Postpartum hemorrhage is a leading cause of maternal death worldwide. Rapid provision of uterotonics after childbirth is recommended to reduce the incidence and severity of postpartum hemorrhage. Data obtained through direct observation of childbirth practices, collected in a study of the World Health Organization's Safe Childbirth Checklist in Karnataka, India, were used to measure if oxytocin prepared for administration and available at the bedside before birth was associated with decreased time to administration after birth. This was an observational study of provider behavior: data were obtained during a baseline assessment of health worker practices prior to introduction of the Safe Childbirth Checklist, representing behavior in the absence of any intervention. Analysis was based on 330 vaginal deliveries receiving oxytocin at any point postpartum. Oxytocin was prepared and available at bedside for approximately 39% of deliveries. We found that advance preparation and bedside availability of oxytocin was associated with increased likelihood of oxytocin administration within 1 minute after delivery (adjusted risk ratio = 4.89, 95% CI = 2.61, 9.16), as well as with decreased overall time to oxytocin administration after delivery (2.9 minutes sooner in adjusted models, 95% CI = -5.0, -0.9). Efforts to reduce postpartum hemorrhage should include recommendations and interventions to ensure advance preparation and bedside availability of oxytocin to facilitate prompt administration of the medicine after birth.
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http://dx.doi.org/10.9745/GHSP-D-14-00239 | DOI Listing |
MCN Am J Matern Child Nurs
December 2024
Predictive analytics has emerged as a promising approach for improving reproductive health care and patient outcomes. During pregnancy and birth, the ability to accurately predict risks and complications could enable earlier interventions and reduce adverse events. However, there are challenges and ethical considerations for implementing predictive models in perinatal care settings.
View Article and Find Full Text PDFJ Obstet Gynaecol
December 2025
Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Background: Postpartum haemorrhage (PPH) is the leading cause of maternal mortality worldwide, and effective training in PPH rescue techniques is crucial. This study aims to evaluate the effectiveness of combining case-based learning (CBL) and problem-based learning (PBL) with simulation teaching methods in improving midwifery trainees' technical proficiency in managing PPH.
Methods: This quasi-experimental study involved 76 trainees who received PPH training at Peking University Third Hospital from March to July 2023.
Front Cell Infect Microbiol
December 2024
Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Background: Puerperal infection (PI) accounting for approximately 11% of maternal deaths globally is an important preventable cause of maternal morbidity and mortality. This study aims to analyze the high-risk factors and pathogenic bacteria of PI, design a nomogram to predict the risk of PI occurrence, and provide clinical guidance for prevention and treatment to improve maternal outcomes.
Methods: A total of 525 pregnant women were included in the study.
Front Genet
December 2024
Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Research links arthropathies with adverse pregnancy outcomes. This study aims to explore its connection to postpartum hemorrhage (PPH) through Mendelian randomization (MR) analysis.
Methods: The study used GWAS data from the IEU OpenGWAS database for PPH and arthropathies.
BJOG
December 2024
Department of Women's Cancer, Faculty of Population Health Sciences, Medical School Building, EGA Institute for Women's Health, University College London, London, UK.
Objective: To explore how women appreciated the risks discussed within the consent process for planned caesarean section (CS).
Design: Exploratory qualitative interview study.
Setting: NHS Teaching Hospital in Central London.
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