maremalla, Ragib Hasan, Yuliang Zheng, Scott Snyder

JMIR Med Educ 2025;11:e60087

Comparing a Guideline-Based Mobile Health Intervention Versus Usual Care for High-Risk Adolescents With Asthma: Protocol of a Randomized Controlled Trial

Comparing a Guideline-Based Mobile Health Intervention Versus Usual Care for High-Risk Adolescents With Asthma: Protocol of a Randomized Controlled Trial

The application will allow e UC participants to keep a diary of how many servings of fruits and vegetables they consume each day (24-hour recall). Via the Nutrimap app, e UC participants can access the US Department of Agriculture’s (USDA) My Plate guide [36] to find healthy eating tips, learn how to measure serving sizes, and read about other general nutrition information. The e UC participants will not receive any education or reminders related to asthma from the Nutrimap app.

Tamara T Perry, Jessica H Turner, Ariel Berlinski, Larry A Simmons, Rita H Brown, Kaymon Neal, Sarah A Marshall, Xing He, Simon Chung, Andrew Brown, Horace J Spencer 3rd, Jiang Bian

JMIR Res Protoc 2025;14:e69903

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

The final DIAMANTE intervention tracked participant step counts from pedometers on smartphones, via an application designed in English and Spanish for both Apple App Store and Android Google Play [19]. Further details about the DIAMANTE application design process have been published elsewhere, including details about the reinforcement learning algorithm and the main RCT findings [18].

Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

JMIR Mhealth Uhealth 2025;13:e64296

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

Although 2 participants found the web application “too wordy” (P142, W1), the accessibility of the language used in the web application was highlighted as a strength of the web application by most participants who responded to this question (n=12).

Leda Sivak, Rachel Reilly, Shani Crumpen, Carla Treloar, Rebecca McKetin, Julia Butt, Yvette Roe, Nadine Ezard, Brendan Quinn, Jack Nagle, Wade Longbottom, Clifford Warrior, James Ward

JMIR Form Res 2025;9:e58369

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis

An interactive map is available from Leiden University’s VOSviewer Online application. Keywords in cluster 3 (dark blue) were especially focused on 3 technological aspects of e Health, namely, e Health technology infrastructure, data security and privacy, and health analytics. Keywords relevant to the e Health technology infrastructure were, for example, internet, online, internet of things, cloud computing, blockchain, information-systems, interoperability, smartphone, cloud, etc.

Lana V Ivanitskaya, Dimitrios Zikos, Elina Erzikova

J Med Internet Res 2025;27:e60071

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Once a digital health application is implemented, key performance metrics should be tracked across several domains. Technical performance measures (eg, system availability and data completeness rates) help ensure reliable operation, while clinical impact metrics (eg, diagnostic accuracy and workflow completion times) assess health care delivery improvements.

Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

J Med Internet Res 2025;27:e56747

A 12-Month Digital Peer-Supported App Intervention to Promote Physical Activity Among Community-Dwelling Older Adults: Follow-Up Study of a Nonrandomized Controlled Trial

A 12-Month Digital Peer-Supported App Intervention to Promote Physical Activity Among Community-Dwelling Older Adults: Follow-Up Study of a Nonrandomized Controlled Trial

understand continued intention to use mobile applications: a four-country study of mobile social media application Reference 83: Influencing factors of acceptance and use behavior of mobile health application users:application

Kento Tabira, Yuko Oguma, Shota Yoshihara, Megumi Shibuya, Manabu Nakamura, Natsue Doihara, Akihiro Hirata, Tomoki Manabe, Takashi Yamashita

JMIR Aging 2025;8:e66610