• Journal of Families and Better Life
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• v.17 no.1
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• pp.121-138
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• 1999

The purpose of this study were to identify the factors related to the changes of family total income total expenditures housing maintenance costs food expenditures and clothing expenditure, The data used for these purposes was collected from housewives living in jeonbuk area by questionaire in May 1998. Sample size of this data was 341 households. Statistics performed for the analysis were frequencies percentage means and multiple regression analysis. The results of this study were as follows; First monthly income decreased by 370,000 won than last year. The variables contributing to decreasing income were job type of household head and educational attainment of housewives the amount of total family current income total household expenditure and the perception of economic status. Second monthly expenditure decreased by 24,000 won than last year. The variables related to decreasing expenditure were educational attainment of housewives and the perception of economic stats. Third the variables related to their total household change were job type of household head number of family current household expenditure and the perception of economic status. finally the variables associated with total satisfaciotn of family life were the amount of leisure time the perception of economic attainment the confirmity of family and the amount of current household expenditure.

• Journal of Preventive Medicine and Public Health
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• v.40 no.1
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• pp.36-44
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• 2007

Objectives : There have been few studies examining the differences in health care utilization across social classes during the last year of life. Therefore, in this study we analyzed the quantitative and qualitative differences in health care utilization among cancer patients across educational classes in their last year of life, and derived from it implications for policy. Methods : To evaluate health care utilization by cancer patients in the last year of life, Death certificate data from 2004 were merged with National Health Insurance data (n=60,088). In order to use educational level as a social class index, we selected the individuals aged 40 and over as study subjects (n=57,484). We analyzed the differences in the medical expenditures, admission days, and rates of admission experience across educational classes descriptively. Multiple regression analysis was conducted to evaluate the association between medical expenditures and independent variables such as sex, age, education class, site of death and type of cancer. Results : The upper educational class spent much more on medical expenditures in the last one year of life, particularly during the last month of life, than the lower educational class did. The ratio of monthly medical expenditures per capita between the college class and no education class was 2.5 in the last 6-12 months of life, but the ratio was 1.6 in the last 1 month. Also, the lower the educational class, the higher the proportion of medical expenditures during the last one month of life, compared to total medical expenditures in the last one year of life. The college educational class had a much higher rate of admission experiences in tertiary hospitals within Seoul than the other education classes did. Conclusions : This study shows that the lower educational classes had qualitative and quantitative disadvantages in utilizing health care services for cancer in the last year of life.

• Journal of Preventive Medicine and Public Health
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• v.28 no.1 s.49
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• pp.207-223
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• 1995

A new medical delivery system which regulated outpatient department(OPD) use from tertiary care hospitals was adopted in 1989. Under the new system, patients using tertiary care hospital OPD without referral slip from clinics or hospitals could not get any insurance benefit for the services received from the tertiary care hospital. This study was conducted to evaluate the Patient Referral System(PRS) with respect to health care expenditures and utilization. Two data sets were used in this study. One was monthly data set(from January 1986 to December 1992) from the Annual Report of Korea Medical Insurance Corporation(KMIC). The other was monthly joint data set composed of personal data of which 10% were selected randomly with their utilization data of KMIC from January 1988 to December 1992. The data were analyzed by time-series intervention model of SAS-ETS. The results of this study were as follows: 1. There was no statistically significant changes in per capita expenditures following PRS. 2. Utilization episodes per capita was increased statistically significantly after implementation of PRS. The use of clinics and hospitals increased significantly, whereas in tertiary care hospitals the use decreased significantly immediately after implementation of PRS and increased afterwards. 3. Follow-up visits per episode were decreased statistically significantly after implementation of PRS. The decrease of follow-up visits per episode were remarkable in clinics and hospitals, whereas in tertiary care hospitals it was increased significantly after implementation of PRS. 4. There was no statistically significant changes in prescribing days per episode following PRS. Futhermore, clinics and hospitals showed a statistically significant decrease in prescribing days per episode, whereas in tertiary care hospital it showed statistically significant increase after implementation of PRS. 5. Except high income class, the use of tertiary care hospitals showed statistically significant decrease after implementation of PRS. The degree of decrease in the use of tertiary care hospitals was inversely proportional to income. These results suggest that the PRS policy was not efficient because per capita expenditures did not decrease, and was not effective because utilization episodes per capita, follow-up visits per episode. and prescribing days per episode were not predictable and failed to show proper utilization. It was somewhat positive that utilization episodes per capita were decreased temporarily in tertiary care hospitals. And PRS policy was not appropriate because utilization episodes per capita was different among income groups. In conclusion, the PRS should be revised for initial goal attainment of cost containment and proper health care utilization.

• Journal of Families and Better Life
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• v.27 no.2
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• pp.63-75
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• 2009

The purpose of this study was to analyze university students' attitudes toward hair care as well as their hair care practices and spending. The analytical tools include the chi-square test, t-test, one-way ANOVA, Pearson's correlation analysis and multiple regression analysis. The major findings were as follows: (1) The mean of university students' attitudes toward hair care was 18.5(out of a possible 30). (2) The variables that significantly influenced students' attitudes toward hair care were gender, school year and monthly spending money. (3) Hair care practices differed according to demographic variables and attitudes toward hair care. (4) The average monthly expenditure on hair care was 31,769 won. The variable that most influenced monthly hair care expenditures was gender. In sum, this study found that the variable with the largest effect on hair care attitudes, practices and spending was gender.

• Journal of Families and Better Life
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• v.16 no.4
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• pp.183-196
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• 1998

The purpose of this study was to investigate the discretionary consumption expenditure of Korean urban housewives and the factors contributing to the discretionary consumption expenditure. 535 housewives living in Seoul and Gyungki district were selected and frequencies percentile means standard deviation and multiple-regression analysis were utilized. The results of this study were as follows: First the monthly discretionary consumption expenditure of Korean urban housewives was 592,500won. Particularly the level of clothing expenditure for urban housewives of 135,700won was found to be the highest expenditure among other discretionary expenditures while the level of transportation expenditure of 68,100won was found to be the lowest expenditure. Second educational attainment employment status conspicuous tendency of consumption and contribution to household economic of urban housewives husband's job the number of children monthly income debt ownership and home ownership were ignificant variables on each category of discretionary consumption expenditure while age future economic expectation egion and total asset were not significant variables. Third employment status conspicuous tendency of consumption husband's job the number of children monthly income and debt ownership were related to discretionary consumption expenditure of Korean urban housewives.

• Health Policy and Management
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• v.22 no.1
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• pp.145-162
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• 2012

The purpose of this study is to understand magnitude and its related factors of user's cost-sharing for non-covered services in long-term care facilities. We corrected data for 1,016 subjects, based on the long-term care benefits cost specification. Eighteen subjects were excluded from the data analysis due to missing data on family care-givers characteristics. Finally, 998 subjects were included in the study. The average cost of non-covered services per month was 209,093 won and distributed from 0 to 1,011,490 won. There was a significant difference by the characteristics of family care-givers and long-term care facilities. The monthly average cost for meal materials per person was 199,181 won(0~558,000), average cost of additional charge caused by using private bed was 232,992 won (50,000~600,000), and costs for haircut and cosmetics were 8,599 won. For the rest, there were various programs costs(93,328 won), diaper and its disposal cost(109,628 won), purchase cost for daily necessaries(24,435 won) and etc. The related factors for the magnitude of non-covered services expenditures were education level of family care-givers, occupancy rate and location of LTC facilities, and the costs of using private bed, haircut and cosmetics, and various programs among non-covered services. These findings suggest that present level range of LTC facilities users' cost-sharing is wide and it is urgent to prepare the standard guideline for cost and level in non-covered services.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.114-122
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• 2003

Dynamic and fragmented characteristics are two of the most significant factors that distinguish the construction industry from other industries. Previous forecasting techniques have failed to solve the problems derived from the above characteristics, and do not provide considerable support This paper deals with providing a more precise forecasting by applying Case-based Reasoning (CBR). The newly developed model in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, the choice of the numbers of referring projects was investigated. It is concluded that selecting similar projects at $5{\~}6{\%}$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Architectural research
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• v.8 no.1
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• pp.77-84
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• 2006

In spite of enormous increase in data generation, its practical usage in the construction sector has not been prevalent enough compared to those of other industries. The author would explore the obstacles against efficient data application in the arena of expenditure forecasting, and suggest a forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in the research, enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. Among 99 projects collected, the cost data from 88 projects were processed to establish a new forecasting model. The remaining 10 projects were utilized for the validation of the model. From the comprehensive study, the choice of the numbers of referring projects was investigated in detail. It is concluded that selecting similar projects at 12~19 % out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.117-124
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• 2004

Dynamic and fragmented characteristics ale two of the most significant factors that distinguish the construction industry from other industries. Previous forecasting techniques have failed to solve the problems derived from the above characteristics and do not provide considerable support. This paper deals with providing a more precise forecasting by applying Case-based Reasoning (CBR). The newly developed model in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting. the choice of the numbers of referring projects was investigated. it is concluded that selecting similar projects at $5\~6\;\%$ out of the whole database will produce a more precise forecasting. The new forecasting model. which suggests the predicted values based on previous projects, is more than just a forecasting methodology it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the know ledge derived from invaluable experience.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.138-147
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• 2006

The objective of this research is to explore a more precise forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, 1) the choice of the numbers of referring projects and 2) the better selection among three levels ? which include a 20-work package level, a 7-major work package level, and a total sum level analysis, were investigated in detail. It is concluded that selecting similar projects at $12{\sim}19%$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.