Roughton Susan E
Healthgrades, Inc., Denver, Colorado, USA.
Nurs Educ Perspect. 2013 Jul-Aug;34(4):217-25. doi: 10.5480/1536-5026-34.4.217.
This study identified characteristics and perceptions of nursing faculty that best predict their intentions to leave their faculty positions.
The inadequate supply of nursing faculty is a situation that requires immediate intervention, yet evidence on factors associated with nurse faculty intent to leave their faculty positions is sparse.
Survey data from 4,118 nurse faculty teaching in pre-licensure and graduate nursing education programs were analyzed. A conceptual model was designed to reflect six domains of factors contributing to the nurse faculty shortage and intent to leave.
Two distinct multivariate models of characteristics and perceptions were determined to predict nursing faculty's intent to leave in the next year (n = 16) and next five years (n = 17).
To address predictors of nurse faculty intent to leave, data-driven strategy recommendations based on the six domains model of contributing factors are presented. These strategies represent a small but important step in the process of resolving the nurse faculty shortage.
本研究确定了最能预测护理教师离职意向的特征和看法。
护理教师供应不足的情况需要立即干预,但关于与护理教师离职意向相关因素的证据却很少。
分析了来自4118名在执照前和研究生护理教育项目中授课的护理教师的调查数据。设计了一个概念模型来反映导致护理教师短缺和离职意向的六个因素领域。
确定了两个不同的多变量特征和看法模型,以预测护理教师在明年(n = 16)和未来五年(n = 17)的离职意向。
为解决护理教师离职意向的预测因素,提出了基于六个因素领域模型的数据驱动策略建议。这些策略是解决护理教师短缺过程中虽小但重要的一步。