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Predictors of Turnover Among Asian Foreign-Educated Nurses in Their 1st Year of US Employment
Hyo Geun Geun1, Richard W Redman, Marjorie C McCullagh
1Author Affiliations: Assistant Professor (Dr Geun), Department of Nursing, Chodang University, Muaneup, Jeollanamdo, Korea; and Professor Emeritus (Dr Redman) and Associate Professor (Dr McCullagh), School of Nursing, University of Michigan, Ann Arbor.
Objective:
The aim of this study was to investigate factors affecting turnover of Asian foreign-educated nurses (FENs), which may lead to improvements in retention strategies.
Background:
Asian FENs working in the United States have considerable rates of turnover. Little is known about which factors are related.
Methods:
A cross-sectional design was used. A convenience sample (n = 201) of Asian FENs completed surveys by regular mail and through a website. Backward multivariable logistic regression was performed to identify factors associated with turnover in their 1st year of employment.
Results:
Most participants were from the Philippines and Korea. Perceived quality of orientation predicted organizational-level turnover and trended toward predicting unit-level turnover.
Conclusions:
Healthcare institutions may benefit from developing organizational programs for FENs that are sensitive to their unique needs, in the interest of reducing rapid or early turnover and accompanying negative effects on hospital finances and patient care.
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