TY - JOUR
T1 - Predictors of actual turnover in a national sample of newly licensed registered nurses employed in hospitals
AU - Brewer, Carol S.
AU - Kovner, Christine T.
AU - Greene, William
AU - Tukov-Shuser, Magdalene
AU - Djukic, Maja
PY - 2012/3
Y1 - 2012/3
N2 - Aim. This paper is a report of a study of factors that affect turnover of newly licensed registered nurses in United States hospitals. Background. There is a large body of research related to nursing retention; however, there is little information specific to newly licensed registered nurse turnover. Incidence rates of turnover among new nurses are unknown because most turnover data are not from nationally representative samples of nurses. Method. This study used a longitudinal panel design to obtain data from 1653 registered nurses who were recently licensed by examination for the first time. We mailed surveys to a nationally representative sample of hospital registered nurses 1year apart. The analytic sample consisted of 1653 nurses who responded to both survey mailings in January of 2006 and 2007. Results. Full-time employment and more sprains and strains (including back injuries) result in more turnover. Higher intent to stay and hours of voluntary overtime and more than one job for pay reduces turnover. When we omitted intent to stay from the probit model, less job satisfaction and organizational commitment led to more turnover, confirming their importance to turnover. Magnet Recognition Award ® hospitals and several other work attributes had no effect on turnover. Conclusion. Turnover problems are complex, which means that there is no one solution to decreasing turnover. Multiple points of intervention exist. One specific approach that may improve turnover rates is hospital policies that reduce strains and sprains.
AB - Aim. This paper is a report of a study of factors that affect turnover of newly licensed registered nurses in United States hospitals. Background. There is a large body of research related to nursing retention; however, there is little information specific to newly licensed registered nurse turnover. Incidence rates of turnover among new nurses are unknown because most turnover data are not from nationally representative samples of nurses. Method. This study used a longitudinal panel design to obtain data from 1653 registered nurses who were recently licensed by examination for the first time. We mailed surveys to a nationally representative sample of hospital registered nurses 1year apart. The analytic sample consisted of 1653 nurses who responded to both survey mailings in January of 2006 and 2007. Results. Full-time employment and more sprains and strains (including back injuries) result in more turnover. Higher intent to stay and hours of voluntary overtime and more than one job for pay reduces turnover. When we omitted intent to stay from the probit model, less job satisfaction and organizational commitment led to more turnover, confirming their importance to turnover. Magnet Recognition Award ® hospitals and several other work attributes had no effect on turnover. Conclusion. Turnover problems are complex, which means that there is no one solution to decreasing turnover. Multiple points of intervention exist. One specific approach that may improve turnover rates is hospital policies that reduce strains and sprains.
KW - Hospital injury
KW - Nurses
KW - Nursing staff turnover
KW - Organizational commitment
KW - Registered nurse
KW - Working conditions
UR - http://www.scopus.com/inward/record.url?scp=84856784475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856784475&partnerID=8YFLogxK
U2 - 10.1111/j.1365-2648.2011.05753.x
DO - 10.1111/j.1365-2648.2011.05753.x
M3 - Article
C2 - 22092452
AN - SCOPUS:84856784475
SN - 0309-2402
VL - 68
SP - 521
EP - 538
JO - Journal of Advanced Nursing
JF - Journal of Advanced Nursing
IS - 3
ER -