Literature DB >> 21494232

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

J H Chung1, C S Phibbs, W J Boscardin, G F Kominski, A N Ortega, K D Gregory, J Needleman.   

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.

Entities:  

Mesh:

Year:  2011        PMID: 21494232     DOI: 10.1038/jp.2011.29

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  12 in total

1.  Association between hospital recognition for nursing excellence and outcomes of very low-birth-weight infants.

Authors:  Eileen T Lake; Douglas Staiger; Jeffrey Horbar; Robyn Cheung; Michael J Kenny; Thelma Patrick; Jeannette A Rogowski
Journal:  JAMA       Date:  2012-04-25       Impact factor: 56.272

2.  Association of unit size, resource utilization and occupancy with outcomes of preterm infants.

Authors:  P S Shah; L Mirea; E Ng; A Solimano; S K Lee
Journal:  J Perinatol       Date:  2015-02-12       Impact factor: 2.521

3.  Evaluating the effect of hospital and insurance type on the risk of 1-year mortality of very low birth weight infants: controlling for selection bias.

Authors:  Songthip Ounpraseuth; C Heath Gauss; Janet Bronstein; Curtis Lowery; Richard Nugent; Richard Hall
Journal:  Med Care       Date:  2012-04       Impact factor: 2.983

4.  Neonatology departments under economic pressure.

Authors:  Klaus-Peter Zimmer
Journal:  Dtsch Arztebl Int       Date:  2012-08-06       Impact factor: 5.594

5.  Increased risk of death among uninsured neonates.

Authors:  Frank H Morriss
Journal:  Health Serv Res       Date:  2013-02-13       Impact factor: 3.402

6.  Nurse staffing and NICU infection rates.

Authors:  Jeannette A Rogowski; Douglas Staiger; Thelma Patrick; Jeffrey Horbar; Michael Kenny; Eileen T Lake
Journal:  JAMA Pediatr       Date:  2013-05       Impact factor: 16.193

7.  Association between Hospital Birth Volume and Maternal Morbidity among Low-Risk Pregnancies in Rural, Urban, and Teaching Hospitals in the United States.

Authors:  Katy B Kozhimannil; Viengneesee Thao; Peiyin Hung; Ellen Tilden; Aaron B Caughey; Jonathan M Snowden
Journal:  Am J Perinatol       Date:  2016-01-05       Impact factor: 1.862

8.  Impact of managed clinical networks on NHS specialist neonatal services in England: population based study.

Authors:  C Gale; S Santhakumaran; S Nagarajan; Y Statnikov; N Modi
Journal:  BMJ       Date:  2012-04-03

Review 9.  Access to risk-appropriate hospital care and disparities in neonatal outcomes in racial/ethnic groups and rural-urban populations.

Authors:  Scott A Lorch; Jeannette Rogowski; Jochen Profit; Ciaran S Phibbs
Journal:  Semin Perinatol       Date:  2021-03-21       Impact factor: 3.311

10.  Perinatal outcomes for extremely preterm babies in relation to place of birth in England: the EPICure 2 study.

Authors:  N Marlow; C Bennett; E S Draper; E M Hennessy; A S Morgan; K L Costeloe
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2014-03-06       Impact factor: 5.747

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