Generational differences in registered nurse turnover

Policy Polit Nurs Pract. 2009 Aug;10(3):212-23. doi: 10.1177/1527154409356477. Epub 2009 Dec 20.

Abstract

The chronic nature of the nursing workforce shortage in the United States is a continuing concern. As the nationwide gap between supply and demand grows, it remains unknown what impact turnover will have on nursing, access to care, and efforts to improve quality and safety of health care. It also remains unclear whether the recent turnover trends among new graduate registered nurses differ from past generational cohorts of new nurses. The aims of this study were to identify the reasons why registered nurses turnover by generational cohort (Veterans, Baby Boomers, and GenXMs) and to compare the length of time nurses were employed in their first five nursing positions by generational cohort. The findings suggest the three generational cohorts displayed similar reasons for leaving nursing positions with relocation, career advancement, and personal/family reasons reported most frequently. Except for the first nursing position, significant generational effects were found in the length of time Veterans, Baby Boomer, and GenXMs stayed employed in their nursing positions. It remains unknown why the GenXMs displayed a significantly shorter length of employment time in their second, third, fourth, and fifth nursing positions. The decline in length of employment time displayed in both the Baby Boomers and GenXMs may be an issue of concern requiring future research.

Publication types

  • Comparative Study

MeSH terms

  • Age Factors
  • Analysis of Variance
  • Attitude of Health Personnel*
  • Career Mobility
  • Employment* / organization & administration
  • Employment* / psychology
  • Family / psychology
  • Female
  • Hawaii
  • Humans
  • Intergenerational Relations*
  • Male
  • Motivation*
  • Nursing Administration Research
  • Nursing Methodology Research
  • Nursing Staff* / organization & administration
  • Nursing Staff* / psychology
  • Personnel Turnover / statistics & numerical data*
  • Population Dynamics
  • Qualitative Research
  • Social Values
  • Surveys and Questionnaires
  • Time Factors