Objective: To investigate the identification of maternal deaths at the community level using the reproductive age mortality survey (RAMOS) in all households in which a women of reproductive age (WRA) died and to determine the most concise subset of questions for identifying a pregnancy-related death for further investigation.
Methods: A full RAMOS survey was conducted with the families of 46 deceased WRA who died between 2005 and July 2009 and was compared with the cause of death confirmed by the maternal mortality review committee to establish the number of maternal mortalities. The positive predictive value (PPV) of each RAMOS question for identifying a maternal death was determined.
Results: Compared with years of voluntary reporting, active surveillance for maternal deaths doubled their identification. In addition, 4 questions from the full RAMOS have the highest PPV for a maternal death including the question: "Was she pregnant within the last 6weeks?" which had a 100% PPV and a 100% negative predictive value.
Conclusion: Active identification of maternal mortality at the community level by using a 4-question modified RAMOS that is systematically administered in the local language by health workers can increase understanding of the extent of maternal mortality in rural Ghana.
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http://dx.doi.org/10.1016/j.ijgo.2011.01.011 | DOI Listing |
Eur J Med Res
December 2024
Clinical and Translational Research Center, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Background: Preeclampsia (PE) is a pregnancy-specific, multisystemic disorder that affects 2-8% pregnancies worldwide and is a leading cause of maternal and perinatal mortality. At present, there is no cure for PE apart from delivery the placenta. Therefore, it is important and urgent to possess a suitable animal model to study the pathology and treatment of PE.
View Article and Find Full Text PDFJ Surg Res
December 2024
Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Introduction: To investigate the maternal and fetal outcomes of pregnant patients who were involved in a motor vehicle accident (MVA).
Materials And Methods: This retrospective, single-center study was conducted at a tertiary care center. A total of 66 patients who experienced an MVA between November 2019 and February 2024 were included.
Med Anthropol Q
December 2024
Department of Anthropology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
This article examines how Eritrea's realization of Millennium Development Goal 5 (the reduction of maternal mortality) reveals the complex workings of medical sovereignty in sub-Saharan Africa. Through the case study of Eritrea, I demonstrate how postcolonial African countries might approach structuring their healthcare systems to navigate-and challenge-the neoliberal contours of global health humanitarianism. By analyzing both Eritrea's colonial history and the liberation-era history of medicine alongside contemporary healthcare policymaking, I trace how racial and gender dynamics shape the reduction of maternal mortality and the pursuit of medical sovereignty more broadly.
View Article and Find Full Text PDFNeoreviews
January 2025
Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Borrelia miyamotoi disease (BMD), also known as hard-tick relapsing fever, is an emerging tick-borne illness caused by the bacterium Borrelia miyamotoi. This pathogen is transmitted primarily by Ixodes ticks, also known as deer ticks or black-legged ticks. BMD poses significant public health concerns because of its potential to cause severe hemodynamic and hematologic disturbances, particularly in vulnerable populations such as pregnant individuals.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, Connecticut, United States of America.
Objective: Predicting neonatal survival is essential for targeting interventions to reduce neonatal mortality. Pacific Islanders have been underrepresented in existing prediction tools and have unique, maternal obesity-related risk factors for both preterm birth and neonatal mortality. Using neonatal sex, birth weight, and gestational age, we developed a graphical tool for neonatal survival among Pacific Islander singletons in the United States.
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