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Area of Science:

  • Nursing
  • Healthcare Management
  • Workforce Retention

Background:

  • New nurse retention is a significant challenge in healthcare.
  • Longitudinal studies on factors influencing new graduate nurse retention are scarce.
  • Understanding the career transition of new nurses is vital for the profession's future.

Purpose of the Study:

  • To identify factors influencing new graduate nurse retention.
  • To develop a longitudinal prediction model for new graduate nurse retention.

Main Methods:

  • Secondary data analysis of the New Nurse e-Cohort Study (2020, 2022).
  • Classification and Regression Tree (CART) analysis to build a predictive model.
  • Categorization of participants into retention or turnover groups.

Main Results:

  • The study included 586 participants; 79% were retained.
  • Younger age, higher readiness for practice, lower transition shock, and better person-environment fit predicted retention.
  • The CART model achieved 79.7% predictive accuracy.

Conclusions:

  • Collaborative efforts between nursing educators and hospital managers are essential.
  • Strategies should focus on preparing students for practice, supporting socialization, and fostering professional values.
  • Transforming educational strategies and management policies can enhance new graduate nurse retention.