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Factors Impacting Mobile Health Adoption for Depression Care and Support by Adolescent Mothers in Nigeria: Preliminary Focus Group Study

The research questions were as follows: What is the knowledge of m Health use for mental health care among young mothers and care providers in primary care? What are the potential barriers and facilitators of mobile app adoption in this population? What challenges could limit its use? What are the possible strategies to mitigate the challenges to m Health apps adoption by young mothers?

Lola Kola, Tobi Fatodu, Manasseh Kola, Bisola A Olayemi, Adeyinka O Adefolarin, Simpa Dania, Manasi Kumar, Dror Ben-Zeev

JMIR Form Res 2025;9:e42406

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Centering Youth Voice in the Adaptation of an mHealth Intervention for Young Adults With HIV in South Texas, United States: Human-Centered Design Approach

Other forms of m Health interventions previously used in promoting the health of young adults with HIV include remote coaching, short message services, phone calls, and social media outreach [14,15]. m Health intervention implementation faces the challenge of needing continuous updates based on input from stakeholders and app users [10].

Nhat Minh Ho, Catherine Johnson, Autumn Chidester, Ruby Viera Corral, Jacundo Ramos, Miguel Garcia, Rishi Gonuguntla, Cyrena Cote, Divya Chandramohan, Hueylie Lin, Anna Taranova, Ank E Nijhawan, Susan Kools, Karen Ingersoll, Rebecca Dillingham, Barbara S Taylor

JMIR Form Res 2025;9:e60531

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Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

mhealthmHealth for Rehabilitation

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025;13:e57413

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The Use of Mobile Apps in Adolescent Psychotherapy: Assessment of Psychotherapists’ Perspectives

mhealth

Sarah Wüllner, Katharin Hermenau, Tobias Hecker, Michael Siniatchkin

JMIR Form Res 2025;9:e65788

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Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool

mhealth

Olga A Biernetzky, Jochen René Thyrian, Melanie Boekholt, Matthias Berndt, Wolfgang Hoffmann, Stefan J Teipel, Ingo Kilimann

JMIR Aging 2025;8:e59942

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Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

The World Health Organization’s Global Observatory of Electronic Health (e Health) considers m Health a subcategory of e Health and defines it as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, Personal Digital Assistants (PDAs), and other wireless devices” [6].

Gauri Kumari Chauhan, Patrick Vavken, Christine Jacob

JMIR Mhealth Uhealth 2025;13:e65782

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Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

mhealthMobile Health (mhealth) mHealth for Data Collection and Research mHealth for Telemedicine and Homecare

Lito Kriara, Frank Dondelinger, Luca Capezzuto, Corrado Bernasconi, Florian Lipsmeier, Adriano Galati, Michael Lindemann

J Med Internet Res 2025;27:e63090

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Impact of a 6-Week Postpartum Text Messaging Program (Essential Coaching for Every Mother) at 6 Months: Follow-Up Study to a Randomized Controlled Trial

Reference 1: A systematic review of mHealth application interventions for peripartum mood disorders:mhealth

Justine Dol, Marsha Campbell-Yeo, Megan Aston, Douglas McMillan, Amy K Grant

JMIR Pediatr Parent 2025;8:e62841

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Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Reference 45: mHealth apps using behavior change techniques to self-report data: systematic reviewmhealthmHealth for Symptom and Disease Monitoring, Chronic Disease Management

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822

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Personalized mHealth Intervention (StepAdd) for Increasing Physical Activity in Japanese Patients With Type 2 Diabetes: Secondary Analysis of Social Cognitive Theory Measurements of a Single-Arm Pilot Study

We analyzed results from a 12-week pilot study of 33 Japanese patients with diabetes who participated in the Step Add mobile health (m Health) behavior change intervention to explain the mechanism behind the behavior change [3].

Kayo Waki, Syunpei Enomoto, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

JMIR Form Res 2025;9:e60221

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