Evidence map›Paper›PMID 39716159›Full record

ArticleBMC medical informatics and decision making2024

Development and evaluation of a clinical nursing decision support system for the prevention of neonatal hypoglycaemia.

Qiaoyan Liu, Lulu Sun, Jie Yang, Wei Yin, Songmei Cao

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Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Qiaoyan LiuDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Lulu SunDepartment of Neonatology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Jie YangDepartment of Information, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Wei YinDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Songmei CaoDepartment of Nursing, The Affiliated Hospital of Jiangsu University, No 438 North Jiefang Road, Jingkou District, Zhenjiang, 212000, Jiangsu Province, China. caosongmei75@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypoglycaemia is one of the most common complications during the neonatal period. Recurrent hypoglycaemia episodes can result in neurodevelopmental deficits and even sudden death. Available evidence indicates that healthcare professionals ought to promptly assess the risk of hypoglycaemia in newborns immediately following birth and formulate the most suitable preventive strategies. Consequently, this study was designed to develop a clinical nursing decision support system for neonatal hypoglycaemia prevention based on the prediction model for neonatal hypoglycaemia risk that was developed in a previous study, and to evaluate its efficacy.

methodsNursing process as the theoretical framework, based on evidence-based nursing, standardized nursing language, and clinical decision support technology, the neonatal hypoglycaemia prevention nursing decision support system was developed.This system was implemented in the neonatology department of a tertiary grade A general hospital from September 1st to 30th, 2023.The application efficacy of the system was assessed and compared through the examination of the incidence of neonatal hypoglycemia, adverse outcomes associated with neonatal hypoglycemia, and the experiences of nurses following the implementation of the system.

resultsThe incidence of neonatal hypoglycaemia decreased after the system was implemented, and the difference was statistically significant (X

conclusionThe neonatal hypoglycaemia prevention nursing decision support system realizes neonatal hypoglycaemia risk assessment, intelligent decision-making, and effect evaluation, effectively diminishes the incidence of neonatal hypoglycaemia, and enhances the standardization of neonatal hypoglycaemia management.

Indexed as

Decision Support Systems, ClinicalHypoglycemiaFemaleHumansInfant, NewbornMaleNeonatal NursingRisk AssessmentClinical nursing decision support systemKnowledge baseNeonatal hypoglycaemiaRisk assessment

Identifiers

PMID39716159
PMCPMC11664828

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