Network analysis: a novel method for mapping neonatal acute transport patterns in California

The objectives of this study are to use network analysis to describe the pattern of neonatal transfers in California, to compare empirical sub-networks with established referral regions and to determine factors associated with transport outside the originating sub-network. This cross-sectional datab...

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Bibliographic Details
Published in:Journal of perinatology 2017-06, Vol.37 (6), p.702-708
Main Authors: Kunz, S N, Zupancic, J A F, Rigdon, J, Phibbs, C S, Lee, H C, Gould, J B, Leskovec, J, Profit, J
Format: Article
Language:English
Subjects:
California
Care and treatment
Collaboration
Congenital anomalies
Congenital defects
Cross-Sectional Studies
Empirical analysis
Evaluation
Forecasts and trends
Gestational age
Graph theory
Graphical representations
Health care
Hospitals
Humans
Infant care
Infant, Newborn
Infants (Newborn)
Intensive care
Intensive Care Units, Neonatal - statistics & numerical data
Logistic Models
Medical statistics
Medicine
Models, Statistical
Neonates
Network analysis
Newborn babies
Patient transfer
Patient Transfer - methods
Patient Transfer - standards
Pediatric research
Pediatrics
Qualitative analysis
Regions
Regulatory sequences
Validation studies
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Description
Summary:The objectives of this study are to use network analysis to describe the pattern of neonatal transfers in California, to compare empirical sub-networks with established referral regions and to determine factors associated with transport outside the originating sub-network. This cross-sectional database study included 6546 infants
ISSN:0743-8346
1476-5543
DOI:10.1038/jp.2017.20