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Selected predictors of registered nurses' intent to stay
M L Fisher1, N Hinson, C Deets
1Indiana University School of Nursing, Indianapolis 46202-5107, USA.
Journal of Advanced Nursing
|November 1, 1994
Summary
Managerial environment and exit/voice significantly predict registered nurses' intent to stay. Managerial environment alone predicts intent to stay when neutral responses are included, offering avenues for intervention.
Area of Science:
- Nursing
- Organizational Psychology
- Healthcare Management
Background:
- Registered nurses' intent to stay (ITS) is crucial for healthcare stability.
- Factors influencing ITS require ongoing investigation to improve nurse retention.
- Autonomy, willingness to risk, exit/voice (E/V), and managerial environment (ME) are potential predictors of ITS.
Purpose of the Study:
- To investigate the predictive relationships of autonomy, willingness to risk, E/V, and ME on registered nurses' ITS.
- To analyze these relationships in a longitudinal study across eight Midwestern hospitals.
- To identify actionable factors for improving nurse retention.
Main Methods:
- Longitudinal study involving 524 staff nurses.
- Two logistic regression analyses were conducted to assess predictive relationships.
- Independent variables included autonomy, willingness to risk, E/V, and ME; the dependent variable was ITS.
Main Results:
- In the first analysis (neutral ITS grouped with no intent to stay), both ME and E/V were significant predictors of ITS.
- In the second analysis (neutral ITS grouped with intent to stay), only ME remained a significant predictor of ITS.
- The identified variables are amenable to managerial interventions, despite explaining a lower percentage of variance compared to some previous research.
Conclusions:
- Managerial environment and exit/voice are key factors influencing registered nurses' intent to stay.
- Managerial interventions targeting the work environment can potentially improve nurse retention.
- Further research should explore the nuances of these predictors in different healthcare settings.