ReviewTranslational pediatrics2019
Vermont Oxford Network: a worldwide learning community.
Review in Translational pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Building a learning health care community in rural and remote areas: a systematic review.BMC health services research · 2024Pooled it
- Association of Hospital Adoption of Probiotics With Outcomes Among Neonates With Very Low Birth Weight.JAMA health forum · 2023Pooled it
- Rates and predictors of intraventricular hemorrhage in the ventfirst trial with comparison to a contemporaneous cohort.Journal of perinatology : official journal of the California Perinatal Association · 2026Trial
- Trial
- International disparities in use of antenatal magnesium sulfate and antenatal steroids for the preterm baby.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Review
- Best evidence summary for the prevention of intraventricular hemorrhage in preterm infants: a systematic review.Translational pediatrics · 2026Review
- The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems.npj health systems · 2026Article
- International classification of diseases codes have low positive predictive value for neonatal morbidities.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Red Blood Cell Transfusion Characteristics and Morbidity or Mortality in Very-Low-Birth-Weight Infants.JAMA network open · 2026Observational
- Surfactant use and outcomes in middle-income versus high-income countries.Journal of tropical pediatrics · 2026Article
- Advances in interdisciplinary care for term and preterm neonates with congenital heart disease: a narrative review.European journal of pediatrics · 2026Review
- Impact analysis and evaluation of the Ethiopian Neonatal Network.BMJ global health · 2026Article
- Quality improvement collaboratives: A neonatal perspective.Seminars in perinatology · 2025Review
- Article
- Outcomes for Very Preterm Infants Across Health Systems.JAMA network open · 2025Article
- Neonatal Feeding Practices and SARS-CoV-2 Transmission in Neonates with Perinatal SARS-CoV-2 Exposure: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Review
- Racial and Ethnic Differences in Outcomes of Neonates Born at Less Than 30 Weeks' Gestation, 2018-2022.JAMA network open · 2024Article
- Explainable Artificial Intelligence in Paediatric: Challenges for the Future.Health science reports · 2024Article
- Improving Human Experience in Health Care: Now More Than Ever, We Must Focus on People.The Permanente journal · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A health care learning community engages providers and families in a collaborative environment to improve outcomes. Vermont Oxford Network (VON), a voluntary organization dedicated to improving the quality, safety and value of care through a coordinated program of data-driven quality improvement, education, and research, is a worldwide learning community in newborn medicine. Through collection of pragmatic structured data items and benchmarking reports, quality improvement collaboratives, pragmatic trials, and observational research, VON facilitates quality improvement by multidisciplinary teams and families in neonatal intensive care units (NICU) in low, middle, and high resource countries. By bringing health professionals and families together across disciplines and geographies to enable shared learning and knowledge dissemination, VON empowers individuals, organizations, and systems to meet the shared vision that every infant around the world can and should achieve their full potential.
Indexed as
Identifiers
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.