Literature DB >> 24022377

Influence of neonatal practice variation on outcomes of late preterm birth.

Sofia Aliaga1, Kim Boggess2, Thomas S Ivester2, Wayne A Price1.   

Abstract

OBJECTIVE: Examine variation in short-term outcomes of late preterm births (34(0/7)-36(6/7) weeks) between a university teaching hospital, teaching community hospital, and nonteaching community hospital. STUDY
DESIGN: Review of maternal and newborn data from a random sample of late preterm births at three hospitals in North Carolina from 2008 to 2009. Outcomes included length of stay, neonatal intensive care unit (NICU) admission, respiratory support, antibiotic exposure, phototherapy exposure, and hypoglycemia.
RESULTS: We analyzed data from 331 singleton late preterm newborns: 93 (28.1%) from a university teaching hospital, 110 (33.2%) from a teaching community hospital, and 128 (38.7%) from a nonteaching community hospital. Mean gestational age did not vary between hospitals. NICU admission, exposure to antibiotics, and phototherapy were more common at the university teaching hospital after controlling for risk factors, yet length of stay was shortest at the university teaching hospital and longest at the teaching community hospital after adjustment.
CONCLUSION: Practice variation contributes to differences in length of stay, NICU admission, and exposure to antibiotics and phototherapy among late preterm newborns. Differences in practice during the birth hospitalization may affect outcomes and health care utilization (e.g., readmission) after discharge. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2013        PMID: 24022377     DOI: 10.1055/s-0033-1356484

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  5 in total

1.  The Children's Hospitals Neonatal Database: an overview of patient complexity, outcomes and variation in care.

Authors:  K Murthy; F D Dykes; M A Padula; E K Pallotto; K M Reber; D J Durand; B L Short; J M Asselin; I Zaniletti; J R Evans
Journal:  J Perinatol       Date:  2014-03-06       Impact factor: 2.521

Review 2.  Predicting clinical outcomes using artificial intelligence and machine learning in neonatal intensive care units: a systematic review.

Authors:  Ryan M McAdams; Ravneet Kaur; Yao Sun; Harlieen Bindra; Su Jin Cho; Harpreet Singh
Journal:  J Perinatol       Date:  2022-05-13       Impact factor: 2.521

3.  Center Variation in the Delivery of Indicated Late Preterm Births.

Authors:  Sofia Aliaga; Jun Zhang; D Leann Long; Amy H Herring; Matthew Laughon; Kim Boggess; Uma M Reddy; Katherine Laughon Grantz
Journal:  Am J Perinatol       Date:  2016-04-27       Impact factor: 1.862

4.  Neonatal outcomes and delivery of care for infants born late preterm or moderately preterm: a prospective population-based study.

Authors:  Elaine M Boyle; Samantha Johnson; Bradley Manktelow; Sarah E Seaton; Elizabeth S Draper; Lucy K Smith; Jon Dorling; Neil Marlow; Stavros Petrou; David J Field
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2015-04-01       Impact factor: 5.747

5.  Optimising neonatal service provision for preterm babies born between 27 and 31 weeks gestation in England (OPTI-PREM), using national data, qualitative research and economic analysis: a study protocol.

Authors:  Thillagavathie Pillay; Neena Modi; Oliver Rivero-Arias; Brad Manktelow; Sarah E Seaton; Natalie Armstrong; Elizabeth S Draper; Kelvin Dawson; Alexis Paton; Abdul Qader Tahir Ismail; Miaoqing Yang; Elaine M Boyle
Journal:  BMJ Open       Date:  2019-08-22       Impact factor: 2.692

  5 in total

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