View clinical trials related to Stillbirth.
Filter by:Inequalities in stillbirth, infant and child mortality as well as other reproductive health outcomes have been reported among ethnic minority groups in Denmark. The MAMAACT study aims to improve the communication between non-Western immigrant women and midwives regarding body symptoms that need prompt reaction, and thus improve perinatal health. 19 of 21 maternity wards in Denmark participate in the study. By simple randomization 10 maternity wards have been selected to the intervention group and 9 maternity wards to the control group. The intervention consist of post graduate training of midwives in intercultural competence and use of health education materials (leaflet and app) on pregnancy warning signs. The intervention will be implemented in the antenatal care from October 2018- September 2019. The training is expected to reach 350 midwives working with antenatal care and 27000 pregnant women, of whom 2700 are expected to be non-Western migrant women. The effect of the MAMAACT intervention will be analyzed by assessing women's ability to actively engage with health care providers (primary outcome), women's knowledge about warning signs of pregnancy complications and health system navigation using survey data. Secondary outcomes are 5-minute Apgar score, umbilical-cord blood gas analysis, transfer to a neonatal intensive care unit, gestational age at birth, fetal birthweight according to gestational age and ICD-10 code for sign of asphyxia. MAMAACTs overall target group is all pregnant women, and the specific target group is women of non-Western origin. Therefore, the outcomes of the trial will be analysed for both the total population and for the effects among non-Western immigrant women specifically. Hypothesis: Training of midwives in intercultural competence and increased attention to communication of warning signs of pregnancy during antenatal care will improve the communication and interaction between women and midwives, improve health literacy of the women and enable them to better access the relevant care in case of a pregnancy complication, which will then increase survival and health of newborn children.
The aim of this project is to determine the epidemiology of congenital cytomegalovirus (CMV) infection and incidence of subsequent permanent neurological sequelae in a high HIV prevalent setting in Soweto, Johannesburg. A cross-sectional study will be conducted on mother-infant pairs, screening mothers for CMV infection and newborns for congenital CMV infection. Maternal CMV prevalence will be determined by testing for CMV specific antibodies in blood. Newborn congenital infection will be determined by polymerase chain reaction (PCR) tests on newborn saliva and urine within 3 weeks of birth. Various risk factors associated with congenital CMV such as HIV exposure, and gestational age will be assessed. The association between maternal vaginal CMV shedding postnatally with congenital CMV infection will be explored by swabbing maternal vaginal fluid and conducting quantitative CMV PCR analysis. Newborns confirmed with congenital CMV and a control group of uninfected newborns will form a cohort to be followed up until 12 months of age monitoring for various neurological sequelae such as hearing loss, neurodevelopmental impairment, ocular damage, cerebral damage and seizures. A comparison of vaccine immune responses between cases of congenital CMV and the CMV uninfected infants to the primary series of vaccines in the National Expanded Programme on Immunisation will be compared. The contribution of CMV infection to neonatal death and stillbirths will be described by minimally invasive tissue sampling (MITS) for CMV on babies that die during the neonatal period and stillbirths.
Bemiparin for pregnant women with abnormal umbilical artery Doppler ultrasound
The aim of the study is to evaluate a health workforce capacity building and quality improvement intervention focused on integrated day-of-birth and post-pregnancy care at 16 hospitals in Kinshasa, Democratic Republic of Congo. The intervention package consists of a low-dose, high-frequency (LDHF) training of health workers, support for quality improvement teams, and provision of critical equipment, supplies and drugs within a quality improvement (QI) framework.
This study assesses the effect of a low-dose, high-frequency training approach on long-term evidence-based skill retention among skilled birth attendants and impact on adverse birth outcomes at hospitals in Ghana.
The study is a multicentre evaluation of maternity care delivered through the Saving Babies' Lives care bundle using both quantitative and qualitative methodologies. The study will be conducted in twenty NHS Hospital Trusts from six NHS Strategic Clinical Networks totalling approximately 100,000 births. It involves participation by both service users and care providers. To determine the impact of the care bundle on pregnancy outcomes, birth data and other clinical measures will be extracted from maternity databases and case-note audit from before and after implementation. Additionally, this study will employ questionnaires with organisational leads and review clinical guidelines to assess how resources, leadership and governance may affect implementation in diverse hospital settings. The cost of implementing the care bundle, and the cost per stillbirth avoided, will also be estimated as part of a health economic analysis. The views and experiences of service users and service providers towards maternity care in relation to the care bundle will be also be sought using questionnaires. This study will provide practice-based evidence to advance knowledge about the processes that underpin successful implementation of the care bundle so that it can be further developed and refined. This has the potential to translate into substantial improvements in the rate of late stillbirth in the UK should the care bundle be proved effective.
The purpose of this study is to conduct Verbal Autopsies of deaths ( stillbirths and neonatal deaths together) identified in the BetterBirth trial to identify their potential causes, timing, and social determinants.
The focus of this work is to improve antenatal care (ANC) and postnatal care (PNC) at the health center level in five districts in Rwanda (Bugesera, Burera, Nyamasheke, Nyarugenge, and Rubavu). 36 health centers in these districts are included in this cluster randomized control trial (RCT) of group ANC and PNC care to measure this alternative model's effects on gestational age at birth, survival of preterm and low birth weight infants at 42 days of life, and ANC and PNC coverage. To improve antenatal assessment of gestational age, nurses will be trained in obstetric ultrasound at 18 health centers. These facilities will also incorporate pregnancy testing with urine dipstick to be performed by community health workers in charge of maternal health to facilitate early entry into ANC. This trial will test the hypothesis that women who participate in this alternative model of group ANC will experience increased gestational age at birth, as compared to women who receive standard focused ANC. This study is a collaboration with the University of Rwanda, the Rwandan Ministry of Health (MOH), the Rwanda Biomedical Center, and UCSF. The group care model used in this study is Rwanda-specific model developed by a Rwandan technical working group. The model includes an individual clinical visit for the first antenatal visit, followed by three group visits spaced about 8 weeks apart throughout pregnancy and a postnatal group visit at approximately 6 weeks after birth. Women will be grouped into stable groups of approximately 8-12 women with similar due dates. A community health worker (CHW) and a health center nurse will work together as co-facilitators to lead each of the groups. Each group visit includes clinical assessment, education, and treatments as appropriate for the women who attend. The model is founded on facilitative leadership of the groups, in which the co-facilitators allow women's experiences and interests to drive the content and women are encouraged to help one another cope with obstacles to optimal health. Facilitators will be supported by master trainers who will visit health centers to observe group sessions and offer supportive feedback. Data collected in this trial will include measures of the satisfaction of both women and providers with the group care, content of care differences between standard and group care, and perinatal outcomes such as gestational age at delivery and 42-day preterm and low birth weight infant survival.
The purpose of this study is to determine whether a combination of evidence-based strategies can improve intrapartum and newborn care in facilities to reduce mortality among preterm infants. This will be a cluster randomized implementation science study across 23 facilities in Eastern Uganda and Western Kenya. Selected interventions will be supported in facilities to measure impact during the study period. These interventions are: a) data strengthening and data use activities; b) implementation of a modified WHO Safe Childbirth Checklist with an emphasis on preterm labor and preterm babies; c) simulation-based provider training and mentoring on key existing evidence-based practices to improve newborn outcomes; d) support of Quality Improvement (QI) cycles to identify and resolve facility-specific issues and bottlenecks. A two-stage design will be used where all study facilities will receive some aspects of the intervention initially, namely data strengthening and the modified checklist. Subsequently, the remaining interventions (QI cycles and simulation training of providers) will be rolled out to a randomly selected half of the facilities in the first stage. At a second stage, the remaining half of the facilities will receive the remaining interventions.
Preterm birth (PTB), preeclampsia (PE), fetal growth restriction (FGR) and intra-uterine fetal death (IUFD) constitutes the main causes of perinatal morbidity and mortality and are called "Great Obstetrical Syndromes". Algorithms to predict those outcomes have been developed by combining maternal characteristics (history, age, BMI, blood pressure), biochemical (sFlt-1, β-hCG, PlGF, AFP) and sonographic (uterine artery Doppler, 3D of placenta, cervical length, nasal bone measurement, nuchal translucency) markers. Another prospective observational study ("PREDICTION study" NCT 02189148) is also ongoing, which aims to validate those algorithms at the first trimester of pregnancy. Recent data suggest that repeating the same measurements later in pregnancy could improve the detection rates, allowing closer monitoring of high-risk patients and potential therapeutics under investigation. The current study (PREDICTION2) is an ancillary study of PREDICTION and aims at validating the use of these markers in a combined iterative manner in the prediction of preeclampsia and other obstetrical outcomes.