Purpose This study aimed to investigate the relationship between socio-cognitive mindfulness, job stress, social support, and turnover intention among general hospital nurses and identify the factors influencing nurses’ turnover intention.
Methods A descriptive survey was conducted among 218 nurses from five general hospitals located in G metropolitan city. The participants completed a questionnaire measuring the study variables, and the data were analyzed using t-tests, ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression analysis in SPSS/WIN 28.0.
Results Significant differences were found in turnover intention by gender (t=-2.12, p=.036), family type (t=-3.09, p=.002), work department (F=7.01, p<.001), and work type (t=2.55, p=.011). Socio-cognitive mindfulness was positively related to social support (r=.331, p<.001), and turnover intention was positively related to job stress (r=.347, p<.001). The factors influencing nurses’ turnover intention included job stress (β=.317, p<.001), work department (artificial kidney room: β=-.287, p=.004; emergency room: β=-.219, p=.015), social support (β=-.183, p=.005), and work type (shift work: β=.170, p=.036), respectively. These factors explained 23.4% of the variance.
Conclusion The findings indicate the need to develop programs to effectively cope with job stress and implement mentoring systems or psychological support programs to reduce turnover intention among nurses at the organizational level.
Purpose This study aimed to confirm the mediating effects of transition shock on the relationships among grit, social support, and retention intention of new graduate nurses. Methods A total of 174 new graduate nurses were recruited from a university hospital and a general hospital. The data were collected between November and December 2022 and analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Scheffé test, Pearson’s correlation coefficient, Baron and Kenny’s three-step regression analysis, and the PROCESS Macro Model 4. Results Nurses’ retention intention was positively correlated with grit (r=.56, p<.001) and social support (r=.48, p<.001) and negatively correlated with transition shock (r=-.56, p<.001). The mediating analysis revealed that transition shock mediated the relationship between grit and retention intention as well as between social support and retention intention. Conclusion Based on the findings, an intervention program should be developed to reduce transition shock in new graduate nurses to increase their intention of retention.
Purpose This study aims to find ways to reduce the reality shock of newly graduated nurses by exploring the relationship between nursing practice readiness, social support from clinical nurse educators, and reality shock. Methods From August 24 to September 13, 2023, data were collected from 134 newly graduated nurses with less than 12 months of clinical experience, who were trained by clinical nurse educators at one general hospital and two tertiary hospitals in I City and G Province. The data were analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Pearson’s correlation coefficient, and hierarchical multiple regression with the SPSS/WIN 28.0 program. Results Reality shock was negatively correlated with nursing practice readiness (r=-.50, p<.001) and social support (r=-.19, p=.03), while nursing practice readiness was positively correlated with social support (r=.37, p<.001). Nursing practice readiness was identified as a significant predictor of reality shock in newly graduated nurses (β=-.46, p<.001), accounting for 31% of the variance in reality shock (F=18.82, p<.001). Conclusion To alleviate the reality shock of newly graduated nurses, it is important to improve their practice readiness and ensure systematic, continuous education for clinical nurse educators.
Purpose This study aimed to understand the relationships between depression, post-traumatic stress, job demands, and social and organizational support among nurses working at general hospitals during the COVID-19 pandemic and to identify the factors influencing depression. Methods Data were collected from 240 nurses using a self-reported questionnaire between April 28 and May 7, 2023. Data were analyzed using descriptive statistics, an independent t-test, one-way ANOVA, Scheffé’s test, Pearson's correlation coefficient, and multiple regression. Results The mean scores for depression and post-traumatic stress were 15.49 and 17.90, respectively. Approximately 43% nurses experienced depression. Depression was positively related to job demands and post-traumatic stress and negatively related to social and organizational support. Multiple regression showed that post-traumatic stress (β=.33, p<.001), social support (β=-.30, p<.001), and job demands (β=.21, p<.001) explained 26.4% of the variance for nurses’ depression. Conclusion These findings indicate that efforts are needed to mitigate depression and post traumatic stress among nurses, even after the COVID-19 pandemic. Programs that can enhance social support and reduce post-traumatic stress and job demands are needed to prevent and decrease depression. In particular, hospitals and the government must prepare for national disasters, such as new infectious diseases, to reduce job demands.
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 This study aimed to identify the effects of job stress, social support, and infection control fatigue on professional quality of life among nurses in designated coronavirus disease 2019 (COVID-19) hospitals. Methods As a descriptive study, data were collected from 157 nurses working at four designated COVID-19 hospitals employing self-report questionnaires. The data were collected from September 1 to September 30, 2021, and analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson’s correlation coefficients and stepwise multiple regression analysis. Results Job stress, marital status and social support affected compassion satisfaction with the professional quality of life, showing 30% of explanatory power. Job stress and social support affected burnout with the professional quality of life, showing 34% of explanatory power. Infection control fatigue affected secondary traumatic stress in the professional quality of life and the explanatory power was 11%. Conclusion Efforts are needed to improve nurses' professional quality of life by preparing and applying interventions to reduce job stress and improve social support for nurses working in hospitals dedicated to COVID-19. Further, nursing efforts and institutional support will be needed to reduce infection control fatigue.
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Purpose A descriptive survey-based study was undertaken to determine how emotional intelligence mediates the relationship between social support and resilience by clinical nurses, thereby providing primary data for improving resilience. Methods This study involved a descriptive survey of 202 nurses working in four general hospitals. Using SPSS/WIN 26.0, frequency analysis, descriptive statistics, and multiple regression analyses were conducted. Results Social support had a statistically significant positive correlation with emotional intelligence (β=.49, p<.001) and resilience (β=.47, p<.001). Emotional intelligence showed a statistically significant positive correlation with resilience (β=.66, p<.001). Emotional intelligence was found to have a partial mediation effect on the relationship between social support and resilience (z=5.76, p<.001). Conclusion The study also discovered that social support and emotional intelligence are factors influencing clinical nurses' resilience. Furthermore, it evident that emotional intelligence has a partial mediating effect on the relationship between social support and resilience. Therefore, it is necessary to consider nurses’ emotional intelligence at the individual level to effectively improve resilience through social support.
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Purpose This descriptive correlation study explored the moderating effect of social support and coping in the correlation between experiences of verbal violence and turnover intention among operating room nurses.
Methods: The data collection for this study was conducted from July 22 to August 2, 2019, covering 213 operating room nurses working at six general hospitals. Data were analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Pearson’s correlation coefficient, and multiple regression with the SPSS/WIN 25.0 program.
Results: The mean scores on the experiences of verbal violence by doctors and nurses, social support, coping and turnover intention were 2.52, 2.33, 3.42, 2.61 and 3.90, respectively. Experiences of verbal violence by doctors (r=.21, p=.002) and nurses (r=.25, p<.001) showed a statistically significant positive correlation with turnover intention. In the relationship between the experiences of verbal violence and turnover intention, social support from coworkers (β=.80, p=.018) and coping (β=-.87, p=.005) had a moderating effect.
Conclusion: The experience of verbal violence among operating room nurses affects turnover intention; therefore, there is a need to reduce verbal violence at medical sites, support programs to encourage social support from coworkers, and an effective system to cope with verbal violence.
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Purpose This study was conducted to investigate the moderating effect of supervisor's support in relation to violence experience and organizational commitment among staff of special department nurses. Methods Participants in this study were nurses working in the emergency, operating and intensive care units of five general hospitals in B city. Data were collected from Aug. 6 to Sep. 14, 2018. Data were analyzed using t-test, ANOVA, Pearson's correlation coefficients and multi-group path-analysis. Results The organizational commitment showed a negative correlation with violence experience (r=-28, p<.001) and a positive correlation with supervisor's support (r=.27, p<.001). There was a negative correlation (r=-.37, p<.001) between violence experience and supervisor's support. As a result of verifying the moderating effect of supervisor's support in relation to violence experience and organizational commitment, there was no significant difference in the path between the high and low supervisor's support groups (∆x 2 =1.07, p=.300). Conclusion There was no buffering effect of supervisor's support in relation to violence experience and organizational commitment of nurses in special departments. Further research is needed to explore variables that show a moderating effect on the relationship between violence experience and organizational commitment.
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Purpose This was a descriptive study aimed at providing basic data on readaptation of hospital nurses after parental leave by exploring levels of parenting stress, co-worker support, and work-life balance and identifying factors affecting work-life balance. Methods A survey using a convenience sampling was conducted with 86 nurses who were within their first year reinstatement after parental leave. Structured questionnaires were used, including the above named main variables and other general characteristics. Data were collected from February to May, 2019 from three tertiary hospitals in Seoul. Data were statistically analyzed using independent t-test, one-way ANOVA, Pearson correlation coefficient, and multiple regression analysis. Results Work-life balance showed a statistical difference depending on the level of education; it showed negative correlations with commuting time and fatigue and positive correlations with the attitude to job rotation, health status, and quality of sleep. There was a negative correlation between parenting stress and work-life balance and a positive correlation between co-worker support and work-life balance. Work-life balance was influenced by fatigue, parenting stress, health status, and co-worker support in the regression model. Conclusion Parenting stress, co-worker support, health status and fatigue of nurses reinstated from parental leave should be improved to enhance their work-life balance.
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PURPOSE This study was done to construct and verify a model of turnover intention in clinical nurses, considering the effects of compassion fatigue, coping, social support, and job satisfaction. METHODS For this study a cross-sectional correlational design was used. Participants were 283 clinical nurses in four general hospitals. Data were collected using a questionnaire and were analyzed with descriptive statistics, Pearson correlation coefficient and path analysis. RESULTS The modified model of turnover intention had a good fit in this study. Turnover intention was influenced by job satisfaction, and job satisfaction was affected by workload, problem-focused coping, peer support, family-friend support and compassion fatigue. Compassion fatigue was associated with occupational trauma events, problem-focused coping and emotional-focused coping. Job satisfaction was the most important factors controlling nurse's turnover intention. CONCLUSION Findings show that job satisfaction, compassion fatigue, and traumatic events are important factors influencing turnover intention. Nurse managers try to manage job satisfaction, compassion fatigue, support, and coping for nurses, it could be expected making proper nursing circumstance.
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PURPOSE This study was done to elicit basic data for effective human resource management by identifying the relationships among job embeddedness, emotional intelligence, social support, and the turnover intention of Nurses. METHODS Research design was to build a hypothetical causal model between variables and to verify its fitness. The sample for this study was 283 nurses with careers of more than 6 months in one hospital of more than 800 beds located in Seoul. They agreed in writing and this study was approved by the Institutional Review Board. Data were analyzed using SPSS 18.0 and AMOS 18.0 program. RESULTS Differences in general characteristics for the variables were significant for age, marital status, education, work experience, job title, income, and department. Job embeddedness, emotional intelligence and social support were significantly correlated to turnover intention. Job embeddedness to emotional intelligence and social support showed positive effects and a negative effect to turnover intention. Emotional intelligence to turnover intention showed a positive effect, but social support was not significant. CONCLUSION Organizations should provide ways to minimize voluntary turnover of a competent workforce and demonstrate their competency. Also it should develop training and management programs to effectively utilize emotional intelligence.
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PURPOSE This study was done to identify the influence of nursing work environment and social support on multidimensional organizational commitment among nurses. METHODS The survey was conducted in August 2012 with self-report questionnaire. Participants were 480 registered nurses working in one general hospital. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression using SPSS/WIN(16.0). RESULTS The average scores were; for affective commitment 2.84, for continuance commitment 2.48, and for normative commitment 2.57. There were significant relationships between affective, continuance, normative commitment and sub-factors of nursing work environment and social support. The affective, continuance, and normative commitment were all influenced by 'staffing and resource adequacy' and 'nursing foundations for quality of care', sub-factors of nursing work environment. Distinctively, affective commitment was influenced by 'staffing and resource adequacy', nurses' age, 'nurse-doctor relations', 'supervisor's emotional support', 'nurse participation in hospital affairs', 'nursing foundations for quality of care', and 'supervisor's informational support', which explained 30.9% of variance in affective commitment(F=31.57, p<.001). CONCLUSION The findings show that programs which promote supervisors' emotional and informational support are important to enhance nurses' affective commitment. Also, it is necessary to improve nursing work environment to improve nurses' organizational commitment.
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