METHOD: A descriptive, and cross-sectional design using Brook's quality of nursing work life questionnaire (self-reported) and Porter's anticipated turnover scale was implemented to collect data from 430 randomly selected Malaysian nurses in a teaching hospital's medical, surgical, and special units. The data were analyzed using the structural equation model smart partial least squares and Statistical Package for Social Sciences software services.
RESULTS: The nurses had a moderate level of quality of work life and high level of turnover intention. Sex, number of children, and work wards/units had a moderating effect on turnover intention, after its interaction with quality of work life (p < .05).
CONCLUSION: The study findings highlighted the factors having a moderating effect on turnover intention after its interaction with quality of work life . This knowledge is beneficial for providing guidance to nursing leaders or healthcare departments in hospitals to improve nurses' quality of work life and decrease their turnover intention. Addressing and understanding the demands and needs of nurses in the work environment and the family structure within a quality of work life could affect nurse's retention, leading to a decrease in their turnover intention.
METHOD: A cross-sectional study was conducted among 350 nurses in a teaching hospital via a self-administered questionnaire between May to October 2019. Descriptive analysis, independent t-test, analysis of variance, and hierarchical multiple regression were used to analyze the data using Statistical Package for Social Sciences software version 25. In addition, a The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used as guide in reporting the results of this study.
RESULTS: Almost all the nurses (98%, n = 343) had a positive perception toward the electronic medical record system, though their perceptions significantly differ across work units, computer or laptop ownership, and daily time spent on the system (all p < .05). Nurses who had received training reported better satisfaction with the system.
CONCLUSION: Among the issues highlighted by the participants that warrant attention were system development and connectivity. This study, therefore, emphasizes the involvement of nursing personnel in system development to ensure an appropriate approach for nursing care delivery.
METHOD: This was a descriptive cross-sectional design study. Data were collected from 25 to 31 December 2022, at six hospitals in Sichuan province. Using convenience sampling, a total of 717 participants were recruited, using the revised version of the Maslach Burnout InventoryGeneral Survey, and the Resilience Assessment Scale for healthcare workers.
RESULTS: More than half of nurses reported a moderate level of emotional exhaustion (66.50%, n = 484), cynicism (68.20%, n = 489), and personal accomplishment (68.76%, n = 493); nearly one-third and one-fourth of nurses experienced a high level of emotional exhaustion (27.48%, n = 197) and cynicism (20.78%, n = 149), respectively. In resilience, the highest scoring dimension was interpersonal connectedness, followed by decisional coping, flexible self-adaptation, and rational thinking. Satisfaction with work income, patient-nurse conflict, frequency of overtime work, age, and marital status were significant factors influencing burnout among nurses (p < .05).
CONCLUSION: The findings of the study enlighten nursing administrators on the level of burnout and resilience and associated factors among nurses during the peak of coronavirus disease 2019 infection in China. This would be of immense help in planning a welfare program to support the nurses.