Predicting Time to Hospital Discharge for Extremely Preterm Infants

As extremely preterm infant mortality rates have decreased, concerns regarding resource use have intensified. Accurate models for predicting time to hospital discharge could aid in resource planning, family counseling, and stimulate quality-improvement initiatives. To develop, validate, and compare...

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Bibliographic Details
Published in:Pediatrics (Evanston) 2010-01, Vol.125 (1), p.e146-e154
Main Authors: Hintz, Susan R, Bann, Carla M, Ambalavanan, Namasivayam, Cotten, C. Michael, Das, Abhik, Higgins, Rosemary D, Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network
Format: Article
Language:English
Subjects:
Babies
Cohort Studies
Discharge
Female
Follow-Up Studies
Humans
Infant, Extremely Low Birth Weight
Infant, Newborn
Infant, Premature, Diseases - diagnosis
Infant, Premature, Diseases - mortality
Infant, Premature, Diseases - therapy
Intensive Care Units, Neonatal
Length of Stay
Linear Models
Male
Patient Discharge - trends
Pediatrics
Predictive Value of Tests
Pregnancy
Premature birth
Probability
Retrospective Studies
Risk Assessment
Risk factors
Survival Analysis
Time Factors
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Summary:As extremely preterm infant mortality rates have decreased, concerns regarding resource use have intensified. Accurate models for predicting time to hospital discharge could aid in resource planning, family counseling, and stimulate quality-improvement initiatives. To develop, validate, and compare several models for predicting the time to hospital discharge for infants
ISSN:0031-4005
1098-4275
DOI:10.1542/peds.2009-0810