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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Quantifying the variation in neonatal transport referral patterns using network analysis.

Sarah N Kunz1,2, Daniel Helkey3,4, Marinka Zitnik5

  • 1Division of Newborn Medicine, Department of Pediatrics, Harvard Medical School, Boston, MA, USA. skunz@bidmc.harvard.edu.

Journal of Perinatology : Official Journal of the California Perinatal Association
|May 26, 2021
PubMed
Summary
This summary is machine-generated.

Regionalized neonatal care improves outcomes. Neonatal transport networks vary by patient characteristics, indicating a need for multidimensional regionalization strategies for infants, especially preterm and surgical cases.

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Area of Science:

  • Neonatal medicine
  • Healthcare systems analysis
  • Network science

Background:

  • Regionalized care is crucial for reducing neonatal morbidity and mortality.
  • Understanding neonatal transport networks is key to optimizing care delivery.

Purpose of the Study:

  • To evaluate how patient characteristics correlate with quantitative differences in neonatal transport networks.
  • To assess the impact of infant attributes on the structure and efficiency of interhospital transfer systems.

Main Methods:

  • Retrospective analysis of prospectively collected data on neonatal transports (infants <28 days) in California (2008-2012).
  • Graph generation of bidirectional hospital transfers, stratified by patient attributes.
  • Comparison of standard network analysis metrics (density, centralization, efficiency, modularity).

Main Results:

  • Analysis of 34,708 acute transfers across 1594 routes and 271 hospitals.
  • Significant differences in network metrics (density, centralization, efficiency, modularity) were observed based on infant attributes.
  • Preterm and surgical patients exhibited greater regionalization compared to term or medically transported infants (p < 0.001).

Conclusions:

  • Neonatal interhospital transport networks are demonstrably different based on patient attributes.
  • Regionalization strategies must consider the multidimensional nature of these networks and patient-specific needs.