• Health Policy and Management
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• v.29 no.3
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• pp.245-247
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• 2019

Although 19 years have passed since the enforcement of the Framework Act on Health and Medical Services, the Plans for Development of Health and Medical Services has not been established. This Plan is a 5-year basic long-term plan that covers the whole of health and medical services. This Plan should point to the direction of 30 long-term plans of healthcare, and this Plan should serve as a combination and coordination of 30 long-term plans and 22 related laws. The United States, the United Kingdom, and Japan have established long-term healthcare plans (4-, 10-, and 20-year plans, respectively). The long-term health plan of the United States has been approached bottom-up, those of the United Kingdom and Japan have been approached top-down. The rapid environmental changes that Korea is and will be experiencing emphasize urgently the need for establishing the Plan for Development of Health and Medical Services.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.330-354
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• 2021

To know the long-term growth patterns and determinants of successful startups, 15-year (2006-2020) panel data of 252 companies that had a growth rate of over 20% every year in the last three years were used. In the first analysis, statistics on the period required to designate a gazelle company or listed on the stock market were examined. In addition, five long-term growth patterns were presented. In the panel analysis, the R&D intensity, operating profit ratio, size, and age of the company were pointed out as determinants of growth. The operating profit margin and R&D intensity have a positive effect on growth. Gibrat's law was not supported, but an inverted U-shape was observed. Jovanovic's law was confirmed. Although many studies tend not to point to profitability as a determinant of long-term growth, this is an important long-term growth factor of a company. The operating profit ratio was used in this study.

• The Korean Journal of Archival Studies
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• no.78
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• pp.79-151
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• 2023

The purpose of this study is to analyze the current state of long-term preservation policy for electronic records in Korea and to present future tasks. Although the current electronic record long-term preservation policy is not clearly codified, it can be said to consist of technical elements such as digital signature, hash, preservation format, and long-term preservation package. Each technological element was considered in order, and the limitations of the current policy and technology in the changing digital environment were analyzed and alternatives were presented.

• Korean Journal of Occupational Health Nursing
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• v.32 no.4
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• pp.141-151
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• 2023

Purpose: This study explored caregivers' support needs to relieve their physical burden while working in long-term care facilities. Methods: Participants were 12 caregivers with more than 10 years of experience working at six long-term care facilities in Gwangju, South Korea. Data were collected through individual interviews conducted between June and July 2023. The results were analyzed using qualitative content analysis. Results: Of the four sub-categories and 13 codes, two categories emerged: "need for welfare medical devices" and "need for improved working conditions." Conclusion: Caregivers working in long-term care facilities require support in deploying and utilizing welfare medical devices to reduce their physical burden, along with improving staffing standards and ensuring they receive the proper amount of days off. Therefore, it is necessary to mandate the provision of a certain level of welfare medical devices to ease the physical burden on caregivers and improve the standards for the placement of caregivers in long-term care facilities.

• Journal of Oral Medicine and Pain
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• v.11 no.1
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• pp.29-35
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• 1986

18 TMD patients who received occlusal adjustment in PNUH though Jan.1984 to 1985 were followed up for short-term(2-6yrs.) and long-term(1-2yrs.) evaluation. The obtained results were as follows : 1. Pain index showed gradual decrease after occlusal adjustment and significant change on long-term evaluation. 2. Noise index had no significant change throughout the all follow-up evaluation. 3. Opening limitation index showed gradual decrease after occlusal adjustment and significant change on both long-term and short-term evaluation. 4. Maximum comfortable opening exhibited more and more increase and significant change on long-term evaluation.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.13-24
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• 2022

In order to explore the context of fraudulent claims and the measures for preventing them targeting the long-term care institutions for the elderly, which is increasing every year in Korea, this study conducted the text mining analysis using the media report articles. The media report articles were collected from the news big data analysis system called 'BIG KINDS' for about 15 years from July 2008 when the Long-Term Care Insurance for the Elderly took effect, to February 28^th 2022. During this period of time, total 2,627 articles were collected under keywords like 'elderly care+fraudulent claims' and 'long-term care+fraudulent claims', and among them, total 946 articles were selected after excluding overlapped articles. In the results of the text mining analysis in this study, first, the top 10 keywords mentioned in the highest frequency in every section(July 1^st 2008-February 28^th 2022) were shown in the order of long-term care institution for the elderly, fraudulent claims, National Health Insurance Service, Long-Term Care Insurance for the Elderly, long-term care benefits(expenses), elderly care facilities, The Ministry of Health & Welfare, the elderly, report, and reward(payment). Second, in the results of the N-gram analysis, they were shown in the order of long-term care benefits(expenses) and fraudulent claims, fraudulent claims and long-care institution for the elderly, falsehood and fraudulent claims, report and reward(payment), and long-term care institution for the elderly and report. Third, the analysis of TF-IDF was similar to the results of the frequency analysis while the rankings of report, reward(payment), and increase moved up. Based on such results of the analysis above, this study presented the future direction for the prevention of fraudulent claims of long-term care institutions for the elderly.

• 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.

• Health Policy and Management
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• v.20 no.1
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• pp.37-63
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• 2010

Public expenditures on long-term care are a matter of concern for Korea as in many other countries. The expenditure is expected to accelerate and to put pressure on public budgets, adding to that arising from insufficient retirement schemes and other forms of social spending. This study tried to foresee how much health care spending could increase in the future considering demographic and non-demographic factors as the drivers of expenditure. Previous projections of future long-term expenditure were mainly based on a given relation between spending and age structure. However, although demographic factors will surely put upward pressure on long-term care costs, other non-demographic factors, such as labor cost increase and availability of informal care, should be taken into account as well. Also, the possibility of dynamic link between health status and longevity gains needs to be considered. The model in this study is cell-base and consists of three main parts. The first part estimated the numbers of elderly people with different levels of health status by age group, gender, household type. The second part estimated the levels of long-term care services required, by attaching a probability of receiving long-term care services to each cell using from the sample from current year. The third part of the model estimated long-term care expenditure, along the demographic and non-demographic factors' change in various scenarios. Public spending on long-term care could rise from the current level of 0.2~0.3% of GDP to around 0.44~2.30% by 2040.