研究生护理学生临床补救算法的开发和内容验证
Virginia Londahl Ramsey1, Tammy Sadighi1, Tito D Tubog2
1Florida Gulf Coast University, Fort Myers, FL, USA.
Journal of nursing measurement
|December 22, 2025
概括
一个新的研究生护理学生临床补救 (GNS-CR) 算法提供了一种标准化,透明的方法来解决临床缺陷. 这种经过验证的工具确保了研究生护理教育中的公平性和患者安全性.
科学领域:
- 护理教育 护理教育
- 临床绩效管理临床绩效管理
背景情况:
- 研究生护理课程需要针对临床缺陷管理的结构化流程.
- 当前的补救实践往往缺乏标准化和透明度,影响患者的安全.
- 在护理学生临床补救的系统方法中存在一个差距.
研究的目的:
- 开发和评估一个临床补救算法,用于管理在研究生护理学生不满意的临床表现.
- 通过结构化补救过程,加强研究生护理教育的公平性和患者安全性.
主要方法:
- 一个26项研究生护理学生临床补救 (GNS-CR) 算法是使用文献和专家输入开发的.
- 该算法经过了20名研究生护理教育专家的内容有效性审查.
- 内容有效性指数 (CVI) 计算在项目和规模层面.
主要成果:
- 项目级CVI分数在0.80至1.00之间.
- 规模级CVI为0.923,超过了公认的值.
- 专家反表明,该算法是明确的,逻辑结构和相关的.
结论:
- 该GNS-CR算法证明了强大的内容有效性.
- 它为研究生护理课程的临床康复提供了一种系统和透明的方法.
- 建议进行进一步的研究,以评估其在学术和临床环境中的有效性.
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