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The Effectiveness of an Artificial Intelligence–Based Gamified Intervention for Improving Maternal Health Outcomes Among Refugees and Underserved Women in Lebanon: Community Interventional Trial

The Effectiveness of an Artificial Intelligence–Based Gamified Intervention for Improving Maternal Health Outcomes Among Refugees and Underserved Women in Lebanon: Community Interventional Trial

In the realm of maternal health, the UNRWA electronic mother and child health (e-MCH) app represents a notable intervention. It integrates a comprehensive database on maternal and infant care and provides appointment reminders, thereby playing a critical role in ensuring the continuity of essential health care services [71].

Shadi Saleh, Nour El Arnaout, Nadine Sabra, Asmaa El Dakdouki, Zahraa Chamseddine, Randa Hamadeh, Abed Shanaa, Mohamad Alameddine

JMIR Mhealth Uhealth 2025;13:e65599

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Social Transfers for Exclusive Breastfeeding in Brazil: Protocol for a Randomized Controlled Trial

Social Transfers for Exclusive Breastfeeding in Brazil: Protocol for a Randomized Controlled Trial

A total of 400 mother-infant dyads will be recruited at the University Hospital of São Paulo and Amparo Maternal during the postpartum hospitalization period. Recruitment will take place over 8 months, with a target of enrolling 50 dyads per month. Each dyad will be followed for a period of 2 years (Figure 1). Study timeline.

Stephanie Khoury, Alexandra Brentani, Helena Brentani, Jarlei Fiamoncini, Rossana Francisco, Ana Carolina Onofre, Silvia Elise Rodrigues Henrique, Günther Fink, Jordyn Wallenborn

JMIR Res Protoc 2025;14:e75796

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Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study

Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study

If an infant’s reported weight deviates from expected growth patterns or if a mother expresses low confidence, frustration, or distress, the system flags these as potential concerns and will initiate a predefined response system for the identified issues. The problem management system leveraged predefined flows structured as decision trees to enable the chatbot to ask targeted questions based on the user’s concern.

Anisha Musti

JMIR Form Res 2025;9:e65157

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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

The loss of an infant's mother through suicide profoundly impacts the infant’s social and emotional well-being [4]. Many Aboriginal women experience strong social and emotional well-being and have flourishing infants and families.

Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

J Med Internet Res 2025;27:e68030

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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

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

This success highlights the effectiveness of the Essential Coaching for Every Mother program to improve immediate parenting self-efficacy and reduce postpartum anxiety symptoms.

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

JMIR Pediatr Parent 2025;8:e62841

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Informatics Interventions for Maternal Morbidity: Scoping Review

Informatics Interventions for Maternal Morbidity: Scoping Review

Preterm birth (PTB; delivering before 37 weeks gestation) is associated with long-term cardiovascular complications in the mother, including ischemic heart disease, stroke, and atherosclerosis [5].

Jill Inderstrodt, Julia C Stumpff, Rebecca C Smollen, Shreya Sridhar, Sarah A El-Azab, Opeyemi Ojo, Brendan Bowns, David A Haggstrom

Interact J Med Res 2025;14:e64826

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A Mindfulness-Based App Intervention for Pregnant Women: Qualitative Evaluation of a Prototype Using Multiple Case Studies

A Mindfulness-Based App Intervention for Pregnant Women: Qualitative Evaluation of a Prototype Using Multiple Case Studies

Although psychoeducational interventions aimed at the psychological well-being of pregnant women are still scarce, ensuring a positive pregnancy experience is crucial, as it lays the foundation for cognitive motivation and a healthy future relationship between mother and child [11]. The use of digital tools represents a promising solution. Indeed, digital interventions offer accessibility and flexibility and overcome social stigma, making them an optimal choice for women seeking support [12,13].

Silvia Rizzi, Maria Chiara Pavesi, Alessia Moser, Francesca Paolazzi, Michele Marchesoni, Stefania Poggianella, Erik Gadotti, Stefano Forti

JMIR Form Res 2025;9:e58265

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