Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Accounting for variation in length of NICU stay for extremely low birth weight infants

Subjects

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

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

References

  1. 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.

    Article  CAS  Google Scholar 

  2. 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.

  3. 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.

    Article  CAS  Google Scholar 

  4. 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.

    Article  CAS  Google Scholar 

  5. Miller RH, Luft HS . Managed care plan performance since 1980. A literature analysis. JAMA 1994; 271 (19): 1512–1519.

    Article  CAS  Google Scholar 

  6. 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.

    Article  CAS  Google Scholar 

  7. 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.

    Article  Google Scholar 

  8. 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.

    Article  CAS  Google Scholar 

  9. 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.

    Article  Google Scholar 

  10. 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.

    Article  CAS  Google Scholar 

  11. 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.

    Article  Google Scholar 

  12. Schulman J . Studying determinants of length of hospital stay. J Perinatol 2006; 26 (4): 243–245.

    Article  CAS  Google Scholar 

  13. Rahman SMAK, Sathik MM, Senthamarai KK . Multiple linear regression models in outlier detection. Int J Res Comp Sci 2012; 2 (2): 23–28.

    Article  Google Scholar 

  14. Thomas JW . Hospital cost efficiency measurement: Methodological approaches. Pacific Business Group on Health: San Francisco, CA, 2006.

    Google Scholar 

  15. 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.

    Article  Google Scholar 

  16. Rawlings JO, Pantula SG, Dickey DA . Applied Regression Analysis: A Research Tool 2nd edn. Springer: New York, 2001.

    Google Scholar 

  17. Horbar JD, Soll RF, Edwards WH . The Vermont Oxford Network: a community of practice. Clin Perinatol 2010; 37 (1): 29–47.

    Article  Google Scholar 

  18. 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.

    Article  Google Scholar 

  19. Muldoon JH . Structure and performance of different DRG classification systems for neonatal medicine. Pediatrics 1999; 103 (Supplement E1): 302–318.

    CAS  PubMed  Google Scholar 

Download references

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

Authors

Corresponding author

Correspondence to H C Lee.

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

Supplementary information

Rights and permissions

Reprints 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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/jp.2013.92

Keywords

This article is cited by

Search

Quick links