Abstract
Objective:
To develop a length of stay (LOS) model for extremely low birth weight (ELBW) infants.
Study Design:
We included infants from the California Perinatal Quality Care Collaborative with birth weight 401 to 1000 g who were discharged to home. Exclusion criteria were congenital anomalies, surgery and death. LOS was defined as days from admission to discharge. As patients who died or were transferred to lower level of care were excluded, we assessed correlation of hospital mortality rates and transfers to risk-adjusted LOS.
Results:
There were 2012 infants with median LOS 79 days (range 23 to 219). Lower birth weight, lack of antenatal steroids and lower Apgar score were associated with longer LOS. There was negligible correlation between risk-adjusted LOS and hospital mortality rates (r=0.0207) and transfer-out rates (r=0.121).
Conclusion:
Particularly because ELBW infants have extended hospital stays, identification of unbiased and informative risk-adjusted LOS for these infants is an important step in benchmarking best practice and improving efficiency in care.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Tyson JE, Younes N, Verter J, Wright LL . Viability, morbidity, and resource use among newborns of 501- to 800-g birth weight. National Institute of Child Health and Human Development Neonatal Research Network. JAMA 1996; 276 (20): 1645–1651.
Economic outcome for intensive care of infants of birthweight 500-999 g born in Victoria in the post surfactant era. The Victorian Infant Collaborative Study Group. J Paediatr Child Health 1997; 33 (3): 202–208.
Manktelow B, Draper ES, Field C, Field D . Estimates of length of neonatal stay for very premature babies in the UK. Arch Dis Child Fetal Neonatal Ed 2010; 95 (4): F288–F292.
Altman M, Vanpee M, Cnattingius S, Norman M . Moderately preterm infants and determinants of length of hospital stay. Arch Dis Child Fetal Neonatal Ed 2009; 94 (6): F414–F418.
Miller RH, Luft HS . Managed care plan performance since 1980. A literature analysis. JAMA 1994; 271 (19): 1512–1519.
Chaix-Couturier C, Durand-Zaleski I, Jolly D, Durieux P . Effects of financial incentives on medical practice: results from a systematic review of the literature and methodological issues. Int J Qual Health Care 2000; 12 (2): 133–142.
Bannwart Dde C, Rebello CM, Sadeck LS, Pontes MD, Ramos JL, Leone CR . Prediction of length of hospital stay in neonatal units for very low birth weight infants. J Perinatol 1999; 19 (2): 92–96.
Berry MA, Shah PS, Brouillette RT, Hellmann J . Predictors of mortality and length of stay for neonates admitted to children’s hospital neonatal intensive care units. J Perinatol 2008; 28 (4): 297–302.
Hintz SR, Bann CM, Ambalavanan N, Cotten CM, Das A, Higgins RD . Predicting time to hospital discharge for extremely preterm infants. Pediatrics 2010; 125 (1): e146–e154.
Bender GJ, Koestler D, Ombao H, McCourt M, Alskinis B, Rubin LP et al. Neonatal intensive care unit: predictive models for length of stay. J Perinatol 2013; 33 (2): 147–153.
Lee HC, Gould JB . Survival rates and mode of delivery for vertex preterm neonates according to small- or appropriate-for-gestational-age status. Pediatrics 2006; 118 (6): e1836–e1844.
Schulman J . Studying determinants of length of hospital stay. J Perinatol 2006; 26 (4): 243–245.
Rahman SMAK, Sathik MM, Senthamarai KK . Multiple linear regression models in outlier detection. Int J Res Comp Sci 2012; 2 (2): 23–28.
Thomas JW . Hospital cost efficiency measurement: Methodological approaches. Pacific Business Group on Health: San Francisco, CA, 2006.
Jin R, Furnary AP, Fine SC, Blackstone EH, Grunkemeier GL . Using Society of Thoracic Surgeons risk models for risk-adjusting cardiac surgery results. Ann Thoracic Surg 2010; 89 (3): 677–682.
Rawlings JO, Pantula SG, Dickey DA . Applied Regression Analysis: A Research Tool 2nd edn. Springer: New York, 2001.
Horbar JD, Soll RF, Edwards WH . The Vermont Oxford Network: a community of practice. Clin Perinatol 2010; 37 (1): 29–47.
Cotten CM, Oh W, McDonald S, Carlo W, Fanaroff AA, Duara S et al. Prolonged hospital stay for extremely premature infants: risk factors, center differences, and the impact of mortality on selecting a best-performing center. J Perinatol 2005; 25 (10): 650–655.
Muldoon JH . Structure and performance of different DRG classification systems for neonatal medicine. Pediatrics 1999; 103 (Supplement E1): 302–318.
Acknowledgements
The project described was supported by Grant Number K23HD068400 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Center for Advancing Translational Sciences, National Institutes of Health, through UCSF-CTSI Grant Number UL1 TR000004.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Author Contributions
All above-listed authors meet the following criteria: (1) Substantial contributions to conception and design, acquisition of data or analysis and interpretation of data. (2) Drafting the article or revising it critically for intellectual content; and (3) Final approval of the version to be published.
Supplementary Information accompanies the paper on the Journal of Perinatology website
Rights and permissions
About this article
Cite this article
Lee, H., Bennett, M., Schulman, J. et al. Accounting for variation in length of NICU stay for extremely low birth weight infants. J Perinatol 33, 872–876 (2013). https://doi.org/10.1038/jp.2013.92
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/jp.2013.92
Keywords
This article is cited by
-
Prevalence and correlates of low birth weight in India: findings from national family health survey 5
BMC Pregnancy and Childbirth (2023)
-
Neonatal intensive care unit occupancy rate and probability of discharge of very preterm infants
Journal of Perinatology (2023)
-
A case-based reasoning system for neonatal survival and LOS prediction in neonatal intensive care units: a development and validation study
Scientific Reports (2023)
-
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study
Journal of Perinatology (2022)
-
Variations in length of stay among survived very preterm infants admitted to Chinese neonatal intensive care units
World Journal of Pediatrics (2022)