Literature DB >> 30955790

Neonatal Intensive Care Variation in Medicaid-Insured Newborns: A Population-Based Study.

David C Goodman1, Cecilia Ganduglia-Cazaban2, Luisa Franzini3, Therese A Stukel4, Jared R Wasserman5, Megan A Murphy5, Youngran Kim2, Meredith E Mowitz6, Jon E Tyson7, Julie R Doherty5, George A Little8.   

Abstract

OBJECTIVE: To assess the contribution of maternal and newborn characteristics to variation in neonatal intensive care use across regions and hospitals. STUDY
DESIGN: This was a retrospective population-based live birth cohort of newborn infants insured by Texas Medicaid in 2010-2014 with 2 subcohorts: very low birth weight (VLBW) singletons and late preterm singletons. Crude and risk-adjusted neonatal intensive care unit (NICU) admission rates, intensive and intermediate special care days, and imaging procedures were calculated across Neonatal Intensive Care Regions (n = 21) and hospitals (n = 100). Total Medicaid payments were calculated.
RESULTS: Overall, 11.5% of live born, 91.7% of VLBW, and 37.6% of infants born late preterm were admitted to a NICU, receiving an average of 2 days, 58 days, and 5 days of special care with payments per newborn inpatient episode of $5231, $128 075, and $10 837, respectively. There was little variation across regions and hospitals in VLBW NICU admissions but marked variation for NICU admissions in late preterm newborn infants and for special care days and imaging rates in all cohorts. The variation decreased slightly after health risk adjustment. There was moderate substitution of intermediate for intensive care days across hospitals (Pearson r VLBW -0.63 P < .001; late preterm newborn -0.53 P < .001).
CONCLUSIONS: Across all risk groups, the variation in NICU use was poorly explained by differences in newborn illness levels and is likely to indicate varying practice styles. Although the "right" rates are uncertain, it is unlikely that all of these use patterns represent effective and efficient care.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  geographic variation; healthcare costs; perinatal care; physician practice patterns; premature infant

Mesh:

Year:  2019        PMID: 30955790     DOI: 10.1016/j.jpeds.2019.02.014

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  5 in total

1.  Hospital variation in neonatal echocardiography among very preterm infants at US children's hospitals.

Authors:  Brian C King; Joseph Hagan; Troy Richardson; Jay Berry; Jonathan L Slaughter
Journal:  J Perinatol       Date:  2022-09-26       Impact factor: 3.225

2.  Texas Hospital's Perspectives About NICU Performance Measures: A Mixed-Methods Study.

Authors:  Julie R Doherty; Andrew Schaefer; David C Goodman
Journal:  Qual Manag Health Care       Date:  2022-04-04       Impact factor: 1.147

3.  Project Baby Bear: Rapid precision care incorporating rWGS in 5 California children's hospitals demonstrates improved clinical outcomes and reduced costs of care.

Authors:  David Dimmock; Sara Caylor; Bryce Waldman; Wendy Benson; Christina Ashburner; Jason L Carmichael; Jeanne Carroll; Elaine Cham; Shimul Chowdhury; John Cleary; Arthur D'Harlingue; A Doshi; Katarzyna Ellsworth; Carolina I Galarreta; Charlotte Hobbs; Kathleen Houtchens; Juliette Hunt; Priscilla Joe; Maries Joseph; Robert H Kaplan; Stephen F Kingsmore; Jason Knight; Aaina Kochhar; Richard G Kronick; Jolie Limon; Madelena Martin; Katherine A Rauen; Adam Schwarz; Suma P Shankar; Rosanna Spicer; Mario Augusto Rojas; Ofelia Vargas-Shiraishi; Kristen Wigby; Neda Zadeh; Lauge Farnaes
Journal:  Am J Hum Genet       Date:  2021-06-04       Impact factor: 11.025

4.  Trends in neonatal intensive care unit admissions by race/ethnicity in the United States, 2008-2018.

Authors:  Youngran Kim; Cecilia Ganduglia-Cazaban; Wenyaw Chan; MinJae Lee; David C Goodman
Journal:  Sci Rep       Date:  2021-12-10       Impact factor: 4.379

5.  An RCT of Rapid Genomic Sequencing among Seriously Ill Infants Results in High Clinical Utility, Changes in Management, and Low Perceived Harm.

Authors:  David P Dimmock; Michelle M Clark; Mary Gaughran; Julie A Cakici; Sara A Caylor; Christina Clarke; Michele Feddock; Shimul Chowdhury; Lisa Salz; Cynthia Cheung; Lynne M Bird; Charlotte Hobbs; Kristen Wigby; Lauge Farnaes; Cinnamon S Bloss; Stephen F Kingsmore
Journal:  Am J Hum Genet       Date:  2020-11-05       Impact factor: 11.043

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.