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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

Preventing high blood pressure using a smartphone app that can be accessed at any time appears to be a promising tool [9]. Lifestyle interventions for preventive behavior, such as improving medication adherence, restricting food intake, or promoting activity, can generally be encouraged with the help of m Health apps [10-17].

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

Users can also enhance their MMP app profile with personal information about their medications, health conditions, and demographics such as age, height, weight, and gender. The screen interface of each of the different features of the MMP app is shown in Figure 1. Screenshots of the mobile version of the Manage My Pain (MMP) app. Shown from left to right is the interface of the pain record, daily reflection, user profile, and clinic questionnaire.

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

JMIR Med Inform 2025;13:e67178

Interactive Effects of Weight Recording Frequency and the Volume of Chat Communication With Health Care Professionals on Weight Loss in mHealth Interventions for Noncommunicable Diseases: Retrospective Observational Study

Interactive Effects of Weight Recording Frequency and the Volume of Chat Communication With Health Care Professionals on Weight Loss in mHealth Interventions for Noncommunicable Diseases: Retrospective Observational Study

The success of these m Health interventions is due to user engagement, specifically, the frequency of users recording their data in the app. High engagement rates are crucial for effective self-monitoring and allow health care professionals to provide relevant feedback. Various opinions exist on what constitutes the most effective form of interactive support within these programs.

Yuta Hagiwara, Takuji Adachi, Masashi Kanai, Kotoe Shimizu, Shinpei Ishida, Takahiro Miki

Interact J Med Res 2025;14:e65863

Mobile App-Based Interactive Care Plan for Migraine: Survey Study of Usability and Improvement Opportunities

Mobile App-Based Interactive Care Plan for Migraine: Survey Study of Usability and Improvement Opportunities

Internet or smartphone app-based remote assessment and monitoring of migraine [9,10] may increase the efficiency of care delivery and facilitate telemedicine, electronic [11], and face-to-face visits while delivering migraine educational content.

Nathan P Young, Jennifer I Stern, Stephanie J Steel, Jon O Ebbert

JMIR Form Res 2025;9:e66763

Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study

Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study

Care4 Today is a digital health platform initially launched by Johnson & Johnson as a medication reminder app in 2013. Today, the platform has expanded to 3 components: a patient mobile app, a health care provider (HCP) portal, and an educational website. The app (Care4 Today Connect [18]) has been designed to encourage patients to take an active role in managing their overall health.

Stephanie Juan, Ante Harxhi, Simrati Kaul, Breeana Woods, Monica Tran, Gabrielle Geonnotti, Archit Gupta, Emily Dean, Cassandra E Saunders, Gloria Payne

JMIR Cardio 2025;9:e56053

The Measurement of Vital Signs in Pediatric Patients by Lifelight Software in Comparison to the Standard of Care: Protocol for the VISION-Junior Observational Study

The Measurement of Vital Signs in Pediatric Patients by Lifelight Software in Comparison to the Standard of Care: Protocol for the VISION-Junior Observational Study

The subsequent VISION-V (Validation) study demonstrated the accuracy of the app compared with SOC methods for measuring PR, RR, and diastolic BP [17], providing the basis for the current Class I Conformité Européenne (CE) mark [18]. The app also received ISO 13485:2016 certification in August 2023 [19], and the accuracy of the app for measuring PR and BP against ISO standards in adults with stage 1 hypertension has recently been reported [20].

Gauri Misra, Simon Wegerif, Louise Fairlie, Melissa Kapoor, James Fok, Gemma Salt, Jay Halbert, Ian Maconochie, Niall Mullen

JMIR Res Protoc 2025;14:e58334

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

Patients receive a removable orthosis or sling and are given information summarized in a mobile self-care app, the Virtual Fracture Care (VFC) app. Growing evidence shows that DD is a safe and effective alternative to “traditional” care with routine follow-up [4,5].

Jelle Spierings, Gijs Willinge, Marike Kokke, Sjoerd Repping, Wendela de Lange, Thijs Geerdink, Ruben van Veen, Detlef van der Velde, Carel Goslings, Bas Twigt, Collaboration Group

JMIR Hum Factors 2025;12:e53074

Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study

Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study

Established instruments like the Health Information Technology Usability Evaluation Scale (Health-ITUES) [15,16], System Usability Scale (SUS) [17,18], and m Health App Usability Questionnaire (MAUQ) [19,20] provided insights focusing on user experiences and satisfaction.

Nida Buawangpong, Penprapa Siviroj, Kanokporn Pinyopornpanish, Wachiranun Sirikul

JMIR Aging 2025;8:e60156