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Effect of Lifestyle Modification Through Web-Based Telerehabilitation Monitoring Combined With Supervised Sensorimotor Training After Total Knee Arthroplasty: Randomized Controlled Trial

Effect of Lifestyle Modification Through Web-Based Telerehabilitation Monitoring Combined With Supervised Sensorimotor Training After Total Knee Arthroplasty: Randomized Controlled Trial

Telerehabilitation monitoring can include weight management programs that track patients’ weight, provide nutritional guidance, and offer support in setting realistic weight loss goals [10]. Lifestyle modifications through telerehabilitation can address behavior change techniques to help patients adopt and maintain healthy habits. This may include setting goals, self-monitoring techniques, problem-solving strategies, and relapse prevention [11].

Samreen Sadiq, Rabiya Noor, Rizwan Akram

JMIR Mhealth Uhealth 2025;13:e64643

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Toward Digital Self-Monitoring of Mental Health in the General Population: Scoping Review of Existing Approaches to Self-Report Measurement

Toward Digital Self-Monitoring of Mental Health in the General Population: Scoping Review of Existing Approaches to Self-Report Measurement

First, we briefly review evidence that digital technologies render self-monitoring more feasible than ever before, and introduce contemporary approaches to test construction. We then introduce the dual continua model of mental health that was used to guide the systematic search strategy and results synthesis of this study.

Zhao Hui Koh, Duygu Serbetci, Jason Skues, Greg Murray

JMIR Ment Health 2025;12:e59351

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Stakeholder Perspectives on mHealth Technologies to Prevent Sitting-Acquired Pressure Injuries in Long-Term Care Facilities: Mixed Methods Study

Stakeholder Perspectives on mHealth Technologies to Prevent Sitting-Acquired Pressure Injuries in Long-Term Care Facilities: Mixed Methods Study

Little is known about the use of monitoring or feedback technologies to facilitate caregiver efforts to reposition seated residents in residential care centers. Technologies to facilitate caregiving in the AD and ADRD population tend to focus more on case management, caregiver support, care pathways, or monitoring and tracking of the person with AD or ADRD for safety related to falls or wandering, and do not specifically address pressure injury risk [11,12].

Tamara Vos-Draper, Erin Vinoski Thomas, Emily Graybill, Melissa Morrow, Kathleen A Jordan, Pamela R Manley, Sharon E Sonenblum

JMIR Form Res 2025;9:e59590

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English- and Spanish-Speaking Patient Preferences on Home Blood Pressure Monitors in an Urban Safety Net Setting: Qualitative Study

English- and Spanish-Speaking Patient Preferences on Home Blood Pressure Monitors in an Urban Safety Net Setting: Qualitative Study

Self-measured blood pressure monitoring (SMBP) is an evidence-based guideline-recommended strategy for improving hypertension management [4-6], in which patients regularly check their own blood pressure (BP) at home and share these results with their clinical care team to improve hypertension control. This approach has shown promising results in populations with worse hypertension outcomes, such as individuals with low income or from racial and ethnic minority backgrounds [7-11].

Jonathan J Shih, Vivian E Kwok, Isabel Luna, Hyunjin Cindy Kim, Faviola Garcia, Christian Gutierrez, Mahal Garcia, Courtney R Lyles, Elaine C Khoong

JMIR Cardio 2025;9:e60196

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Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: Derivation Study

Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: Derivation Study

Heart rate variability (HRV) is considered a valid measurement for monitoring the autonomic nervous system [22,23], but is not routinely collected in all ICUs. International guidelines advocate for sedatives and analgesics to ensure patient comfort during painful events [24]. However, when used to induce coma for mechanical ventilation, sedative and analgesic medications such as benzodiazepines and opioids place patients at high risk for delirium [25,26].

Raphaëlle Giguère, Victor Niaussat, Monia Noël-Hunter, William Witteman, Tanya S Paul, Alexandre Marois, Philippe Després, Simon Duchesne, Patrick M Archambault

JMIR AI 2025;4:e60885

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Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review

Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review

This raises the question of whether these patient-generated bio- and self-monitoring data can be used for the benefit of patients and systematically integrated into the care processes [22-25]. It has been almost 2 decades since the notion of digital interventions emerged, and efforts have been made to monitor the states of depression and predict them using sensor data.

Rebeka Amin, Simon Schreynemackers, Hannah Oppenheimer, Milica Petrovic, Ulrich Hegerl, Hanna Reich

J Med Internet Res 2025;27:e57418

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Effects of an Exercise Intervention Based on mHealth Technology on the Physical Health of Male University Students With Overweight and Obesity: Randomized Controlled Trial

Effects of an Exercise Intervention Based on mHealth Technology on the Physical Health of Male University Students With Overweight and Obesity: Randomized Controlled Trial

Wearable devices are currently widely used in remote medical monitoring [13], to help doctors understand individual disease trajectories; in the field of exercise intervention mainly to provide real-time physical activity feedback, with the help of wearable devices,, health intervention and timely adjustment of the intervention program can be obtained promptly, to cultivate self-monitoring of physical activity habits of the research participants, to provide a basis for the objective quantitative evaluation of

Qinlong Zhang, Zhen Li, Lei Jiang, Yanan Gao, Tingjun Gong, Jian Li, Zhixiong Zhou

J Med Internet Res 2025;27:e69451

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