title: Who will be there to nurse? Retention of nurses nearing retirement.
abstract: OBJECTIVE
  To determine the impact on nursing work-force supply of delaying retirement.
  
  
  BACKGROUND
  The nursing workforce is aging, and the Baby Boomer generation is nearing retirement age. This potential loss of experienced nurses is likely to exacerbate current nursing shortages.
  
  
  METHODS
  An analysis of loss rates of nurses in New South Wales (Australia) is provided using 2 different retirement ages--58 and 65 years. Supply numbers were used and then "aged" to determine the impact of retirement on workforce numbers. The impact of potential retention strategies on the numbers who could be retained were determined if 100% of 50- to 55-year-old nurses was retained, 75% of those 56 to 60 years, and 50% of those 61 to 65 years.
  
  
  RESULTS
  By the year 2004, approximately 4139 nurses (registered and enrolled) will be lost through retirement at age 65 years. However, retirement at age 58 years sees 7328 lost by 2004. Potentially 2139 nurses in this age spectrum could be retained if strategies are focused on delaying retirement.
  
  
  CONCLUSIONS
  Delaying the retirement of nurses could provide a significant human resource, not only in terms of absolute numbers but more importantly, in terms of experience and expertise. However, retention of this portion of the workforce may require different strategies than for younger members of the workforce. The needs of this segment of the nursing workforce may require nurse administrators to consider different approaches to nursing work and work allocation.
authors.affiliation: Nursing Effectiveness, Utilization and Outcomes Research Unit, Faculty of Nursing, University of Toronto, 50 St. George Street, Toronto, Ontario M5S 3H4, Canada. l.obrien.pallas@utoronto.ca
authors.forename: Linda
authors.initials: L
authors.lastname: O'Brien-Pallas
authors.forename: Christine
authors.initials: C
authors.lastname: Duffield
authors.forename: Chris
authors.initials: C
authors.lastname: Alksnis
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D009517:New South Wales; D009726:Nurses / Q000706:statistics & numerical data / Q000600:supply & distribution*; D009743:Nursing, Practical; D010558:Personnel Loyalty; D010563:Personnel Turnover / Q000706:statistics & numerical data* / Q000639:trends; D012179:Retirement / Q000706:statistics & numerical data* / Q000639:trends; D000078329:Workforce; D016526:Workload