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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 3  |  Page : 182-188

Implementation of newborn early warning system in government hospital, United Arab Emirates


1 Department of Nursing Education, Al Rahba Hospital, Abu Dhabi, UAE
2 Neonatal Intensive Unit, Al Rahba Hospital, Abu Dhabi, UAE
3 Department of Paediatrics/Neonatal Intensive Care Unit, Al Rahba Hospital, Abu Dhabi, UAE

Correspondence Address:
Dr. Souher El Amouri
Department of Nursing Education, Al Rahba Hospital, Abu Dhabi
UAE
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jcn.JCN_132_19

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Significant morbidity and mortality might occur in neonates due to the absence of early warning system. The seriousness of this issue is due to the rapidity of neonates to become unwell if it is not recognized early. Although usefulness of early warning signs in adult and pediatric is well documented, there is paucity of information related to neonate, and in particular, in the Gulf region. Aims: The aim of this study is to discuss the implementation of newborn early warning system (NEWS) in government hospital, United Arab Emirates (UAE). Settings and Design: A quality improvement project was implemented. We used chart reviews and focus group feedbacks that were conducted in the neonatal intensive care unit (NICU) of one Government hospital in the UAE. Subjects and Methods: A 3-month retrospective and prospective chart reviews were conducted of babies admitted to the NICU by using an adapted tool (NEWS chart NHS Plymouth Hospitals). Statistical analysis was used mainly frequency and percentages and themes for qualitative data. Results: Out of 171 babies from a retrospective study, 104 (60.8%) had risk factors and 67 (39.2%) had no risk factors. A total of 50 babies from risk factors and 14 from no risk factors were admitted to the NICU. Out of 191 babies from a prospective study, 138 (72%) had risk factors and 53 (28%) had no risk factors. Overall, 73 babies from risk factors and 18 from no risk factors were admitted to the NICU. Conclusions: This new tool helped to identify babies at risk and with abnormal physiological parameters at an early stage. It also facilitates to intervene appropriately before complications occur.


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