Journal article
Examining the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling
Journal of perinatology, v 31(12), pp 770-775
01 Dec 2011
PMID: 21494232
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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
Metrics
Details
- Title
- Examining the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling
- Creators
- J. H. Chung - Department of Health ServicesC. S. Phibbs - Stanford UniversityW. J. Boscardin - University of California, San FranciscoG. F. Kominski - Department of Health ServicesA. N. Ortega - Department of Health ServicesK. D. Gregory - Cedars-Sinai Medical CenterJ. Needleman - Department of Health Services
- Publication Details
- Journal of perinatology, v 31(12), pp 770-775
- Publisher
- Springer Nature
- Number of pages
- 6
- Grant note
- Perinatal Resources, Inc.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Health Management and Policy
- Web of Science ID
- WOS:000297646000006
- Scopus ID
- 2-s2.0-82455192209
- Other Identifier
- 991019296564004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Obstetrics & Gynecology
- Pediatrics