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- W3028943919 abstract "ObjectiveTo explore the effect of advanced hierarchical training based on Benner theory on nurses' core competence and post competency.MethodsA total of 499 nurses were selected to participat in the training from January 2016 to December 2017. They were divided into before-training group and after-training group, the training method was based on the advanced hierarchical training model of energy level under the guidance of Benner′s theory.The nurse′s core competence, post competency, and nursing satisfaction were compared.ResultsThe ratings of nurses′ critical thinking and research, clinical nursing, ethics and legal practice, professional development and education consultation (34.21±4.56), (30.12±5.25), (27.12±5.24), (25.46±4.52), (26.24±4.21), (20.21±3.56), (23.12±5.24) points in after-training group were significantly higher than in before-training group (28.36±4.12), (26.45±4.52), (26.72±4.52), (25.12±4.12), (24.50±3.25), (18.65±3.12), (20.24±4.65) points (t=7.308-21.264, P<0.05 or 0.01). The scores of nurses' professional knowledge, professional skills, professional ability, and overall quality (72.32±9.21),(93.24±12.35), (43.34±4.12), (54.20±4.23) points were significantly higher than before training (68.25±8.32), (86.42±10.21), (41.05±5.24), (52.12±5.25) points (t=6.892-9.507, P<0.05 or 0.01), and patient satisfaction 92.67%(12 164/13 126) was significantly higher than before training 88.68% (11 106/12 524) (χ2=121.409, P<0.01).ConclusionThe advanced level-stratified training model based on Benner theory is helpful to promote the development of nurses′ core competence and post competency, and improve patient satisfaction.Key words: Nursing management; Advanced level; Stratified training; Core competencies; Post competency" @default.
- W3028943919 created "2020-06-05" @default.
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- W3028943919 date "2019-01-11" @default.
- W3028943919 modified "2023-09-23" @default.
- W3028943919 title "Application of nursing clinical ladder program based on Benner theory in nurses′ stratified training" @default.
- W3028943919 doi "https://doi.org/10.3760/cma.j.issn.1672-7088.2019.02.012" @default.
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