• Journal of Power System Engineering
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• v.13 no.2
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• pp.63-70
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• 2009

This paper discusses the influence on long-tenn predictions of the ship response in ocean by using the Global Wave Statistics data, GWS, and wave information from the remote sensing satellites. GWS's standard scatter diagrams of significant wave height and zero-crossing wave period are suggested to be corrected to a round number of 0.01/1000 fitted with a statistical analytic model of the conditional lognormal distribution for zero-crossing wave period. The GEOSAT satellite data are utilized which presented by I. R. Young and G. J. Holland (1996, named as GEOSAT data). At first, qualities of this data are investigated, and statistical characteristic trends are studied by means of applying known probability distribution functions. The wave height data of GEOSAT are compared to the data observed onboard merchant ships, the data observed by measure instrument installed on the ocean-going container ship and so on. To execute a long-tenn prediction of ship response, joint probability functions between wave height and wave period are introduced, therefore long-term statistical predictions are executed by using the functions.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.533-536
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• 2003

Tn improve the quality in apartment houses, it has regarded one of the most important steps as systematic maintenance. Also, repair and long-term maintenance have played an important role in maintenance of the rental apartment. Moreover, the historical data which come from these works have functioned as preventive maintenance in inspection and references in repair and long-term maintenance. To sum up, it would be necessary to get rid of the factors of dispute from sharing a variety of data among occupants, superintendents, and proprietors. Futhermore, it would be possible to show the management methods of repair and long-term maintenance historical data.

• Health Policy and Management
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• v.19 no.2
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• pp.36-50
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• 2009

Korean Government had performed three pilot programs to introduce the long term care insurance system. Persons aged 65 or older who are dependent on others for daily living could use long term care services in the pilot program. The long-term care insurance covered nursing home services, home care services and cash benefits. The cash benefits are included that for elderly at home and for patients in geriatric hospital. This study investigated whether there had been any change in the medical care utilization according to cash benefits for geriatric hospitalization. This study used National Health Insurance claims and Long term Care Insurance claims 2003 through 2006. Data were composed of subjects who undertook both insurance coverage. The subjects was divided into two groups. Case group included participants with the cash benefits of geriatric hospitalization. Control group included persons without the cash benefits selected by random sampling according to the distribution of case group. This study showed that the amount of medical care utilization of the case group is more significantly increased than the control group after adjusted their health condition and functional condition. This result will be helpful for making decisions on whether the cash benefit of geriatric hospitalization can be introduced into long term care insurance system.

• Health Policy and Management
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• v.23 no.2
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• pp.132-144
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• 2013

Background: The purpose of this study was to analyze the medical expense change and influencing factors after introducing longterm care insurance system. The study period was 2 years before and after introduction of the system. Methods: We analyzed data collected from two divided group lived in Incheon. Four hundred and eighty-five elderly who received long-term care wage for one year were selected for experimental group. For control group, 1,940 elderly were selected by gender and age stratified random sampling. Difference-In-difference analyses was used for evaluating policy effectiveness. Also multiple regression analyses were conducted to identify the factors associated with total medical expenditures. The control variables were demographic variables, economic status, diseases, and medical examination variables. Results: Difference-in-difference analyses showed that total average medical expenses among long-term patients has decreased by 61.85%. Of these, the hospitalization expenses have decreased by 91.63% and the drug expenses have increased by 31.85%. Multiple regression analyses results showed that total average medical expenses among long-term patients have significantly decreased by 46.5% after introducing the long-term care insurance. The hospitalization expenses have significantly decreased by 148.5%, whereas the drug expenses have increased by 53.6%. And outpatient expenses have increased by 10.4%, but the differences were not statistically significant. Conclusion: The results showed that total medical expenses and hospitalization expenses have decreased after introducing the long-term care insurance. These results could support the opinion that the health insurance spending among long-term patients will be reduced gradually by long-term care insurance through changing medical demand.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.145-159
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• 2011

National long-term care insurance started in July, 2008. We try to make up for weak points and develop a long-term care insurance system. Especially, it is important to upgrade the rating model of the category of need for long-term care continually. We improve the rating model using the data after enforcement of the system to reflect the rapidly changing long-term care marketplace. A decision tree model was adpoted to upgrade the rating model that makes it easy to compare with the current system. This model is based on the first assumption that, a person with worse functional conditions needs more long-term care services than others. Second, the volume of long-term care services are de ned as a service time. This study was conducted to reflect the changing circumstances. Rating models have to be continually improved to reflect changing circumstances, like the infrastructure of the system or the characteristics of the insurance beneficiary.

• Korean Journal of Occupational Health Nursing
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• v.21 no.3
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• pp.308-316
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• 2012

Purpose: The purpose of this study was to describe the perception and practice of hospital infection control of nursing staff in long-term care hospitals by the level of supplementation of nurses. Methods: The participants were 212 nurses and nurse assistants in 13 long-term care hospitals in a metropolitan city and the data were gathered by self-reported questionnaires during August 2011 and analyzed by SPSS/WIN program. Results: The beds per a nurse were 15, and the proportion of nurses among nursing staff in long-term care hospitals was about 33%. In general, the level of infection control in practice was lower than that of perception. The highest perception and practice domain was 'Management of disinfection/contamination', and the lower level domains were 'Personal hygiene' and 'Hand washing' There were statistically significant differences in the hospital infection control of perception and practice depending on age, education, career in long-term care hospital, job position, the quantity of beds, nurse, and nurse assistant, beds per a nurse and proportion of nurses in hospitals. Conclusion: According to these results, the systematic and continual education on hospital infection control of the nursing staff in long-term hospitals should be carried out. In addition, the policy to add more nurses into long-term care hospitals must be implemented.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1415-1420
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• 2015

Background: We compared the health-promoting behavior of long-term cancer survivors with those of the general population to identify necessary behavioral interventions to reduce the health risk among cancer patients. Materials and Methods: We used data from the 2007 and 2012 Korea National Health and Nutrition Examination Surveys (KNHANES IV [2007~2009] and KNHANES V [2010~2012]) on smoking status, alcohol use, physical exercise, and disease screening. We compared long-term cancer survivors with members of the general population; the controls were matched by propensity score matching. A multiple logistic regression model was used to investigate the association between cancer status and health-promoting behavior. Results: Long-term cancer survivors had a lower risk of smoking than the general population controls (OR: 0.42, 95%CI: 0.25-0.71). In addition, the long-term cancer survivors had a lower risk of alcohol use than the general population controls (OR: 0.70, 95%CI: 0.50-0.98). However, in terms of physical exercise and disease screening, no statistically significant differences were detected (physical exercise OR: 1.01, 95%CI: 0.75-1.35; disease screening OR: 1.27, 95%CI: 0.93-1.74). All covariates were adjusted. Conclusions: The long-term cancer survivors had a much lower risk of smoking and alcohol use than the general population controls. However, almost no differences in physical exercise and screening for cancer recurrence or secondary disease were detected between the long-term cancer survivors and general population controls. To reduce the health risks and challenges facing long-term cancer survivors, interventions to encourage physical exercise and screening for cancer recurrence and secondary disease should be implemented.

• Health Policy and Management
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• v.21 no.4
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• pp.617-642
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• 2011

The purpose of our study is to analyze the determinants of the benefits of the long-term care insurance in Korea using 2008 and 2009 cross-sectional data. Per capita long-term care insurance benefits can be divided into home care services utilization rate, institutional care services utilization rate, per capita home care services benefits, and per capita institutional care services benefits, which are used as the dependent variables in our regression analysis. Admission rate and the ratio of the admitted to the applicant also used as the dependent variables. The results of our analysis show that the explanatory variables such as income level, needs for care, family type, access to the services, and regional characteristics are statistically significant to explain the dependent variables, the long-term care insurance benefits. The higher is the regional income and the more of the female residents, the more are the long-term care insurance benefits. The easier is the access to the services, the more are the insurance benefits. In the rural area, the level of the insurance benefits is relatively high. We propose that copayment rates of the long-term care insurance should be examined and monitoring on the over-use of the services should be done. Also preventive services and care by the family member should be expanded.

• Health Policy and Management
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• v.20 no.4
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• pp.126-138
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• 2010

Objectives : The purpose of this study is to evaluate the effects of assistive products usage on activity of daily living for the beneficiary older adults people in Korean long-term care insurance system. The study subjects were divided to assistive products users and non-users among the beneficiary older adults based on Korean long-term care insurance system to compare function improvement of the activity of daily living. Methods : In national wide 12 community elderly care center enrolled the National Health Insurance Corporation, The numbers of 281 beneficiary older adults(long-term care Grade I: 66, Grade II: 58, Grade III: 157) participated in this study. This survey assessment tool for activity of daily living was used the long-term care assessment instrument of the physical functions in the law of Korean long-term care insurance. The function items of Activity of daily living were included in clothing, washing, tooth brushing, bathing, eating, posture converting, stand sitting, move sitting, out of room, using toilet, controlling of stool, controlling of urine, washing hair. According to independence to complete dependence functioning level, remarks pointed 1 to 3 points. The data were analyzed by chi-square, two-way anova using SPSS V. 12.0. Results : The results appeared that the mean score of the functions in activity of daily living of assistive products users was a 27.60, and that of non-users was a 30.66. Assistive products were not effected in Grade I and II recipients, but that effected in Grade III recipients. Conclusion : Preparing for activation of assistive products based Korean long-term care insurance system, the result application as follows is possible. The usage of assistive products could improve the function of daily living activity in older adults. Related to Grade III beneficiary elderly people were improved function in activity of daily living by using assistive products, it is necessary to extend coverage the non-eligible elderly people in Korean long-term care insurance system.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.39-48
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• 2020

This study intends to the estimate the determinants and state dependence of long-term care services in Korea. For this purpose, we analyzed the transition patterns among three states of long-term care service utilization over time by using the Korea Welfare Panel Study data with the random effect multinomial logit model. It is found that the result showed a strong state dependence in long-term care service utilization. Especially, long-term care insurance for the elderly showed a strong state dependence among others. Among the individual demographic characteristics, the higher the age, the higher the probability of using long-term care insurance for the elderly, while the lower the probability when married. The characteristics of the residential region showed that the residents of the urban-rural integrated region had a significantly higher probability of using long-term care insurance than the reference region. The results of this study suggest that the long-term care service users have a strong state dependence, which means that it is important to take into account the increase in the utilization period of existing users in future demand forecasting.