Predicting New Graduate Nurses’ Retention during Transition Using Decision Tree Methods: A Longitudinal Study
Taewha Lee,
Yea Seul Yoon,
Yoonjung Ji
Abstract:Background. Although retaining new nurses is imperative for the future of the nursing profession, it remains a challenging task in the healthcare industry. Understanding the career journey of new graduates as they transition from students to nurses is vital. However, longitudinal studies investigating the factors influencing retention during this period are lacking. Aim. The aim of this study is to identify the influencing factors and develop a longitudinal prediction model for new graduate nurse retention. Me… Show more
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