• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.323-330
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• 2014

This study was done to identify the relationship of Major satisfaction, employment stress, depression and to identify the factors influencing depression for 196 College Students who agreed to participate in the study. Date were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression with SPSS 18.0. A negative correlation was found between major satisfaction and depression, positive correlation was found between employment stress and depression. The predicting factors for depression were major satisfaction and employment stress. Those factors accounted for 26.0% of depression. The fallow-up survey about various factors influencing college student's depression is needed and prevent depression program for developing depression are controled.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4816-4827
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• 2015

The purpose of this study was to identify the experience symptoms and severity of hemodialysis patients and to determine the effects of each symptom on health related quality of life. This research involved 102 patients who were receiving hemodialysis at one university hospital and two Kidney Center in D city. Data collection were collected from April to May 2014. Data analysis was performed by SPSS/WIN 18.0 using ANOVA, t-test, Pearson correlation and stepwise multiple regression. Fatigue was the highest among symptoms on hemodialysis patients and dry skin, itching was in order. Factors affecting health related quality of life were income and symptoms level. These factors explain 42.2% of the variance in health related quality of life. Based on the results, it is necessary to develop various programs and apply for nursing interventions to alleviate the experience symptoms and severity and expand support in social service perspective in hemodialysis patients. Especially, we suggest that further research for developing nursing interventions for relieving fatigue, itching, and sleep disorders of hemodialysis patients.

• Journal of Distribution Science
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• v.18 no.1
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• pp.107-121
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• 2020

Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.2
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• pp.13-26
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• 2018

The restoration of the impaired stream ecosystem is an important part of river policies in Ministry of Environment (MoE). However, the diagnosing the impairment sources of stream ecosystem has been omitted on the current river projects and policies. This phenomena lead the remaining impairment sources keep influencing on negative effects on streams. Hence, it is critical to construct a diagnosis system of impairment sources in order to increase the efficiency of various river restoration projects and policies. Moreover, it is also important to understand the relative impact of socio-economic factors of the impairment of stream ecosystems so as to build a domestic diagnosis system in place. Therefore, the study aims to analyse the relative effects of socio-economic factors which are the source of the stream ecosystem impairments through implementing the Analytic Hierarchy Process (AHP). In order to achieve the goal, a list of socio-economic factors influencing the stream health has been derived. On the basis of the derived causes list, AHP questionnaire were carried out to the experts of aquatic ecology. The study results could be implemented to analysing the relative influence of socio-economic impairment causes in domestic stream environments. In addition, more case study investigation is needed to cross-check if the derived impairment causes and weights are applied in the field as well as to develop more reliable indicators.

• The Journal of Korean Association of Computer Education
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• v.21 no.3
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• pp.21-33
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• 2018

The 2015 revised national curriculum emphasizes software education according to national and social needs for the development of computational thinking. Therefore, it is necessary to analyze meaningful factors influencing the development of computational thinking ability, as well as researches on various teaching, learning and evaluation methods. The purpose of this study is to analyze secondary school students' computational thinking ability in the Bebras challenge 2017 tasks and the participants' results of the challenge, and to figure out the differences according to factors such as evaluation area, gender, and region. The results of this study are meaningful to understand the factors for the development of computational thinking and to suggest directions for the improvement of Bebras challenge as a evaluation tool for computational thinking ability.

• Journal of Korean Clinical Nursing Research
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• v.26 no.1
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• pp.97-106
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• 2020

Purpose: This study was conducted to investigate the incidence and associated factors with post-traumatic stress disorders (PTSD) in patients with intensive care units (ICU) admission experience. Methods: This study is a retrospective observational study using self-reporting questionnaire. Patients who were admitted to ICU more than 72 hours and agreed to participate were enrolled in this study. PTSD were assessed by Korean version of post-traumatic diagnosis scale, and PTSD was defined as 20 points or more. Medical records of participants were reviewed to identify influencing factors of PTSD. To analyzed the data, descriptive statistics, Mann-Whitney U test, Kruskal-Wallis test and gamma regression were utilized using SPSS/WIN 23.0 program. Results: A total of 128 patients participated in the study. Mean age of participants was 58.3±11.7 years and 50 patients (39.1%) were female. Mean duration of ICU stay was 8.43±8.09 days and PTSD was diagnosed in 12 patients (9.4%). In the results of a Gamma regression analysis, Psychiatric history (B=1.09, p=.002), APACHEII score (B=.04, p=.005), CPR experience (B=1.65, p=.017) and physical restraint (B=.68, p=.049) were independently associated with PTSD occurrence. Conclusion: The results of this study suggest that a various factors influencing PTSD should be identified to prevent PTSD in patients who requires ICU care. In addition, post-ICU care programs are required to assess and reduce PTSD.

• Journal of Korean Society on Water Environment
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• v.37 no.3
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• pp.204-216
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• 2021

It is important to understand the factors influencing the temporal and spatial variability of water quality in order to establish an effective customized management strategy for contaminated aquatic ecosystems. In this study, the spatial diversity of the 5-year (2015 - 2019) average total phosphorus (TP) concentration observed in 40 Total Maximum Daily Loads unit-basins in the Nakdong River watershed was analyzed using 50 predictive variables of watershed characteristics, climate characteristics, land use characteristics, and soil characteristics. Cross-correlation analysis, a two-stage exhaustive search approach, and Bayesian inference were applied to identify predictors that best matched the time-averaged TP. The predictors that were finally identified included watershed altitude, precipitation in fall, precipitation in winter, residential area, public facilities area, paddy field, soil available phosphate, soil magnesium, soil available silicic acid, and soil potassium. Among them, it was found that the most influential factors for the spatial difference of TP were watershed altitude in watershed characteristics, public facilities area in land use characteristics, and soil available silicic acid in soil characteristics. This means that artificial factors have a great influence on the spatial variability of TP. It is expected that the proposed statistical modeling approach can be applied to the identification of major factors affecting the spatial variability of the temporal average state of various water quality parameters.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.283-292
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• 2021

Purpose: In this descriptive study, we aimed to identify factors influencing safe nursing activities of nurses working at public hospitals. Methods: We collected data in March 2021 through an online survey. The subjects were 199 nurses who had worked for at least six months at public hospitals. The self-reported questionnaire consisted of items pertaining to safe nursing activities, perception of patient safety culture, and the general characteristics of the subjects. To examine the differences in the safe nursing activities and perception of patient safety culture by general characteristics, we employed a t-test and ANOVA. We conducted a multiple linear regression analysis to explore the factors affecting safe nursing activities. Results: The mean score for safe nursing activity was 4.59±0.39. Perception of patient safety culture and age group were found to be the main factors affecting the safe nursing activities of nurses working at public hospitals (F=17.24, p<.001, Adj. R²=.40). When the score for perception of patient safety culture increased by 1 point, the score for safe nursing activities increased by 0.58 points. In addition, the score for safe nursing activity in the 40s age group was 0.16 points higher than for those in the 20s age group. Conclusion: Effective management and leadership in public hospitals is needed to improve the culture of patient safety at various levels so as to ensure safe nursing activities.

• Journal of Home Health Care Nursing
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• v.30 no.2
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• pp.163-173
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• 2023

Purpose: The aim of this descriptive research study was to identify the factors affecting the ethical decision-making of nursing students. Methods: A convenience sample of 193 nursing students from three nursing colleges in D city who were engaged in clinical practice completed an online Google Forms questionnaire from September 9 to September 20, 2021. Using SPSS 23.0, data were analyzed with descriptive statistics, an independent t-test, a one-way ANOVA, Scheffé's test, Pearson's correlation coefficient, and a multiple regression analysis. Results: The influencing factors of ideal ethical decision-making were guilt (β=.38, p<.001), awareness of the nurses' Code of Ethics (β=.18, p=.023) and motivation for entering school, among general characteristics (β=-.18, p=.033). The explanatory power of the model was 22.2%. Further, the influencing factors of realistic ethical decision-making were ideal ethical decision-making (β=.26, p=.001) and grade (among general characteristics) (β=.15, p=.029); the explanatory power of the model was 17.9%. Conclusion: Various educational tools and programs pertaining to making ideal and ethical decisions must be enhanced to promote ethical choices in clinical areas and realistic ethical decision-making ability to actually make such choices. This focus may enable nurses to improve their nursing professionalism in the future.

• Health Policy and Management
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• v.33 no.1
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• pp.55-64
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• 2023

Background: Despite the various activities of the regional public hospitals, discussions are being made as to whether or not to continue due to the issue of financial deficit. Therefore, the main factors affecting the fiscal deficit were analyzed with 10-year data. Methods: This study is a panel analysis that analyzed the characteristics of 34 regional public hospitals and influencing factors on medical benefits for 10 years from 2010 to 2019. First, we analyze the determinants of medically vulnerable areas set by the government, analyze the trend of medical profit per 100 beds and medical profit rate from 2010 to 2019, and identify the factors that affect them. Results: Differences in medical profit per 100 beds and medical profit-to-medical profit rate were caused by market share representing regional characteristics, and both indicators improved as the number of outpatients increased. The important influencing variables are the number of doctors and nurses, and both indicators improve when there are specialists, but medical benefits decrease as the number of doctors increases when judged by the number of people per 100 beds. In addition, the number of nurses per 100 beds does not contribute to medical profit and has a negative effect on the medical profit ratio. Conclusion: As only regional characteristics were taken into account for medically vulnerable areas, operational characteristics need to be considered. The greatest impact on the finances of local medical centers is the proper staffing of doctors and nurses, and their efficient arrangement is the most important factor in financial stability.