• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.20
• /
• pp.8801-8807
• /
• 2014

Purpose: The aim of the study was to evaluate knowledge, attitudes and behaviors of Turkish women over 20 years old on cervix cancer. Materials and Methods: This descriptive study was performed at a primary care center covering 246 women using a questionnaire composed of 3 sections and 38 questions. The data were analyzed using descriptive statistics, chi-square test in univariate analysis and multivariate hierarchical logistic regression analysis. Results: Of the 93.7% women who knew about cervical cancer, 68.0% of them had heard pap smear test and 46.1% had actually undergone a Pap smear once or more throughout their lives. According to the results of the hierarchical logistic regression analysis about factors affecting the Pap smear test; in Model 1, increase in age and education levels, in Model 2 and Model 3 increase in age and cervical cancer information points were determined. The most important information source for cervical cancer was TV-radio/media (59.9%) and health care workers (62.8%) for pap smear test. Conclusions: Although most women have heard of cervical cancer, knowledge about cervical cancer and also Pap smear screening rate are significantly lower. Having Pap smear test for women was affected by age and knowledge level about cervical cancer. Informing women about cervical cancer would be an important intervention.

• Korea Journal of Hospital Management
• /
• v.18 no.4
• /
• pp.145-165
• /
• 2013

The researches on corporate social responsibility(CSR) focused mostly on its effects on financial performance or consumer's behavior. However relatively few studies have dealt with employee's attitude towards CSR. The purpose of this study is to analyze determinants of hospital employee's attitude towards CSR. The data were collected from 163 employees at a general hospital in Gyeonggi-do from June 18 to July 18 in 2012. For the statistical analysis of data, t-test, ANOVA, and hierarchical multiple regression analysis were implemented. The result of hierarchical multiple regression analysis shows that first, perceived management support and direct benefits were positively related to the attitude towards the acceptance of CSR while interruption of work was negatively related. Second, as interruption of work was controlled, the statistically significant relationship between clinical department and attitude towards the acceptance of CSR was disappeared. In order to accommodate CSR in hospitals, first, the enterprise-wide support is more effective rather than expecting the action of each employee. Second, hospitals should provide the education about CSR to let employees expect direct benefits such as improving of their moral sense. Third, the burden of work causing interruption needs to be managed to cause employees to accept CSR.

• Health Policy and Management
• /
• v.29 no.1
• /
• pp.49-57
• /
• 2019

Background: The purpose of this study was to examine the cultural competence of nurses caring for foreign patients in general hospitals. Methods: The subjects are 308 nurses who work in general hospitals in Seoul and Gyeonggi-do. The data, collected using a structured questionnaire on cultural competence, coping strategy, multicultural experience, intercultural uncertainty, and intercultural anxiety, were analyzed using descriptive statistics, t-test, analysis of variance, Pearson's correlation analysis, and hierarchical multiple regression. Results: Cultural competence was significantly associated with marital status, level of education, type of ward, and number of cared foreign patients. In hierarchical multiple regression analysis, the level of cultural competence was significantly associated with married, master degree qualified, high level of coping strategy and multicultural experience, and low level of cultural uncertainty. Conclusion: The findings revealed the need for educational programs which can contribute to lower the intercultural uncertainty and to enhance coping strategies dealing with foreign patients. In addition, individual and organization efforts to provide opportunities to expand nurses' multicultural experience will affect nurses' cultural competence development.

• Structural Engineering and Mechanics
• /
• v.77 no.2
• /
• pp.231-243
• /
• 2021

In this paper, a dynamic response mapping model of the wheel-rail system is established by using the support vector regression (SVR) method, and the hierarchical safety thresholds of the subgrade void are proposed based on the reliability theory. Firstly, the vehicle-track coupling dynamic model considering the subgrade void is constructed. Secondly, the subgrade void area, the subgrade compaction index K30 and the fastener stiffness are selected as random variables, and the mapping model between these three random parameters and the dynamic response of the wheel-rail system is built by using the orthogonal test and the SVR. The sensitivity analysis is carried out by the range analysis method. Finally, the hierarchical safety thresholds for the subgrade void are proposed. The results show that the subgrade void has the most significant influence on the carbody vertical acceleration, the rail vertical displacement, the vertical displacement and the slab tensile stress. From the range analysis, the subgrade void area has the largest effect on the dynamic response of the wheel-rail system, followed by the fastener stiffness and the subgrade compaction index K30. The recommended safety thresholds for the subgrade void of level I, II and III are 4.01㎡, 6.81㎡ and 9.79㎡, respectively.

• Journal of Hospice and Palliative Care
• /
• v.25 no.4
• /
• pp.159-168
• /
• 2022

Purpose: This study aimed to investigate the impacts of end-of-life care competency and ethical dilemmas on psychological burnout in nurses who care for terminal cancer patients. Methods: A cross-sectional study of 160 nurses who cared for terminal cancer patients was conducted. The participants were recruited from the hospice-palliative care wards, hematology or oncology wards, or intensive care units of three general hospitals in a single metropolitan area. Data were collected using a self-administered survey to assess end-oflife care competency, ethical dilemmas, psychological burnout, and general sociodemographic characteristics. Data were analyzed using descriptive statistics, the independent ttest, analysis of variance, Pearson correlation coefficients, and hierarchical linear regression analysis using SPSS for Windows (version 26.0). Results: Psychological burnout was significantly correlated with end-of-life care competency (r=-0.23, P=0.003) but not with ethical dilemmas. The results of the hierarchical linear regression analysis indicated that endof-life care competency (β=-0.280, P=0.010) and ethical dilemmas (β=0.275, P=0.037) were significant predictors of psychological burnout, after adjusting for age, religious status, clinical experience, and unit type. Conclusion: The current study's findings demonstrate that end-of-life care competency and ethical dilemmas are crucial factors that affect psychological burnout in nurses who care for terminal cancer patients. Substantive education programs must be developed to improve nurses' competencies in end-of-life care and ethical dilemmas to decrease psychological burnout.

• Korea Journal of Hospital Management
• /
• v.29 no.1
• /
• pp.32-45
• /
• 2024

Purpose: This study was performed to determine whether positive psychological capital and role conflict among hospital nurses influence patient safety competencies. Methods: Data were collected from nurses working at one hospital with more than 800 beds in J Province. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé's test, Pearson's correlation analysis and hierarchical regression analysis using SPSS 26.0 program. Findings: In the hierarchical regression analysis, positive psychological capital, role conflict, bachelor's degree or higher as the highest level of education achieved, and three or more experiences reporting accidents impacting patient safety were found to significantly correlate with subjects patient safety competency. Among these, positive psychological capital emerged as the strongest factor, and the explanatory power of Model 4 was determined to be 38.1%. Conclusion: This study confirmed that hospital nurses' positive psychological capital and role conflict impact patient safety competency, underscoring the importance of organizational measures to increase patient safety awareness. Therefore, it is necessary to develop an educational program to strengthen hospital nurses' patient safety capabilities and conduct follow-up research to test its efficacy.

• Korea Journal of Hospital Management
• /
• v.28 no.4
• /
• pp.47-61
• /
• 2023

Purpose: The purpose of this study was to identify the influential factors on job satisfaction among nursingassistants working in medical institutions. Methods: Small and medium-sized hospitals and general hospitals (S City, U City, N City), 11 Geriatric hospitals(S City, N City, U City, T City, I City), and 29 clinics (S City, I City, N City). Data was collected from 194employed nursing assistants from February 15 to April 15, 2021. The obtained data were analyzed usingdescriptive statistics, ANOVA, Scheffe's test, Pearson's correlation analysis, and hierarchical regression analysis. Results: We confirmed a positive correlation between job satisfaction and organizational commitment, andconducted a hierarchical multiple regression analysis using monthly income, work-life balance, organizational commitment, and work confidence as influencing factors for job satisfaction, and found that organizational commitment and work confidence were significant influencing factors for job satisfaction. Conclusion: To improve the job satisfaction of nursing assistants, it is necessary to improve their understanding of the organizational culture in the workplace and expand education and training opportunities to enhance their work confidence to induce long-term retention. In addition, it was suggested that clear job scope and adequatecompensation are necessary for efficient human resource management.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1245-1245
• /
• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1152-1152
• /
• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.11
• /
• pp.1322-1332
• /
• 2011

This study investigates the influence of social desirability to questionnaire response and data analysis in order to identify the need for social desirability control in clothing consumer research. A questionnaire measuring social desirability, social face sensitivity, clothing shopping behavior, and demographic characteristics was developed. Responses of 234 respondents were analyzed using factor analysis, simple regression analysis, hierarchical regression analysis, descriptive analysis, and Cronbach's alpha analysis. The results were as follow. First, respondents were influenced by social desirability when they responded to items measuring other-conscious social face. Second, the result of regression analysis (that the independent variable was social formality) was less influenced by social desirability control because the influence of social desirability to social formality was insignificant. Conversely, the result of regression analysis (that the independent variable was other-conscious social face) was more influenced by social desirability control because the influence of social desirability to other-conscious social face was significant. This study is an initial study that notices the need for social desirability control in clothing consumer research.