Document Type
Poster
Associated Faculty
Valerie Herbert
Sponsoring Academic Department
Nursing
Publication Date
10-25-2022
Abstract/ Summary
The purpose of this project is to explore if pairing (P) new grad nurses (I) with a similar personality nurse preceptor (C) as compared to a randomly assigned nurse preceptor (O) improves retention rates (T) over a 24-month period? Nursing has been recognized as a highly stressful profession that can lead to early career burnout. New nurses have reported an intention to leave the profession due to high-stress levels from unrealistic career expectations. Studies have shown that having a supported, planned, and consistent residency program for new nurses will increase retention of the nurses at the beginning of their careers. A search of research articles examining new graduate nurses was conducted, and twelve articles were chosen. The search included articles from 2017 to 2022 on the electronic databases CINAHL, PubMed, and PsychInfo. One key article was selected from 2012. The search terms included: new graduate nurse, preceptor, and personality. The inclusion criteria included article topics that focused on the quality training of new graduate nurses, factors influencing new graduate nurses' practice, and articles written between 2017-2022. Exclusion criteria were: older than 2012, done on individuals that were not new graduate nurses, and any studies that did not focus on factors influencing the practice of new graduate nurses. Research shows that improved retention of new graduate nurses is related to the similarity of personality between the new graduate nurse and the nursing preceptor.
Repository Citation
Littlefield, Rebekah B.; Kelsey, Courtney; and Howrey, Sophia, "Improving Retention Rates of New Graduate Nurses" (2022). Non-Thesis Student Work. 8.
https://digitalcommons.library.umaine.edu/student_work/8
Version
post-print (i.e. final draft post-refereeing with all author corrections and edits)
Improving Retention Rates of New Graduate Nurses PowerPoint
Final Abstract.docx (18 kB)
Abstract