Studying determinants of length of hospital stay

11Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.

Abstract

Clinicians are accustomed to focusing on individual patients. However, when studying how long their patients stay in the hospital, the focus must widen. Length of stay summarizes the performance of the entire, exceedingly complex, NICU system. Ordinary statistical methods for modeling patient outcomes assume that what happens to one patient is unrelated to what happens to another. However, patients in the same NICU are exposed to similar hospital practices, so patient outcomes may be correlated. Length of stay data must be analyzed by methods that account for possibly correlated outcomes. In addition, to improve patient care and outcomes, predictive models must include determinants clinicians can influence. Such variables describe care process exposures, available beds, demand for beds, and staffing levels. © 2006 Nature Publishing Group. All rights reserved.

References Powered by Scopus

Building a better delivery system: A new engineering/health care partnership

485Citations
N/AReaders
Get full text

Statistical methods for profiling providers of medical care: Issues and applications

378Citations
N/AReaders
Get full text

Queuing Theory Accurately Models the Need for Critical Care Resources

166Citations
N/AReaders
Get full text

Cited by Powered by Scopus

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

50Citations
N/AReaders
Get full text

Neonatal intensive care unit: Predictive models for length of stay

49Citations
N/AReaders
Get full text

Hospital length of stay following admission for traumatic brain injury in a Canadian integrated trauma system: A retrospective multicenter cohort study

46Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Schulman, J. (2006). Studying determinants of length of hospital stay. Journal of Perinatology, 26(4), 243–245. https://doi.org/10.1038/sj.jp.7211478

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 15

79%

Researcher 3

16%

Lecturer / Post doc 1

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 10

63%

Engineering 2

13%

Mathematics 2

13%

Business, Management and Accounting 2

13%

Save time finding and organizing research with Mendeley

Sign up for free