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Examining the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling
Journal article   Peer reviewed

Examining the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling

J. H. Chung, C. S. Phibbs, W. J. Boscardin, G. F. Kominski, A. N. Ortega, K. D. Gregory and J. Needleman
Journal of perinatology, v 31(12), pp 770-775
01 Dec 2011
PMID: 21494232

Abstract

Life Sciences & Biomedicine Obstetrics & Gynecology Pediatrics Science & Technology
Objective: The objective of this study was to examine the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling. Study Design: This is a secondary data analysis of California maternal-infant hospital discharge data from 1997 to 2002. The study population was limited to singleton, non-anomalous, very low birth weight infants, who delivered in hospitals providing neonatal intensive care services (level-2 and higher). Hierarchical generalized linear modeling, also known as multilevel modeling, was used to adjust for individual-level confounders. Result: In a multilevel model, increasing hospital volume of very low birth weight deliveries was associated with lower odds of very low birth weight mortality. Characteristics of a particular hospital's obstetrical and neonatal services (the presence of residency and fellowship training programs and the availability of perinatal and neonatal services) had no independent effect. Conclusion: Using multilevel modeling, hospital volume of very low birth weight deliveries appears to be the primary driver of reduced mortality among very low birth weight infants. Journal of Perinatology (2011) 31, 770-775; doi: 10.1038/jp.2011.29; published online 14 April 2011

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Collaboration types
Domestic collaboration
Web of Science research areas
Obstetrics & Gynecology
Pediatrics
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