Purpose: This study was conducted to verify fall predictive power and reasonable fall risk assessment tool by a comparative analysis of the sensitivity, specificity, positive forecast and negative forecast of each tool by applying Morse Fall Scale (MFS), Johns Hopkins Fall Risk Assessment Tool (JHFRAT), and Fall Assessment Scale-Korean version (FAS-K) through electronic medical records to adult patients hospitalized in a general hospital in Korea. Methods: We performed a retrospective evaluation study from January to December 2018, 123 fall groups experiencing falls during hospitalization and 123 non-falls groups were selected. Data presented a reasonable assessment tool that predicts and distinguishes fall high-risk patients through area comparison based on the ROC curve for each tool. Results: In the ROC curve analysis by fall risk assessment group, the AUC of MFS is shown to be .706 (good), JHFRAT is shown to be .649 (sufficient) and FAS-K is shown to be .804 (very good). FAS-K at a cut-off score of 4, sensitivity, specificity, and positive and negative prediction values were 83.7%, 60.2%, 67.8%, and 78.7%, respectively. Conclusion: Based on the above findings, it is believed that the FAS-K was presented as a suitable and reasonable tool for predicting falls for adult patients in general hospitals.

Purpose: The goals of this study were to identify the relationships among learning agility, grit, positive psychological capital, and nursing performance and to determine the impact of these factors on clinical nursing performance. Methods: Between November and December 2021, a descriptive survey design was conducted with a convenience sample of 260 clinical nurse participants from two regional hospitals. Data were collected using the Learning Agility Scale, Grit Scale, Psychological Capital Questionnaire, and the Nursing Performance Scale. Data from 248 nurses were analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Pearson's correlation, and multiple linear regression analysis using SPSS 27.0. Results: Results revealed significant positive correlations between nursing performance and learning agility, grit, and positive psychological capital. Stepwise multiple regression analysis identified positive psychological capital as the strongest predictor of nursing performance, followed by work experience, learning agility, grit, and educational level. These variables accounted for 51% of the variance in nursing performance. Conclusion: This study underscored the importance of positive psychological capital, learning agility, and grit in improving nursing performance. Healthcare organizations should prioritize the development of these attributes among nurses. Implementing strategies to enhance these factors in nursing practice and education could improve nursing performance, potentially resulting in better patient outcomes and increased job satisfaction. Future research should explore specific interventions to cultivate these qualities and assess their long-term impact on nursing practice.

Purpose: The goal of this study aimed to understand the factors influencing the empathy competence and moral sensitivity of nurses working in tertiary general hospitals who offered end-of-life care. Methods: Descriptive data were collected from self-reported questionnaires completed by 164 nurses with direct nursing care experience with end-of-life patients at two tertiary general hospitals located in Busan, Korea. The variables examined were empathy competence, moral sensitivity, and end-of-life care performance. Data were analyzed using SPSS version 27.0 software. Results: Participants scored 3.73±0.40 on empathy competence, 4.97±0.51 on moral sensitivity and 2.91±0.37 on end-of-life care performance. There was a significant positive correlation between empathy competence and end-of-life care performance, and between moral sensitivity and end-of-life care performance. The factors affecting nurses' end-of-life care performance, empathy competence and moral sensitivity, exhibited with an explanatory power of 31%. Conclusion: Programs to increase empathy competence and moral sensitivity should be developed to improve nurses' end-of-life care performance.

Purpose: This study investigated how distress and stigma affect the quality of life (QOL) in stroke patients. Methods: A descriptive research design was utilized with 150 stroke patients from three general and three long-term care facilities. Data were collected through an 86-item questionnaire from February 15 to April 10, 2023, using measures of distress, stigma, and QOL. Analysis was conducted using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis in SPSS/WIN 25.0. Results: The average QOL score was 156.37±38.27 out of 245 points. Factors affecting QOL of stroke patients were distress (β=-.56, p<.001), stigma(β=-.26, p<.001), biplegia (β=-.11, p=.045), and unemployment (β=-.10, p=.045), explaining 68% of the QOL variance. Conclusion: Programs aimed at reducing distress and stigma in stroke patients are essential for enhancing QOL. Effective strategies should address post-stroke physical and mental states, prevent complications, restore health, reduce anxiety, and leverage family and social support to mitigate stigma. Special attention is needed for stroke patients with hemiplegia and those who are unemployed.

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: This study was intended to evaluate the effect of nurse image, satisfaction with one's major and career decision-making self-efficacy on career preparation behavior of first-year nursing students. Methods: A total of 134 first-year nursing students were enrolled in this study. Data were collected from March 25 to April 5, 2024. Data collected prospectively were analyzed by t-test, ANOVA, Pearson's correlation coefficients, and multiple regression analysis. Results: Career preparation behavior showed a significantly positive correlation with nurse image (r=.28, p=.001), satisfaction with one's major (r=.41, p<.001) and career decision-making self-efficacy(r=.61, p<.001). Career decisionmaking self-efficacy showed a significantly positive correlation with nurse image (r=.59, p<.001), satisfaction with one's major (r=.70, p<.001). Satisfaction with one's major showed a significantly positive correlation with nurse image (r=.66, p<.001). Career preparation behavior was significantly affected by nurse in the family and relatives (β=-.21, p=.003) and career decision-making self-efficacy (β=.64, p<.001), which had an explanatory power of 41.0%. Conclusion: To establish career preparation behavior in first-year nursing students, it is necessary to develop a variety of systematic educational programs to enhance career decision-making self-efficacy.

Purpose: This study aimed to investigate the level of person-centered care, patient safety culture, and fall prevention behaviors of eldercare facility workers, and identify influencing factors. Methods: Data were collected from 185 care workers at eight eldercare facilities in City J from February 1 to March 25, 2022. The data were analyzed using SPSS/WIN 25.0. Results: The results indicated that the factors influencing fall prevention behaviors in older adults with dementia were person-centered care (β=.28, p=001), patient safety culture (β=.21, p=.012), age (β=-.18, p=.005), and participation in fall prevention education (β=-.15, p=.018). The explanatory power of the model was 31.6%. Conclusion: These results suggest that, to improve fall prevention behaviors in older adults with dementia, efforts to promote person-centered care and patient safety culture are necessary. Accordingly, effective measures such as developing fall prevention education and programs should be explored to provide safe and high-quality care for older adults with dementia.