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Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model

The assessment of fetal birth weight for the purpose of fetal growth monitoring is essential in contemporary prenatal care, as anomalies in growth are linked with negative consequences for both the mother and the fetus [1,2].

Jing Gao, Xu Jie, Yujun Yao, Jingdong Xue, Lei Chen, Ruiyao Chen, Jiayuan Chen, Weiwei Cheng

JMIR Pediatr Parent 2025;8:e59377

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E-Screening for Prenatal Depression in Kampala, Uganda Using the Edinburgh Postnatal Depression Scale: Survey Results

The goal of this paper is to establish statistical baselines for the prevalence of prenatal depression in Kampala and understand its relationship with key demographic variables. There have been several previous studies on maternal depression in Uganda and other sub-Saharan countries using a wide array of tools. For instance, Muhwezi et al [24] validated the 4-item subjective well-being subscale derived from the COMPASS OP Treatment Assessment System [25] in Uganda.

Hasifah Kasujja Namatovu, Mark Abraham Magumba, Dickens Akena

Online J Public Health Inform 2025;17:e51602

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Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study

Providers at prenatal clinics in the University of Pittsburgh Medical Center (UPMC) health system could prescribe the MHP app (i OS version 1.4.7, Android version 1.8) to pregnant patients at their first prenatal appointment as part of a prenatal care QI initiative sponsored by UPMC and at no cost to the patient.

Tamar Krishnamurti, Rachel Moon, Rudolph Richichi, Rachel Berger

JMIR Pediatr Parent 2025;8:e65247

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The University of California Study of Outcomes in Mothers and Infants (a Population-Based Research Resource): Retrospective Cohort Study

From the California Vital Statistics records, the SOMI platform contains information from the vital statistics records for the birthing person and nonbirthing person, typically the father (race and ethnicity, education, and occupation); residence (address, zip code, and census tract); payer for prenatal care and expected payer for delivery; prepregnancy and delivery weight; height; number of prenatal care visits; the month prenatal care began; the mode of delivery; gestational age at delivery; singleton or twin

Rebecca J Baer, Gretchen Bandoli, Laura Jelliffe-Pawlowski, Christina D Chambers

JMIR Public Health Surveill 2024;10:e59844

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Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Because pregnancy care often is characterized by multi-modal (eg, clinical findings, medical imaging, noninvasive prenatal testing, and genomics), multi-specialty data (eg, obstetrics, maternal-fetal medicine, gynecology, reproductive endocrinology and infertility, and neonatology), and complex episodes (ie, from preconception, conception, prenatal, intrapartum, to post partum), precise and timely clinical decision support requires a very high level of EHR interoperability and clinical validity.

Xinnian Lin, Chen Liang, Jihong Liu, Tianchu Lyu, Nadia Ghumman, Berry Campbell

J Med Internet Res 2024;26:e54737

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Health Information System Strengthening During Antenatal Care in Haiti: Continuous Quality Improvement Study

For example, critical patient data, such as prenatal risk factors, history, blood pressure, other vital signs, laboratory results, and syphilis/HIV status, are all essential in the provision of continuity of care. Prenatal care optimizes both the outcomes and experiences of maternal health care for pregnant women along with outcomes for newborns [17].

Meredith Casella Jean-Baptiste, Thamar Monide Vital Julmiste, Ellen Ball

JMIR Form Res 2024;8:e55000

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Use of Electronic Patient Messaging by Pregnant Patients Receiving Prenatal Care at an Academic Health System: Retrospective Cohort Study

Our data did not permit identification of “threads” across messages involving multiple messages on the same issue, as this would require natural language processing of message texts that could identify specific issue content and the duration of threads across a given prenatal time interval.

Kai Holder, Joe Feinglass, Charlotte Niznik, Lynn M Yee

JMIR Mhealth Uhealth 2024;12:e51637

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Evaluating Messaging on Prenatal Health Behaviors Using Social Media Data: Systematic Review

Accurate and easily understandable information on prenatal health is important for maternal and child health. There are several poor health outcomes among newborns that are affected by prenatal health behaviors. For example, alcohol consumption during pregnancy can result in fetal alcohol spectrum disorders, leading to lifelong developmental disabilities and multiple comorbidities [1,2], and smoking during pregnancy can, among other outcomes, lead to low birthweight [3].

Nessie Felicia Frennesson, Cheryl McQuire, Saher Aijaz Khan, Julie Barnett, Luisa Zuccolo

J Med Internet Res 2023;25:e44912

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