Purpose This study aimed to identify the influencing factors for work engagement of COVID-19 response workers in public health centers based on the JD-R model.
Methods The participants were 119 civil servants and professionals of 20 public health centers with at least 6 months of work experience and have experience of COVID-19 response tasks in cities, districts and counties. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficient and multiple regression using IBM SPSS 27.0.
Results The factors influencing work engagement were age, career development opportunity, and person-job fit. The explanatory power of these variables was 61%.
Conclusion In order to enhance the work engagement of public health center workers in responding to future infectious disease outbreaks, it is necessary to develop various strategies such as assigning job roles that aligned with individual characteristics, providing career growth opportunities even during infectious disease outbreaks, and designing tasks by taking into account age.
PURPOSE The purpose of this study is to identify factors influencing burnout in primary family caregivers of Home Health Care Patients. METHODS Data were collected from 121 primary family caregivers of home health care patients in three different hospitals in ‘D’ metropolitan city and the study was conducted from August 10, 2016 to January 17, 2017. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's Correlation Coefficient, Stepwise Multiple Linear Regression. RESULTS Mean scores for the nursing needs of the participants were 3.54±0.79, the family functions were 1.24±0.58, the burnouts were 2.74±0.49. The burnouts were positively correlated with the nursing needs but inversely correlated with the family function. The factor that had the greatest influence on the burnouts of primary family caregivers of Home Health Care was family function (β=−.245, p=.001), followed by patients' daily activity (β=−.213, p=.014), age (β=.208, p=.032), monthly nursing services cost (β=−.196, p=.044) and nursing needs (β=.129, p=.014). The Explanatory Power of Models was 23%. CONCLUSION Individually customized home care nursing intervention programs are required to be provided in accordance with patient's family function and daily activity, monthly home care nursing service cost, nursing needs and general characteristics of primary caregivers of Home Health Care Patients such as their age, the number of family members living together, sex and the name of disease.
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PURPOSE This study was to explore the level of health status, burnout, and burden of primary family caregivers of the elderly inpatients, and to identify the relations among the factors. METHOD The subjects were a total of 232 primary family caregivers of elderly in-patients at K and E Medical Center, and were surveyed from March 1 to April 10, 2007. Measures were a health status measuring tool based on CMI developed by Brodman et al. (1945), the burnout measuring tool developed by Pines et al. (1981), and the burden measuring tool revised by Jung, Soo-Jin (1998). Data were analyzed by SPSS-WIN 12.0. RESULTS Firstly, the mean of health status was 1.69, which means that they were mostly healthy, and the mean of burnout was 2.66, which means that they were a little burned out. The mean of burden was 2.71, which means that they were a little burdened. Second, there were high correlations between health status and burnout, between health status and burden, and between burnout and burden. Third, there were significant difference in health status and burnout according to sex and relationship, and in burden according to sex, education level and relationship. CONCLUSIONS Nurses need to consider the characteristics, health status, burnout, and burden of primary family caregivers.