• 한국인터넷방송통신학회논문지
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• 제15권4호
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• pp.177-183
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• 2015

ICT 힐링플랫폼의 목적은 만성질환 예방이며 생체신호 및 생활습관 등의 정보를 기반으로 한 질환조기 경보를 목표로 한다. 본 논문에서 제안하는 개인화된 건강 데이터 접근을 위한 2-Step 개방형 시스템(TOS)은 ICT 힐링플랫폼에서의 개인 건강관련 데이터 공급자와 서비스 공급자 사이를 연결하여 개인화된 건강 데이터를 중계하는 소프트웨어 엔진이다. 제안시스템은 개인건강 문서 저장부인 Inbound 모듈과 외부기관에 조회 서비스를 제공하기 위한 Outbound 모듈로 2step으로 분리하여 운용한다. 이를 위해 Step간의 데이터 교환 정의를 위해 개인화 편집 가능한 Manifest 개념을 제안한다. 설계된 시스템은 여러 건강 관련 서비스 기관들(병원, 피트니스센터, 건강검진센터, 개인건강장치 등)에 산재되어 있는 개인 건강 정보를 개인 주도하에 수집하고 개방화하는데 참조모델로 활용할 수 있다.

• 한국정보통신학회논문지
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• 제20권8호
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• pp.1460-1465
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• 2016

오늘날 많은 비용이 국가 의료보장체계의 유지를 위협하고 있다. 국가 질병 통제 및 방지 센터의 감사체계를 동반한 건강관리 역학성에 대한 연구에도 불구하고, 시간 한계, 표본 한계, 대상 질병 한계에 대한 제약이 여전히 존재하고 있다. 이러한 배경에서, 방대한 양의 전수 데이터를 활용하여, 많은 기술들이 건강의 선제적 예측이나 그 대상 질병을 확장하는 분야에 충분하게 적용되고 있다. 우리는 국민건강보험의 구조적 데이터와 소셜네트워크서비스의 비구조적 데이터를 활용하여 질병을 예측하는 모형을 설계하였다. 이 모형은 건강예보서비스를 제공함으로써, 국민건강을 증진시키고 사회적 혜택을 극대화할 수 있다. 또한, 빅데이터 분석에 근거하여, 건강보험비용의 갑작스러운 증가를 감소시키거나 적시적인 질병발생을 예측할 수도 있다. 관련된 의료 예측 사례를 살펴보았고, 제안된 모형의 검증을 위하여 시범과제를 통한 실험을 수행하였다.

• Journal of Preventive Medicine and Public Health
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• 제47권3호
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• pp.136-143
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• 2014

The Global Burden of Disease (GBD) study has been instrumental in guiding global health policy development since the early 1990s. The GBD 2010 project provided rich information about the key causes of mortality, disability-adjusted life years, and their associated risk factors in Japan and provided a unique opportunity to incorporate these data into health planning. As part of the latest update of this project, GBD 2013, the Japanese GBD collaborators plan to update and refine the available burden of disease data by incorporating sub-national estimates of the burden of disease at the prefectural level. These estimates will provide health planners and policy makers at both the national and prefectural level with new, more refined tools to adapt local public health initiatives to meet the health needs of local populations. Moreover, they will enable the Japanese health system to better respond to the unique challenges in their rapidly aging population and as a complex combination of non-communicable disease risk factors begin to dominate the policy agenda. Regional collaborations will enable nations to learn from the experiences of other nations that may be at different stages of the epidemiological transition and have different exposure profiles and associated health effects. Such analyses and improvements in the data collection systems will further improve the health of the Japanese, maintain Japan's excellent record of health equity, and provide a better understanding of the direction of health policy in the region.

• Journal of the Korean Data and Information Science Society
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• 제28권1호
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• pp.195-206
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• 2017

본 연구는 한국보건사회연구원과 국민건강보험공단의 한국의료패널 2011~2013년 연간데이터(beta version 1.0)을 이용해 의료서비스 질 인식에 영향을 미치는 요인을 연도별로 분석하였다. 공통적으로 나타난 결과를 요약하면, 첫째, 의료서비스 질의 영향요인을 확인하기 위해 일반적 특성을 분석 결과는 연령 결혼상태, 교육수준, 주관적 건강상태가 통계적으로 유의한 예측인자로 나타났다. 둘째, 의료이용 관련 특성에 대한 분석 결과를 살펴보면, 미충족의료와 치과이용제한이 의료서비스 질 인식에 통계적으로 유의한 예측인자로 나타났다. 이러한 결과는 향후 의료서비스의 질 향상을 위한 전략 수립에 기초 자료로 활용될 수 있을 것이다.

• Communications for Statistical Applications and Methods
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• 제31권3호
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• pp.323-336
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• 2024

The accurate forecasting of insurance claims is a critical component for insurers' risk management decisions. Hierarchical Bayesian parametric (BP) models can be used for health insurance claims forecasting, but they are unsatisfactory to describe the claims distribution. Therefore, Bayesian nonparametric (BNP) models can be a more suitable alternative to deal with the complex characteristics of the health insurance claims distribution, including heavy tails, skewness, and multimodality. In this study, we apply both a BP model and a BNP model to predict group health claims using simulated and real-world data for a private life insurer in Indonesia. The findings show that the BNP model outperforms the BP model in terms of claims prediction accuracy. Furthermore, our analysis highlights the flexibility and robustness of BNP models in handling diverse data structures in health insurance claims.

• 보건행정학회지
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• 제14권2호
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• pp.99-116
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• 2004

This study estimates the determinants of national health expenditures of OECD countries using panel regression method. The data used are OECD Health Data(2003) covering 33 countries and from 1970 to 2001. This study shows several important different results compared to the previous studies. Further this study estimates the determinants of Korean case using data from 1m to 2000, and compare with the results of OECD panel. The main findings are as follows. The income elasticity of health expenditures is estimated below 1.0, but is shown above 1.0 when the different health systems of each country are controlled. The women's labor participation influences strongly positive effect on the health expenditures. The diffusion of new technologies is positively related with the increasing expense. The increasing government expenditures have a tendency not to contain health expenses, but to increase expenses. The expansion of public health insurance holders is containing the expenses, and the increasing number of doctors is pushing expenditures. This implies the health expenditures are influenced more by the induced demand of providers rather than the moral hazard of patients. However, the above result is opposite in Korean case. The existence of primary care doctors affects slightly up warding rather than containing expenditures. Finally the determinants are seriously depending upon which factors are included in the model and which statistical model is chosen. Therefore it must be cautious to interpret the results of statistical model.

• 지역사회간호학회지
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• 제14권4호
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• pp.629-638
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• 2003

Purpose: This study investigated the effects of knowledge and health belief on osteoporosis preventive health behaviors. Methods: The subjects of this study were 266 middle-aged women. Data were collected using a self-reporting questionnaire with 101 questions. The period of data collection was from the 3rd of January to the 28th of February 2003. Data were analyzed using SPSS 10.0 PC+ program. Results: The results were summarized as follows: 1. The average score of knowledge about osteoporosis was 16.93 out of 27. Particularly, middle-aged women had knowledge more about osteoporosis prevention measures than about risk factors. 2. Knowledge, self efficacy and barriers were significantly correlated with osteoporosis preventive health behaviors. 3. As for the relationship between subjects' general characteristics and their health preventive behaviors, the size of living district, economic status, BMI. family history of osteoporosis and perception of health status were found to have significant effects on health preventive behaviors. Conclusions: According to the results presented above, preventive health behaviors may be promoted by increasing knowledge and perceived self-efficacy as well as decreasing individuals' perceived barriers through health education.

• 한국보건간호학회지
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• 제22권2호
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• pp.211-223
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• 2008

Purpose: The principal objective of this study was to assess correlations among the self-efficacy, social support networks, and health behavior of undergraduate students. Methods: The data were collected via questionnaires that investigated self- efficacy, social support networks, health behaviors, health-related factors, and general characteristics. A total of 310 subjects were selected and evaluated for a 3-week period. The data of 300 subjects were analyzed using descriptive analysis, t-test, ANOVA, and correlation, after 10 questionnaires had been excluded due to incomplete data. Results: We noted significant differences and impacts on self-efficacy according to the grade, perceived health status, and BMI. Social support networks differed significantly according to dwelling type and pocket money. Health behavior differed depending on the gender, major, dwelling type, religion, health status, and BMI. We noted a significant positive correlation between self-efficacy & social support networks, and between social support networks & health behavior, but we noted no significant correlation between self-efficacy & health behavior. Conclusion: Health care providers should focus on self-efficacy and social support networks in order to prevent bad health behavior among undergraduates.

• 여성건강간호학회지
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• 제23권3호
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• pp.181-190
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• 2017

Purpose: The purpose of the study was to identify factors influencing health promotion behavior of late-middle aged women. Methods: The subjects were 128 women who were attending a cultural center located in B metropolitan city. Data were collected from July 1 to July 31, 2016. Data were analyzed using descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient, Stepwise multiple regression with SPSS/WIN 23.0 program. Results: Health promotion behavior of later middle-aged women was different by general characteristics such as religion, exercise, economic satisfaction, life satisfaction, and leisure time activities. Health promotion behavior had a positive relationship with health perception and perception of successful aging, and a negative relationship with aging anxiety. Health perception, perception of successful aging, exercise, leisure time activities (exercise and social activity) were verified significant factors influencing health promotion behavior accounted for 38%. Conclusion: The results indicate that health perception and perception of successful aging influence health promotion behavior of late-middle age women. It would provide the basic data for the development of program aimed at improving health promotion behavior of late-middle age women.

• 지역사회간호학회지
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• 제28권1호
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• pp.78-87
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• 2017

Purpose: The purpose of this study is to identify factors influencing the quality of life of the elderly living alone and living with their families with regard to their health statuses and health behavior experiences. Methods: We used source data from the 2014 Community Health Survey. The subjects of this study included some elderly people aged 65 and over, and analyzed the data of 13,373 elders living alone and 13,322 elders living with family. Results: Factors influencing the quality of life of the elderly living alone and living with their families include gender, age, education, household income, current occupation, subjective stress level, depression, number of diagnosed diseases, walking exercise, the experience of health screening, and the experience of not having necessary medical services (p<.001). Region was a significant variable influencing the quality of life of the elderly living with their families (p<.001). Conclusion: In order to improve the quality of life of the elderly, it is necessary to provide sound conditions for working, emotional support, walking exercise and promotion of health screening, and to supplement the environment and institution for them to receive necessary medical services.