AUTHOR=Chu Liangliang , Liu Xiaoyi , Xu Cuiping 

TITLE=Eat, Sleep, Console model for neonatal opioid withdrawal syndrome: a meta-analysis

JOURNAL=Frontiers in Pediatrics

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2024.1416383

DOI=10.3389/fped.2024.1416383

ISSN=2296-2360

ABSTRACT=Abstract
Background: The rising incidence of drug abuse among pregnant women has rendered neonatal opioid withdrawal syndrome a significant global health concern. 

Methods: Databases including PubMed, Web of Science, Cochrane library, Embase, EBSCO, CNKI, and Wanfang were searched for comparative studies of the Eat, Sleep, Console model versus traditional assessment tools for neonatal opioid withdrawal syndrome. Two reviewers conducted literature searches, screened according to the inclusion criteria, extracted data, and verified accuracy independently. All meta-analyses were conducted using Review Manager Version 5.4.

Results: 18 studies involving 4639 neonates were included in the meta-analysis. The Eat, Sleep, Console model demonstrated superior outcomes in assessing neonatal opioid withdrawal syndrome, significantly reducing the need for pharmacological treatment (RR=0.44, 95%CI= 0.34 to 0.56, P<0.001), decreasing the length of hospital stay (MSD=-2.10, 95%CI= -3.43 to -0.78, P=0.002), and shortening the duration of opioid treatment (SMD=-1.33, 95%CI= -2.22 to -0.45, P=0.003) compared to the Finnegan Neonatal Abstinence Scoring System.

Conclusions: The Eat, Sleep, Console model is more effective than the Finnegan Neonatal Abstinence Scoring System in improving the assessment and management of neonatal opioid withdrawal syndrome.