Journal of Korean Academy of Nursing Administration
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v.22
no.5
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pp.562-569
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2016
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.
Purpose: This study was conducted to find out interrelation of health behavior and related variables to provide basic data for an effective health promotion for the taxi-divers. Methods: 293 male taxi-drivers from 2 cities in Korea participated in this study. The data were collected using questionnaires from April 17th to Jun 3rd, 2006, and analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression. Results: There were statistically significant differences according to monthly income, past illness or surgery, current disease or medication, frequency of fright on daily driving (FFDD), driving fatigue, working style, social support in health status; current disease or medication, FFDD, driving fatigue, duty shift, social support in health perception; body mass index (BMI), FFDD, driving fatigue, intention of changing job, social support in health behavior. Social support, health status, health perception, and health behavior were significantly correlated with one another. The multiple regression analysis showed that health perception (17.8%), BMI (6.8%), intention of changing job (5.7%), and driving fatigue (4.2%) explained the 34.5% variance of health behavior. And the 22.6% of variance of health perception was explained by social support (12.2%), health status (6.9%), and duty shift (3.2%). Conclusions: To promote the taxi-drivers' health, nursing intervention strategies unique for them should consider health behavior and affecting factors.
Purpose The purpose of this study is to investigate the factors which affect users' fatigue and reluctant intention of using a SNS. In particular, this study focused on the fatigue of SNS users, as the recent excessive use of SNS has led to negative effects such as invasion of privacy, addition and social overload. fatigue This research will explain how producing adverse effects by using SNS caused psychological and mental depression. Previous researches explained that mental fatigue associated with SNS is not simple one and it is complicated with various psychological factors. Considering this fact, this study introduced a behavioral economics concept and a social comparison theory in the research model. Design/methodology/approach For research purposes, this study developed research hypotheses in order to empirically examine the factors that affect SNS users' fatigue and reluctant intention. The empirical research was based on a poll done through 800 research candidates in the SNS fields and the final 451 responses were collected and used in statistical data analysis. The adaptability, trust, and validity to measurement model were verified and the structural relationship in the research model was analyzed through these 451 responses. Findings First of all, maintenance fatigue of SNS had a positive significant effect on coupling and fatigue of SNS and information privacy had a non-significant effect on fatigue. Second, coupling had a negative significant effect on rational inattention, however, perceived cost had a non-significant effect on rational inattention. Third, lateral/upward comparison had a positive significant on user's negative emotions. Meanwhile, user's negative emotions did not have a significant effect on rational inattention.
Purpose: The purpose of this study was to investigate post-traumatic stress, job stress, fatigue, and social support of nurses in direct care for COVID-19 patients and to identify the factors affecting post-traumatic stress among the nurses. Methods: The participants were 150 nurses from three hospitals. Data were collected from September 11, 2020 to September 21, 2020. The data were analyzed with SPSS/WIN/25.0 program. Results: The mean score of post-traumatic stress was 22.27±15.49 (range 0~88). The percentage of high risk group of post-traumatic stress was 35.3%, risk group was 20.0%, normal group was 44.7%. Post-traumatic stress showed statistically significant differences according to quarantined experience (t=2.15, p=.033), and provision of COVID-19 manual (t=-2.40, p=.026). Post-traumatic stress was positively correlated with job stress (r=.48, p<.001), and fatigue (r=.58, p<.001), and it was negatively correlated with social support (r=-.22, p=.005). Job stress was positively correlated with fatigue (r=.74, p<.001), and it was negatively correlated with social support (r=-.17, p=.030). Fatigue and social support (r=-.17, p=.029) had a negative correlation. The results of regression analysis showed that the factors affecting post-traumatic stress included fatigue (β=.56, p<.001), provision of COVID-19 manual (β=-.24, p<.001), and quarantined experience (β=.18, p=.006) and that the total explanatory power was 42.0%. Conclusion: In this study, fatigue, provision of COVID-19 manual, and quarantined experience were found as influential factors of post-traumatic stress among nurses in direct care for COVID-19 patients. Therefore, development of the intervention for reducing the fatigue should consider to prevent post-traumatic stress in nurses. Also, provision of COVID-19 manual for nurses and psychological intervention program for nurses experienced quarantine are necessary.
The Purpose of this study was to identify characteristics of fatigue and the relationship between fatigue and related factors in patients on hemodialysis. This study was a survey study using a cross-sectional design. The subjects for this study were 101 patients on hemodialysis who were registered in the six hemodialysis clinics among a total of eleven clinics in Seoul. The period of data collection was from February 28, 1995 to May 2, 1995. Data were collected through an interview with a structured packet and the physiological data. The tools used in this study were the Visual Analogue Scale-Fatigue developed by Lee et al(1990) and translated by Lee(1991), the fatigue interview schedule developed by this researcher, Zung's self rating depression scale(Zung, 1965), the self-efficacy scale developed by Sherer et al(1982) and the Norbeck Social Support Questionnaire(NSSQ) translated by Oh(1984). The collected data were analyzed using descriptive statistics(mean, standard deviation, frequency, range), Pearson correlation coefficients and Stepwise multiple regression. The results were as follows ; 1. Characteristics of Fatigue of hemodialysis patients : 1) 79 of 101 hemodialysis patients complained fatigue. 2) The mean fatigue score as measured by the VAS-F was 36.2mm. 3) The mean duration of fatigue was 2.9 hours 2. Characteristics of fatigue related factors : 1) The physiologic factor which included Hgb, Hct, BUN, creatinine, potassium and interdialytic weight gain deviated from normal range. 2) The psychological factor which included depression and self-efficacy was about the same level as for patients with other chronic diseases. 3) The environmental factor which included social support had wide variation. 3. The relationship between fatigue and related factors : 1) Interdialytic weight gain in the physiologica factor was the only valuable with fatigue (p<.05) 2) The relationship between fatigue and the psychological factor of depression showed a positive and strong correlation(p<.05). According to the findings of this study, fatigue was highly correlated with the depression. This indicates that nurses should try to assess and control psychological factors when patients complain of fatigue rather than just considering physiological factors. Nursing has to develop effective nursing interventions to reduce fatigue in patients with chronic diseases using the relationship between fatigue and physiological, psychological and environmental factors.
Purpose: The purpose of this study was to identify the effects of infection control performance, infection control fatigue, and social support on the burnout of nurses working at National Safe Hospitals during the coronavirus disease (COVID-19) pandemic, and to use that data to suggest methods to reduce burnout among nurses. Methods: From June 30 to September 30, 2021, data were collected from 144 nurses who both consented to participate in the study and had worked for more than six months in National Safe Hospitals with 300 or more beds in the Gyeonggi-do Province in Korea. Data were analyzed using multiple regression analysis. Results: The factors affecting nurses' burnout at National Safe Hospitals during the COVID-19 pandemic were found to be infection control fatigue (β=.60, p<.001) and social support (β=-.27, p<.001). The explanatory power of these factors was 37.0%. Conclusion: Nurses' burnout at National Safe Hospitals was found to be at a moderate level. Burnout should be reduced through human, material, and administrative support, all of which can reduce infection-control fatigue. It is also necessary to develop both a non-face-to-face social-support-reinforcement program, considering restrictions mandated by infectious-disease pandemics, and a long-term intervention strategy to prevent burnout.
Purpose: Maternal-fetal attachment in a pregnant woman is important for her health and for her child's emotional stability. This study was done to identify the contribution of maternal fatigue, social support, and Taegyo to maternal-fetal attachment based on a survey of pregnant women. Methods: The study was a descriptive correlation study. Participants were 211 from two women's health clinic centers. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression. Results: Mean scores for maternal-fetal attachment, Taegyo, maternal fatigue, and social support were 93.74 (range 25-125), 64.76 (17-85), 24.12 (10-40), and 54.43 (22-132), respectively. There were significant differences in maternal-fetal attachment according to parity, breast feeding experience, and putting prenatal education into practice. Multiple regression analysis showed that the key determinants of maternal-fetal attachment, were Taegyo (${\beta}$=.67), maternal fatigue (${\beta}$=.21), and social support (${\beta}$=.13), and these explained 55% of the total variance of attachment. Conclusion: The results suggest a need to encourage Taegyo in prenatal management program and provide methods for fatigue resolution and promotion of social support.
Purpose: The purpose of this study was to identify the reported factors influencing fatigue of middle aged women. Methods: Two hundred seven middle aged women between 40 and 59 years of age were recruited from five areas in Korea from March 1, 2010, to April 20, 2010. Data were collected by self-reported questionnaires. Data analysis was done using SPSS/WIN 15.0 program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: The average score of fatigue was $2.34{\pm}0.40$. There were significant differences in reported fatigue according to economic status and health status. The reported fatigue was significantly correlated with somatic attribution, psychological attribution, normalizing attribution, depression, marital adjustment, stress, and social support. The major factors that affect fatigue in middle aged women were stress, depression, and normalizing attribution, which explained 32.3% of fatigue. Conclusion: The findings can reduce the fatigue by controlling stress and depression. Additionally, this study can understand the attribution of fatigue in middle aged women. More studies are needed to identify other variables that influence on the fatigue of middle aged women.
Purpose This study investigates the associations between SNS fatigue and stress of smartphone SNS, with SNS characteristics. The study focuses on two types of SNS characteristics: information and systems characteristics. We examine SNS stress factors that includes the communication and system overload. Design/methodology/approach To test the proposed hypotheses, the study conducted structural equation modeling with Smart PLS 3.0. The study conducted A sample of 286 participants was collected from SNS users. Findings The results indicated that the information relevance in the information characteristics had an effect on the communication overload, but it had not an effect on the system overload. The information accuracy had an effect on the communication and system overload. The app pace of change influenced the communication and system overload, but the app complexity influenced the system overload. Finally, the SNS stress showed significant relationship with SNS fatigue. The academic and managerial implications were discussed based on the this results.
Quality of life(QOL) and fatigue in cancer patients receiving the radiotherapy was assessed. The subjects were 46 cancer patients who daily attended the radiotherapy department. Assessment was done on four occassions : the first assessment was done on the treatment simulation visit, the second one was four weeks after treatment started, the third one at the completion of treatment and the last assessment was done between six and eight week following treatment. The results are as follows : The fatigue scores of the patients at each stage of assessment ranged from 5.49 points to 7.67 points and highest score was recorded at the third assessment that is, at the completion of treatment. The fatigue points showed an increase from the 1st. to 3rd. stage. However, at the 4th. stage, fatigue points decreased to the level at the first stage of assessment. QOL were assessed in three areas namely, physical, emotional and social /functional. The QOL scores in the physical area showed the highest score, followed by social /functional and emotional areas. The QOL scores decreased gradually to the third. stage of assessment thereafter recovered to the level of the first. stage. Correlation between QOL and fatigue scores during the treatment indicated that the level of QOL decreased as the level of fatigue increased. In particular, fatigue persisted after completion of the treatment and showed a significantly negative correlation with QOL. The present study strongly suggests that a strategy to restore the emotional well being level of the patient should be devised in order to improve QOL and reduce fatigue of patients receiving radiotherapy.
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