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Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners

Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners

When physicians are better informed about the positive clinical outcomes that can be achieved through m Health apps, as well as aspects related to practical application, such as data integrity and privacy, their perceived usefulness and ease of use increase. This increased knowledge reduces uncertainty and skepticism, which ultimately leads to greater acceptance and integration of technology into everyday medical practice.

Susann May, Frances Seifert, Dunja Bruch, Martin Heinze, Sebastian Spethmann, Felix Muehlensiepen

JMIR Mhealth Uhealth 2025;13:e56666

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

Reference 18: Engagement with Manage My Pain mobile health application among patients at the Transitional Reference 42: A decision-theoretic generalization of on-line learning and an application to boostingapplication

James Skoric, Anna M Lomanowska, Tahir Janmohamed, Heather Lumsden-Ruegg, Joel Katz, Hance Clarke, Quazi Abidur Rahman

JMIR Med Inform 2025;13:e67178

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

The development and application of EACH were segmented into several steps, as illustrated in Figure 1. We tried to follow the guideline for developing reporting machine learning prediction models in biomedical research [22]. Visual guide to the sequential steps and their detailed execution. SHAP: SHapley Additive ex Planations.

Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res 2025;27:e58021

Building a Decentralized Biobanking App for Research Transparency and Patient Engagement: Participatory Design Study

Building a Decentralized Biobanking App for Research Transparency and Patient Engagement: Participatory Design Study

During the second design workshop, members of the research team invited individuals at random to participate in a cognitive walkthrough to evaluate the usability of the application. Of the 25 workshop participants, 6 (24%) completed the walkthrough exercise. Participants were asked to perform several in-app tasks and seek specific information presented in the app while narrating out loud what they were doing.

Ananya Dewan, M Eifler, Amelia Hood, William Sanchez, Marielle Gross

JMIR Hum Factors 2025;12:e59485

Capturing Everyday Parental Feeding Practices and Eating Behaviors of 3- to 5-Year-Old Children With Avid Eating Behavior: Ecological Momentary Assessment Feasibility and Acceptability Study

Capturing Everyday Parental Feeding Practices and Eating Behaviors of 3- to 5-Year-Old Children With Avid Eating Behavior: Ecological Momentary Assessment Feasibility and Acceptability Study

The study also aimed to determine the usefulness of using a commercially licensed software application on Android and i OS devices as a tool for EMA. This EMA study was part of a larger program of research, the APPETIt E project, which examines feeding and eating in preschool children with avid eating behavior to inform future intervention design and efficacy. An avid eating behavior profile in preschool children was identified and defined in an earlier APPETIt E study using latent profile analysis (LPA) [1].

Abigail Pickard, Katie Edwards, Claire Farrow, Emma Haycraft, Jacqueline Blissett

JMIR Form Res 2025;9:e66807

Depression Self-Care Apps’ Characteristics and Applicability to Older Adults: Systematic Assessment

Depression Self-Care Apps’ Characteristics and Applicability to Older Adults: Systematic Assessment

The sources included established clinical practice guidelines [57-60], systematic and scoping reviews [61-64], academic books [65-69], a systematic assessment of mental health apps [70], and guidelines and checklists of technical features [71-73], including the Mobile Application Rating Scale (MARS), the mobile Health On the Net Code (m HONcode), and the World Wide Web Consortium (W3 C) guidelines for accessibility of content on mobile phones.

Ruoyu Yin, Dakshayani Rajappan, Laura Martinengo, Frederick H F Chan, Helen Smith, Konstadina Griva, Mythily Subramaniam, Lorainne Tudor Car

J Med Internet Res 2025;27:e56418

Continuous Improvement of Chronic Tinnitus Through a 9-Month Smartphone-Based Cognitive Behavioral Therapy: Randomized Controlled Trial

Continuous Improvement of Chronic Tinnitus Through a 9-Month Smartphone-Based Cognitive Behavioral Therapy: Randomized Controlled Trial

Despite short-term benefits from the intravenous application of lidocaine in some patients, no superiority compared to placebo was observed for commonly prescribed drugs such as betahistine or dexamethasone [8,11]. A study comparing the efficacy of ginkgo extracts and pentoxifylline to reduce tinnitus burden reported comparable decrease in the tinnitus burden for both products.

Uso Walter, Stefan Pennig, Lothar Bleckmann, Kristina Röschmann-Doose, Thomas Wittig, Jörn Thomsen, Winfried Schlee

J Med Internet Res 2025;27:e59575

Think-Aloud Testing of a Companion App for Colonoscopy Examinations: Usability Study

Think-Aloud Testing of a Companion App for Colonoscopy Examinations: Usability Study

While their feedback concerning the comprehensibility of the content, the user-friendliness, and the general user benefits of the application was mostly positive, they also expressed some confusion about certain content or features. Additionally, they offered suggestions for improvements in areas such as design and visualization as well as user guidance to address the gaps or issues they identified in the prototype.

Christine Jacob, Roman Müller, Sonja Schüler, Alix Rey, Guillaume Rey, Berj Armenian, Alain Vonlaufen, Michael Drepper, Marius Zimmerli

JMIR Hum Factors 2025;12:e67043