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 This study aims to identify the factors-along the lines of fatigue, nursing professionalism, and the work environment-that affect the nursing of COVID-19 patients by nurses at a designated COVID-19 hospital in Korea. Methods Data were collected from March 7 to March 31, 2022 via structured questionnaires submitted by 162 nurses, and analyzed using t-test, ANOVA, Scheffé test, Pearson correlation, and hierarchical regression analysis. Results In model 1, the variables among the general characteristics which significantly affect nursing intention are “6 months to less than 1 year of nursing experience for severe COVID-19 patients” (β=.29, p=.001), “having the volition to provide nursing support for future COVID-19 patients” (β=0.28, p<.001), and the “intention according to the hospital situation”(β=.35, p<.001). In model 2, fatigue (β=-.18, p=.007) and nursing professionalism (β=.43, p<.001) affect nursing intention. The total explanatory power of Model 2 is 47.0% (F=16.93, p<.001, R2 =.47). Conclusion To increase nursing intention for COVID-19 patients, intervention strategies should reduce nurses’ fatigue and introduce competency-strengthening programs as to improve nursing professionalism.
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Purpose Nurses’ burnout is at risk due to increased of respiratory infections and their high demand and expectations. This study aimed to identify the factors that influence burnout among nurses caring for patients with respiratory infections.
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.
Results: Burnout was significantly positively correlated with infection control fatigue and significantly negatively correlated with positive psychological capital; burnout was not significantly related to risk perception of respiratory infections. Infection control fatigue, positive psychological capital and total career significantly influenced burnout. These variables accounted for 38% of the burnout among nurses caring for patients with respiratory infections.
Conclusion: Evidence-based guidelines are needed to support the ability of nurses with little experience in responding to infectious diseases and reducing infection control fatigue and providing effective educational programs at institutions that can improve the positive psychological capital of individual nurses.
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PURPOSE This study was done to verify relationships among occupational stress, labor intensity, fatigue and musculoskeletal disorder symptoms, and especially to identify factors influencing musculoskeletal disorder symptoms among hemodialysis nurses in tertiary hospitals. METHODS A cross-sectional design was used, with a convenience sample of 125 hemodialysis nurses from 13 tertiary hospitals. Data were collected through self-evaluation questionnaires during July and August, 2018. Data were analyzed using t-test, χ² test, factor analysis and binary logistic regression analysis with SPSS/WIN 25.0 program. RESULTS Of the hemodialysis nurses 96 (76.8%) were in the musculoskeletal symptomatic group and 29 (23.2%) in asymptomatic group. Occupational stress (p < .001), labor intensity (p < .001), and fatigue (p=.011) were higher in the symptomatic group compared to the asymptomatic group. Logistic regression analysis showed that occupational stress (OR=1.13, 95% CI: 1.03~1.25), labor intensity (OR=5.60, 95% CI: 1.25~24.97), no leisure life or hobbies (OR=4.67, 95% CI: 1.48~14.80), hemodialysis unit career 2~4 year (OR=4.58, 95% CI: 1.04~20.78), and hemodialysis unit career 8+ year (OR=14.10, 95% CI: 2.53~78.64) were effect factors for the musculoskeletal symptomatic group. CONCLUSION For effective improvement of musculoskeletal disorder symptoms in hemodialysis nurses, multidimensional intervention programs are needed. Programs should include occupational stress, labor intensity and strategies to reduce symptoms.
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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 identify the effects of Type D personality on compassion fatigue, burnout, compassion satisfaction, and job stress in clinical nurses. METHODS A descriptive cross-sectional design was used. Data were collected from a convenience sample of 172 clinical nurses working in two tertiary hospitals. The structured questionnaires included Type D personality scale, compassion fatigue, burnout, compassion satisfaction, and job stress scales. RESULTS About 79.7% of participants were classified as Type D personality group. The Type D personality was not related to general characteristics of clinical nurses. The Type D personality group showed statistically significant higher compassion fatigue, burnout, and job stress and lower compassion satisfaction compared to the non-Type D personality group. In addition, compassion fatigue and burnout were positively correlated with job stress and compassion fatigue was positively correlated with burnout. However, compassion satisfaction was negatively correlated with burnout. CONCLUSION As the prevalence of Type D personality is high in clinical nurses, it is necessary to assess stress-related personality. In addition, management for the nurse with Type D personality is required to alleviate compassion fatigue, burnout, and job stress and to improve compassion satisfaction.
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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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