• Health Policy and Management
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• v.15 no.1
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• pp.30-56
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• 2005

This paper used two threshold approaches to measure the equity in urban households' out-of-pocket payments for health care from 1997 to 2002, which developed by Wagstaff and van Doorslaer. One approach used catastrophic health expenditure, which means that payments exceed a 'pre-specified proportion' of total consumption expenditures or ability to pay and the other used impoverishment that they did not drive households into poverty. Indicies for 'catastrophic expenditure' captured intensity as well as its incidence and also the degree of which catastrophic payments occur disproportionately among poor households. Measure of poverty impact also captured both intensity and incidence. The methods applied with data on out-of-pocket payments from the Urban Household Expenditure Survey Incidence and intensity of catastrophic payments - both in terms of total household consumption as well as ability to pay - increased between 1997 and 2002, and that both incidence and intensity of 'catastrophic expenditure' became less concentrated among the poor, but more concentrated in 2001 than in 1997. The incidence and intensity of the poverty impact of out-of-pocket payments increased between 1997 and 2002. Health security system may not have provided financial protection against catastrophic health expenditure to low-income households, because of high user fee policy not considering income level. The policies alleviating catastrophic health payments among the poor need to be more developed, and two threshold approaches further evaluated on our policy context.

• Health Policy and Management
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• v.21 no.2
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• pp.159-178
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• 2011

Korea ranks high among the OECD member countries with a high out-of-pocket share. In 2006, the government implemented in full scale the policy of extending the health insurance benefit coverage. Included in the policy are lowering the out-of-pocket share of patients of serious case and expanding the medical bill ceiling system to mention just a few. This study proposes to confirm effectiveness of the benefit extension policy by identifying changes in 'out-of-pocket expenditure as a share of the ability to pay' and 'incidence rate of catastrophic health care expenditure' of each individual household as manifested before and after the benefit extension policy was implemented. The 1st and 3rd year data from the Korea Welfare Panel Study (KoWePS), conducted by the Korea Institute for Health and Social Affairs (KIHASA), were used for the analysis, where low-income households and ordinary households are sampled separately. While the absolute amount of 'out-of-pocket expenditure' occurred to the average household increased for the period 2005-2007, the 'out-of-pocket expenditure as a share of the ability to pay' decreased. At the same time, the share decreased in the case of low-income households and households with patients of chronic or serious case as contrasted with ordinary households. 'Incidence rates of catastrophic health care expenditure' of ordinary households for 2007 stood at 14.6%, 5.9% and 2.8% at the threshold of 10%, 20% and 30%, respectively. The rates decreased overall between 2005 and 2007, while those of low-income households with patients of serious case statistically significantly increased. An analysis of this study indicates that it is related with the medical bill ceiling system regardless of incomes introduced in 2007.

• Journal of the Korean Home Economics Association
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• v.45 no.10
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• pp.45-57
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• 2007

The causes of indebted overspending were investigated by examining household expenditure patterns using the data from the 2002 Family Expenditure Survey. The five major expenditure categories were identified by factor analysis, and the six types of indebted overspending were clustered. About 28% of the indebted overspending was done out of necessity, and food, utilities, housing, and health care accounted for about 42% of the household expenditure. Luxury spending accounted for about 25% of the overspending by indebted households who spent about 24% of the household expenditure on clothing, entertainment, and private education. Cars (22%) and education (20%) were found to be other major causes of indebted overspending. Paying off debt and durable purchases were identified as the major causes of indebted overspending, but had a low frequency. Finally, the financial status of the four major types of indebted overspending households was evaluated.

• 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.

• Health Policy and Management
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• v.32 no.1
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• pp.107-112
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• 2022

Catastrophic healthcare expenditure refers to out-of-pocket spending for healthcare exceeding a certain proportion of a household's income and can lead to subsequent impoverishment. The aim of this study was to investigate the proportion of South Korean households that experienced catastrophic healthcare expenditure between 2006 and 2020 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of household with catastrophic healthcare expenditure. In the NaSTaB 2020 data, households who experienced catastrophic health expenditure was 1.73%. Trend analysis was significant with the decreasing trend (annual percentage change [APC], -5.55; p<0.0001) in the proportion of households with the catastrophic health expenditure. Also, in the 2018 KHP and the 2016 HIES, households who experienced catastrophic health expenditure was 2.21% and 2.92% respectively. In contrast, the trend was significantly increased in the KHP (APC, 0.55; p<0.0001) and the HIES (APC, 1.43; p<0.0001). Therefore, the findings suggest the need to strengthen public health care financial support and monitor catastrophic healthcare expenditures, especially for low-income group.

• Health Policy and Management
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• v.22 no.2
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• pp.207-224
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• 2012

This study estimates the total health expenditure of ambulatory dental care and explores the factors related to disbursements. The study used two waves of a 2008 Korea Health Panel (KHP) survey, of which each wave is composed of 7866 households and 24,659 persons. The KHP includes missing expanses of reimbursement data of the National Health Insurance (NHI), such as out-of-pocket, drugs, and private health insurance. The study estimates total monthly ambulatory dental expenditure and the sub-special categories of dental care. For influential factors analyses, the study exploits log-linear model with age, gender, education, job, equivalence income, the status of chronic diseases, means-tested benefit recipients, private insurance, and the composite deprivation index as independent variables. The total monthly outpatient health spending is estimated to be 102,468 won per household, and for dental, each household spends 31,115 won per month. Older age, means-test recipients, non-regular workers are more likely to spend less money on dental care, whereas private insurers, high income, and those who live in less deprived areas are more likely to spend more money for dental services. From the study we found that the KHP data are more suitable to estimate the total amount of health care markets, especially when the NHI coverage is low, such as for dental care in Korea.

• Health Policy and Management
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• v.30 no.4
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• pp.467-478
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• 2020

Background: The purpose of this study is to explain the factors influencing the incurrence of catastrophic health expenditure of national health insurance households using panel data observed over a long period. Methods: The study targeted 3,652 households who had no censoring during the 11-year survey period (2007-2017) and householders whose insurance type was consistently maintained as national health insurance. Generalized estimating equations were adopted to identify factors affecting the occurrence of catastrophic health expenditure at 20%, 30%, and 40% threshold levels. A subgroup analysis was conducted by categorizing groups depending on the existence of the elderly in the household. Results: For the last 11 years, the incidence of catastrophic health expenditure in the households without the elderly decreased slightly at all threshold levels, but the households with the elderly seemed to be increased. At baseline, household type showed a statistically significant relationship with all other variables. The results of generalized estimating equations analyses show that household income was not significant at all threshold levels in the households without elderly. On the other hand, in the households with the elderly, the 2nd (odds ratio [OR], 1.33-2.05) and 3rd quintile groups (OR, 1.25-2.55) were more likely to have catastrophic health expenditure compared to the 1st quintile of household income group. Conclusion: As the amount of health expenditures relative to the ability to pay is increasing in households with the elderly, the application of an intervention followed by consistent monitoring is needed. This study found that there were differences in influencing factors according to the presence of the elderly in the households. In particular, in households with the elderly, interesting results have been drawn regarding the occurrence of catastrophic health expenditure in the near-poor, so additional research is required.

• Journal of Preventive Medicine and Public Health
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• v.28 no.2 s.50
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• pp.347-363
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• 1995

The increase of health care expenditures is an important problem in the almost countries. Also, suppression of the health care expenditures is an important problem in the health field of Korea since the national health insurance for total people in 1989. Thus, it is very important to grasp the change of the health care expenditures of family and proportions of the health care expenditures to total expenditures of family, because they are the basis of national health care expenditures in Korea. While the health care expenditures of urban family were increased during 1980-1993 by 12.8% annually, the total expenditures of urban family were increased by 14.8% annually. Consequently, the proportions of health care expenditures to total expenditures were decreased from 5.98% to 4.76%. The proportions of health care expenditure for 3 years to come were predicted to 4.75% in 1994, 4.67% in 1995, and 4.63% in 1996 by the time-series analysis. That is, it was predicted that they would be decreasing slowly. The product elasticity of health care expenditure was less than 1 in the multiple regression analysis. so the health care is normal good rather than superior good. Therefore, it seems that the household economy is able to bear the expense pursuing the improvement of quality of health care by actualizing the medical insurance fee.

• Journal of the Korean Home Economics Association
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• v.39 no.3
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• pp.93-105
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• 2001

The purpose of this study was to examine the factors associated with health insurance expenditures of the employed in the US. The data were from the 1994 Consumer Expenditure Surrey and the sample selected was admits aged 18 to 64 who were either a single head of household or part of a married couple. Results of Tobit regression indicated that age, education, and occupation of household head, region of residence, number of earners, homeownership(as a proxy for wealth), total expenditure(as a proxy for income), health care expenditures(as a proxy for health status) are significantly related to out-of-pocket health insurance expenditures by the employed.

• Human Ecology Research
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• v.57 no.1
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• pp.143-157
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• 2019

This study analyzed per capita expenditure (food expenses, housing expenses, health care costs, and cultural & entertainment expenses) by the consumption quintile for middle and older elderly households in addition to personal characteristics, household characteristics and economic factors affecting it. A sample collected from the 6th KLoSHA in 2016, was 2,983 households. First, among each per capita expenditure, the largest expenditure was food expenses, followed by housing expenses, health care costs and cultural & entertainment expenses. Compared with the first quintile of personal consumption expenditure, the largest increase in the fifth quintile was food expenses, followed by cultural & entertainment expenses, housing expenses, and health care costs. Second, compared to the fifth quintile of per capita food expenses, all other quintile had negative effects, and only the first quintile showed a negative effect compared to the fifth quintile of per capita housing expenses. The first, the second, and third quintile had a negative effect compared to the fifth quintile of per capita health care costs. Compared with the fifth quintile of per capita cultural & entertainment expenses, only the third quintile showed a negative effect. Third, in all quintile of per capita food expenses, the most influential variable from the first quintile to the third quintile was marital status, while in the fourth and fifth quintile included household income. In all quintile of per capita health care costs, health status was the most influential variable from the first quintile to the fourth quintile, and residence was in the fifth quintile.