Purpose This study aimed to explore the effects of presenteeism, burnout, and nursing performance on intention to retention among nurses of an intensive care unit in one tertiary hospital.
Method The data were collected from from July 1 to July 31, 2023, from 172 nurses at intensive care units. Data were analyzed using the SPSS/WIN 26.0 program.
Results A four-step hierarchical regression model, including control variables, presenteeism, burnout, and nursing performance, accounted for 44.9% of the factors influencing intention to retention. Burnout (β=-.54, p<.001), nursing performance (β=.21, p=.002), health problem (β=-.07, p=.040), and experience of turnover (β=-.16, p=.008) were identified as the significant predictor of intention to retention. Model III, which adds burnout, has a significant 23.5%p increase in explanatory power over Model II, indicating that burnout has the strongest impact on intention to retention.
Conclusion For enhancing the intention to retention of the intensive care nurses, it is necessary to provide a systematic strategy and support to increase the performance of nurses and to try to reduce the burnout and health problems of nurses.
Purpose This study aimed to examine the differences in COVID-19 work-related characteristics, workload, anxiety, stress, and burnout between nurses working in the COVID-19 designated units and those in the general units caring for both COVID-19 and non-COVID-19 patients and to identify factors related to burnout in these two nurse groups. Methods The study was conducted using data from 192 nurses in the COVID-19 designated units and 340 nurses in the general units from two general hospitals. The data were collected using self-report, structured questionnaires.
Independent t-test, chi-squared test, and logistic regression analysis were performed. Results There were no significant differences observed in workload and burnout between the two groups. For nurses in the general units, workload, stress, adequacy of the number of patients assigned, and the experience of temporary, floating staff were significant factors associated with burnout, while only clinical experience in the current unit was a significant factor among those in the COVID-19 units. Conclusion Findings indicate significant differences in factors related to burnout between the two nurse groups. Thus, substantial support and strategies tailored to the working environments of each nursing unit are required to prevent burnout among nurses caring for COVID-19 patients.
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Purpose This study aimed to confirm the mediating effect of social responsibility on the relationship between nurses' stress and burnout from coronavirus disease (COVID-19) in tertiary general hospitals. Methods For this descriptive cross-sectional study, online survey data from 193 nurses in three tertiary general hospitals were analyzed. Data were collected from March 30 to April 4, 2021. The following statistical analysis were conducted: t-test, ANOVA, Scheffé test, Pearson's correlation coefficient analysis, and Hayes Process Macro Model 4 (to test the mediating effect). Results COVID-19 stress was positively associated with burnout (r=.28, p<.001) and social responsibility (r=.22, p=.002). Social responsibility was negatively associated with burnout (r=-.31, p<.001). Furthermore, the mediation analysis indicated that social responsibility mediated the relationship between COVID-19 stress and burnout. Conclusion According to the results, the impact of COVID-19 stress on the burnout was mediated by social responsibility. Therefore, to prevent the burnout from COVID-19 of nurses, developing educational programs to enhance social responsibility are recommended.
Purpose The aim of this study was to explore the causes and effects of burnout experienced by insurance review nurses working in hospitals.
Methods: Data were collected from April to May, 2021, using focus group interviews. The study enrolled 19 insurance review nurses with at least one year of experience. Data were analyzed using the content analysis method.
Results: Causes of burnout were divided into three categories: eight subcategories (feeling of insufficient competence in an insurance review, closed mind in a limited working space, incompetency from other departments, harsh words and deeds that exclude me, insurance cuts controlling my work performance, cloudy mind chased by the billing date, ineffective hospital information systems, and question with no answer) and 23 causes. The impact of burnout was divided into three categories: six subcategories (experiencing mental and physical symptoms, projecting one’s feelings into family or neglecting them, withdrawing myself, wearing a mask, decreased work performance, and desiring to leave one’s work), and 14 concepts.
Conclusion: This study provides basic data for strategy development to prevent and solve burnout problems among insurance review nurses. It is important to develop programs and policies to solve the burnout problem of insurance review nurses in the future.
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Methods: A total of 196 nurses caring for patients with respiratory infections from nine hospitals in Korea participated in this study. Data were collected through a structured, self-administered survey that included general characteristics, risk perception of respiratory infections, infection control fatigue, positive psychological capital, and burnout.
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PURPOSE This study was done to: (a) identify levels of emotional labor that nursing students perceived when caring for patients in the hospital during their nursing practicum, (b) examine the impact of emotional labor on burnout, and (c) identify the possible moderating effect of emotional intelligence on the relationship between emotional labor and burnout for nursing students. METHODS A descriptive study was conducted with a sample of 171 students enrolled in a 4-year undergraduate nursing program in one university located in Korea, and had a practicum experience at least one semester before the study began. Data were collected with self-report questionnaire, and analyzed with SPSS 21.0 program, using hierarchical multiple regression. RESULTS Mean score for emotional labor was 3.17 with a range of 1 to 5. For nursing students, emotional labor significantly affected burnout in the nursing practicum (F=15.763, p<.001), and explained 30.1% of the variance in burnout. The degree of emotional intelligence acted as a moderator on the relationship between emotional labor and burnout at significant level (F=15.345, p<.001). CONCLUSION This research shows that nurse managers as well as nurse educators need to pay attention to nursing students' emotional labor during nursing practicum in the care units of hospitals.
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PURPOSE The purpose of this study was to ascertain current status of nurses' perception, nursing performance, job stress, and burnout in relation to the Joint Commission International (JCI) hospital accreditation and to verify the relationships among these variables. METHODS This cross-sectional study was performed using questionnaires. Data were collected from 220 nurses who worked at one hospital from April 5 to May 4, 2013. RESULTS The scores for perception, nursing performance, job stress and burnout in relation to the JCI hospital accreditation were(on a five-point Likert scale) 3.23, 4.01, 3.56 and 3.40 respectively. A positive correlation was observed between perception and nursing performance. Burnout was negatively correlated with perception and nursing performance, and positively correlated with job stress. CONCLUSION These results indicate that developing positive perception and reduced burnout in relation to the JCI hospital accreditation can produce good nursing performance. These findings can be utilized to develop strategies for reducing job stress and burnout in relation to the JCI hospital accreditation.
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PURPOSE The purpose of this study was to identify the effects of work stress, compassion fatigue and compassion satisfaction on burnout in clinical nurses. METHODS The sample consisted of 268 nurses from two general hospitals located in Seoul and Gyunggi province. Data were analyzed using frequencies, percentages, means and standard deviations, t-test, ANOVA, Scheffe, Pearson Correlation and Hierarchial Multiple Regression. RESULTS Compassion fatigue had a significant positive effect on burnout, while Compassion satisfaction had a negative effect on burnout. The explained variance for burnout was 49% and compassion satisfaction was the most significant factor in burnout of nurses. CONCLUSION The results indicate that the factors influencing nurses' burnout are work stress, compassion fatigue and compassion satisfaction. Therefore strategies to decrease work stress and compassion fatigue and to enhance compassion satisfaction for nurses are needed.
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