• 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.

• 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.

• 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 Korean Journal of Health Service Management
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• v.8 no.3
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• pp.13-25
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• 2014

This research was performed to investigate the characteristics and determination factors on tertiary hospital inpatients. The used data was the four waves of Korea Health Panel(2008, 2009, 2010, 2011), and the number of subjects was 4,430 cases of tertiary and general hospital admission. The statistical methodology used in the study is the logistic regression model. The significant affecting factors in utilizing tertiary hospital admission were gender, marital status, education, household income, residence region and ICD-10 classification. Man, graduating college/university, married, high-income were socio-economic affecting factors in tertiary hospital admission. Medical need factor of ICD-10 classification and residence region of inpatients was also significant affecting factors in tertiary hospital admission. The 81.4% of inpatients at tertiary hospital had chronic disease and the 12.9% of inpatients readmitted, the 68.2% had a selecting doctor and the only 26.7% of inpatients reinforced by private medical insurance. This study recommended the Korean government to provide proper rule for tertiary hospital admission in order to improve the equity and efficiency of health care system.

• The Korean Journal of Health Service Management
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• v.10 no.4
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• pp.97-107
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• 2016

Objectives : This study aims to : (i) characterize and differentiate between two different periods of baby boomers, (ii) study the utilization of their health care services, and (iii) establish effective ways of providing better health service utilization and preventive policy strategies for upcoming and older generations. Methods : A multiple regression analysis using descriptive statistics, frequency analysis, and dummy variables was utilized to access the presence of correlations between socio-demographic factors and health care service utilization. Results : Medical insurance type, marital status, and chronic disease were factors that influenced health care service utilization. Furthermore, the factors that influenced individual medical expenses were cohabitation, inpatient days, and chronic disease. Conclusions : Primary findings and exploratory statistics revealed that there were strong correlations and interaction among some of the predictor variables. Because of the chronologically limited nature of the sample data set gathered in 2012, it would be helpful to continue to develop or research related constructs that may capture relationships more effectively among extended populations.

• Fire Science and Engineering
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• v.29 no.5
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• pp.96-103
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• 2015

This study investigates the socio-economic and clinical characteristics associated with emergency medical transport use by the elderly based on 2008~2011 Korea Health Panel data. A model of emergency medical transport use was analyzed, and the results indicate that use of 119 ambulances and private ambulances by the elderly accounted for 46.8% of all users, and 35.1% of their emergency room visits. Statistically significant factors associated with emergency medical transport use were gender (OR = 2.19, 95% CI = 1.51-3.17), relationship to household (OR = 2.19, 95% CI = 1.45-3.32), insurance type (OR = 1.41, 95% CI = 1.10-1.82), handicap (OR = 1.44, 95% CI = 1.14-1.83), reason for emergency department visits (OR = 1.53, 95% CI = 1.20-1.97), and treatment after emergency medical service completed (OR = 3.45, 95% CI = 2.80-4.25). The increased elderly population in an aging society will lead to a surge in demand for emergency patient transport services, and emergency medical services that are tailored to the elderly need to be developed accordingly.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.290-300
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• 2017

This study concerns whether the public spirit of medical services, which is the foundational goal of national hospitals, is being realized. To derive results regarding this question, it is necessary to identify the determinants that influence the choice of national hospitals. The data are based on the number of cases of medical service use among the data for 6 years from 2008 to 2013 in the Korea Medical Panel, and the subjects were limited to those who were 18 years old or older. In the final analysis, 14,365 cases of hospitalization service uses were employed. For the research method, Andersen's behavioral model theory was applied, and predisposing, enabling, and individual factors were determined to be variables. Logistic regression analysis was conducted to analyze the determinants of national hospital choice factors. It was found that the rate of use of national hospitals was very low, with 5.23% for hospitalization services. Furthermore, socioeconomically vulnerable people, such as the elderly, low-income people, the national meritorious and medical care beneficiaries, chronic patients, and disabled patients are more likely to choose national hospitals than private hospitals. Therefore, for the appropriate management of medical service use for low-income vulnerable groups, it is necessary to discuss the enhancement of primary medical care in national healthcare.

• 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 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.

• Korean Journal of Social Welfare Studies
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• v.40 no.3
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• pp.327-348
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• 2009

The purpose of this study is to understand the diverse lifestyles of Korean older adults by analyzing the consumption pattern of older households and its determinants. The 9th wave of the Korea Labor and Income Panel Study(KLIPS) data was used for analysis. The twenty consumption items provided by the dataset was reduced to thirteen according to the consumption purpose inherent in the item. K-means cluster analysis and multinomial logistic regression was employed to categorize the consumption pattern of older households and to analyze the determinants. The results are as follows. The consumption pattern of Korean older adults was clustered into six distinctive groups named Breadwinner, Leisure-time pursuer, Friendly outgoes, Daily-life survivor, Illness sufferer and Shelter seeker. Breadwinner, Leisure-time pursuer and Friendly outgoes were lifestyles that earn and spend more compared to the other three. Nevertheless, they differed according to the family size, indicating that the parenting burden might have direct influence on the lifestyle of Korean older adults. Older adults without parenting burden and with high level of education and economic capacity were likely to show Friendly outgoes lifestyle. On the other hand, Daily-life survivor, Illness sufferer and Shelter seeker showed lower level of spending, indicating that for those lacking in economic capacity, urgent needs such as medical need or housing need dominates the lifestyle. The results call for adequate custom policies that best fit the needs of older adults.