ArticleMaternal health, neonatology and perinatology2015
Global network for women's and children's health research: a system for low-resource areas to determine probable causes of stillbirth, neonatal, and maternal death.
Article in Maternal health, neonatology and perinatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03438110 (Project to Understand & Research Preterm Pregnancy Outcomes-South Asia), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Project to Understand & Research Preterm Pregnancy Outcomes-South Asia (PURPOSe)
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Seeking order amidst chaos: a systematic review of classification systems for causes of stillbirth and neonatal death, 2009-2014.BMC pregnancy and childbirth · 2016Pooled it
- Low-dose aspirin for the prevention of preterm delivery in nulliparous women with a singleton pregnancy (ASPIRIN): a randomised, double-blind, placebo-controlled trial.Lancet (London, England) · 2020Trial
- A Comparison of Colorimetric Assessment of Vaginal pH with Nugent Score for the Detection of Bacterial Vaginosis.Infectious diseases in obstetrics and gynecology · 2017Trial
- Risk factors and mortality in infants who received bag and mask ventilation at birth: a secondary analysis from the global network maternal newborn health registry.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Antenatal Care Visit Attendance Frequency and Birth Outcomes in Rural Uganda: A Prospective Cohort Study.Maternal and child health journal · 2021Article
- Gender variations in neonatal and early infant mortality in India and Pakistan: a secondary analysis from the Global Network Maternal Newborn Health Registry.Reproductive health · 2020Article
- The Global Network Maternal Newborn Health Registry: a multi-country, community-based registry of pregnancy outcomes.Reproductive health · 2020Article
- Stillbirth 2010-2018: a prospective, population-based, multi-country study from the Global Network.Reproductive health · 2020Article
- Challenges in classification and assignment of causes of stillbirths in low- and lower middle-income countries.Seminars in perinatology · 2019Review
- Criteria for assigning cause of death for stillbirths and neonatal deaths in research studies in low-middle income countries.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2019Article
- Maternal anaemia and maternal, fetal, and neonatal outcomes in a prospective cohort study in India and Pakistan.BJOG : an international journal of obstetrics and gynaecology · 2019Article
- 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.BJOG : an international journal of obstetrics and gynaecology · 2018Observational
- Global Network for Women's and Children's Health Research: probable causes of stillbirth in low- and middle-income countries using a prospectively defined classification system.BJOG : an international journal of obstetrics and gynaecology · 2018Observational
- The prediction of fetal death with a simple maternal blood test at 20-24 weeks: a role for angiogenic index-1 (PlGF/sVEGFR-1 ratio).American journal of obstetrics and gynecology · 2017Article
- The Global Network Neonatal Cause of Death algorithm for low-resource settings.Acta paediatrica (Oslo, Norway : 1992) · 2017Article
- Mindfulness-based Intervention for Perinatal Grief Education and Reduction among Poor Women in Chhattisgarh, India: a Pilot Study.Interdisciplinary journal of best practices in global development · 2016Article
- The Global Network for Women's and Children's Health Research: A model of capacity-building research.Seminars in fetal & neonatal medicine · 2015Review
- The Global Network Maternal Newborn Health Registry: a multi-national, community-based registry of pregnancy outcomes.Reproductive health · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 16 institutions in 6 countries.
Funding
Abstract
backgroundDetermining cause of death is needed to develop strategies to reduce maternal death, stillbirth, and newborn death, especially for low-resource settings where 98% of deaths occur. Most existing classification systems are designed for high income settings where extensive testing is available. Verbal autopsy or audits, developed as an alternative, are time-intensive and not generally feasible for population-based evaluation. Furthermore, because most classification is user-dependent, reliability of classification varies over time and across settings. Thus, we sought to develop classification systems for maternal, fetal and newborn mortality based on minimal data to produce reliable cause-of-death estimates for low-resource settings.
resultsIn six low-resource countries (India, Pakistan, Guatemala, DRC, Zambia and Kenya), we evaluated data which are collected routinely at antenatal care and delivery and could be obtained with interview, observation, or basic equipment from the mother, lay-health provider or family to inform causes of death. Using these basic data collected in a standard way, we then developed an algorithm to assign cause of death that could be computer-programmed. Causes of death for maternal (trauma, abortion, hemorrhage, infection and hypertensive disease of pregnancy), stillbirth (birth trauma, congenital anomaly, infection, asphyxia, complications of preterm birth) and neonatal death (congenital anomaly, infection, asphyxia, complications of preterm birth) are based on existing cause of death classifications, and compatible with the World Health Organization International Classification of Disease system.
conclusionsOur system to assign cause of maternal, fetal and neonatal death uses basic data from family or lay-health providers to assign cause of death by an algorithm to eliminate a source of inconsistency and bias. The major strengths are consistency, transparency, and comparability across time or regions with minimal burden on the healthcare system. This system will be an important contribution to determining cause of death in low-resource settings.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.