• Journal of Preventive Medicine and Public Health
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• v.43 no.6
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• pp.513-522
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• 2010

Objectives: The purpose of this study was to define the association between the medical utilization of osteoarthritis patient and its related factors. Methods: We used the 2005 Korean National Health and Nutrition Survey data and we enrolled 2833 participants who were forty or older and who were diagnosed as having osteoarthritis by a doctor within 1 year and who had suffered from osteoarthritis for more than 3 months. The Andersen behavioral model was used as the analytic framework, and the variables were categorized into predisposing, enabling, and need factors. To determine the influence of each variable on the medical utilization of osteoarthritis patient, we applied hierarchical logistic regression analysis with two stages: the first stage included the predisposing and enabling factors and the second stage included the need factors. Results: On the hierarchical logistic analysis, the variables of personal income, the type of medical security, the duration of arthritis related symptoms within 1 month, the subjective health status and the duration of osteoarthritis showed a statistically significant association with medical utilization in men. And the variables of age, limitation activity due to osteoarthritis, arthritis related symptoms within 1 month, and the subjective health status had a statistically significant association with medical utilization in women. Conclusions: The patients who tend to receive less care are those who suffer less from symptoms of osteoarthritis, those who are within the initial phase, or those with a low-level severity of osteoarthritis. It is necessary to encourage patients to receive the treatment in the initial phase.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.5
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• pp.1005-1010
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• 2011

The accidents caused by dielectric instability have been increasing in power grid. It is important to enhance the dielectric reliability of a high voltage apparatus to reduce the damage from electrical hazards. To develop an electrically reliable high voltage apparatus, the experimental study on the electrical breakdown field strength is indispensable, as well as theoretical approach. In this paper, the lightning impulse breakdown characteristics considering utilization factors are studied for the establishment of insulation design criteria of an high voltage apparatus. The utilization factors are represented as the ratio of mean electric field to maximum electric field. Dielectric experiments are performed by using several kinds of sphere-plane electrode systems made of stainless steel. As a result, it is found that dielectric characteristics are affected by not only maximum electric field intensity but also utilization factors of electrode systems. The results are expected to be applicable to designing the air-insulated high voltage apparatuses.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.211-216
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• 2019

Knowledge sharing is safe to say that we have already embarked on knowledge-based global economy where knowledge is a decisive factor in global competition for corporations. So in the age of knowledge-based management, it is how we use knowledge that decides success or failure for corporations and the competitiveness of their countries at large as well. We did this research with the help of those who were working in ICT industry including manufacturing, tourism, and others. In this research, we looked into how project participants, organizational characteristic, and relational characteristic affect knowledge sharing and utilization, and what are the factors that have positive effects on corporate success. And all the factors presented in the research are found to have positive effects on the knowledge sharing and utilization. The factors appeared to have positive effects starting with project at first and then on corporate success at large.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.311-329
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• 1996

This study was designed to compare the level of medical utilization between the urban and rural areas of Korea and to explain the differences between the two regions. Data from the National Health Interview Survey performed by the Korean Institute of Health & Social Affairs in 1992 were used for this study utilizing a sample size of 21,841 people. The level of medical utilization such as the number of physician visits and the number of hospital admissions was compared between the regions with ANOVA. Various determinants for medical use were also compared by univariate analysis. Statistical models which included enabling factors, predisposing factors, need factors and region were constructed for bivariate analysis in order to further elucidate the level of medical utilization. The results were as follows: 1. There was greater medical use, both in terms of physician visits and inpatient care in the rural areas in spite of insufficient health resources. The particular reasons for higher medical utilization in rural areas were attributed to a higher number of initial physician visits as well as a longer the length of stay per hospital admission. Therefore, indicators representing the degree of met need (utilization/need) showed no significant difference between rural and urban areas in spite of the fact that the medical need is larger in rural areas. 2. Use of public health facilities received a significant portion of physician visits in the rural area. The government's effort to enhance primary health care through health centers, health subcenters and the nurse practitioner's post in rural areas has contributed to the increase of access to medical care in the rural areas. 3. There were some differences in the socio-demographic characteristics between two regions ; There were more elderly people over the age of 65: unstable marital status, less education and lower incomes also characterized the rural areas. Therefore, among rural people, there were more predisposing factors for medical use. Additionaly, need factors such as poor self-reported health status and high morbidity level were also high in the rural area. 4. In contrast it was learned that, the supply of health resources was mostly concentrated in the urban areas except for public health facilities. Therefore, geographical access to medical care was lower in the rural area both in terms travel time and travel cost. 5. The coefficient of the region variable was insignificant in the regression model which controlled the supply factor only. However, utilization was significantly higher in urban areas if the model included predisposing factors and need factors in addition to the supply factor. The results were interpreted as rural people have greater medical needs.

• Korea Journal of Hospital Management
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• v.12 no.3
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• pp.1-19
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• 2007

This study focused on finding the variation of medical service utilization and medical payments of the patients died by three, cancers, stomach, breast, and colon cancer. For this study, data of the one-year episodes of the health insurance subscribers died in 2004 were selected. The frequency of medical visits, the lengths of slays, the days of outpatient visits, the total period of medical services and the total medical payments were compared by the characteristics of the suppliers and utilizers. The data of the patients died by cerebrovascular diseases and cancer in 2004 were selected. To select the dead by cerebrovascular diseases and cancer in 2004, were matched the 2004 reimbursement data of all medical institutions to the data of funeral fee payment by the National Health Insurance Corporation from January 2004 to May 2005 for the death in 2004. The results of the analysis were as follow. The variation of medical service utilization of the dead by cancers were not small in Korea. The current study found that the variation of medical care utilization was influenced by the factors of suppliers, such as types and locations of medical institutions and the factors of users, such as sex and age. It was suspected that the reimbursement by fee-for-service contributed to the variation quite a lot, but we could not compare the variation between the different reimbursement systems in Korea. The results of the study suggested that tile factors of suppliers and utilizers should he reviewed to reduce the under use and over use expressed by variations of medical service utilization. The processes of care, effective communication and management system should be investigated for the equity of medical service utilization. Additionally, prospective payment could he recommended to reduce the high variation of medical service Use. To find the variation caused by under use and over use, further study need to control the severity of diseases, socio-economic status of the users and the system factors.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.2
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• pp.49-59
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• 2023

Objectives : This study aimed to identify the factors that affect the utilization of Korean Medicine within the past year. Methods : I analyzed micro-data from the Korean Medicine Utilization Survey (2020), which surveyed the general public. "User (in last 1 year)" were defined as those who had used Korean Medicine within the past year, while "Non-user (in last 1 year)" were defined as those who had used it in their lifetime but not within the past year. I examined several factors, including general characteristics, perceptions of Korean Medicine, satisfaction with Korean Medicine, and intention for future utilization. I conducted the Rao-Scott chi-squared test and complex sample logistic regression analysis. Results : I analyzed a total of 3,762 respondents, of which 1,442 (36.3%) were User (in last 1 year) and 2,320 (63.7%) were Non-user (in last 1 year). User (in last 1 year) and Non-user (in last 1 year) differed significantly in terms of demographic characteristics, perceptions, and satisfaction with Korean Medicine. Women, the elderly, those with low education levels, non-married individuals, those with low-income, chronic diseases, and poor subjective health conditions were significant factors. Those who used Korean Medicine within the past year were more knowledgeable about Korean Medicine than those who had not used it recently, and recognized herbal medicine as safer. In terms of satisfaction, User (in last 1 year) were more satisfied than Non-user (in last 1 year). The more women, the older, the more aware of Korean Medicine, the safer they perceived herbal medicine, the more satisfied they were with its use, the better their subjective health condition, and the absence of chronic diseases, the less they experienced Korean Medicine. Conclusions : The study showed that positive experiences and perceptions of Korean Medicine increase the likelihood of its utilization. Individuals with better subjective health conditions and without chronic diseases have a lower possibility of using Korean Medicine.

• Health Policy and Management
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• v.25 no.1
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• pp.3-10
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• 2015

Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.

• Journal of Korean Society of Transportation
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• v.31 no.5
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• pp.71-78
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• 2013

This paper investigated the influences of ramp traffic flow on the lane utilization for signalized intersection approaches which are adjacent to an off-ramp-street junction. The statistical test showed a correlation between lane utilization and the ramp traffic flow. As the ramp traffic flow increases, the left lanes are less utilized and the right lanes are more utilized. The lane utilization factors are calculated by applying traffic data collected from the Seoul Metropolitan area. The utilization factors are 1.113 for 2 lanes, 1.124 for 3 lanes, and 1.131 for 4 lanes. The lane utilization factors proposed in the paper show higher values than those in current Korea Highway Capacity Manual (KHCM) under the conditions that the number of lanes is 2 or 3. However, the lane utilization factor for 4 lanes in the paper shows lower value than in KHCM. The ramp traffic flow causes more utilization of the right lanes than at normal signalized intersections and the extent gets larger as the number of lanes decreases. Based on the results of the paper, the lane utilization factors at signalized intersection approaches should be revised and reasonable capacity should be recalculated if the signalized intersection is adjacent to an off-ramp-street junction.

• Informatization Policy
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• v.27 no.3
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• pp.82-111
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• 2020

Recently, increasing use of big data have caused regulation factors of personal information and combination of pseudonymized information to emerge as key policy measures. Therefore, this study empirically analyzed the mediating effect and moderating effect of pseudonymized information combination as the third variable in the relationship between regulation factors of personal information and big data utilization. The analysis showed the following results: First, among personal information regulation factors, definition regulation, consent regulation, supervisory authority regulation, and punishment intensity regulation showed a positive(+) relationship with the big data utilization, while among pseudonymized information combination factors, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination were also found to be in a positive relationship with the use of big data. Second, among the factors of pseudonymized information combination, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination showed a positive(+) mediating effect in relation to regulation factors of personal information and big data utilization. Third, in the relationship between personal information regulation factors and big data utilization, the moderating effect hypothesis that each combination institution type of pseudonymized information (free-type, intermediary-type, and designated-type) would play a different role as a moderator was rejected. Based on the results of the empirical research, policy alternatives of 'Good Regulation' were proposed, which would maintain balance between protection of personal information and big data utilization.