临床护士教育者对护士教育和能力算法的评估:一种定性研究
Vincenza Coughlin1, Benjamin Bass2, Gail Geraghty2
1NYU Langone Hospital-Long Island, Mineola, New York.
纽约大学兰贡健康护理教育和能力算法 (NE-CA) 有助于区分护理能力和教育. 焦点小组证实了它对护士教育者和利益相关者在指导临床实践中的有用性.
科学领域:
- 护理教育 护理教育
- 临床能力 临床能力
- 医疗保健专业发展
背景情况:
- 区分护理能力与临床医疗保健教育是复杂的.
- 纽约大学兰贡医疗护理教育和能力算法 (NE-CA) 是为了帮助识别能力而创建的.
- 该算法旨在澄清教育与护理方面的表现能力之间的关系.
研究的目的:
- 探索与应用NE-CA相关的主题.
- 收集医疗保健专业人员关于使用NE-CA的见解.
- 为了验证NE-CA在护理实践中的作用.
主要方法:
- 采用了定性研究设计.
- 用焦点小组收集数据.
- 为了确定与NE-CA使用有关的关键主题,引发了对话.
主要成果:
- 出现了四个主要主题:算法,能力,能力评估过程和教育.
- 定性发现突出了这些主题的相互联系.
- 该研究确定了NE-CA实施的重点领域.
结论:
- 焦点小组的发现支持NE-CA在临床环境中的适用性.
- 临床护士教育者,注册护士和组织利益相关者可以从NE-CA中受益.
- NE-CA是指导护理能力和教育的宝贵工具.
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