Jihyun Kim | 3 Articles |
Purpose
This study was conducted to identify the factors influencing nurses’ intention to stay after coming back from parental leave. Methods This was a descriptive cross-sectional study. The participants were 175 female nurses working in hospitals with over 300 beds and returning after three months of parental leave. Data were analyzed using independent t-test, one-way ANOVA, Pearson’s correlation coefficient, and stepwise multiple regression. Results There were significant differences in intention to stay by age (t=2.65, p<.001) and position (t=-2.23, p=.027). Intention to stay was positively correlated with social support (r=.24, p<.001) and self-efficacy (r=.42, p<.001), and negatively correlated with work-family balance conflict (r=-.21, p=.004). Factors influencing intention to stay were self-efficacy (β=.94, p<.001) and work-family balance conflict (β=-.49, p=.005), with an explanatory power of 20%. Conclusion The findings allow for proposing that increasing nurses’ intention to stay may require self-efficacy improvements to enable nurses to adjust to their work environment, and hospitals should provide nurses with institutional support in order to reduce nurses’ work-family conflicts.
Purpose
To examine the characteristics, core variables, and their correlations in articles published in the Journal of Korean Academy of Nursing Administration (JKANA) from 2012-2021 and suggest future directions for nursing management research. Methods A total of 506 articles were analyzed according to study design, participants and setting, statistical methods, keywords, and core concepts and variables. Results Quantitative research accounted for 73.5%, and most participants were staff nurses (66.8%) and nursing students (9.1%). Furthermore, 318 studies (62.8%) conducted surveys, and settings were mainly acute hospitals(81.5%) and nursing schools (9.7%). Statistical methods for data analysis included independent t-test (81.2%), one-way ANOVA (77.2%), Pearson correlation coefficients (77.2%), post-hoc testing (74.3%), and linear regression(65.9%). Among 2,058 keywords, the most frequent were “nurses” (49.2%), “job satisfaction” (10.7%), and “personnel turnover” (9.1%). The most frequently core concepts were job satisfaction (10.5%), turnover intention(9.5%), organizational commitment (8.5%), and job stress (7.5%). The most frequently variables with significant correlations were turnover intention, work environment, job satisfaction, job stress, burnout, and emotional labor. Conclusion Most JKANA studies examined nursing-related outcomes and performance. Future research should examine the effects of nursing practice and policy on patient outcomes.
PURPOSE
This study was done to identify the effects and relationships of humor, job satisfaction, job stress and intent to turnover for nurses and suggest a theoretical structural path diagram among the variables. METHODS Data were collected at 6 hospitals located in Seoul, and Gyeonggi Province, from June to September, 2010. Participants were 275 nurses. Data were analyzed using Amos 19.0 for Structural Equation Modeling. RESULTS Humor had significant effects on job satisfaction (beta=.15, t=2.29, p=.022) and indirect effects on the intent to turnover in this model (chi2=44.18, df=23, RMSEA=0.05, TLI=0.97). But humor did not affect job stress unlike results of previous studies (t=-.02, p=.771). CONCLUSION Humor may not affect job stress under the very stressful conditions of the health care environment. The model showed the effect of humor contributed to increases in job satisfaction but did not decrease job stress. Higher levels of job satisfaction could decrease the intent to turnover. Consequently, humor would be helpful in increasing job satisfaction to diminish nurse turnover. Further studies are suggested to investigate causal relationships among humor, burnout, and other emotional and organizational variables. Citations Citations to this article as recorded by
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