Observational studyBJOG : an international journal of obstetrics and gynaecology2018
A prospective cause of death classification system for maternal deaths in low and middle-income countries: results from the Global Network Maternal Newborn Health Registry.
Observational study in BJOG : an international journal of obstetrics and gynaecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Adverse Materno-Foetal Outcomes of Pre-Eclampsia at a Rural Tertiary Hospital in the Eastern Cape Province of South Africa.International journal of environmental research and public health · 2025Article
- Transforming Postpartum Care: The Efficacy of Simulation Training in Hemorrhage Management Among Nurses.Healthcare (Basel, Switzerland) · 2025Article
- Mobile Health Information and Decision Support System Architecture: Enhancing Maternal Healthcare Access in Uganda.The East African health research journal · 2025Article
- Postpartum hemorrhage in electronic health records: risk factors at admission and in-hospital occurrence.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024Article
- Pregnancy-related mortality up to 1 year postpartum in sub-Saharan Africa: an analysis of verbal autopsy data from six countries.BJOG : an international journal of obstetrics and gynaecology · 2024Article
- Article
- Obstetrics mortality and associated factors in intensive care unit of Addis Ababa public hospital in, 2020/21: A hospital based case control study.Annals of medicine and surgery (2012) · 2022Article
- Prevalence and risk factors for maternal mortality at a tertiary care centre in Eastern Nepal- retrospective cross sectional study.BMC pregnancy and childbirth · 2021Article
- Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review.BMC pregnancy and childbirth · 2021Article
- Classifying maternal deaths in Suriname using WHO ICD-MM: different interpretation by Physicians, National and International Maternal Death Review Committees.Reproductive health · 2021Article
- The association of MOV10 polymorphism and expression levels with preeclampsia in the Chinese Han population.Molecular genetics & genomic medicine · 2021Article
- Maternal mortality in six low and lower-middle income countries from 2010 to 2018: risk factors and trends.Reproductive health · 2020Article
- Diagnostic Performance of First Trimester Screening of Preeclampsia Based on Uterine Artery Pulsatility Index and Maternal Risk Factors in Routine Clinical Use.Diagnostics (Basel, Switzerland) · 2020Article
- Malpresentation in low- and middle-income countries: Associations with perinatal and maternal outcomes in the Global Network.Acta obstetricia et gynecologica Scandinavica · 2019Article
- Causes and contributing factors of maternal mortality in Bosaso District of Somalia. A retrospective study of 30 cases using a Verbal Autopsy approach.Global health action · 2019Article
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Abstract
objectiveTo describe the causes of maternal death in a population-based cohort in six low- and middle-income countries using a standardised, hierarchical, algorithmic cause of death (COD) methodology.
designA population-based, prospective observational study.
settingSeven sites in six low- to middle-income countries including the Democratic Republic of the Congo (DRC), Guatemala, India (two sites), Kenya, Pakistan and Zambia. POPULATION: All deaths among pregnant women resident in the study sites from 2014 to December 2016.
methodsFor women who died, we used a standardised questionnaire to collect clinical data regarding maternal conditions present during pregnancy and delivery. These data were analysed using a computer-based algorithm to assign cause of maternal death based on the International Classification of Disease-Maternal Mortality system (trauma, termination of pregnancy-related, eclampsia, haemorrhage, pregnancy-related infection and medical conditions). We also compared the COD results to healthcare-provider-assigned maternal COD.
main outcome measuresAssigned causes of maternal mortality.
resultsAmong 158 205 women, there were 221 maternal deaths. The most common algorithm-assigned maternal COD were obstetric haemorrhage (38.6%), pregnancy-related infection (26.4%) and pre-eclampsia/eclampsia (18.2%). Agreement between algorithm-assigned COD and COD assigned by healthcare providers ranged from 75% for haemorrhage to 25% for medical causes coincident to pregnancy.
conclusionsThe major maternal COD in the Global Network sites were haemorrhage, pregnancy-related infection and pre-eclampsia/eclampsia. This system could allow public health programmes in low- and middle-income countries to generate transparent and comparable data for maternal COD across time or regions. TWEETABLE ABSTRACT: An algorithmic system for determining maternal cause of death in low-resource settings is described.
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