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The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study

A desire for additional support in interpreting data was expressed by 11 (61%) participants, particularly in understanding the impact of sleep data on glucose levels. Moreover, personalized recommendations regarding nutrition and more specific daily goals for macronutrients were requested. Preferences regarding support varied.

Sini Määttänen, Saila Koivusalo, Hanna Ylinen, Seppo Heinonen, Mikko Kytö

JMIR Mhealth Uhealth 2025;13:e60855

A Mixed Method Survey of Characteristics of HIV Care Facilities: Medical Monitoring Project Facility Survey Project

A Mixed Method Survey of Characteristics of HIV Care Facilities: Medical Monitoring Project Facility Survey Project

The MMPFS collected data on the capacity of care facilities to deliver prevention care and services; provide HIV prevention messaging; partner with public health programs; offer services for HIV negative partners of people with HIV; engage and retain patients; and offer HIV pre-exposure prophylaxis, medication-assisted therapy, and other ancillary care and support services to those who need them.

Dustin Williams, John Weiser, Timothy McManus, Hanna B Demeke, Darryl Creel, Jason Craw, Milton Cahoon, Linda Beer

JMIR Form Res 2025;9:e52123

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

A Just-in-Time Adaptive Intervention (Shift) to Manage Problem Anger After Trauma: Co-Design and Development Study

Accordingly, interventions that increase internal focus are likely to support greater self-awareness to offset focus on anger-provoking events. Early efforts in this area used digital technologies such as smartphones and wearables to record physiological data, monitor symptoms, and support practicing of CBT-based skills as an adjunct to traditional CBT, and while effective in reducing anger symptoms, did not have additive effects beyond standard psychological treatment [8].

Olivia Metcalf, David Forbes, Lauren M Henry, Tianchen Qian, Tracey Varker, Melissa A Brotman, Sean Cowlishaw, Karen E Lamb, Meaghan L O'Donnell

JMIR Hum Factors 2025;12:e62960

Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Jin et al [17] reported that a result from a user study using large language model framework, Trial GPT, to support patient matching resulted in a 42.6% decrease in the screening time [18]. Another AI approach is clinical trial digital twin technology [18-21]. Digital twin technology creates virtual patients that replicate individual characteristics, enabling the prediction of clinical responses [18,19,21]. By utilizing digital twins, the required sample sizes for clinical trials can be reduced [18,19,21].

Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon

JMIR AI 2025;4:e64845

mHealth Apps Available in Italy to Support Health Care Professionals in Antimicrobial Stewardship Implementation: Systematic Search in App Stores and Content Analysis

mHealth Apps Available in Italy to Support Health Care Professionals in Antimicrobial Stewardship Implementation: Systematic Search in App Stores and Content Analysis

In fact, AMR counseling and support could be effectively aided by the use of information technology, big data, and artificial intelligence (AI) in health care. Despite debates over terminology, m Health encompasses various types of solutions that could support medical and public health practices using mobile devices, such as cell phones, patient monitoring devices, personal digital assistants, and other wireless devices [14].

Giuseppa Russo, Annachiara Petrazzuolo, Marino Trivisani, Giuseppe Virone, Elena Mazzolini, Davide Pecori, Assunta Sartor, Sergio Giuseppe Intini, Stefano Celotto, Rossana Roncato, Roberto Cocconi, Luca Arnoldo, Laura Brunelli

JMIR Mhealth Uhealth 2025;13:e51122

The Motivations of Citizens to Attend an eHealth Course in the Public Library: Qualitative Interview Study

The Motivations of Citizens to Attend an eHealth Course in the Public Library: Qualitative Interview Study

In the literature, 3 categories of support are defined; formal support: institutionalized education with officially recognized awards, nonformal support: institutionalized support and education without officially recognized awards, and informal support: support via social networks [32]. Support via the public library is a form of nonformal support. As the public library is freely accessible to the whole population, costs or resources would not deter the use of this type of support.

Lucille Standaar, Adriana Margje Israel, Rosalie van der Vaart, Brigitta Keij, Frank J van Lenthe, Roland Friele, Mariëlle A Beenackers, Lilian Huibertina Davida van Tuyl

JMIR Form Res 2025;9:e60612

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

While many of these interventions have shown great promise in improving compliance with care and reducing health care disparities [13], there are limited comprehensive technologic interventions to support patients holistically during the fourth trimester. A technology-based solution has the potential to meet ACOG’s goals of continued contact and comprehensive postpartum care for patients.

Kirstin Leitner, Clare Cutri-French, Abigail Mandel, Lori Christ, Nathaneal Koelper, Meaghan McCabe, Emily Seltzer, Laura Scalise, James A Colbert, Anuja Dokras, Roy Rosin, Lisa Levine

JMIR AI 2025;4:e58454

Improving Health and Well-Being of People With Post–COVID-19 Consequences in South Africa: Situation Analysis and Pilot Intervention Design

Improving Health and Well-Being of People With Post–COVID-19 Consequences in South Africa: Situation Analysis and Pilot Intervention Design

Health care providers and patients who had opportunities to have debriefing sessions and support groups, further expanded on the importance of incorporating support groups into the mental health support post–COVID-19: They really must get help. From our side… sitting together talking, [about our experience], it’s a good thing. It’s a helping thing, it’s a very, very good thing. Thank you.

Nicole Audrey Glover, Farzana Sathar, Pride Mokome, Nkululeko Mathabela, Sipokazi Taleni, Sarah Alexandra van Blydenstein, Anna-Maria Mekota, Salome Charalambous, Andrea Rachow, Olena Ivanova

JMIR Form Res 2025;9:e58436

A Digitally Capable Aged Care Workforce: Demands and Directions for Workforce Education and Development

A Digitally Capable Aged Care Workforce: Demands and Directions for Workforce Education and Development

Working with technology in particular ways can support specific well-being factors, including positive emotions, self-awareness, mindfulness, empathy, and compassion—so-called positive computing [19]—and there are reports that this approach can benefit aged care organizations and their workers [20]. But there is no guarantee that this will happen without a deliberate workforce strategy.

Kathleen Gray, Kerryn Butler-Henderson, Karen Day

JMIR Aging 2025;8:e54143

Identifying, Engaging, and Supporting Care Partners in Clinical Settings: Protocol for a Patient Portal–Based Intervention

Identifying, Engaging, and Supporting Care Partners in Clinical Settings: Protocol for a Patient Portal–Based Intervention

Family (broadly defined) care partners provide critical and often daily support for tasks such as dressing and bathing, as well as managing medications, medical equipment, appointments, and follow-up care plans [2-4]. The role of a care partner can be fulfilling as well as challenging. Many care partners report a sense of purpose and fulfillment related to the care they provide, and some research suggests that caregiving has a protective health effect [5-8].

Catherine M DesRoches, Deborah Wachenheim, Jessica Ameling, Aysel Cibildak, Nancy Cibotti, Zhiyong Dong, Alexandra Drane, Isabel Hurwitz, Jennifer Meddings, Jody Naimark, Kimberly O'Donnell, Christine Winger, Sarah Stephens Winnay, Jordan Young, Jennifer L Wolff

JMIR Res Protoc 2025;14:e66708