• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.139-152
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• 2002

This study was performed to estimate living cost for the elderly couple living in a city in Korea. Living cost means expenditure per month for elderly couple. It was assumed that the elderly couple will need different living cost according to their circumstances. The circumstances are health status, retirement status, and the level of living they want. The subjects were the elderly couple households over the age 65 of household head. Total number of subject was 1,649 households. Used data was Annual Report surveyed by National Statistical Office on the Family Income and Expenditure. Analysis of data was done through frequency, percentage, means, median using SAS Program. The results of this study were as follows: Their standard living cost was 844,980 won by pure relative standard line and 842,300 won by quasi relative standard lines. And minimum living cost was 713,400 won by the former, by the latter was 557,600 won (3/2 of median). And abundant Living cost was 1,068,020 won by the former, by the latter 1,263,450 won. The living cost of elderly households was about 81-83%, comparing with non-elderly households. Among the item of expenditure, the proportion of housing and medical care cost was larger than any other items.

• 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 Families and Better Life
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• v.33 no.1
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• pp.19-39
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• 2015

The purpose of the study was to examine the characteristics and economic status of deficit households. The data for this study were from The Household Income and Expenditure Survey in 2000, 2005, and 2010 conducted by the National Statistics Office (NSO). Deficit households were defined by those who had expenditures higher than their income. Among total households, the proportion of deficit households was 26.84% in 2000, 28.14% in 2005, and 27.15% in 2010. The average propensity to consume was 132.1 in 2005, which was higher than those in 2000 and 2010. Deficit households were classified into five types using cluster analysis: 1)overall-overconsumption group(33.07%), 2)basic needs group(26.33%), 3)transportation expenditure-dominated group(6.73%), 4)education expenditure-dominated group(27.63%), 5)health care expenditure-dominated group(6.24%). The overall-overconsumption group was the largest group of total households and the portion of this group among total households decreased by 4.97%p from 2005 to 2010. However, the education expenditure-dominated group increased by approximately 7.6%p over the period. It was also found that households in 2000 and 2010 were more likely to be in all five groups than households in 2005. Other major determinants of households with deficit were gender, age, number of family members, education level, dual income, home ownership, vehicle ownership, and income class.

• Korean Journal of Clinical Pharmacy
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• v.24 no.2
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• pp.126-134
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• 2014

Purpose: This study was aimed to examine the financial effect of 2-tiered copayment system on annual expenditure of pharmacy benefit in the National Health Insurance (NHI) of Korea, focusing on oral antidiabetic medications. Methods: 284 oral antidiabetic products with 14 different active single ingredients listed in the National Formulary of NHI (August 2009) were assigned to tier 1 or tier 2 according to the selected criteria. 10 different combinations of coinsurance rates were selected to estimate the changes in drug expenditure cost of NHI. Results: The annual drug cost was estimated based on the drug price per unit listed in the National Formulary and the used amount of products in 2009 from the IMS Health data of Korea. In the combinations of coinsurance rate of 20% for tier 1 and 40% for tier 2, the total annual drug cost was estimated to be reduced by 1.3% in the case of no change of generic and original drug consumptions, and to be reduced by 4.3% in the case of 10% increased generic drug consumptions. Conclusion: The tiered copayment system with optimal coinsurance rates appears to be a potential strategy to reduce the financial burden of NHI in Korea by promoting the use of generic products.

• Journal of East-West Nursing Research
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• v.15 no.2
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• pp.63-70
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• 2009

Purpose: The purpose of this study was to evaluate hospital service utilization by the types of hospitals in Type I Medicaid claims frequently cited by elderly beneficiaries. Methods: Three frequently claimed inpatient diseases were selected: cerebral infarction, hypertension and diabetes mellitus. Relevant data were collected for the year 2008 from the computer database of the National Health Insurance Corporation. The data was analyzed using SPSS by descriptive statistics, ANOVA and coefficient of variation. Results: The coefficient of variance of hospitalization per episode was higher than daily hospital expenditure among hospitals for all three diseases. The coefficient of variance of hospitalization per episode was highest for cerebral infarction. The coefficient of variation of hospital expenditure per hospital day was highest for hypertension. Conclusions: Evaluating of the volume and pattern of hospital service utilization and the appropriateness for hospital admission for Type-I Medicaid elderly beneficiaries is important for Medicaid-based case management.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.331-338
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• 2021

This study used data from the 10rd and 15th year of the Korean Welfare Panel to evaluate the effects of the Energy Voucher Program(EVP) on the consumption and expenditure of EVP users' households. The study consisted of program group using EVP and control group not using. Chi-square and t-test were used for the characteristic differences among the groups, and the difference of consumption expenditure was identified by multiple regression analysis. As a result, EVP had a statistically significant effect on the health care costs of EVP users' households, resulting in an increase in health care costs(𝛽=3.06). However, there was no statistically significant effect on the total cost of living, basic cost, education cost, and recreation/entertainment cost. Therefore, in order to increase the effectiveness of the EVP system, it is required to improve the EVP system by expanding the level of benefits and easing the qualification standards for the eligibility for benefits.

• 한국노년학
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• v.25 no.2
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• pp.109-126
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• 2005

Recently it has been encouraged in developed countries that labor force participation of the elderly is one of the means to cut down the cost of social welfare for them. However, empirical studies have rarely explored how work in later life contributes to national economy. Especially, even though 56.6 percent of elderly workers aged 65 and older engaged in agriculture and forestry in Korea, their contribution has been socio-economically overlooked. This study aims at examining the effect of farming labor in later life on social welfare expenditure. For this purpose, social welfare expenditure was defined as social benefits provided for the elderly by the social security in public sector and measured as transportation allowance, pension, livelihood aid, medical aid, and health insurance in 2003. Data were obtained from National Health Insurance Cooperation and 37 town/village offices and analyzed by 3 age groups; 65~74, 75~84, and 85 and over using SPSS/PC windows program. Results showed that both livelihood and medical support in all age groups were expended more to non-farm than to farm workers. The amount differences per person between them were 113,959~361,132 won in livelihood support and 15,644~51,418 won in medical support. Also, participation in farming influence reduction of livelihood expenditure for the group 65~74 and 75~84 and that of medical expenditure only for the group 65~74. Based on these results, it was estimated the amount of social welfare expenditure reduced by farming labor in later life. The limit of this study and the policy implications of the results are discussed.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2713-2717
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• 2014

Background: Cancer imposes significant economic challenges for individuals, families, and society. Households of cancer patients often experience income loss due to change in job status and/or excessive medical expenses. Thus, we examined whether changes in economic status for such households is affected by catastrophic health expenditures. Materials and Methods: We used the Korea Health Panel Survey (KHPS) Panel $1^{st}-4^{th}$ (2008-2011 subjects) data and extracted records from 211 out of 5,332 households in the database for this study. To identify factors associated with catastrophic health expenditures and, in particular, to examine the relationship between change in economic status and catastrophic health expenditures, we conducted a generalized linear model analysis. Results: Among 211 households with cancer patients, 84 (39.8%) experienced catastrophic health expenditures, while 127 (40.2%) did not show evidence of catastrophic medical costs. If a change in economic status results from a change in job status for head of household (job loss), these households are more likely to incur catastrophic health expenditure than households who have not experienced a change in job status (odds ratios (ORs)=2.17, 2.63, respectively). A comparison between households with a newly-diagnosed patient versus households with patients having lived with cancer for one or two years, showed the longer patients had cancer, the more likely their households incurred catastrophic medical costs (OR=1.78, 1.36, respectively). Conclusions: Change in economic status of households in which the cancer patient was the head of household was associated with a greater likelihood that the household would incur catastrophic health costs. It is imperative that the Korean government connect health and labor policies in order to develop economic programs to assist households with cancer patients.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.145-150
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• 2017

This study aims to analyze panel data using OECD Health data of 34 years to examine how significant the inequality of income is to the inequality of health. The data was from OECD's pooled Health data of 32 countries from 1980 to 2013. The process of determining analysis model was as follows; First, through the descriptive statistics, we examined averages and standard deviation of variables. Second, Lagrange multiplier test has done. Third, through the F-test, we compared Least squares method and Fixed effect model. Lastly, by Hausman test, we determined proper model and examined effective factor using the model. As a result, rather than Pooled OLS Model, Fixed Effect Model was shown as effective in order to consider the characteristics of individual in the panel. The results are as follows: First, as relative poverty rate(${\beta}=-19.264$, p<.01) grows, people's life expectancy decreases. Second, as the rate of smoking(${\beta}=-.125$, p<.05) and the rate of unemployment (${\beta}=-.081$, p<.01) grows, people's life expectancy decreases. Third, as health expenditure(${\beta}=.414$, p<.01) shares more amount of GDP and as the number of hospital beds(${\beta}=-.190$, p<.05) grows, people's life expectancy increases.

• Health Policy and Management
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• v.4 no.2
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• pp.77-110
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• 1994

This study is an empiriacl analysis of effects of government intervention on the health care delivery system in Korea. The purposes of this study are to find out the effects of government intervention on the per capita national health expenditure(per capita NHE), crude mortality rate(CMR), and institutional efficiency. Here, the institutional efficiency is defined as a formula shown below: log$\frac{100-curde mortality rate }{per capita NHE}$$\times$100. The formula indicates that the instiutional efficiency increases if the CMR and/or per capita NHE goes down. In the meantime the government intervention is measured by six independent variables: I) the degree of social developments, ii) the numberr of physicians per 100, 000 population, iii) the proportion of specialists among the total physicians, iv) the proportion of public expenditure among the NHE, v) the proportion of public beds to the total number of beds, vi) the proportion of physicians working at the public sector to the total number of physicians. In the above six independent variables iv), v) and vi) are the ones that reflect the degree of government intervention. In actual calculation, the two independent variables v) and vi) are integrated into a new variable based on one to one correspondence. The materials used are the time-series data from 1970 through 1990 in Korea. A path analysis and the time-series regression analysis were adopted to estimate and examine the causal relationship between variables involved. And decomposition of the effect of causal relationship is made to find net effect, direct and indirect effect. The major findings are as follows; 1. The effect of public expenditure, number of physicians per 100, 000 population, the proportion of specialists among the total physicians and social development shows a positive relationship with per capita NHE. Only if the government intervention would be counted, the effects of the number of physicians and the proportion of specialists succeed in containing per capita NHE. 2. In additionn to the above four variables, one additional variable, per capita NHE, was also responsible for the reduction of CMR. The factor of social development found to be the most potent predictor of the CMR reduction. However, the CMR reduction due to government intervention was negligible. 3. Meanwhile, the above four variables were found to was have negative effects on the institutional efficiency. The reverse is true when the government intervention is counted. For example, the number of physicians and the proportion of specialists have played a positive role in raising institutional efficiency via goverment intervention. This comes from the factual effect that the increment of institutional efficiency via the reduction of per capita NHE is bigger than via the reduction of CMR.