• Korean Journal of Occupational Health Nursing
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• v.25 no.1
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• pp.19-28
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• 2016

Purpose: This study was a descriptive research to identify the effects of communication skills, compassion satisfaction, compassion fatigue on burnout among staff of long term care insurance for the elderly in National Health Insurance Services in Korea. Methods: A descriptive cross-sectional design was used. The participants were 191 staffs of long-term care insurance in National Health Insurance Services. Data were collected via mail from the 24 branch offices which were randomly selected among the total of 226 centers of National Health Insurance Corporation. Stamm's professional quality of life (ProQOL) and Communication Skills Test tool were included in questionnaire to detect. SPSS/WIN 20.0 was used to conduct the descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression. Results: Compassion fatigue had a significant positive effect on burnout, while Compassion satisfaction had a negative effect on burnout. The explained variance for burnout was 69% and compassion fatigue was the most significant factor in burnout among staff of long term care insurance services. Conclusion: The results indicate that the factors influencing staffs' burnout are compassion fatigue, compassion satisfaction, and education level. Therefore, strategies to decrease compassion fatigue and improve compassion satisfaction are needed to decrease burnout for staffs of long-term care insurance in National Health Insurance Services.

• Journal of applied mathematics & informatics
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• v.32 no.3_4
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• pp.343-357
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• 2014

In many non-life insurance applications past data are given in a form known as the run-off triangle. Smoothing such data using parametric crisp regression models has long served as the basis of estimating future claim amounts and the reserves set aside to protect the insurer from future losses. In this article a fuzzy counterpart of the Hoerl curve, a well-known claim reserving regression model, is proposed to analyze the past claim data and to determine the reserves. The fuzzy Hoerl curve is more flexible and general than the one considered in the previous fuzzy literature in that it includes a categorical variable with multiple explanatory variables, which requires the development of the fuzzy analysis of covariance, or fuzzy ANCOVA. Using an actual insurance run-off claim data we show that the suggested fuzzy Hoerl curve based on the fuzzy ANCOVA gives reasonable claim reserves without stringent assumptions needed for the traditional regression approach in claim reserving.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.795-804
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• 2011

This study was performed to determine the levels of quality of life(QOL) according to the grade of long-term care service in the elderly people who affiliated from long-term care insurance, and to reveal its association with socio-demographic characteristics, health status and health related behaviors. The interviews were performed, during the period from March 1st, to May 31th, 2009, to 410 elderlies in rural areas. As a results, the levels of QOL were lower in the group of higher grade of long-term care insurance. In hierarchial multiple regression analysis, the factors influencing on the level QOL were age, Living status, Subjective health status, Bed ridden status, Disability of body, Urinary incontinence, Amnesia and Frequency of going out. Especially, the health status variables were higher related with QOL than other variables.

• Korean Security Journal
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• no.32
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• pp.151-176
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• 2012

Government organizations (including police, prosecutor, and Financial Supervisory Service) and programs to uncover or prevent from insurance crime are not well developed. However, insurance crime are increasing among not only private insurances such as life insurance, indemnity insurance, and auto insurance but also public insurances including national health insurance and industrial accident compensation insurance. The damages of crimes are serious in both economical and ethical perspectives. Insurance crime deteriorates a current account of insurance companies and the leakages due to insurance fraud worsen loss ratio. Consequently, insurance crime increases customers' costs of insurance. For this reason, insurance companies stated to establish Special Investigation Unit(SIU) to detect insurance crime and fraud by themselves. However, organizational and operational efficiencies are limited. The purpose of this study is to examine the relationship between work environment factors, perception of insurance crime and job satisfaction among Special Investigation Units. Therefore, this study investigated the perception of work environments of Special Investigation Units. In addition, this study examined how their work environments and general perception of insurance crime influence their job satisfaction. In order test the purpose of this study, reliability test, exploratory factor analysis(EFA), multiple regression were employed. The results of this study suggested that clarity of insurance company, distress/difficulty of resolve, compensation, perception of work pressure are statistically significant on jab satisfaction among Special Investigation Unit in South Korea. This exploratory study expected to contribute to understanding of Special Investigation Unit, and their insurance crime prevention system. The results from this analysis will be examined in light of previous findings and policy implications discussed.

• Korean Journal of Adult Nursing
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• v.27 no.3
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• pp.314-324
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• 2015

Purpose: The purpose of this study was to measure health-related quality of life (HRQOL) and the related factors according to gender in baby boomers by using Korea Health Panel Data 2012. Methods: The Korea Health Panel Data 2012 were collected from February to August 2012 by Korea Institute for Health and Social Affairs and National Health Insurance Corporation and the data of 1,802 respondents categorized as baby boomers were analyzed for this study. The data were analyzed by t-test, ${\chi}^2$ and multiple regression using SPSS/WIN 20.0 program. Results: For male, the influencing factors on HRQOL were economic activity and smoking. For female, the influencing factors on HRQOL were education, psychological and physical stress, unmet basic needs, and psychiatric drugs. The types of insurance, unmet medical needs, anxiety about the future, depression, and self-rated health status showed statistically significant relationships with HRQOL both for male and female. Conclusion: Health care providers are suggested to consider the founded gender differences in this study when they develop interventions for HRQOL improvement for baby boomers in a community.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.607-614
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• 2020

This secondary analysis study used the 2015 Korea Health Panel data to identify the difference of factors affecting the quality of life (QoL) of Korean adults with diabetes mellitus (DM). The data from 1,343 subjects who met the criteria for screening was analyzed by multiple linear regression and quantile regression analyses. As a result, the average QoL of the subjects was .86 (±.14). The factors affecting the QoL of the subjects were age, gender, education level, spouse, economic activity, type of health insurance, and regular physical activity (all p<.05). However, there were differences of the results when dividing the subjects into three groups according to their QoL level. The factors for the lower 25% group were age, gender, education level, spouse, economic activity, type of health insurance, and regular physical activity, and those factors for the middle 50% group were age, gender, education level, spouse, type of health insurance, and regular physical activity, and those factors for the top 75% group were spouse, economic activity, household income, type of health insurance, and duration of DM. Based on these results, it is important to develop and provide a differentiated intervention strategy that considers the influential factors in order to improve the QoL of Korean adults with DM.

• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1097-1114
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• 2014

Multiple-life policies pay a benefit on the first death or the last death among the group of lives. In practice, the future lifetime random variable of policy holders has been considered to be independent, but it is more rational to take into account the correlations among the policy holders. In this paper, the Gaussian copula is applied to re ect the correlations among policy holders and then to diversify the common shock of the multiple life policies which follows an exponential distribution. Five case studies demonstrate its usefulness of using copula in calculating the premiums of the multiple-life policies including the common shock.

• Journal of the Korean Operations Research and Management Science Society
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• v.7 no.1
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• pp.17-29
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• 1982

This paper is concerned with the application of the intervention analysis to the wholesale Trice index of Korea. There were four big shocks on the WPI during the last two decades, which were caused by the series of oil price hikes and changes in the foreign exchange rate. Intervention analysis of these multiple shocks revealed the nature and causalities of each shocks to the general price level of Korea.

• Health Policy and Management
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• v.19 no.3
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• pp.1-26
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• 2009

Objectives : To identify target areas and set priorities among those areas identified for national quality evaluation. Methods : Target areas were identified from: i) analysis of the national health insurance claims data, mortality and prevalence data ii) various group surveys, including representatives from 22 medical specialty associations, 19 physician associations, QI staffs in hospital, civil organizations, and commissioners of Health Insurance Review and Assessment Service(HIRA) ⅲ) literature reviews and RAM(RAND/UCLA appropriateness method). The priority areas for national quality evaluation represented the full spectrum of health care and the entire life span. The criteria for selecting the priority areas were impact, improvability, and measurability. The priority areas were divided into three categories : short-term, mid-term, long-term. Results: Based on the group surveys and the data analysis, 46 candidates were selected as quality evaluation priority areas. 13 areas were selected as having a short-term priority areas: tuberculosis, community acquired pneumonia, stroke, ischaemic heart disease, diabetes, hypertension, chronic lower respiratory disease(asthma, chronic obstructive pulmonary disease), intensive care unit, emergency room, nosocomial infection, use of antibiotics, multiple medication and renal failure. This results suggested that we need to enlarge the target priority areas to the chronic diseases in short-term. Conclusions: The priority areas identified from the study will assist healthcare quality associated institutions as well as HIRA in selecting quality evaluation areas. It is required to develope and implement strategies for improving the quality of care within the next 5 years.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.1-5
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• 2020

As the world gradually advances to an aging society, the quality of human life is valued. Among them, 'quality of sleep' is very closely related to quality of life. Recently, Korea expanded health insurance coverage for "sleep disorders". Particularly, as the number of sleep multiple tests and prescriptions for sleep aids has increased rapidly, much attention has been focused on the related medical service environment. Therefore, this study looked at an in-depth interview of 11 hospitals to see what treatment delivery system is being established when the government applies health insurance for 'sleep disorders'. In conclusion, the organizations with the most average number of sleep polyp tests per day were found to have more sleep polyp labs (hardware) and more full-time specialists. Also, the polysomnography lab (hardware) and the specialist's full-time status (software) did not necessarily result in a "positive pressure regulator prescription" that can solve "sleep apnea" caused by "sleep ailments". Rather, it was found that the number of days of sleep multiple laboratories (hardware), the number of full-time specialists (software) or the specialty majors (software) had a greater impact. In particular, the higher the specialist's full-time personnel (software) index (=6.000), the higher the sleep-inducing agent prescription rate(=1.000), and the lower the specialist's full-time personnel (software) index (=1.000), the higher the sleep-inducer's prescription rate(= 0.010) Was low. In addition, even if the professional full-time personnel(software) index was the same (=1.000), the hospital type was lower as it was closer to the public hospital(=0.067) and higher at the specialized hospital (= 0.933). In the case of university hospitals, when the full-time specialists (software) are in the same condition (= 1.000), the frequency of use of the sleep laboratory (=1.000) and the sleep test rate (= 1.000) were all the same.