98%
921
2 minutes
20
Objective: to evaluate the effectiveness of a fetal monitoring education programme on midwives' fetal monitoring knowledge and intrapartum cardiotocograph interpretation skills.
Design: two group, before-after, randomised-controlled trial.
Setting: two maternity hospitals in the Republic of Ireland.
Participants: 55 midwives were randomly assigned to either the experimental group (n=27) or the control group (n=28).
Interventions: the experimental group participated in a 1.5 hr fetal monitoring education programme, whereas the control group attended an alternative education programme consisting of a non-fetal-monitoring-related video presentation.
Measurements: the primary outcomes of interest were fetal monitoring knowledge and intrapartum cardiotocograph interpretation skills test.
Findings: in the fetal monitoring knowledge post-test, the median percentage correct responses for the control and experimental groups were 56% (IQR 18.75) and 88% (IQR 12.5), respectively. This difference, 31.2%, was statistically significant (U=78.5, 95.1% CI -31.25 to -18.75, p<0.001). In the intrapartum cardiotocograph interpretation skills post-test, the median percentage correct responses for the control and experimental groups were 55.6% (IQR 16.7) and 66.7% (IQR 22.2), respectively. This difference, of 11.1%, was statistically significant (U=186, 95.2% CI -16.67 to -5.56, p<0.001).
Key Conclusions And Implications For Practice: attendance at a short (1.5 hr), in-service fetal monitoring education programme can increase midwives' fetal monitoring knowledge and cardiotocograph interpretation skills. The availability of in-service fetal monitoring education programmes is sporadic, often less than recommended, and is a cause for concern.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.midw.2005.11.003 | DOI Listing |
Cureus
August 2025
College of Medicine, King Saud University, Riyadh, SAU.
Background Subclinical hypothyroidism (SCH) in pregnancy poses serious maternal and fetal risks, including miscarriage, gestational diabetes, and neurodevelopmental impairment. Despite clear international guidelines like those from the American Thyroid Association (ATA), global practice remains inconsistent. In Saudi Arabia, where SCH prevalence among pregnant women is notably high (13%), there is limited national data on how closely physicians follow these guidelines.
View Article and Find Full Text PDFFront Physiol
August 2025
Department of Ultrasound, Deyang People's Hospital, Deyang, Sichuan, China.
Background: Antiphospholipid syndrome (APS) is a major immune-related disorder that leads to adverse pregnancy outcomes (APO), including recurrent miscarriage, placental abruption, preterm birth, and fetal growth restriction. Antiphospholipid antibodies (aPLs), particularly anticardiolipin antibodies (aCL), anti-β2-glycoprotein I antibodies (aβ2GP1), and lupus anticoagulant (LA), are considered key biomarkers for APS and are closely associated with adverse pregnancy outcomes. This is a prospective observational cohort study to use machine learning model to predict adverse pregnancy outcomes in APS patients using early pregnancy aPL levels and clinical features.
View Article and Find Full Text PDFArch Gynecol Obstet
September 2025
Department of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy.
Objectives: Recommendations regarding the use of third-trimester ultrasound lack universal consensus. Yet, there is evidence which supports its value in assessing fetal growth, fetal well-being, and a number of pregnancy-related complications. This literature review evaluates the available scientific evidence regarding its applications, usefulness, and the timing of the third-trimester scan in a low-risk population.
View Article and Find Full Text PDFJAACAP Open
September 2025
University of Calgary, Calgary, Alberta, Canada.
Objective: Psychological distress (eg, anxiety and depression) during pregnancy can disrupt fetal brain development and negatively affect infant behavior. Prenatal distress rose substantially during the COVID-19 pandemic according to most, but not all, studies, raising concerns about its potential effects on brain connectivity and behavior in infants.
Method: We investigated 63 mother-infant pairs as part of the Pregnancy during the COVID-19 Pandemic study.
Med Biol Eng Comput
September 2025
Department of Computer Science, Università degli Studi di Bari Aldo Moro, Bari, Italy.
Fetal standard plane detection is essential in prenatal care, enabling accurate assessment of fetal development and early identification of potential anomalies. Despite significant advancements in machine learning (ML) in this domain, its integration into clinical workflows remains limited-primarily due to the lack of standardized, end-to-end operational frameworks. To address this gap, we introduce FetalMLOps, the first comprehensive MLOps framework specifically designed for fetal ultrasound imaging.
View Article and Find Full Text PDF