临床护士数字能力构成要素及模型构建
Construction of the components and model of digital competency in clinical nurses
张泽宇 1杨秀木 2赵爽 1邵瑜娇 1段小翠1
作者信息
- 1. 蚌埠医科大学护理学院,安徽蚌埠 233030
- 2. 蚌埠医科大学护理学院,安徽蚌埠 233030;蚌埠医科大学全科医学教育发展研究中心,安徽蚌埠 233030
- 折叠
摘要
目的 构建临床护士数字能力构成要素及模型,为提升我国临床护士数字能力提供依据.方法 于2023年3-5月,以胜任力理论、欧盟数字能力框架为指导,通过文献分析法、德尔菲法确定临床护士数字能力构成要素,采用层次分析法确定一、二级构成要素权重,最终形成临床护士数字能力模型.结果 共进行2轮专家咨询,咨询问卷有效回收率为94.44％和88.89％,专家权威系数分别为0.83和0.86.最终形成的临床护士数字能力构成要素包含5个一级构成要素(数字技术能力、信息与数据素养、数字交流与创新、数字价值与追求、基本人格特质)和15个二级构成要素.结论 构建的临床护士数字能力构成要素及模型科学、合理,符合实际工作需要,可为临床护士数字能力的自我提升和培训提供理论和实践依据.
Abstract
Objective To construct the components and model of clinical nurses'digital competence,so as to pro-vide a basis for the training of clinical nurses'digital competence in China.Methods From March to May 2023,guided by the competency theory and the EU digital competency framework,the components of clinical nurses'digital com-petency were determined through literature analysis and Delphi method,and the weights of primary and secondary components were determined by hierarchical analysis to finally form the model of clinical nurses'digital competency.Results A total of 2 rounds of expert consultation were conducted,and the effective recovery rates of the consultation questionnaires were 94.44％and 88.89％,and the expert authority coefficients were 0.83 and 0.86,in which the fi-nally formed clinical nurses'digital competence components contained 5 first-level(digital technology competence,in-formation and data literacy,digital communication and innovation,digital value and pursuit,basic personality traits)and 15 second-level components.Conclusion The constructed digital competence components and model of clinical nurses are scientific,reasonable,and in line with the actual work needs,providing theoretical and practical basis for the self-improvement and training of clinical nurses'digital competence.
关键词
数字能力/构成要素/护士/德尔菲法Key words
digital competency/components/clinical nurses/delphi method引用本文复制引用
基金项目
安徽省教育厅质量工程项目(2022msgzs034)
蚌埠医科大学科研课题(2023byfy142sk)
出版年
2024
NETL
NSTL
万方数据