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Development of an eHealth Mindfulness-Based Music Therapy Intervention for Adults Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: Qualitative Study

Development of an eHealth Mindfulness-Based Music Therapy Intervention for Adults Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: Qualitative Study

Therefore, we designed an e Health-delivered mindfulness-based music therapy (e MBMT) aimed at reducing symptom burden and improving HRQo L in patients undergoing allo-SCT. We selected an e Health intervention based on its proven advantages, including patient accessibility and convenience, improved communication, and reduced burden on health care systems. Overall e Health interventions offer a valuable approach to complement traditional cancer care [56].

Sara E Fleszar-Pavlovic, Blanca Noriega Esquives, Padideh Lovan, Arianna E Brito, Ann Marie Sia, Mary Adelyn Kauffman, Maria Lopes, Patricia I Moreno, Tulay Koru-Sengul, Rui Gong, Trent Wang, Eric D Wieder, Maria Rueda-Lara, Michael Antoni, Krishna Komanduri, Teresa Lesiuk, Frank J Penedo

JMIR Form Res 2025;9:e65188

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Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study

Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study

The use of e Health systems, telemedicine, and connected objects represent a promising approach for keeping older adults at home and preventing the loss of autonomy. Patient-reported outcome measures benefit people with chronic diseases by improving their quality of life, reducing mortality, and reducing ED visits and hospitalizations [7,12]. We have implemented a machine learning–based e Health device to predict and prevent ED visits and unscheduled hospitalizations for older people living at home [13,14].

Charlotte Havreng-Théry, Arnaud Fouchard, Fabrice Denis, Jacques-Henri Veyron, Joël Belmin

JMIR Form Res 2025;9:e63700

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Co-Designing a Web-Based and Tablet App to Evaluate Clinical Outcomes of Early Psychosis Service Users in a Learning Health Care Network: User-Centered Design Workshop and Pilot Study

Co-Designing a Web-Based and Tablet App to Evaluate Clinical Outcomes of Early Psychosis Service Users in a Learning Health Care Network: User-Centered Design Workshop and Pilot Study

We chose an e Health approach to implementing MBC due to its appropriateness for the EPI setting and its potential benefits. Despite the perceived challenges related to experiences of suspicion or paranoia, individuals experiencing mental health difficulties, such as schizophrenia and bipolar disorder, have widely found use of e Health both feasible and acceptable [7-10]. Furthermore, the use of e Health can support the advancement of MBC.

Kathleen E Burch, Valerie L Tryon, Katherine M Pierce, Laura M Tully, Sabrina Ereshefsky, Mark Savill, Leigh Smith, Adam B Wilcox, Christopher Komei Hakusui, Viviana E Padilla, Amanda P McNamara, Merissa Kado-Walton, Andrew J Padovani, Chelyah Miller, Madison J Miles, Nitasha Sharma, Khanh Linh H Nguyen, Yi Zhang, Tara A Niendam

JMIR Hum Factors 2025;12:e65889

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Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Data pooling of 7 trials revealed significant reduction in depression symptoms for participants receiving psychological e Health intervention compared with control groups receiving usual care or active control (online education [37] and web-based discussion forums [41]; standardized mean difference [SMD]=–0.30, 95% CI –0.47 to –0.14; I2=57%; P Forest plot showing the efficacy of e Health psychological interventions for depression.

Jing Jing Su, Rose Lin, Ladislav Batalik, Arkers Kwan Ching Wong, Sherry L Grace

J Med Internet Res 2025;27:e57368

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Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Reference 8: eHealth interventions for the prevention of depression and anxiety in the general population Reference 13: Effects of eHealth interventions on stress reduction and mental health promotion in healthcareehealthHealth Professionals' Training in eHealth, Digital Medicine, Medical Informatics

Zheyuan Zhang, Sijin Sun, Laura Moradbakhti, Andrew Hall, Celine Mougenot, Juan Chen, Rafael A Calvo

JMIR Ment Health 2025;12:e67190

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