• Quality Improvement in Health Care
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• v.4 no.1
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• pp.2-8
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• 1997

• The Korean Nurse
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• v.23 no.4 s.127
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• pp.12-14
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• 1984

• The Korean Nurse
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• v.34 no.3
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• pp.67-68
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• 1995

• Air Cleaning Technology
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• v.31 no.2
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• pp.41-52
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• 2018

• The Journal of the Korean dental association
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• v.33 no.3 s.310
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• pp.188-190
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• 1995

• The Korean Nurse
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• v.27 no.2 s.145
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• pp.20-25
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• 1988

• KOREAN POULTRY JOURNAL
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• v.53 no.1
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• pp.167-171
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• 2021

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.348-354
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• 2016

Data stored in hospital information systems has a great potential to improve adequacy assessment and quality management. Moreover, an establishment of a data warehouse has been known to improve quality management and to offer help to clinicians. This study constructed a data mart that can be used to analyze antibiotic usage as a part of systematic and effective data analysis of infection control information. Metadata was designed by using the XML DTD method after selecting components and evaluation measures for infection control. OLAP-a multidimensional analysis tool-for antibiotic usage analysis was developed by building a data mart through modeling. Experimental data were obtained from data on antibiotic usage at a university hospital in Cheonan area for one month in July of 1997. The major components of infection control metadata were antibiotic resistance information, antibiotic usage information, infection information, laboratory test information, patient information, and infection related costs. Among them, a data mart was constructed by designing a database to apply antibiotic usage information to a star schema. In addition, OLAP was demonstrated by calculating the statistics of antibiotic usage for one month. This study reports the development of a data mart on antibiotic usage for infection control through the implementation of XML and OLAP techniques. Building a conceptual, structured data mart would allow for a rapid delivery and diverse analysis of infection control information.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.370-378
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• 2022

The purpose of this study was to investigate the factors affecting infection control practice by dental hygienist students in Jeju during clinical training amidst the COVID-19 pandemic. Online survey was conducted on 112 students and the results were statistically analyzed with frequency analysis, Student's T-test, one-way ANOVA, and regression analysis using SPSS 20.0. In the 'awareness and practice of infection control by year in college' section, 2nd year students scored significantly higher in 'cleaning and surface disinfection,' 'medical waste disposal,' and 'COVID-19 preventive measure' compared to 3rd year students. In the 'type of training institution' section, hospital setting scored significantly higher in 'cleaning and surface disinfection,' 'instrument disinfection and sterilization,' 'personal and patient protection,' and 'COVID-19 preventive measure' compared to dental clinic setting. In the 'location of institution' section, Seoul metropolitan region scored higher in 'medical waste disposal' compared to Jeju region. According to regression analysis, year in college (2nd year), type of training institution (hospital setting), location of training institution (Seoul metropolitan region), and difficulty using protective gear (no difficulty) were associated with better COVID-19 preventive measure This first study in Jeju provides an insight on the awareness and practice of infection control measures by dental hygienist students in Jeju during clinical training. Further investigation for improvement of clinical training manual is warranted.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.561-572
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• 2022

This study is a descriptive survey study conducted to identify the factors affecting the turnover intention of hospital nurses who were cohort-isolated due to the outbreak of COVID-19. The data collected from 191 university hospital nurses were analyzed using the IBM SPSS Statistics 23 program by descriptive statistics, t-test, Pearson's correlation analysis, ANOVA, and multiple regression analysis. Among the factors affecting the turnover intention, the higher the infection control job stress (𝛽=.40, p<.001), the lower the support of the boss among social support at work (𝛽=-.21, p=.004). The lower the resilience (𝛽=-.16, p=.016) the higher the turnover intention. The explanatory power of these variables was 25% (Adj. R²=.25, F=16.99, p<.001). In particular, the infection control job stress of hospital nurses who had the entire hospital under cohort-isolated due to the outbreak of COVID-19 was above average. It is necessary to find a way to reduce infection control job stress, and to reduce the negative aspects of the organization and work with the support of the superior to lower the turnover intention. In addition, it is necessary to seek to reduce turnover intention as a program to strengthen resilience to improve resilience.