• Korean Journal of Adult Nursing
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• v.28 no.6
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• pp.669-679
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• 2016

Purpose: The purpose of this study was to explore the reported good service experiences from the perspective of elderly residents of long-term care facilities. Methods: Of those residents who are 65 years old or older, 14 residents whose length of stay were one month or longer and scores of the K-Mini Mental State Examination were 15 or higher were interviewed. The interview data formed the basis for the empirical statements about the reported nature of patients' experiences as residents of long-term care facilities. These data were used in concept mapping. Results: Through multidimensional scaling analysis and hierarchical cluster analysis, 62 core statements, two dimensions, and six clusters of good service experiences were derived. The two dimensions were classified as 'care centered-participation centered services' and as 'physical-emotional services.' Six cluster themes emerged as good service experiences: 'safety of care and treatment', 'responsible and supportive staff', 'comfort of living environment', 'mental well-being', and 'respect and communication'. Conclusion: The result of the study provides information about what experiences are important to older adults with cognitive impairment. The concept map can be used to develop a patient experience index for the elderly residents of long-term care facilities.

• 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.

• 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.

• Steel and Composite Structures
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• v.26 no.3
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• pp.303-314
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• 2018

Drying shrinkage in concrete caused by drying and the associated decrease in moisture content is one of the most important factors influencing the long-term deflection of steel-concrete composite slabs. The presence of profiled steel decking at the bottom of the composite slab causes non-uniform drying from top and bottom of the slab resulting non-uniform drying shrinkage. In this paper, a hydro-mechanical analysis method is proposed to simulate the development of non-uniform shrinkage through the depth of the composite slab. It also demonstrates how this proposed analysis method can be used in conjunction with previously presented structural analysis model to calculate the effects of non-uniform shrinkage on the long-term deflection of the slab. The method uses concrete moisture diffusion model to simulate the non-uniform drying of composite slab. Then mechanical models are used to calculate resulting shrinkage strain from non-uniform drying and its effect on the long-term behaviour of the composite slabs. The performance of the proposed analysis method is validated against experimental data.

• The Journal of Industrial Distribution & Business
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• v.9 no.10
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• pp.83-89
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• 2018

Purpose - The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology - 2 (prior price trend: rising-up trend vs falling-down trend) × 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ² analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results - Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions - The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.

• Environmental Analysis Health and Toxicology
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• v.24 no.4
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• pp.311-320
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• 2009

The short term (24-hr) and long term (21 days) effects of copper, cadmium, fenbendazole and sulfathiazole on the survival of the Korean fairy shrimp Branchinella kugenumaensis were evaluated. The 24-hr median lethal concentrations ($LC_{50}$) of copper, cadmium, fenbendazole, and sulfathiazole were 39, 512, 182, and 31,818 ${\mu}g/L$, respectively. The toxicity of copper is highest among 4 chemicals used in this study, while sulfathazole the lowest. After the long term (21 days) exposure experiment, the $LC_{50}$ copper, cadmium, fenbendazole, and sulfathiazole were 1.12, 2.1, 0.1, 6.6 ${\mu}g/L$, respectively. The long term effects of antibiotics were highly enhanced while the short-term effects were not strong. The sensitivities of B. kugenumaensis to copper and cadmium were higher than or comparable to those of other freshwater branchiopods (Streptocephalus spp., Thamnocephalus sp.), and far higher than the marine species (Artemia sp.). There were significant effects on the survival of B. kugenumaensis after long term exposure to relatively lower concentrations of copper, cadmium, fenbendazole and sulfathiazole. Therefore, B. kugenumaensis seems quite a good candidate species for the ecotoxicological assessments of freshwater environments.

• Journal of Home Health Care Nursing
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• v.27 no.1
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• pp.16-28
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• 2020

Purpose: The aim of this study was to evaluate the efficiency of long-term care visiting nursing centers in communities using data envelopment analysis (DEA). Methods: Data were collected using a self-reported questionnaire. The average number of staff per 6 months and total space of center were used as input variables. The average number of clients per 6 months and the average profits per 6 months were used as output variables. EMS Window version 3.1 was used to measure the efficiency scores. Descriptive statistics and tobit regression were applied to analyze the general characteristics of the variables and the factors affecting efficiency scores. Results: The average efficiency of 30 long-term care visiting nursing centers in communities was approximately 66.9% on technical efficiency analysis, and 79.1% on scale efficiency analysis. Eight nursing centers on technical efficiency analysis and 12 centers on scale efficiency analysis had 100.0% efficiency. Conclusion: Our findings reveal that long-term care visiting nursing centers in communities have low operational efficiency. Therefore, it is essential to institute policies and regulations to improve the efficiency of visiting nursing centers and to strengthen the business competencies of center officers.

• Magazine of the Korean Society of Agricultural Engineers
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• v.18 no.3
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• pp.4184-4194
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• 1976

Located in the southwestern part of Korea, the Yong San Gang river flows generally northeast to southwest, and because of the specific location, topography and climate, the basin area is subject to recurrent drought and flood damages. To eliminate the cause of such damages and ensure an increase in the farm income by means of effective irrigation supply and increased cropping intensity, efforts are being made to speed up implementation of an integrated agricultural development project which would include construction. of an estuary dam and irrigation facilities as well as land development and tidal reclarnation. In formulating a basin development project plan, it is necessary to study a series of long-term runoff data. The catchment area at the proposed estuary damsite is 3,471$\textrm{km}^2$ with the total length of the river channel up to this point reaching 138km. An analysis of runoff in this area was carried out. Rainfall was estimated by the Thiessen Network based on records available from 15 of the rainfall observation stations within the area. Out of the 15 stations, Kwang Ju and Mok Po stations were keeping long-term precipitation records exceeding some 60 years while the others were in possession of only 5-10 years records. The long-term records kept by those stations located in the center of the basin were used as base records and records kept by the remaining stations were supplemented using the coefficient of correlation between the records kept by the base stations and the remainder. The analyses indicate that the average annual rainfall measured at Kwang Ju during 1940-1972 (33 years) amounts to 1,262mm and the areal rainfall amounts to 1,236mm. For the purpose of runoff analysis, 7 observatories, were set up in the middle and lower reaches of the river and periodic measurements made by these stations permitted analysis of water levels and river flows. In particular, the long-term data available from Na Ju station significantly contributed to the analysis. The analysis, made by 4-stage Tank method, shows that the average annual runoff during 1940-1972 amounts to 2,189 million ㎥ at the runoff rate of 51%. As for the amount of monthly runoff, the maximum is 484.2 million ㎥ in July while the minimum is 48.3 million ㎥ in January.

• Journal of Korean Academy of Nursing
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• v.39 no.3
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• pp.409-421
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• 2009

Purpose: In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered. Methods: The data were collected from the Health Insurance Review and Assessment Service(HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis. Results: The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%. Conclusion: The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.248-255
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• 2006

Among a variety of influencing components, time-variant seepage and long-term underground motion are important to understand the abnormal behavior of tunnels. Excessiveness of these two components could be the direct cause of severe damage on tunnels. however, it is not easy to quantify the effect of these on the behavior of tunnels. These parameters can be estimated by using inverse methods once the appropriate relationship between inputs and results are clarified. Various inverse methods or parameter estimation techniques such as artificial neural network and least square method can be used depending on the characteristics of given problems. Numerical analyses, experiments, or monitoring results are frequently used to prepare a set of inputs and results to establish the back analysis models. In this study, a back analysis method has been developed to estimate geotechnically hard-to-known parameters such as permeability of tunnel filter, underground water table, long-term rock mass load, size of damaged zone associated with seepage and long-term underground motion. The artificial neural network technique is adopted and the numerical models developed in the firstpart are used to prepare a set of data for learning process. Tunnel behavior especially the displacements of the lining has been exclusively investigated for the back analysis.