• Communications for Statistical Applications and Methods
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• v.23 no.6
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• pp.555-562
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• 2016

Interval censored data often occur in an observational study where the subject is followed periodically. Instead of observing an exact failure time, two inspection times that include it are available. There are several methods to analyze interval censored failure time data (Sun, 2006). However, in the presence of competing risks, few methods have been suggested to estimate covariate effect on interval censored competing risk data. A sub-distribution hazard model is a commonly used regression model because it has one-to-one correspondence with a cumulative incidence function. Alternatively, Klein and Andersen (2005) proposed a pseudo-value approach that directly uses the cumulative incidence function. In this paper, we consider an extension of the pseudo-value approach into the interval censored data to estimate regression coefficients. The pseudo-values generated from the estimated cumulative incidence function then become response variables in a generalized estimating equation. Simulation studies show that the suggested method performs well in several situations and an HIV-AIDS cohort study is analyzed as a real data example.

• 한국노년학
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• v.29 no.3
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• pp.1063-1085
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• 2009

The purposes of this study were to investigate the transition of elderly's welfare service utilization and to examine the factors affecting their utilization as time passed. To solve these research questions, the behavioral model presented by Andersen and Newman(1973) was applied. Using Hallym Aging Panel data consisted of 3 waves from 2003 to 2007, autoregressive modeling and regression analysis were applied for research purposes. The results of this study were as follows; (1) The experiences of welfare service utilization were increasing gradually. The complimentary service for the aged was utilized generally, but leisure service and community service were not used in common. (2) Past experience of service affected service utilization in the following times. (3) The factors affecting older adult's service utilization were different among the types of services. Nonetheless, the factors affecting continuously during the periods were found: age as predisposing factor and area as enabling factor in the complimentary service; area and existence of spouse as enabling factor in leisure service; education as predisposing factor and service cognition as enabling factor in community service. Enabling factor has affected more consistently than other factors. The results showed that special attention should be paid to balanced regional arrangement for welfare resources and the public relation considering the elderly's intellectual level.

• Korean Journal of Social Welfare
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• v.60 no.3
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• pp.129-150
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• 2008

This study examined the factors affecting service utilization of elderly residential care among long term care services recipients during long term care insurance pilot project period in Korea. Help-seeking Behavior model developed by Andersen and Newman(1973) was used to analyze the factors affecting their utilization residential care service among 1,939 long term care services recipients. Frequency and Decision Tree Regression analysis on SPSS 13.0 used. Analyses show strong significant factor is service preference(predisposing factors), and then significant factors are enabling factors such as co-residence type, household income. According to this results, need factors such as cognition disorder, problem behavior, ADL and IADL disabilities are affecting utilization behavior of elderly residential care services. These findings provide implications and suggestions about how long term care service system would be settled in Korea. And these finding provide information about target-efficient long term care continuum system to policy makers and helping professionals.

• Journal of Korean Public Health Nursing
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• v.13 no.2
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• pp.12-25
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• 1999

This study examines individual determinants of hospital days in community-dwelling elders by estimating a linear structural equation model based upon Andersen's behavioral model. Data were collected through a national survey of elders in Korea in 1994. The subjects for this secondary data analysis were 1687 non-institutionalized elders aged 60 years or older. Except for the effect of age and gender on family help. the predisposing components had direct effects on the enabling components. Of the effects of the enabling components. family help had a direct effect on self-evaluated health; economic status had a direct effect on chronic disease and self-evaluated health; and access had a direct effect on chronic disease. functional health status and self-evaluated health. Of the enabling components. residence and family help directly affected hospital days. Self-evaluated health revealed the greatest direct effect on hospital days followed by functional health. Overall. the effects of the predisposing components and the enabling components on hospital days were not prominent. Since the model explained only $4\%$ of the variance in hospital days. the magnitude of the effect of the need components cannot be judged in terms of equity of distribution of health services. In particular. the effect of family help in the model reveals the importance of family support in health management of elders. The implications of these analyses for improving the proposed model of hospital days were discussed.

• Health Policy and Management
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• v.4 no.2
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• pp.58-76
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• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.

• Journal of Korean Academy of Rural Health Nursing
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• v.18 no.2
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• pp.80-91
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• 2023

Purpose: The purpose of the study quantitatively investigates the experience of unmet healthcare service utilization by rural populations in vulnerable areas during the COVID-19 pandemic based on Andersen's behavior model. At the same time, this study attempts to describe the experiences of unmet healthcare service utilization among participants in vulnerable rural areas by analyzing qualitative contents through open-ended question. Methods: Data were collected from October to November 2022 using Qualtrix, a web-based survey platform. A total of 863 participants completed an online survey. Quantitative data were analyzed using 𝑥² test and logistic regression analysis. Qualitative data were analyzed using content analysis. Results: The factors affecting participants' unmet healthcare service utilization were type of residential area and underlying disease. The qualitative analysis identified; four categories and nine sub-categories. Conclusion: Based on these findings, it is necessary to develop a disaster nursing response model according to the type of residential areas and the number of people.

• Advances in concrete construction
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• v.11 no.1
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• pp.19-32
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• 2021

In the present experimental study, the high performance hybrid fiber reinforced concrete (HPHFRC) is prepared using the Modified Andreasen and Andersen (A&A) particle packing model. Total of 16 trial mixes of HPHFRC with Indian standard sand (SS) and natural river sand (NS) are prepared to achieve the selection criteria (flow percent>150 and compressive strength>80 MPa). Based on the flow percent and compressive strength criteria, the selected mixes evaluated to study the effect of usage of natural river sand (NS) and the expensive Indian standard sand (SS) on the mechanical, durability, and microstructure property of designed HPHFRC. It has been found that the Modified A&A model is reliable to design the mix for HPHFRC with excellent mechanical, durability, and microstructure properties. In addition to that, a moderate difference in the mechanical and durability properties of NS contained HPHFRC and SS contained HPHFRC is found. Based on the obtained results of NS contained HPHFRC, it can be concluded that the use of natural river sand (NS) can be successfully adopted for the production of HPHFRC, resulted in a reduction of the production cost without compromising the excellent performance of HPHFRC.

• The Journal of Korean Medicine
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• v.42 no.1
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• pp.12-25
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• 2021

Objectives: The aim of this study was to investigate influencing factors of using Korean medicine services (KMS) using the 2017 Korean Medicine Utilization Survey (KMUS). Methods: Demographic statistics of the survey were summarized and influencing factors of the KMS experience and the intention to visit KMS were analyzed using logistic regression model with complex sample design. Influencing factors were specified based on Andersen's behavioral model of health care utilization and factors associated with individual recognitions of KMS. Additionally, using the ordinary logistic regression model without complex sample design, the survey data were analyzed to compare the results. Results: In the logistic regression analysis, sex, age, health condition, presence of chronic disease, a degree of knowledge about Korean Medicine, and a view about herbal medicine safety were statistically significant both in the KMS experience, and the intention to visit KMS. Marital status was statistically significant in the KMS experience, while family income, a view about the cost of KMS were statistically significant in the intention to visit KMS. Conclusion: Individual recognitions of KMS and enabling components should be considered when establishing KMS policies. In addition, future studies analyzing KMUS need to take into account the complex sample design features of the survey to avoid statistically misleading results.

• International Journal of Human Ecology
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• v.6 no.1
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• pp.1-16
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• 2005

Due to increasing life expectancy, Americans live nearly 20 years after retirement. During this period, elderly persons have to stretch finances to manage the level of living without earnings. However, decision making ability decreases with age. One coping strategy for this problem would be seeking help from others. We examine factors affecting elderly persons' assistance use with respect to financial management using the 2000 Health and Retirement Study (N=3,823). It was found that age, education, health status, and ethnicity significantly affect elderly persons' financial management assistance use. The older-olds, those with lower educational attainment and poorer health status were more likely to use financial management assistance. However, Hispanic elderly were less likely to use financial management assistance.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.251-253
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• 2000

본 연구는 대전 1,2 공단 지역을 대상으로 발암 금속 6종(As Be, Cd, Cr, Ni 및 Pb)을 포함한 15종의 독성 금속을 선정하여 유도결합 플라스마 분광법(ICP-MS)을 이용하여 3년간 분석하고 이 농도 자료에 근거하여 각 금속의 확률론적 농도를 평가하고자 한다. 대기중 부유분진은 대전시 대화동(대전 1,2 공단내 대화동 동사무소 건물 옥상)에 high-volume air sampler(Graseby Andersen : SAUB-10H Model, USA)를 약 0.85$\textrm{m}^3$/min으로 운전하여 시료당 공기량이 약 1,200 $\textrm{m}^3$가 유지되도록 포집하였다. (중략)