摘要
目的基于数据挖潜思路对数据进行回顾性分析,旨在发现精神科护理不良事件的相关因素和变量之间的关联规则,为拟定精神科护理安全管理策略和风险预警机制提供科学依据。方法运用Apriori算法,以支持度、置信度和提升度为指标,对2016年—2021年某精神病专科医院上报的684例护理不良事件的影响因素变量进行关联挖掘。结果设置最低条件支持度为5,最小规则置信度为85%,最大前项数为3,得到关联规则共90条,经专业判断,最终选择16条关联。其中,科室、护士班次和当班人力、患者总数、患者年龄、性别和住院天数均与跌倒/坠床不良事件有关联;患者总数、精神症状、住院天数、性别和当班护士年龄与暴力攻击不良事件关联;患者的精神症状与自杀地点有关联。结论采用数据挖潜技术,可以深入分析精神科护理不良事件相关因素之间的关联规则,发现精神科护理不良事件发生的规律和特点,为针对性地开展精神科护理风险管理提供科学依据;针对不良事件的关联规则拟定风险预警机制,对于保障患者安全、减少精神科护士职业伤害有一定指导意义。
Objective To identify the association rules between factors and variables of adverse events(AEs)in psychiatric nursing through data mining,so as to provide a scientific basis for the development of safety management strategies and risk early-warning mechanisms in psychiatric nursing.Methods Factors and variables of 684 AEs in psychiatric nursing in a mental health center from 2016 to 2021 were analyzed using the Apriori algorithm,with support,confidence and lift as indicators.Results With a minimum conditional support of 5,a minimum rule confidence of 85%,and a maximum number of antecedents of 3,and a total of 90 association rules were obtained,and 16 were finally selected after professional judgment.Among them,department,nurse shift/on-duty manpower,total number of patients,patient age,gender,and length of hospital stay were associated with falls/bed falls;total number of patients,psychiatric symptoms,length of hospital stay,gender,and age of on-duty nurses were associated with violent assaults;and psychiatric symptoms were associated with suicide sites.Conclusions The data mining technology can be used to thoroughly analyze the association rules between the factors associated with AEs in psychiatric nursing,discover the rules and characteristics of psychiatric nursing AEs,and provide a scientific basis for the targeted development of psychiatric nursing risk management,which are valuable for ensuring patient safety and reducing occupational injuries of psychiatric nurses.
作者
唐迎雪
王梦佳
张芮
王娟
卢庆华
Tang Yingxue;Wang Mengjia;Zhang Rui;Wang Juan;Lu Qinghua(Shandong Secend Medical University,Weifang 26100,Shandong Province,China;Shandong Province Mental Health Center;Jining Medical College)
出处
《中国医疗管理科学》
2024年第1期81-87,共7页
Chinese Journal Of Medical Management Sciences
基金
山东省重点研发计划(软科学项目)(2020RKB14062)。
