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护士隐性知识共享现状及影响因素分析

Current situation and influencing factors of tacit knowledge sharing among nurses
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摘要 目的:了解护士隐性知识共享的现状,并分析影响因素。方法:采用便利抽样法,于2023年3-6月选取长沙市3所三级甲等医院的437名护士为研究对象,采用一般资料调查表、隐性知识共享量表、护士个人-组织契合量表和职业倦怠量表进行调查。采用R软件randomForest程序包构建随机森林模型,对隐性知识共享影响因素的重要性进行排序;采用LASSO分析进行变量选择,将筛选出的变量采用多重线性回归分析进行影响因素分析。结果:共发放问卷437份,回收有效问卷434份,问卷有效回收率为99.31%(434/437)。434名护士的隐性知识共享量表得分为(13.09±3.03)分。随机森林算法结果显示,重要性排序前4位的自变量分别为职业倦怠、职称、工作年限和个人-组织契合度。多重线性回归分析结果显示,职业倦怠、职称、个人-组织契合度是护士隐性知识共享的主要影响因素( P<0.01)。 结论:护士的隐性知识共享水平有待提高,护理管理者可通过降低护士职业倦怠程度、完善职称晋升制度和提高个人-组织契合度的途径提升护士的隐性知识共享水平。 ObjectiveTo explore the current situation of tacit knowledge sharing among nurses and analyze its influencing factors.MethodsFrom March to June 2023,convenience sampling was used to select 437 nurses from three ClassⅢGrade A hospitals in Changsha as the research subject.The survey was conducted using the General Information Questionnaire,Tacit Knowledge Sharing Scale,Person-Organization Fit Assessment Scale for Nurses,and Maslach Burnout Inventory.The R software randomForest package was used to construct a random forest model and rank the importance of factors influencing tacit knowledge sharing;LASSO analysis was used for variable selection,and the selected variables were analyzed for influencing factors using multiple linear regression.ResultsA total of 437 questionnaires were distributed,and 434 valid questionnaires were collected,with an effective response rate of 99.31%(434/437).The Tacit Knowledge Sharing Scale score of 434 nurses was(13.09±3.03).The random forest algorithm showed that the top four independent variables in importance ranking were occupational burnout,professional title,working years,and person-organization fit.Multiple linear regression analysis indicated that occupational burnout,professional title,and person-organization fit were the main influencing factors of tacit knowledge sharing among nurses(P<0.01).ConclusionsThe tacit knowledge sharing among nurses needs to be improved.Nursing managers can enhance the tacit knowledge sharing among nurses by reducing their professional burnout,improving the system of professional title promotion,and enhancing the fit between persons and organizations.
作者 刘婷 潘晓彦 邓婷婷 皮海燕 Liu Ting;Pan Xiaoyan;Deng Tingting;Pi Haiyan(School of Nursing,Hunan University of Chinese Medicine,Changsha 410208,China)
出处 《中华现代护理杂志》 2024年第7期931-936,共6页 Chinese Journal of Modern Nursing
基金 湖南省普通高等学校教学改革研究项目(HNJG-2021-0593)。
关键词 护士 隐性知识共享 随机森林模型 现状 影响因素 Nurses Tacit knowledge sharing Random forest Current situation Influencing factors
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