Literature DB >> 20411472

[Current outcome quality in the care of preterm infants with birth weight less than 1 500 g as a basis for regionalisation of risk pregnancies].

A Trotter1, F Pohlandt.   

Abstract

BACKGROUND: For preterm infants an association between patient volume and mortality has been described.
METHODS: Outcome variables were evaluated for 28 hospitals in Baden-Württemberg for the years 2004-2008. Hospitals with high patient volume were compared to hospitals with a lower patient volume.
RESULTS: Outcomes for 1 164 infants in 2008 and for 4 775 infants in 2004-2008 were analysed. In 2008, mortality of preterm infants less than 32 weeks gestational age (GA) was 9.2% (n=402) in the 5 major hospitals compared to 6.5% (n=520) in the other hospitals (combined mortality 7.7%, n. s., chi-square test). In the years 2004-2008, mortality showed a greater variation in hospitals with a patient volume below 50 and mean mortality was 21.1% higher for infants less than 500 g BW. Hospitals with a patient volume >or= 50 had a lower mortality for infants with BW below 500 g and between 500 g and 749 g (18% and 11%, chi-square test: p<0.05 and <0.01, respectively). For preterm infants with GA below 24 weeks and between 24 and 25 weeks, patient volume and mortality were negatively correlated (p<0.01 and <0.0001, respectively). For infants with a BW >or= 750 g or a GA >or= 26 weeks patient volume had no effect on outcome.
CONCLUSION: Regionalisation of preterm infants with BW less than 750 g and a GA less than 26 weeks may contribute to reduce mortality. Infants with BW >or= 750 g and a GA >or= 26 weeks may not benefit from indirect quality indicators such as patient volume.

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Year:  2010        PMID: 20411472     DOI: 10.1055/s-0030-1249640

Source DB:  PubMed          Journal:  Z Geburtshilfe Neonatol        ISSN: 0948-2393            Impact factor:   0.685


  2 in total

1.  The care of preterm infants with birth weight below 1250 g: risk-adjusted quality benchmarking as part of validating a caseload-based management system.

Authors:  Marcus Kutschmann; Sven Bungard; Joachim Kötting; Andrea Trümner; Christoph Fusch; Christof Veit
Journal:  Dtsch Arztebl Int       Date:  2012-08-06       Impact factor: 5.594

2.  One-sided calculation.

Authors:  Norbert Teig
Journal:  Dtsch Arztebl Int       Date:  2013-02-15       Impact factor: 5.594

  2 in total

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