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Effects of Hospital Characteristics on Employment Rate, Working Period and Retirement of Ward Nurses in Korea: A Retrospective Cohort Study Based on HIRAS Data
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Hee-Jung Seo, Gi Yon Kim, Sei-Jin Chang
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J Korean Acad Nurs 2020;50(6):837-847. Published online December 31, 2020
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DOI: https://doi.org/10.4040/jkan.20190
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Abstract
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- Purpose
The purpose of this study was to investigate the effects of hospital characteristics on employment rate, working period, and retirement of ward nurses in Korea through a retrospective cohort study based on HIRAS data. Methods Data were obtained from a report on medical care institutions of Health Insurance Review & Assessment Service (HIRAS). Data from 259,941 nurses who were working for a day or more from January 1, 2012, to December 31, 2016, at 2,942 medical care institutions were analyzed. Life table method analysis, Kaplan-Meier analysis, and Cox proportional hazard regression analysis were conducted. Results The employment rates of 5 yeas and 10 years for the total sample were 38% and 28%, respectively. The estimated mean value of the working period was 3,642.7 days (SE: 17.4 days). Cox proportional hazard regression analyses revealed that nurses who were working at the general hospital/hospital, clinic, and nursing hospital were more likely to leave the hospital compared to those who were working at the 3rd general hospital.
Nurses who were working at the medical institutions which were located in cities and countries, established by the private foundation, rated lower levels of nursing, and owned an insufficient number of beds, nurses and doctors were more likely to leave their workplace compared to those of the counterparts. Conclusion This study indicates that hospital characteristics may play a significant role in retirement and working period of ward nurses in Korea. The improvement of hospital conditions to reduce ward nurses’ retirement are needed.
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Citations
Citations to this article as recorded by 
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Association between Emotional Labor, Emotional Dissonance, Burnout and Turnover Intention in Clinical Nurses: A Multiple-Group Path Analysis across Job Satisfaction
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Chi-Yun Back, Dae-Sung Hyun, Sei-Jin Chang
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J Korean Acad Nurs 2017;47(6):770-780. Published online January 15, 2017
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DOI: https://doi.org/10.4040/jkan.2017.47.6.770
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Abstract
PDF
- Abstract
Purpose
This study was conducted to investigate the influence of emotional labor, emotional dissonance, and burnout on nurse's turnover intention and examine the effect of job satisfaction on the relationships among emotional labor, emotional dissonance, burnout, and turnover intention.
Methods
The sample consisted of 350 nurses recruited from 6 general hospitals in 2 cities in Korea. A multiple-group analysis was utilized. Data were analyzed using SPSS statistics 23 and AMOS 20.
Results
In the path analysis, turnover intention was directly related to burnout in clinical nurses who had a high job satisfaction (b=.24, p=.003), while it was indirectly related to emotional dissonance (b=.13, p=.002). In the multiple-group path analysis, turnover intention was directly related to emotional dissonance (b=.18, p=.033) and burnout (b=.26, p=.002) for nurses with low job satisfaction.
Conclusion
These results indicate that manuals and guidelines to alleviate the negative effects of emotional labor, emotional dissonance, and burnout, and to increase job satisfaction are strongly required to reduce turnover intention in nurses at the organizational level as well as at the individual level.
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Chan-Young Kwon, Boram Lee, O-Jin Kwon, Myo-Sung Kim, Kyo-Lin Sim, Yung-Hyun Choi International Journal of Environmental Research and Public Health.2021; 18(19): 10111. CrossRef - The Experience of Emotional Labor and Its Related Factors among Nurses in General Hospital Settings in Republic of Korea: A Systematic Review and Meta-Analysis
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Hee-Jung Seo, Gi Yon Kim, Sei-Jin Chang Journal of Korean Academy of Nursing.2020; 50(6): 837. CrossRef - The Influence of Mistreatment by Patients on Job Satisfaction and Turnover Intention among Chinese Nurses: A Three-Wave Survey
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