the purpose of this study is to investigate the effect of household type on human capital enhancement expenditures and to compare the difference in these expenditures between female-hemale-headed and married-couple households. Data for this study were from the 1990-91 Consumer Expenditure Survey(CES) and consisted of a sample of 7,225 married-couple and 1,391 female-headed households with children under age 18. The dependent variable to measure human capital expenditures was the sum of four sub-components-education reading leisure and health care expenditures. Tobit analysis with a dummy variable for household type was used to identify the effect of household type on the dollars spent on human capital expenditures. The effect of household type was significant in human capital expenditures indicating that female-headed households spent significantly less for this category than did married-couple household holding other factors constant. the findings of this study suggested that income from a public assistance program was associated with lesser expenditures on human capital while social security income source was associated with greater human capital expenditures, It was also found that the addition of family members between ages of 6 and 17 positively affected human capital expenditures. Understanding these factors is useful for family resource management professionals who work with female-headed households.
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.
This study was conducted to examine the determinant factors for expenditure of the medical insurance program for self-employeds based on the analysis of 1991 'The Medical Insurance Program for Self-Employeds Statistical Yearbook', and also similar yearbooks in the metropolitan and other provinces. The major findings are as follows : We have divided benefits into these four components such as the utilization rate for out-patients, expenses per claim for out-patients as paid by the insurer, utilization rate for in-patients, and the expenses per claim for in-patients as paid by the insurer, in order to examine the determinant factors for it. The results of the study revealed the following findings, in urban areas, the supply of medical care had more influence on the benefits than other demographic and economic variables, while, in county areas, both the supply of medical care and the rate of those aged over 65 affected the provision of benefits. The determinant factors for financial balance of the medical insurance program for self-employeds are, first, the determinant factor for administrative expenses was the number of households. The more the number of households, the less the administrative expenses per the insured. This shows that the economy of scale is being. And so, the administrative district must be taken into consideration in the incorporation of small regional medical societies and should be re-organized for more efficient management. Second, in urban areas, the supply of medical care had more influence on utilization rate and expenses per claim as paid by insurer, and therefore it is necessary to control it. In county areas, the supply of medical care and the rate of those aged over 65 raised the utilization rate and expenses per claim as paid by insurer. For the financial stability of county areas, a common fund for medical care for the aged and expansion of finance stabilization fund would be necessary. But, in county areas, it would be unnecessary to control the supply of medical care because it was much more insufficient than in urban areas. The vitalization of public health facilities must be carried out in county areas, for they reduced benefits. Sice the more insured in a single household, the less the utilization of the medical insurance program, benefits for habilitation at home should be given consideration. The law of majority and the economy of scale were applied here, and therefore the incorporation of regional medical societies must be taken into consideration. In integrating regional medical societies, it would be absolutely necessary to review the structural differences among all regional medical societies, the medical demand of each region, and also the local characteristics of each region.
This study focuses on the healthcare sector in Vietnam which is promoting universal health insurance for the achievement of Universal Health Coverage (UHC) under Sustainable Development Goals (SDGs). The purpose of this study is to examine the characteristics of the reform process of the health care system and the law on health insurance through the historical and cultural contexts and its implications from the perspective of development. Based on the three dimensions of UHC - extension of protection for population, provision of various medical services, and financial protection, the current status of the Vietnam healthcare sector is summarized respectively as follows. First, according to the revised Health Insurance law which came into effect in 2015, the mandatory health insurance premiums are calculated based on household units. Second, there is a medical network that can provide preventive and healthcare services centered on primary health care facilities, for example commune health stations (trạm y $t{\hat{e}}$$X{\tilde{a}}$). Third, out-of-pocket expenditure is still a large proportion although public spending has increased and private spending has decreased since the enforcement of the health insurance law and various schemes. Vietnam is currently striving towards a universal health care system. The development of institutions and systems should be designed in a way that is appropriate for the members of the society rather than efficiency. This article findings shed light on the role of social values, family culture, and informal institutions.
Background: The purpose of this study is to examine the characteristics of and factors associated with long-term care (LTC) utilization under public long-term care insurance (LTCI) among end-of-life older adults in Korea. Methods: Using a 5% sample of older people aged 65 or older and their health and LTC insurance data, two-part model analyses were conducted. We compared LTC uses and their determinants during the last year of life among decedents in the year 2010 with those of survivors. We also compared the medical uses of the same sample with their LTC uses. Results: The end-of-life elderly were more likely to use LTC, and their expenditure on LTC was higher than their counterparts. Whether or not older people used LTC during their last year of life was significantly affected by age, sex, health insurance, household income, and living alone; however, LTC costs of the decedents were only affected by functional status, which may have been due to the reimbursement scheme of the current LTCI, which is mainly based on functional dependency level. For the survivors, having chronic diseases significantly increased the likelihood of LTC use, which was not the case for the decedents. End-of-life elderly with relatively low social economic status were more likely to use the LTC other than medical services, while the health conditions affected their medical uses most significantly. Conclusion: The study findings provide key information for predicting demand related to the increasing LTC needs of Korean older people at the end of life.
Objectives: This study aimed to verify the impact of dental health care insurance coverage policy by analyzing the changes in dental care utilization and expenditures over 5 years from 2012 to 2016, when the dental health insurance coverage expansion policy was implemented. From the national cohort data collected by the Korea Health Panel Survey, a retrospective study was conducted for all household members using dental services. Methods: This study statistically verified the difference in the dependent variables by frequency analysis, chi-square test, t-test, and one-way analysis of variance (SPSS version 22, IBM Co. USA, p<0.05). Results: The annual utilization rate steadily increased from 23.4% to 26.1% between 2012 and 2016. Although there were differences in utilization rates by gender, age, and income level, patients kept using the dental services in 2016 regardless of the type of health insurance. The average annual copayment for patient expenditures (out-of-pocket amount) increased from ₩463,844 to ₩537,401 in 2012 and 2016, respectively. Of the dental care expenditures over 5 years, the ratio of uninsured expenses by the elderly decreased from 38.5% to 25.9%, and the national health insurance service coverage increased from 40.3% to 49.1%. Conclusions: Although this policy did not reduce overall patient expenditures, it has been found that there was a positive effect on the elderly and low-income groups; it increased the utilization and access to dental services.
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.
Since the introduction of mandatory health insurance in In, the Korean national health insurance(KNHI) has grown rapidly. In 2004, about $96.9\%$ of the total population are covered by the KNHI and the remaining $3.1\%$ by the Medical Aid program. Despite national health insurance system in Korea, private health insurance market has grown rapidly. In 2004, the size of the private health insurance market was estimated at 6,568 billion won. The purpose of this study Is to identify the factors that determine the purchasing decisions of supplementary private health insurance under mandatory national health insurance system in Korea. The data from n04 Busan Health Survey were analysed for the Purpose. The variables in this study are demographic factors, health status and health behavioral factors, health care systemic factors, and socioeconomic factors. For statistical analyse, we used logistic regression. The Findings show that female, economically active age group(especially 35-49 years), persons with better health status or experience of health screening test are more likely to purchase private health insurance. And higher household income and expenditure, higher education level are more associated with the increased probabilities of private health insurance purchases. This results imply that the expanding of private health insurance market could widen the gap between the have and have-not in terms of equal health care accessibility.
This study compared one-child households' economic structures between those who determined not to have more children and those who have a birth plan. This study examined the demographic characteristics and economic variables such as income, consumption expenditures, assets. debt, and a subjective evaluation of future economic status. Especially, it compared the effects of socioeconomic variables on expenditures on a child between low-fertility and birth-planned households. From a questionnaire completed by a husband or wife of one-child households, 154 low-fertility households and 201 birth-planned households were obtained. A t-test, chi-square test, multiple regression analysis and a dummy variable interaction technique were used. The findings of this study are as follows: First, low-fertility households were older, had higher income, and had more educated, employed wives. Their marital duration was longer, and their child was older than those of birth-planned households. Second, low-fertility households had higher consumption expenditures than did birth-planned households. Especially, expenditures of apparel and shoes, health care, education, and entertainment were significantly higher for low-fertility households. Also, low-fertility households spent more than did birth-planned households on a child. However, low-fertility households had significantly more debt than did their counterparts, and their expectation level of future economic status were lower than that of birth-planned households. Third, the effects of socioeconomic variables on expenditures on a child were different between low-fertility and birth-planned households. Age, education level, husband's occupation, wife's employment status, income, net asset, and subjective evaluation of future economic status showed significant differences. Income elasticity of expenditure on a child was significantly higher for low-fertility households than their counterparts.
Objectives: As in many low-income and middle-income countries, out-of-pocket (OOP) payments by patients or their families are a key healthcare financing mechanism in Bangladesh that leads to economic burdens for households. The objective of this study was to identify whether and to what extent socioeconomic, demographic, and behavioral factors of the population had an impact on OOP expenditures in Bangladesh. Methods: A total of 12 400 patients who had paid to receive any type of healthcare services within the previous 30 days were analyzed from the Bangladesh Household Income and Expenditure Survey data, 2010. We employed regression analysis for identify factors influencing OOP health expenditures using the ordinary least square method. Results: The mean total OOP healthcare expenditures was US dollar (USD) 27.66; while, the cost of medicines (USD 16.98) was the highest cost driver (61% of total OOP healthcare expenditure). In addition, this study identified age, sex, marital status, place of residence, and family wealth as significant factors associated with higher OOP healthcare expenditures. In contrary, unemployment and not receiving financial social benefits were inversely associated with OOP expenditures. Conclusions: The findings of this study can help decision-makers by clarifying the determinants of OOP, discussing the mechanisms driving these determinants, and there by underscoring the need to develop policy options for building stronger financial protection mechanisms. The government should consider devoting more resources to providing free or subsidized care. In parallel with government action, the development of other prudential and sustainable risk-pooling mechanisms may help attract enthusiastic subscribers to community-based health insurance schemes.
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