• Health Policy and Management
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• v.30 no.1
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• pp.126-130
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• 2020

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2018 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. The households experienced the catastrophic health expenditure 2.08% in 2018 using the NaSTaB data. Trend analysis was significant with the decreasing trend (Annual Percentage Change [APC], -4.88; p<0.0001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92%, and KHP showed 2.48% of households experienced the catastrophic health expenditure in 2016. The trend was significantly increased in HIES (APC, 1.43; p<0.0001) and KHP (APC, 6.68; p<0.0001). Therefore, this suggests that further interventions to alleviate the burden of catastrophic health expenditure to the low-income group are needed.

• Health Policy and Management
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• v.31 no.1
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• pp.140-144
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• 2021

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2019 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 households with catastrophic healthcare expenditure. The households experienced a catastrophic health expenditure of 2.44% in 2019 using the NaSTaB data. Trend analysis was significant with the decreasing trend (annual percentage change [APC], -4.49; p<0.0001) in the proportion of households with catastrophic health expenditure. Also, the results of the 2017 KHP and the 2016 HIES showed 2.20% and 2.92%. The trend was significantly increased in the KHP (APC, 1.79; p<0.0001) and the HIES (APC, 1.43; p<0.0001). Therefore, this study suggests that further public healthcare interventions to alleviate the burden of catastrophic health expenditure, especially for low-income households, are needed.

• 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.33 no.3
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• pp.363-369
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• 2023

The term "catastrophic health expenditure" means assessing the extent to which medical costs cause financial hardship for households. The aim of this research is to analyze the percentage of households that faced severe financial strain due to medical expenses from 2006 to 2021. This was achieved by utilizing data obtained from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). A trend analysis was conducted to examine the percentage of households that experienced catastrophic healthcare expenses. The households that experienced the catastrophic health expenditure was 2.49% in 2021 using the NaSTaB data. The trend analysis yielded a statistically significant result, indicating a decreasing trend (annual percent change [APC], -4.79; p<0.0001) in the proportion of households facing catastrophic health expenditures. Also, the results of the 2019 KHP and the 2021 HIES showed 1.09% and 2.44% for the households that experienced catastrophic health expenditure. The trend was increased according to the KHP (APC, 0.55; p=0.0004) and the HIES (APC, 7.04; p<0.0001). As a result, this study proposes that sustained attention and further interventions are necessary to ease the economic pressure caused by catastrophic health expenses, particularly for low-income households.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.81-85
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• 2000

The present study investigated the processes of selecting and modeling of design variables based on HIEs for developing the evaluational model on the physical suitability of office chairs. Evaluational model can be used for development of the new products or improvement of the old products. For the best utilization of the evaluational model, the process of scrutinizing the variables and the complex interactions among the variables is indispensible. Also, for this, it is necessary to select only the right HIEs which influence the physical suitability of products greatly.The present study suggested analytical processes for making the evaluational model on the physical suitability (Comfortability, Suitability, Stability, Adjustability, Clearance) of office chairs.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.234-236
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• 2000

최근 국내의 모든 병원에서 PACS(Picture Atchiving and Communication System) 도입에 관한 관심을 보이고 있다. PACS가 구축이 되면 병원 내 모든 진료 과에서 디지털 데이터의 전송으로 정보를 공유할 수 있고, 진료가 자동화 되는 장점이 있다. 하지만, 환자가 다른 병원으로 이송될 경우 과거 진료 내역을 다른 병원으로 함께 전송하여야 되는데, 다른 병원의 시스템과 연계할 방법이 현재로는 존재하지 않는다. HIES 시스템은 의료 데이터 전송의 표준문서로 XML(eXtensible Markup Language)을 제안하고 있다. XML은 문서를 정의하는 메타 마크업(meta-markup) 언어로써 DICOM 프로토콜을 통하여 산출된 의료 데이터를 표현하기에 적당하다. 또한 병원 간 이질 데이터베이스 시스템 통합을 위하여 일관된 스키마 정보를 유지하는 정보 공유 관리자를 설계, 구현하였다.

• Survey Research
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• v.5 no.1
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• pp.103-130
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• 2004

Main monthly household surveys conducted by Korea National Statistical Office are economically active population survey(EAPS) and household income and expenditure survey(HIES). Samples of these two surveys are redesigned every 5 years based on Census. This paper is about sample redesign of household survey conducted in 2002 based on 2000 Census. Main improvements of 2002 sample redesign are the introduction of rotation sampling system, the expansion of HIES survey area from urban to whole country and the foundation of basement to make small area estimation for the unemployment statistics. Also the number of sample households within a enumeration district(ED) is reduced from 24 to 20. That makes it possible to select more ED samples which provides better precision for EAPS and HIES. To select representative samples for the population, different classification index is used for each metropolitan area and provinces.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.141-151
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• 2009

According to the type of microdata, the various methods have been in use for masking microdata. Multiplicative noise is the one of popular schemes for masking continuous variables. In this paper, we introduce the method of masking based on multiplicative noise and show some results of the application on the 2006 Householder Income and Expenditure Survey (HIES) data. To create the multiplicative noise factor, we used the triangular distribution. truncated triangular distribution, trapezoidal distribution, and double triangular distribution. Also, formulas for the domain estimation for the data masked by the multiplicative noise are developed.

• Health Policy and Management
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• v.29 no.1
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• pp.86-89
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• 2019

Catastrophic health expenditure refers to spending more than a certain level of household's income on healthcare expenditure. The aim of this study was to investigate the proportion of households that experienced catastrophic health expenditure between 2006 and 2017 with the National Survey of Tax and Benefit (NaSTaB) and between 2011 to 2016 using Households Income and Expenditure Survey (HIES) data. The results of the NaSTaB showed 2.16% of households experienced the catastrophic health expenditure in 2017. In trend analysis, the NaSTaB revealed a statistically significant decreasing trend (annual percentage change [APC] = -2.01, p<0.001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92% of households experienced the catastrophic health expenditure in 2016. Also, there was a slightly increasing trend (APC= 1.43, p<0.001). In subgroup analysis, groups with lower income levels were likely to experience catastrophic health expenditure. In conclusion, further public support system is needed to lower experience these healthcare expenditures and monitor the low income group.

• Clinical and Experimental Pediatrics
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• v.53 no.4
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• pp.592-597
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• 2010

Hyperimmunoglobulin E syndrome (HIES) is a rare immunodeficiency disease which is characterized by high serum IgE levels, eczema, and recurrent infections. Herein we present the case of a patient with HIES associated with STAT3 gene ($stat3$) mutation. A 16 year-old girl was admitted to our hospital due to hemoptysis caused by pneumonia with bronchiectasis. She had a history of recurrent skin and respiratory tract infections, such as pneumonia caused by MRSA (methicillin-resistant $Staphylococcus$ $aureus$) and $Pseudomonas$ $aeruginosa$. On physical examination, a broad round shaped nose, oral thrush, and chronic eczematous skin rash over her whole body were found. Laboratory data showed an elevated eosinophil count ($750/{\mu}L$) and total IgE level (5,001 U/mL). The patient's National Institutes of Health (NIH) score for HIES was 44. Direct sequencing of the STAT3 gene revealed that the patient was heterozygous for a missense mutation in the DNA binding domain of the STAT3 protein (c.1144C>T, p. Arg382Trp). HIES should be suspected in patients with recurrent infections and can be confirmed by clinical scoring and genetic analysis.