Predicting Successful Neonatal Retro-Transfer to a Lower Level of Care

Sarah N. Kunz; Dmitry Dukhovny; Jochen Profit; Wenyang Mao; David Miedema; John A.F. Zupancic

doi:10.1016/j.jpeds.2018.09.010

Predicting Successful Neonatal Retro-Transfer to a Lower Level of Care

Sarah N. Kunz, Dmitry Dukhovny, Jochen Profit, Wenyang Mao, David Miedema, John A.F. Zupancic

Pediatrics

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Up to 20% of newborn infants retro-transferred to a lower level of care require readmission to a higher-level facility. In this study, we developed and validated a prediction rule (The Rule for Elective Transfer between Units for Recovering Neonates [RETURN]) to identify clinical characteristics of infants at risk for failing retro-transfer.

Original language	English (US)
Pages (from-to)	272-276.e1
Journal	Journal of Pediatrics
Volume	205
DOIs	https://doi.org/10.1016/j.jpeds.2018.09.010
State	Published - Feb 2019

Keywords

convalescent care
neonatal regionalization
neonatal transport
newborn

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health

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10.1016/j.jpeds.2018.09.010

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title = "Predicting Successful Neonatal Retro-Transfer to a Lower Level of Care",

abstract = "Up to 20% of newborn infants retro-transferred to a lower level of care require readmission to a higher-level facility. In this study, we developed and validated a prediction rule (The Rule for Elective Transfer between Units for Recovering Neonates [RETURN]) to identify clinical characteristics of infants at risk for failing retro-transfer.",

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author = "Kunz, {Sarah N.} and Dmitry Dukhovny and Jochen Profit and Wenyang Mao and David Miedema and Zupancic, {John A.F.}",

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AU - Kunz, Sarah N.

AU - Dukhovny, Dmitry

AU - Profit, Jochen

AU - Mao, Wenyang

AU - Miedema, David

AU - Zupancic, John A.F.

PY - 2019/2

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N2 - Up to 20% of newborn infants retro-transferred to a lower level of care require readmission to a higher-level facility. In this study, we developed and validated a prediction rule (The Rule for Elective Transfer between Units for Recovering Neonates [RETURN]) to identify clinical characteristics of infants at risk for failing retro-transfer.

AB - Up to 20% of newborn infants retro-transferred to a lower level of care require readmission to a higher-level facility. In this study, we developed and validated a prediction rule (The Rule for Elective Transfer between Units for Recovering Neonates [RETURN]) to identify clinical characteristics of infants at risk for failing retro-transfer.

KW - convalescent care

KW - neonatal regionalization

KW - neonatal transport

KW - newborn

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Predicting Successful Neonatal Retro-Transfer to a Lower Level of Care

Abstract

Keywords

ASJC Scopus subject areas

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