• Child Health Nursing Research
• /
• v.5 no.2
• /
• pp.167-184
• /
• 1999

The purpose of this study was to provide basic data in child health education or counselling through content analysis related to child health in newspaper articles. Data were collected 8 daily newspaper by selecting health articles from neonate to adolescent period during 1 year from January 1 to December 31 in 1998. The data were analyzed in the framework of content analysis method and the reliability degree was 98% by the method of Holsti. The results of this study are as follows. 1. The frequency according to health category, disease treatment(46.7%) topped followed by health maintenanceㆍpromotion(28.0%), disease prevention(14.7%), growthㆍdevelopment(10.6%) 2. The frequency according to season, summer (36.4%) rank first. 3. The frequency according to WHO international disease classification, infectious disease (29.6%) take most. 4. According to child developmental age, similar frequency showed from infant to adolescent except neonate. 5. 201 themes, 43 category,4 health categories were confirmed in the content analysis. 6. Health maintenceㆍpromotion occupy 28.0% of health category include 14 categories. 7, Growthㆍdevelopment include 6 category occuping 10.6% of the whole health category. 8. Disease prevention occupy 14.7% of health category and contain 6 categories. 9. Disease treatment take top of health category by the rate of 46.7% and contain 17 categories.

• Journal of Environmental Health Sciences
• /
• v.43 no.4
• /
• pp.298-306
• /
• 2017

Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.177-183
• /
• 2015

The purpose of ICT Healing platform is the prevention of chronic disease. It is intended to early warning of the disease through the information such as the bio-signals and lifestyle. In this paper, we provide a 2-Step open system(TOS) for personalized health data access. TOS is connected between the personal health related data providers and service providers of individuals ICT Healing platform, a software engine for relaying personalized health data. The proposed system, to operate in isolation to 2 step in personal health document repository Inbound module and Outbound module to provide an inquiry service to external organizations. Therefore, we propose a personalized editable Manifest concept for defining data exchange between Step. This can be used as a reference model to collect the personal health information is scattered in many health related service institutions (Hospitals, Fitness Centers, Health Examination Centers, Personal Health Device, etc.) and under private-led liberalization.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.8
• /
• pp.1460-1465
• /
• 2016

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

• Journal of Preventive Medicine and Public Health
• /
• v.47 no.3
• /
• pp.136-143
• /
• 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
• /
• v.28 no.1
• /
• pp.195-206
• /
• 2017

The purpose of this study was to identify factors affecting quality of health care. Methods: The data were derived from the 2011-2013 Korea health panel survey (beta version 1.0). The data were analyzed using SPSS 21.0 with descriptive statistics, ${\chi}^2$-test, and multiple logistic regression analysis. In general characteristics, common factors influencing the quality of health care were age, marital status, education level, and subjective health status. In variables related to health care utilization, unmet healthcare needs, and limitation of dental care utilization were the significant factors affecting quality of health care. The results of this study show that various factors influence quality of health care. These findings can be used to develop strategies to improve health care.

• Communications for Statistical Applications and Methods
• /
• v.31 no.3
• /
• pp.323-336
• /
• 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.

• Health Policy and Management
• /
• v.14 no.2
• /
• pp.99-116
• /
• 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.

• Research in Community and Public Health Nursing
• /
• v.14 no.4
• /
• pp.629-638
• /
• 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.

• Journal of Korean Public Health Nursing
• /
• v.22 no.2
• /
• pp.211-223
• /
• 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.