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Should I stay or should I go? Career change and labor force separation among registered nurses in the U.S

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  • Nooney, Jennifer G.
  • Unruh, Lynn
  • Yore, Michelle M.

Abstract

Efforts to retain nurses within the profession are critical for resolving the global nursing shortage, but very little research explores the phenomenon of nursing workforce attrition in the U.S. This study is the first to simultaneously investigate the timing of attrition through survival analysis, the exit path taken (career change vs. labor force separation), and the major socioeconomic, family structure, and demographic variables predicting attrition in this country. Using nationally representative U.S. data from the 2004 National Sample Survey of Registered Nurses (NÂ =Â 29,472), we find that the rate of labor force separation is highest after the age of 60, a typical pattern for retirement. However, a non-trivial proportion of career change also occurs at older ages (50+ years old), and the rate of labor force separation begins to climb at relatively young ages (30-40 years old). Particularly strong predictors of early labor force separation include being married and providing care to dependents in the home (young children or elderly parents). Career change is predicted strongly by higher levels of education, male gender, and current enrollment in a non-nursing degree program. Having an Advanced Practice credential reduced the hazards of attrition for both exit paths. The results suggest a fruitful path for future research and a number of policy approaches to curbing nurse workforce attrition.

Suggested Citation

  • Nooney, Jennifer G. & Unruh, Lynn & Yore, Michelle M., 2010. "Should I stay or should I go? Career change and labor force separation among registered nurses in the U.S," Social Science & Medicine, Elsevier, vol. 70(12), pages 1874-1881, June.
    • Handle: RePEc:eee:socmed:v:70:y:2010:i:12:p:1874-1881
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    References listed on IDEAS

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    1. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, vol. 25(4), pages 621-649, July.
    2. Rogowski, Jeannette & Karoly, Lynn, 2000. "Health insurance and retirement behavior: evidence from the health and retirement survey," Journal of Health Economics, Elsevier, vol. 19(4), pages 529-539, July.
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    1. Kristina Nyström & Gulzat Zhetibaeva Elvung, 2015. "New Firms as Employers: The Wage Penalty for Voluntary and Involuntary Job Switchers," LABOUR, CEIS, vol. 29(4), pages 348-366, December.
    2. Leone, Claudia & Bruyneel, Luk & Anderson, Janet E. & Murrells, Trevor & Dussault, Gilles & Henriques de Jesus, Élvio & Sermeus, Walter & Aiken, Linda & Rafferty, Anne Marie, 2015. "Work environment issues and intention-to-leave in Portuguese nurses: A cross-sectional study," Health Policy, Elsevier, vol. 119(12), pages 1584-1592.
    3. Martin Kroczek, 2024. "Analyzing nurses’ decisions to leave their profession—a duration analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(3), pages 471-496, April.

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