Construction of a knowledge base for hierarchical prevention care of neonatal hypoglycemia based on risk prediction model / 中国实用护理杂志

ABSTRACT

Objective:To build the standardized knowledge base for hierarchical prevention care of neonatal hypoglycemia based on the risk prediction model of neonatal hypoglycemia, and to provide a decision-making basis for risk management to achieve predicitive neonatal hypoglycemia.Methods:Based on the best evidence summarized in strategies for the prevention and management of neonatal hypoglycemia published in 2020, evidence on the prevention and management of neonatal hypoglycemia was searched from BMJ Best Practice, UpToDate, Registered Nurses Association of Ontario, CNKI and other domestic and foreign databases and professional association websites. The retrieval period was from September 1, 2019 to August 31, 2022. The quality of newly included literature was evaluated, new evidence was extracted, and the best evidence in the prevention and management strategy of neonatal hypoglycemia published in 2020 was summarized and combined to form the first draft of the knowledge base. Experts in the field of neonatal nursing were invited to revise and discuss each item of the knowledge base, and the final draft of the knowledge base was formed. The final draft of the knowledge base was coded using the 2.5 version of the Clinical care classification system as the standardized language.Results:The risk prediction model of neonatal hypoglycemia was used as a grading tool, the final draft of the knowledge included 1 nursing diagnosis, 6 modules and 18 specific preventive nursing measures.Conclusions:The knowledge base for hierarchical prevention care of neonatal hypoglycemia based on risk prediction model can realize the prospective hierarchical nursing of neonatal hypoglycemia, which is scientific and practical, and is the basis to assist nurses to make clinical decisions.