摘要
目的了解安徽省三级甲等医院临床护士循证护理能力现状,基于随机森林模型分析其影响因素,为制订临床护士循证护理能力干预策略提供参考。方法采用便利抽样法,于2022年10—12月,对安徽省4所三级甲等医院550名临床护士采用一般资料调查表、循证护理能力评定量表、信息素养量表、临床护理人员创新能力评价量表进行横断面调查,利用随机森林模型对变量进行重要性评价,应用套索回归分析完成变量筛选,通过逐步多元线性回归分析探究临床护士循证护理能力的影响因素。结果回收有效问卷543份。543名临床护士中男55名,女488名,年龄(32.34±6.93)岁,循证护理能力总分为(45.49±21.18)分,信息素养总分为(73.50±10.47)分,创新能力总分为(126.78±21.99)分。随机森林模型和套索回归分析显示,变量数为8时模型拟合最佳,重要性排序位于前8位的变量依次为信息素养(25.78%)、创新能力(22.37%)、每月夜班数(9.91%)、学历(9.19%)、英语水平(8.44%)、职称(6.71%)、有无科研创新经历(5.17%)、职业态度(4.50%)。逐步多元线性回归分析显示,信息素养、创新能力、英语水平是临床护士循证护理能力的主要影响因素(t=9.17、7.31、2.52,均P<0.05)。结论安徽省三级甲等医院临床护士循证护理能力水平有待提升。护理管理者可从提升临床护士信息素养层面出发,加大信息检索能力与英语能力的培训,增强其英文文献阅读技巧,并重视临床护士创新能力的培养,激发临床护士的创新意识与思维,制订并实施针对性干预措施,以逐渐提高临床护士循证护理能力水平。
Objective To investigate the status of evidence-based nursing competence among clinical nurses in tertiary grade A hospitals of Anhui province,and analyze the influencing factors based on random forest model,so as to provide reference for improving the evidence-based nursing ability of clinical nurses and formulating intervention strategies.Methods The convenience sampling method was used to select 543 clinical nurses from 4 tertiary grade A hospitals in Anhui Province from October to December 2022.The general data questionnaire,Evidence-based Nursing Competence Scale,Information Literacy Scale,and Nurse Innovation Ability Scale were used to investigate.The random forest model was used to evaluate the importance of the influencing factors.The Lasso regression analysis was used to complete the screening of the influencing factors.The influencing factors of the evidence-based nursing competence among clinical nurses were explored by multiple linear regression analysis.Results A total of 543 valid questionnaires were retrieved.Among 543 clinical nurses,55 males and 388 females,aged(32.34±6.93)years old.Evidence-based nursing competence scored(45.49±21.18)points,information literacy scored(73.50±10.47)points,innovation ability scored(126.78±21.99)points.The random forest model and Lasso regression analysis showed that the model achieved the best fit with 8 variables.In order of importance,the top 8 variables were information literacy(25.78%),innovation ability(22.37%),night shift per month(9.91%),educational background(9.19%),English proficiency(8.44%),professional title(6.71%),scientific research and innovation experience(5.17%),and professional attitude(4.50%).Multiple linear regression analysis showed that information literacy,innovation ability,and English proficiency were the influencing factors of evidence-based nursing competence among clinical nurses(t=9.17,7.31,2.52,all P<0.05).Conclusions The level of evidence-based nursing ability among clinical nurses in tertiary grade A hospitals of Anhui province ne
作者
许栋
王茜
徐贵霞
赵龙
张曼玉
王一新
Xu Dong;Wang Xi;Xu Guixia;Zhao Long;Zhang Manyu;Wang Yixin(School of Nursing,Bengbu Medical University,Bengbu 233030,China;Department of Nursing,First Affiliated Hospital of Bengbu Medical University,Bengbu 233004,China)
出处
《中国实用护理杂志》
2024年第18期1395-1402,共8页
Chinese Journal of Practical Nursing
基金
安徽高校人文社科重点研究项目(SK2019A0195)
蚌埠医学院护理学院研究生科研创新项目(HLYC2202)。
关键词
护士
循证护理能力
随机森林模型
影响因素
Clinical nurses
Evidence-based nursing competence
Random forest model
Influencing factors
