• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.385-392
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• 2022

The purpose of this study was to identify the degree of medical inequality in medical vulnerable areas, especially in the southwestern islands, and to prepare improvements. As a research method, 14 pieces were analyzed by systematic literature review with keywords such as 'medical vulnerability', 'medical inequality', and 'island area', and a focus group or in-depth interview (FGI) was conducted on 9 medical personnel in the public medical delivery system to identify the current status and demand. As a result of the study, medical inequality in the southwest region, especially in island areas, was confirmed, and the lack of professional manpower and administrative support system were confirmed through FGI. As a result of the study, it was confirmed that realistic measures should be prepared to increase the efficiency of public health care as well as active administrative support to improve the vulnerability of island areas.

• 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.19 no.5
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• pp.331-341
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• 2019

The purpose of this analysis is to examine the effects of health expenditure on income inequality on household income after the financial crisis by using the household income survey form 1996 to 2016. The main results are as follows. First, after the financial crisis, the gross income inequality of households has been changing steadily, though there has been a slight change in each year. Second, high-income earners spend more on health care expenditure by income level. Therefore, unequal levels are maintained. Third, the Gini coefficient of income excluding health care expenditure was calculated. The results of the analysis are larger than the Gini coefficient of total income. Income inequality is intensified by the expenditure of health care expenditure of households. The inequality of household income due to health care expenditure has been increasing steadily since the financial crisis. Efforts such as strengthening the protection of health insurance have been continuously carried out for the purpose of reducing the burden of the national medical expenses. However, it does not contribute to resolving income inequality. In the future, it will be necessary to provide a more selective medical support system to reduce the medical expenditure of the low income class.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.49-57
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• 2018

This study aims to identify the inequalities and characteristics of health care expenditure of the elderly and non-elderly households by income level. As a result, health care expenditure of elderly households was statistically significantly higher than that of non-elderly households. As a result of calculating the concentration index of health care expenditure by income level, inequality was higher in order of non-elderly households, elderly households, and total households. In order to confirm the effect of health expenditure on household income inequality, we calculated the concentration index of income excluding total health care expenditure from total income. As a result, inequality was higher in order of elderly households, whole households, and non-elderly households. There was not much difference in inequality of health care expenditure among elderly households and non-elderly households. And, the health care expenditure of elderly households was much higher than that of non-elderly households. Also, inequality of health care expenditure by income group was serious. There should be no cases where the medical care support policy for elderly households can not use necessary medical services.

• 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.5 no.1
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• pp.311-318
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• 2019

Dying alone is an emerging social problem in South Korea. It is reported that most cases of dying alone showed various and chronic health problems. Despite of this situation, there existed neither medical support nor welfare services when dying. It indicated severe health inequality problems. With this background, the purpose of this study was to examine health inequality issue among dying alone cases by using news paper articles during the past three years(2016-2018). Content analysis was employed for 89 dying alone cases. Characteristics of dying alone cases, types of illness and health problems, and unmet medical services were analyzed. Based on the findings, future directions were addressed.

• 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.

• International Area Studies Review
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• v.20 no.2
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• pp.175-194
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• 2016

In this study, we aimed to identify the impact of socioeconomic characteristics on the health status of Chinese, which suggests that there might be the phenomena of health inequality in China. We used the year 2000, 2004 and 2009 pooled cross-sectional data of China Health and Nutrition Survey (CHNS), and utilized the Ordinary Least Square model (OLS) and Ordered Logit Estimation Method for this purpose. Empirical results showed that socioeconomic status and year dummy variables have a meaningful impact on Chinese health status. Therefore, we conclude that the phenomenon of health inequality has existed in China since 2000.

• Korean Journal of Social Welfare Studies
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• v.43 no.2
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• pp.319-344
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• 2012

This study decomposed Concentration Index(CI) and Hiwv Index(HI) of medical care utilization by subgroups: sex, age group, and region. CI and HI were decomposed into "the between group" component, "within group" component, and a residual. The results of analysis are summarized as follows; First, there was no influence of sex on the equity of medical care utilization measured by the numbers of visiting clinic. However, "within group" component of female explained .0441 among HI, .1035. This means that poor women's underutilization of medical care is the important factor in determining its degree of equity. Second, age groups had a decisive effect on the equity of medical care utilization measured by the numbers of visiting clinic. they explained -.0085 among HI, -.0170. Third, internal equality within elderly group was the most important factor in determining HI measured by the medical care cost. Finally, "within group" component of urban area explained .0535 amomg HI, ,1035 measured by medical care cost. This indicated that the urban poor's underutilization of medical care was very important factor in explaining its degree of equity. There was the poor's underutilization of medical care within the groups as female, the elderly, and urban areas. This significantly explained the equity of medical care costs.

• 한국노년학
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• v.36 no.3
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• pp.611-632
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• 2016

Solutions for elderly health issues need to be found that take into account not only a medical perspective, but also interactions with social conditions such as socioeconomic status. With this in mind, this study aims to understand how socioeconomic status leads to health inequalities for the elderly. Specifically, this study investigates the mediating effects of socioeconomic status(income and education levels), health activities as an intermediary of the three dimensions of physical health(medical health, functional health, subjective health), accessibility of medical facilities, social participation, and social network. To test the research model, a secondary data analysis was conducted on the 2014 National Survey of Senior Citizens. The participants of the study were 10,451 elderly men and women aged 65 and above. To test the mediated model, hierarchical multiple regression analysis was conducted following the procedures suggested by Baron and Kenny(1986). In addition, a Sobel test was conducted to test the mediated model's significance. According to the analysis, the effects of income and educational levels on the health of the elderly were not the same. Additionally, different results were found depending on health dimensions. However, the overall direction of the results showed that the socioeconomic status of the elderly creates health disparities, and health behaviors, accessibility of medical facilities, social participation, and social network had significant mediation effects between socioeconomic status and physical health. Study findings especially worth noting are as follows: education was shown to have a stronger effect on health than income; effects of social integration factors such as social participation were highlighted; and significant mediating effects on the accessibility of medical facilities remained even after taking residential area into account. Results of this study shed light on health inequality mechanisms due to socioeconomic conditions and the need to find alternatives to alleviate these problems.