• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1329-1346
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• 2016

Korea Health Panel (KHP) data and Korea National Health and Nutrition Examination Survey (KNHANES) data are collected by self-assess and self-report for individual's health status and medical use. Previous studies have claimed that the reliability for prevalence rates and health life expectancies obtained from these data should be validated. National Health Insurance Services in Korea recently released a sample cohort DB that contain all data related to the use of medical facilities for all entire Korea citizens. It has been shown that disease-specific prevalence rates calculated from these data are representative and reliable for the entire population. In this paper, we evaluate the reliability of prevalence rates derived from self-reported data such as KHP and KNHANES by comparing to the prevalence rates from the sample cohort DB. We found that both KHP and KNHANES underestimate prevalence rates and in turn overestimate health life expectancies. Moreover, the general trends of health life expectancies might be distorted (except for the sample cohort DB) because of sampling and non-sampling errors.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.419-427
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• 2016

To examine whether the effect on utilization of ambulatory dental care are associated with oral disease according to pack-years of smoking in Korean population. Using data from Korea Health Panel between 2008 and 2012, we analyzed 3,866 participants who were male and more than 20 years. Pack-years of smoking were significantly associated with utilization in ambulatory dental care after adjustment for age, marital status, family income, and chronic disease. Ambulatory dental visitation frequency has been estimated to increase by 6% when 10.0 pack-years of smoking increased. Especially, the smokers who had 20.0~29.9 and 30.0 or more pack-years of smoking in forties and fifties males were 25% and 52% respectively more than non-smokers in utilization of ambulatory dental care.

• Fire Science and Engineering
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• v.28 no.3
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• pp.80-86
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• 2014

Based on 2009 Korea Health Panel, this study investigated socio-economic and clinical characteristics associated with emergency medical transport use, and analyzed a simple predictive model of emergency medical transport use. Analysis results were summarized as follows: First, emergency medical transports such as 119 ambulance were more used than private cars, taxis, or walk-in. Second, between a user group and a non-user group of emergency medical transports, there were statistically significant differences in age, the level of education, family composition, house type, household income, the relationship with the head of household, insurance types, the presence of handicap, the presence of chronic disease, reasons to emergency medical service use, and treatment after emergency medical service completed. Third, age, household income, the presence of handicap, reasons to emergency medical service use, and treatment after emergency medical service completed were statistically significant predictors associated with emergency medical transports use. To improve emergency medical service system, the characteristics and predictors associated with emergency medical transports are more concerned.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.625-633
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• 2017

The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.484-492
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• 2022

In this study, we used the Korea Health Panel Study for 2017 raw data as analytical data to understand the factors that affect the catastrophic health expenditures of the baby boomer generation and the final number of analyzed was 808 people. Analysis methods performed frequency analysis, crosstabulation, and multiple regression analysis, with p = .05 at the significance level for all validations. The statistically significant differences among the baby boomer generation were education level, marriage status, health insurence, household income, drinking, smoking, subjective health, outpatient care, and inpatient care. The average number of illnesses in the baby boomer generation was 8.14, of which 7.97 for male and 7.97 for female. The average number of outpatient visits was 16.81, of which 14.81 recalls for male and 26.89 for female. More than 40% of the ability to pay the catastrophic health expenditures rate was 15.3% for male and 26.3% for female. The factors affecting the catastrophic health expenditure of babyboomer generation are as follows. that influence the widow's fence medical expenses are as follows. Male were private insurance, household income, drinking, and inpatient care, and female were private insurance, household income, and drinking.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.4
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• pp.239-244
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• 2014

This research was carried out for the purpose of providing basic data to establish a policy for improving health and medical service inequality in the disabled's households, by analyzing it according to composed groups through the application of data about the panel survey of the employment for the disabled, from 2010 to 2012. The results of analysis showed that as for Gini's coefficient, disabled women, the disabled without participation in economic activities, the disabled in their 40s, physically handicapped people and severely disabled people had more and more inequality in expenditure of health care expenses, and inequality in North Gyeongsang Province continued to be on the rise. As for the entropy coefficient, disabled women, the disabled without participation in economic activities, the mentally disabled and severely disabled people had more and more inequality in consumption of health care, and the inequality got severe in Ulsan and North Gyeongsang Province. And as for the decomposition of factors by composed group, inequality in health care expenses were higher inside a group than between groups. Based on these results, research limitations and implications were suggested.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.366-375
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• 2016

This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.

• The Journal of the Convergence on Culture Technology
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• v.1 no.4
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• pp.87-101
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• 2015

This study was aimed to make data how much spent money of medical utilization and direct medical cost. In order to research we were using Korea Health panel 2012 Statistics which data contained Diabetes mellitus client 812 people in age 19. The method of this study was emergency cost, admission medical cost, out patient department cost(client own due, National Health insurance service due, not insurance fee). The result of this study, Diabete Mellitus client were using 198 times during 1 year per 100, total medical direct cost were 859,942 won, 447,359 won, 363,255,508. And admission times were 5.6 times per year, total direct cost was 772,240 won, 4,061,982 won, and 3,298,329,384 won, and out patient clinic using number was 10 times, medical cost total direct cost containing total direct cost was 11,978 won, 26,020 won, and 21,129,240 won. From this research we conclusion that the occurrence of diabetes mellitus can be increased medical cost and direct medical cost and it can be huge burden to client including their family and quality of life in the future. We suggest that in order to prevention and management of diabetes mellitus healthy diet, activity, blood sugar, and blood management should be encouragement.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.499-507
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• 2021

The purpose of this study is to analyse suicidal ideation and to identify the effect of health behavior and heath status on suicidal ideation of female baby boomers by using Korea Health Panel Data 2017. The Korea Health Panel Data 2017 were collected from February to June 2017 and included 1,319 people responded to the question whether suicidal ideation. The data were analyzed by chi-square, t-test and multiple logistic regression using SPSS WIN 25.0 program. The ratio of suicidal ideation was 3.1% in female baby boomers. Influencing factors to suicidal ideation in female baby boomers revealed that spouse, eating problem, activity restriction, and presence of depression had more suicidal ideation by 7.21 times(CI=1.15-6.36, p=.047), 4.44 times(CI=2.05-9.61, p<.001), 4.63 times(CI=1.63-13.16, p=.004), 12.12 times(CI=5.36-27.37, p<.001) respectively. Therefore, it is required to develop a suicide prevention program that considers the characteristics of female baby boomers and factors influencing suicidal ideation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.235-244
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• 2024

This study is a descriptive exploratory research aimed at identifying factors influencing the health-related quality of life(HRQOL) in middle-aged and senior-aged patients with complex chronic diseases. The study participants were extracted from the Korean Medical Panel annual data. A total of 2,408 patients, with two or more chronic diseases were included. The data were analyzed using STATA 15.0 software through descriptive statistics, t-tests, ANOVA, and multiple linear regression analysis. The research findings indicate that in middle-aged patients, educational level, household income, economic activity, stress, experience of despair, and basic needs satisfaction positively influence health-related quality of life. On the other hand, types of medical insurance, depressive feelings, and suicidal ideation exert a negative impact. In the case of senior-aged patients, positive influences on health-related quality of life were observed for educational level, household income, economic activity, alcohol consumption, stress, experience of despair, and basic needs satisfaction. Conversely, negative influences were noted for marital status, types of medical insurance, depressive feelings, and suicidal ideation. Therefore, in order to enhance the HRQOL for middle-aged and senior-aged patients with complex chronic diseases, tailored policies considering individual and age-specific characteristics should be formulated.