• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.9
• /
• pp.341-350
• /
• 2019

This research study was conducted to investigate the effect of knowledge, attitude and nursing professionalism on the confidence of the performance of nursing students who had experience with clinical practice and also to provide basic data for the development of nursing students' curriculum. The subjects who participated in this study were 286 students in the 4th year of nursing at two colleges in the Daegu and Gyeongbuk regions. The research data was analyzed using the SPSS 22.0 program. Confidence in performance of patient safety was higher for the women than for men, and for the students of an older age and higher academic achievement. Confidence in performance of patient safety was positively related to knowledge (r=.25, p=.000), attitude (r=.39, p=.000), nursing professionalism (r=.33, p=.000) and all these had statistical significance. On the multiple regression analysis, the coefficient of determination ($R^2$) was .49 and the explanatory power of the model was 49.2% (F=24.04, p=.000). The most important factor affecting confidence in performance of patient safety was the experience of having undergone patient safety education. Based on these results, it is necessary to seek various educational methods to expand the concept of patient safety from the beginning of the undergraduate course work. Especially, we think that various education strategies such as simulation education methods or information videos are needed to develop scenarios related to patient safety.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.9
• /
• pp.390-396
• /
• 2019

This study was undertaken to analyze factors influencing the emotional labor and emotional intelligence of a dental hygienist on organizational effectiveness. The study was conducted between September 4, 2018 to December 7, 2018, enrolling a total of 233 dental hygienists living in the Jeollabuk-do province. The data were analyzed by independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson's correlation coefficient, and stepwise multiple regression, using SPSS 18.0. The regression model obtained was F=138.917, P<0.05, with an explanatory percentage of 58.2. Emotional labor (${\beta}=0.608$) was determined to be the most influential variable among independent variables, and other factors affecting the organizational effectiveness of a dental hygienist include the highest level of education, career, and emotional intelligence. We conclude that in order to improve organizational effectiveness among dental hygienists, it is necessary to establish an effective plan for reducing emotional labor and promote emotional intelligence.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.313-320
• /
• 2019

This paper was attempted to identify the convergent factors related to the state anxiety of Female Administrative Staff in Medical Institutions(FASMI). For randomly selected 226 FASMI at 27 medical institutions in J region, from July 4, 2018 to July 25, 2018, we conducted an anonymous self-administered questionnaires. As a result of hierarchical multiple regression analysis, the state anxiety of respondents turned out to be significantly higher in following groups: a group in which subjective happiness is lower, a group in which cynicism, sub-areas of job burnout are higher, a group in which psychosocial stress is higher, the explanatory power of them was 57.3%. In conclusion, in order to lower the state anxiety of FASMI, it is necessary to increase subjective happiness, lower cynicism, which is a sub-area of job burnout, and to lower psychosocial stress. These results could be used in hospital job management and mental health education to lower the level of state anxiety in FASMI. Future research needs to develop and interpret a structural equation model that affects the state anxiety of FASMI.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.5
• /
• pp.64-78
• /
• 2019

This paper explores key factors affecting taxi travel using global positioning system(GPS) data in Seoul, Korea, considering spatial dependence. We first analyzed the travel characteristics of taxis such as average travel time, average travel distance, and spatial distribution of taxi trips according to the time of the day and the day of the week. As a result, it is found that the most taxi trips were generated during the morning peak time (8 a.m. to 9 a.m.) and after the midnight (until 1 a.m.) on weekdays. The average travel distance and travel time for taxi trips were 5.9 km and 13 minutes, respectively. This implies that taxis are mainly used for short-distance travel and as an alternative to public transit after midnight in a large city. In addition, we identified that taxi trips were spatially correlated at the traffic analysis zone(TAZ) level through the Moran's I test. Thus, spatial regression models (spatial-lagged and spatial-error models) for taxi trips were developed, accounting for socio-demographics (such as the number of households, the number of elderly people, female ratio to the total population, and the number of vehicles), transportation services (such as the number of subway stations and bus stops), and land-use characteristics (such as population density, employment density, and residential areas) as explanatory variables. The model results indicate that these variables are significantly associated with taxi trips.

• Journal of the Korean Applied Science and Technology
• /
• v.36 no.3
• /
• pp.726-736
• /
• 2019

The purpose of this study is to investigate the effect of University hospital nurses' self-efficacy and job performance on job satisfaction. The subjects of this study were 130 nurses working at a university hospital in C city and collected data using structured questionnaires. The collected data were analyzed using mean, standard deviation, t-test, ANOVA, Pearson's correlation and multiple regression analysis using spss 25.0. The results showed that the self-efficacy was 3.24 points for the average score, 2.74 points for the job performance, and 3.10 points for the job satisfaction. Self-efficacy, job performance, and job satisfaction were statistically correlated. The factors affecting job satisfaction were self-efficacy (${\beta}=.39$, p<.001), age at 30~34 years (${\beta}=-.27$, p=.001), Operating Room(${\beta}=-.17$, p=.029), Medical ward (${\beta}=-.17$, p=.025) and unmarried (${\beta}=-.20$, p=.012) and the explanatory power of the model was 30.4%. Based on the results of this study, it is necessary to develop a program to improve the job satisfaction considering the self-efficacy, age, working department of hospital nurse.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.393-405
• /
• 2019

This study is descriptive survey research to find out factors which violence experience, violence coping and social support affect. This study aims at reducing burnout of psychiatry nurses and founding problem-oriented violence handling standardized intervention. The subjects were 204 nurses who have worked for more than a year in a hospital. The data collection period was conducted with structured survey from July 1, 2018 to August 31, 2018. Collected data was analysed with average, standard deviation, t-test, ANOVA, Pearson's Correlation confident, Multiple Regression and this data will go to by SPSS. The results of the study were as follows. 92.2% of psychiatry nurses are experiencing verbal violence, 92.2% are experiencing physical threat and 75.5% are experiencing physical violence. Relations between violence experience and violence coping(r=0.15. p<.027), violence experience and burnout(r=0.16, p<.017) were positive correlation. Relation between violence coping and social support(r=0.30, p<.001) was positive correlation, and social support and burnout(r=-0.28, p<.001) was negative correlated. Also we found out that nursing job satisfaction, social support and physical violence experience affect burnout. Which shows model's explanatory power was 33.3%. Therefore preventive discipline which can reduce violence experience of psychiatry nurses, founding systems to reinforce social support and creating circumstance where nursing job satisfaction can increase will help reduce burnout and serve better nursing.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.159-166
• /
• 2019

This paper investigated convergent factors to turnover intention among some Administrative Staff in Medical Institutions(ASMI). The survey used self-administered questionnaires for 320 administrative staffs of 27 medical institutions in the J region, selected arbitrarily from July 2, 2018 to July 27, 2018. The hierarchical multiple regression analysis shows the following results. The turnover intention of respondents turned out to be significantly higher in following groups: a group in which organizational commitment is lower, a group in which organizational loyalty is higher, a group in which exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout are higher. The results show explanatory power of 50.9%. The results of the study indicate that the efforts, to increase organizational commitment and organizational loyalty, and to decrease exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout, are required to improve the turnover intention among ASMI. These results could be used in hospital organization personnel management and industrial health education to lower the level of turnover intention in ASMI, vocational aptitude education of health care college students. In following studies, it is necessary to present and analyze the structural model affecting the turnover intention of ASMI.

• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.385-395
• /
• 2019

This was a descriptive study to investigate the effect of social support and resilience on sick role behaviors of hemodialysis patients, and aims to provide base data on nursing intervention programs for improving the sick role behaviors of hemodialysis patients. The study subjects was patients with chronic kidney disease undergoing hemodialysis treatment at a general hospital in D city. The final analysis has been made on 131 questionnaires. The average of social support score was $3.93{\pm}0.84$, and resilience score was $2.67{\pm}0.80$. At last sick role behavior score was $3.99{\pm}0.80$. According to the analysis on the correlations among the study subjects' social support, resilience and sick-role behaviors, the social support had statistically and significantly positive correlation. In regression analysis, frequency of dialysis, social support and resilience have appeared to be the variables influencing sick role behavior, and the explanatory power of this model is 44.0%.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.219-227
• /
• 2019

This study examined the convergent relationship of stress factors related to the depression level(CES-D) of a college student. The questionnaire was used using an unregistered self-administered questionnaire for 304 students from a college located in J area from Nov. 12, 2018 to Dec. 14, 2018. The hierarchical multiple regression analysis results are as follows: The depression level of respondents turned out to be significantly higher in following groups: a group in which job seeking stress(CMI) is higher, a group in which academic burnout(MBI-SS) is higher, a group in which anxiety(BAI) are higher. The results show explanatory power of 60.7%. The results of the study indicate that the efforts, to decrease job seeking stress, to decrease academic burnout and, to decrease anxiety, are required to decrease the depression level among college students. These results can be utilized in various interventional efforts for academic counseling and guidance, job counseling, and psychological and emotional stability that lowers the depression level in college students. Following studies requires the presentation and analysis of structural models for the structural model that effects the depression levels of college students.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.24 no.5
• /
• pp.1-14
• /
• 2021

Excessive development and urbanization have destroyed animal, plant, habitats and reduced biodiversity. In order to preserve species diversity, habitat prediction studies are have been conducted at home and overseas using various modeling techniques. This study was conducted to suggest optimal habitat modeling research by comparing HSI and MaxEnt, which are widely used among habitat modeling techniques. The study was targeted on the endangered species of Prionailurus bengalensis in nearby areas (5460.35km2) including Cheonan City, and the same data were used for analysis to compare those models. According to the HSI analysis, Prionailurus bengalensis's habitat probability was 74.65% for less than 0.5 and 25.34% for more than 0.5 and the top 30% were forest (99.07%). MaxEnt's analysis showed that 56.22% of those below 0.5 and 43.79% of those above 0.5 were found to have a high explanatory power of 78.3% of AUC. The Paired Wilcoxn test, which evaluated the significance of thoes models, confirmed that the mean difference between the two models was statistically significant (p<0.05). Analysis of the differences in the results of those models using the matrix table shows that score 24.43% HSI and MaxEnt was accordance,12.44% of the 0.0 to 0.2 section, 7.22% of the 0.2 to 0.4 section, 2.73% of the 0.4 to 0.6 section, 1.96% of the 0.6 to 0.8, and 0.08% of the 0.9 to 1.0. To verify where the score difference appears, the result values of those models were reset to values from 1 to 5 and overlaid. Overlapping analysis resulted in 30.26% of the Strongly agree values, 56.77% of the agree values, and 11.92% of the Disagree values. The places where the difference in scores occurs were analyzed in the order of forest (45.23%), agricultural land (34.57%), and urbanization area (7.65%). This confirmed that the analysis of the same target species within the same target site also has differences in forecasts depending on the modelling method. Therefore, a novel analysis method combining the advantages of each modeling in habitat prediction studies should be developed, and future study may be used to select Prionailurus bengalensis and species-protected areas and species protection areas in the future. Further research is judged to require higher accuracy studies through the use of various modeling techniques and on-site verification.