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机构地区:[1]南京医科大学护理学院,210029 [2]南京医科大学附属口腔医院口腔颌面外科,210029 [3]南京医科大学第一附属医院护理部,210029 [4]江苏省中西医结合医院神经内科,南京210029
出 处:《中华现代护理杂志》2016年第33期4858-4862,共5页Chinese Journal of Modern Nursing
基 金:南京医科大学(优势学科二期)“健康促进护理协同创新中心”建设项目(JX21831803/004).
摘 要:目的构建专科护士临床带教老师核心能力的指标体系,为其选拔、培训、考核、评价与管理提供参考和依据。方法2016年1—7月采用德尔菲法对来自行政管理、护理管理、护理教育、临床护理领域的21位专家进行2轮咨询,确定专科护士临床带教老师核心能力评价指标,并用优序图法计算各指标的权重。结果最终确立的评价指标包括临床实践能力、教学能力、科研能力、专业发展能力、组织管理能力、评判性思维能力6项一级指标,19项二级指标,52项三级指标。二轮专家的积极系数分别是91.3%,100%,专家的平均熟悉程度为0.971,专家的平均权威系数0.943,二轮协调系数分别为0.319,0323(P〈0.01)。结论专科护士临床带教老师核心能力评价指标的专家意见趋于一致,研究结果客观、可信度较高,为今后对该群体的培养、资格准入及考评体系的构建奠定了基础并提供了依据。Objective To construct an index system for evaluating the core competence of clinical teachers, and provide a scientific and objective basis for the selection, training, assessment and management of elinieal teachers. Methods Delphi method was used to conduct two rounds of consultation among 21 experts of administrive management, nursing management, nursing education and clinical nursing fields from January 2016 to July 2016. Core competence evaluation index for clinical teachers of specialty nurses was set up and the weights of indexes in all levels were assigned. Results The evaluation indexes finally set up contained 6 first- grade indexes such as clinieal practice ability, teaching ability, scientific research ability, professional development ability, organization and management ability and critical thiking ability; 19 second-grade indexes and 52 third-grade indexes. The active coefficients of experts in two rounds were 91.3% and 100%; the mean degree of familiarity of experts was 0.971 ; the mean authority coefficient was 0.943 ; and the cooperation indexes of two rounds were 0.319 and 0.323 (P〈0.01). Conclusions The opinions of experts are reasonable and the results are credible. Combind with the results of previous studies, this study constructs the index system for evaluating the core competence and enriches the clinical nursing teaching theory. This study provides a solid foundation for further constructions of evaluation systems in the future.
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