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Examining Perinatal Regionalization in Practice: A Network Analysis of Maternal Transport in Georgia
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Examining Perinatal Regionalization in Practice: A Network Analysis of Maternal Transport in Georgia

Jingyu Li, Stephanie M. Radke and Lauren N. Steimle
medRxiv
Cold Spring Harbor Laboratory Press, 1.1
02/18/2025
DOI: 10.1101/2025.02.14.25322280
PMCID: PMC11875245
PMID: 40034757
url
https://doi.org/10.1101/2025.02.14.25322280View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

The primary objective was to use network analysis to characterize maternal transport patterns in the state of Georgia and compare them with the state’s designated perinatal regions (DPRs). Using 2017-2022 birth records in Georgia, we constructed network graphs of maternal transport routes among obstetric facilities. We used multivariate logistic regression to identify factors associated with inter-DPR transports. We applied a community-detection algorithm to cluster facilities and compared the clusters to Georgia’s DPRs. Among 774 639 deliveries, 2 757 (0.36%) involved transports among obstetric facilities. 8 facility clusters were identified and strongly aligned with DPRs (p < 0.001). Inter-DRP transports tended to occur between neighboring DPRs and between facilities belonging to the same healthcare system (p < 0.001). Network analysis reveals patterns of maternal transports among obstetric facilities. States can improve the design of perinatal regionalization systems by formalizing existing partnership among obstetric facilities.
Health Systems and Quality Improvement

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