A number of models have been developed to explain nurses' turnover behavior. The common theme that emerges from these models is that turnover behavior is a multistage process that includes attitudinal, decisional, and behavioral components. The purpose of this study .
See Full PDF See Full PDFInternational Journal of Nursing Studies
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Journal of Professional Nursing
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Research in Nursing & Health
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International Journal of Nursing Studies
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International Journal of Environmental Research and Public Health
The World Health Organisation predicts a lack of 15 million health professionals by 2030. The lack of licenced professionals is a problem that keeps emerging and is carefully studied on a global level. Strategic objectives aimed at stimulating employment, improving working conditions, and keeping the nurses on board greatly depends on identifying factors that contribute to their turnover. The aim of this study was to present a conceptual model based on predictors of nurses’ turnover intention. Methods: A quantitative, non-experimental research design was used. A total of 308 registered nurses (RNs) took part in the study. The Multidimensional Work Motivation Scale (MWMS) and Practice Environment Scale of the Nursing Work Index (PES-NWI) were used. Results: The conceptual model, based on the binary regression models, relies on two direct significant predictors and four indirect significant predictors of turnover intention. The direct predictors are job satisfaction (OR = 0.23) and ab.
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Nursing and Health Sciences
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Longitudinal data on 1,091 registered nurses in seven hospitals were used to estimate a causal model of turnover in organizations. Total effects on turnover were found to be the greatest for four determinants: intent to stay, opportunity, general training, and job satisfaction. The relative importance of the determinants of turnover and the explanatory power of the model are presented and discussed.
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Private hospitals in India are preferred by people inspite of their higher cost, a reason for its preference is quality of care. Quality care is delivered by health-workers among whom nurses form a major group. Organizational turnover is high among nurses, to frame a proper retention policy their turnover intentions need to be understood. Studies in several countries indicate there are several antecedents and mediators of turnover intentions. India is culturally different from those countries, hence keeping in view the cultural variation the present study was made to analyze the influence of different factors on turnover intentions of nurses. The study found organizational support, nursing role stress, and core self-evaluation play a significant role in predicting turnover intentions and affective commitment mediates their relationship. The study also found that turnover intentions of nurses from Kerala (India) differ from those of other Indian states. This study shall help healthcare administrators to devise appropriate retention policy for nurses. Limitations of this research, academic and managerial implications are also discussed.
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