Observational studyReproductive health2015
Data quality monitoring and performance metrics of a prospective, population-based observational study of maternal and newborn health in low resource settings.
Observational study in Reproductive health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01073475 (Global Network for Women's and Children's Health Research Maternal Newborn Health Registry), which is not on this map. Cited by 15 papers.
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.
Global Network for Women's and Children's Health Research Maternal Newborn Health Registry
Who cites it
15 citing papers in PubMed.
- Anemia and adverse outcomes in pregnancy: subgroup analysis of the CLIP cluster-randomized trial in India.BMC pregnancy and childbirth · 2022Trial
- Article
- Examining maternal morbidity across a spectrum of delivery locations: An analysis of the Global Network's Maternal and Neonatal Health Registry.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023Article
- Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa.Journal of clinical and translational science · 2023Article
- Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network.Contemporary clinical trials communications · 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
- Development of the Global Network for Women's and Children's Health Research's socioeconomic status index for use in the network's sites in low and lower middle-income countries.Reproductive health · 2020Article
- The relationship between birth intervals and adverse maternal and neonatal outcomes in six low and lower-middle income countries.Reproductive health · 2020Article
- The Global Network Maternal Newborn Health Registry: a multi-country, community-based registry of pregnancy outcomes.Reproductive health · 2020Article
- Looking beyond the numbers: quality assurance procedures in the Global Network for Women's and Children's Health Research Maternal Newborn Health Registry.Reproductive health · 2020Article
- Reducing defects in the datasets of clinical research studies: conformance with data quality metrics.BMC medical research methodology · 2019Article
- Translating research evidence into practice: a report from the 2Reproductive health · 2018Article
- Anthropometric indices for non-pregnant women of childbearing age differ widely among four low-middle income populations.BMC public health · 2017Article
- Treatment decisions in multiple sclerosis - insights from real-world observational studies.Nature reviews. Neurology · 2017Review
- A pre-post study of a multi-country scale up of resuscitation training of facility birth attendants: does Helping Babies Breathe training save lives?BMC pregnancy and childbirth · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
Abstract
backgroundTo describe quantitative data quality monitoring and performance metrics adopted by the Global Network's (GN) Maternal Newborn Health Registry (MNHR), a maternal and perinatal population-based registry (MPPBR) based in low and middle income countries (LMICs).
methodsOngoing prospective, population-based data on all pregnancy outcomes within defined geographical locations participating in the GN have been collected since 2008. Data quality metrics were defined and are implemented at the cluster, site and the central level to ensure data quality. Quantitative performance metrics are described for data collected between 2010 and 2013.
resultsDelivery outcome rates over 95% illustrate that all sites are successful in following patients from pregnancy through delivery. Examples of specific performance metric reports illustrate how both the metrics and reporting process are used to identify cluster-level and site-level quality issues and illustrate how those metrics track over time. Other summary reports (e.g. the increasing proportion of measured birth weight compared to estimated and missing birth weight) illustrate how a site has improved quality over time.
conclusionHigh quality MPPBRs such as the MNHR provide key information on pregnancy outcomes to local and international health officials where civil registration systems are lacking. The MNHR has measures in place to monitor data collection procedures and improve the quality of data collected. Sites have increasingly achieved acceptable values of performance metrics over time, indicating improvements in data quality, but the quality control program must continue to evolve to optimize the use of the MNHR to assess the impact of community interventions in research protocols in pregnancy and perinatal health. TRIAL REGISTRATION NUMBER: NCT01073475.
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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.