Purpose: This study aimed to construct and validate a model of the quality of working life (QWL) among cancer survivors returning to work. Methods: A cross-sectional study was developed. Participants included 204 cancer survivors in the extended cancer survivor stage, 6 months after returning to work, who were treated at two tertiary hospital cancer centers. The data were analyzed with SPSS 22.0 and AMOS 20.0 for confirmatory factor analysis to assess the hypothesis fit and verify the hypothesis. Results: Factors affecting cancer survivors' quality of working liferesulted in cancer stigma and social support (explanatory power was 43.1%) and the model showed acceptable goodness of fit. In the final model, cancer stigma had a significant direct effect on social support and indirect effect on organizational health, employee health, and QWL. Additionally, social support had significant direct effect on organizational health, employee health and QWL. Conclusion:Based on the results of this study, there is a need to develop strategies and effective intervention programs that can increase the support of supervisors and colleagues for improving overall quality of work life. Furthermore, the development of policies and intervention programs to reduce cancer stigma for the purpose of transforming perceptions through education and public relations which are indirect factors that affect the quality of work life, can contribute to improving the quality of work life for cancer survivors.

Based on this study's results, enhancing social support and grateful disposition could help nursing students who experience anger resulting from life stress to manage their anger effectively. This finding suggests that, as specific strategies for anger management, nursing educators should encourage nursing students to use sources of social support and to engage in various gratitude activities.

Background and objectives: Identifying factors that affect self-care according to low, middle, and high self-care levels among elderly patients with diabetes is the best way to prevent various life-threatening complications, and this can be accomplished by using an individualized approach to improve self-care. A quantile regression model is beneficial for estimating such factors because it allows the consideration of the entire conditional distribution of a dependent variable as it relates to independent variables. The objective of this study was to identify factors that affect self-care among elderly patients with diabetes using quantile regression. Materials and Methods: A cross-sectional survey of elderly patients with diabetes was conducted using the Self-Care Scale and six other related scales at three medical health centers in South Korea. Results: In the 10% quantile, the factors affecting self-care were age, smoking within the past six months, being educated about diabetes, depression, knowledge related to diabetes, self-efficacy, diabetes distress, and family support. Additional factors were as follows: age, smoking within the past six months, self-efficacy, and diabetes distress in the 25% quantile; age, self-efficacy, perceived health status, and diabetes distress in the 50% quantile; age, self-efficacy, perceived health status, and diabetes distress in the 75% quantile; and self-efficacy and perceived health status in the 90% quantile. Conclusions: Based on the results of this study, suggestions include providing education for sub-groups incapable of self-care, teaching stress management strategies, and increasing family support. In addition, for individuals capable of self-care, simplified programs that consist of self-efficacy improvement and stress control strategies are necessary.

Purpose: This study was conducted to develop and examine the effects of a nursing education program using virtual reality to enhance clinical decision-making ability in respiratory disease nursing care by assessing students’ confidence in performance, clinical decision-making ability, practice flow, class evaluations, and simulation design evaluations.Methods: This study was developed based on the Jeffries simulation model and 5E learning cycle model, blending a virtual reality simulation and high-fidelity simulation. The participants were 41 third-year nursing students with no virtual reality and simulation education experience. The experimental group (n=21) received the virtual reality program, while the control group (n=20) received traditional simulation education. Data were collected from March 8 to May 28, 2021 and analyzed using SPSS version 27 for Windows.Results: Statistically significant differences were found between the experimental group and the control group post-intervention in confidence in performance (F=4.88, p=.33) and clinical decision-making ability (F=18.68, p＜.001). The experimental group showed significant increases in practice flow (t=2.34, p=.024) and class evaluations (t=2.99, p=.005) compared to the control group.Conclusion: Nursing education programs using virtual reality to enhance clinical decision-making ability in respiratory disease nursing care can be an effective educational strategy in the clinical context.

Standard precautions protect patients and nurses from infection. Nevertheless, compliance with standard precautions is lower among emergency department nurses than other nurses. We examined the individual and organizational factors that influence emergency department nurses’ compliance with standard precautions via a cross-sectional study. A self-reported questionnaire survey was administered to 140 nurses working in nine emergency departments in South Korea. It included items regarding ethical awareness and standard precaution self-efficacy at the individual level as well as safety environment, organizational culture for infection control, and degree of compliance with standard precautions at the organizational level. Individual and organizational predictors were identified using a multilevel analysis. The results indicated that 81.1% of nurses’ compliance with standard precautions was influenced by individual differences, while only 18.9% was influenced by organizational differences. Individual- and organizational-level predictors explained 46.7% and 55.4% of the variance in emergency department nurses’ compliance with standard precautions, respectively. Emergency department nurses’ compliance with standard precautions was predicted by ethical awareness and standard precaution self-efficacy at the individual level and by organizational culture for infection control at the organizational level. Our findings provide evidence for the need to improve facilities and human resource management as well as the organizational culture for infection control.