• Korean Journal of Health Education and Promotion
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• v.33 no.5
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• pp.83-91
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• 2016

Objectives: This study was aimed to investigate utilization of health promotion indices of the 3rd National Health Plan 2011-2020 (HP2020) in the 6th Korean Community Health Plan. Methods: Health promotion indices were defined as a set of indicators on smoking, alcohol drinking, physical activity, nutrition and obesity used in HP2020. This indices were categorized into essential indicator, accessory indicators and others. Based on chi-square test, we analyzed utilization of health promotion indices in 186 Community Health Plans by regional classifications: four large influence areas (SudoGangwon, Chungcheong, Gyeongsang and HonamJeju) and four regional classification (metropolitan district, city, urban-rural area and rural area) Results: Among total 186 plans, indicator utilization rate were 97.8% in smoking, 71.0% in alcohol drinking, 91.9% in physical activity, 99.5% in nutrition and 72.0% in obesity. Utilization rates of alcohol drinking indicators and essential indicators in alcohol drinking show significantly difference by four large influence areas (p<0.01) and four regional classification (p<0.01). Essential indicators in physical activity show significantly difference by four large influence areas (p<0.01). Conclusions: Central government must provide technical assistance and educate personnel in community health centers and provincial health department about meaning and usefulness of Health Plan 2020 indicators.

• Journal of Environmental Health Sciences
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• v.42 no.5
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• pp.302-313
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• 2016

Objectives: This study was conducted to assess environmental health status on a local scale using environmental health-related indicators. It demonstrated the possibility of using a structural equation model, a methodological approach to provide synthesized information. Methods: Eighteen indicators were selected from official statistical data published by local governments. Each environmental health-related indicator was classified according to the PSR (pressure-state-response) model. Aggregation methods were performed using principal component analysis and fuzzy sets. Results: The five principal components were classified through principal component analysis (PCA) and obtained eigenvalues >1.0 from the initial 18 indicators. The aggregated index was obtained by condensing the original information into two broad and simple categories through fuzzy sets. Conclusion: This could be useful in that the aggregation procedure may provide a basis for establishing environmental health policies and a decision-making process. However, the availability and quality of indicators, assessment of aggregation method bias, choice of weighted scores for indicators, and other factors should be examined in future studies.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.197-206
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• 2015

Objectives : This study presents comparison results of the correlations between ODA grants and health indicators among 23 countries in Asia. Methods : Data from 2005~2013 were collected through the World Development Indicator (WDI) provided by the World Bank (WB). The health-related variables used in this study included the maternal mortality ratio, infant mortality rate under five, infant mortality rate, incidence of tuberculosis, and prevalence of AIDS. Results : Based on the results, there were positive correlations between ODA grants and health indicators, which means that the overall ODA grants would drop when the health indicators improved. As for differences in the health indicators by income groups among the countries, there were differences in the maternal mortality ratio, infant mortality rate under five, infant mortality rate, and overall ODA grants. The maternal mortality ratio, infant mortality rate under five, and infant mortality rate were lower in the order of upper middle, lower middle, and poorest income countries. Conclusions : The findings raise a need for the integrated and horizontal development of Goals 4, 5 and 6 of MDGs in the ODA projects of health sector in the future.

• Korean Journal of Health Education and Promotion
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• v.24 no.4
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• pp.41-64
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• 2007

Objectives: The purpose of this study was to verify the validity of the evaluation indicators on safety and health education programs provided to Korean industrial workers, by developing further. Methods: To develop the early evaluation indicator, the secondary analysis was made on 'Survey on Industrial safety & health trends', the national wide survey data product by Korea Occupational Safety & Health Agency, as well as the various examinations on literatures. To validate such developed evaluation indicator, 13 safety and health managers in Focus Group discussion to prove the reliability of the contents were composed. To confirm the face validity, the interview with 6 industrial safety and health education experts was held to study the appropriateness of the content. With the cooperation from Korea Occupational Safety & Health Agency, the structured survey was performed with the safety and health managers from 588 businesses who participated in the education program for the later half of 2006. In this study, the number of responses was randomly divided into 1:1 two groups, in which one group was for the Exploratory Factor Analysis and the other group was for the Confirmatory Factor Analysis. Results: The results were as follows. First, for the Structure category, 18 evaluation indicators were developed into 4 evaluation categories such as a preliminary examination, education staff and organization, education environment and rules/ regulation. Secondly, the Activity category was comprised of 10 evaluation indicators with respect to 2 areas of curriculum satisfaction and program evaluation. Finally, for the Output category, 9 evaluation indicators were developed into 2 evaluation areas such as documentation and information share and education effects. Conclusions: The evaluation indicators developed through this study will possibly develop and be applied to evaluation tools on safety and health education program, which may further become the standardized indicators to better operate the industrial safety and health education programs.

• Journal of Preventive Medicine and Public Health
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• v.50 no.4
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• pp.228-239
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• 2017

Objectives: This study aimed to examine the association between preschool education experiences and adulthood self-rated health using representative data from a national population-based survey. Methods: Data from the Korean Labor and Income Panel Study in 2006 and 2012 were used. A total of 2391 men and women 21-41 years of age were analyzed. Log-binomial regression analyses were conducted to examine the associations between preschool education experience and self-rated health in adulthood. Parental socioeconomic position (SEP) indicators were considered as confounders of the association between preschool education experience and adulthood subjective health, while current SEP indicators were analyzed as mediators. Age-adjusted prevalence ratios (PRs) and the associated 95% confidence intervals (CIs) were estimated. Results: Compared with men without any experience of preschool education, those with both kindergarten and other preschool education experiences showed a lower prevalence of self-rated poor health (PR, 0.65; 95% CI, 0.47 to 0.89). In women, however, such an association was not evident. The relationship of preschool education experiences with self-rated poor health in adulthood among men was confounded by parental SEP indicators and was also mediated by current SEP indicators. After adjustment for parental and current SEP indicators, the magnitude of the associations between preschool education experiences and adulthood subjective health was attenuated in men. Conclusions: Preschool education experience was associated with adulthood self-rated health in men. However, this association was explained by parental and current SEP indicators. Further investigations employing a larger sample size and objective health outcomes are warranted in the future.

• Korean Journal of Health Education and Promotion
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• v.24 no.3
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• pp.119-128
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• 2007

The purpose of this study is to develop Web database for healthy city that contains healthy city indicators for making city health plans, setting project priorities, monitoring projects, and evaluating healthy city projects, effectively. Using Delphi survey method for identifying indicator domains and indicators, we extracted nine domains with thirty-four healthy city indicators. Based on the appraisals of DB users about the contents of DB, a web database for healthy city Wonju was constructed. We developed a web database system for the purposes of sharing high quality health related data for managing and evaluating healthy city projects. The web database currently provides variety data in the web address, http://healthycity.wonju.go.kr/index.html. The web DB comprised with major healthy city indicators that are the most important indicators, healthy city indicator data that have a variety data set for encompassing all domain areas such as city infrastructure, health medicine, economies, and all other related areas and qualitative data that contains policy reports, research results, healthy city information and all other tips. A database of healthy city is very essential and important because it makes healthy city projects alive by managing and sharing healthy city related data effectively. But we need to fill out some blank cells in DB because there are currently unavailable data for some indicators. In conclusion, we expect the web DB contributes information sharing of healthy city project teams and improving healthy city project quality at Wonju city in Korea.

• Research in Community and Public Health Nursing
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• v.17 no.3
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• pp.407-418
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• 2006

Purpose: The purpose was to examine the level of perceived stress, lifestyle, and health status indicators and identify the relationships among them in medical center employees. Method: This study utilized data from Cohen's Perceived Stress Scale, health survey developed by National Health Insurance Corporation, and laboratory tests (such as liver enzyme or lipid profile) on 873 medical center employees. The data were analyzed using the SPSS 12.0 program through descriptive statistics, $x^2-test$, independent t-test, ANOVA and ANCOVA. Results: Perceived stress was relatively high, but lifestyle and health status indicators were good. Age, gender, and job were significantly related to perceived stress, life style, and health status indicators: younger employees, men, nurses reported higher stress; older employees, men and medical technicians reported worse life style; older employees, men and doctors showed more abnormal health status indicators. There was a significant relationship between perceived stress and life style: the higher the level of stress was, the more drinking or the more smoking they had. However, there was no clear relationship between perceived stress and health status indicators. Conclusion: Although the subjects' lifestyle and health status indicators were relatively good, their perceived stress was seriously high. Therefore, programs for reducing stress are necessary for medical center employees.

• Journal of Preventive Medicine and Public Health
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• v.52 no.1
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• pp.14-20
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• 2019

One of the primary goals of epidemiology is to quantify various aspects of a population's health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.

• Journal of the Korean Society of School Health
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• v.26 no.2
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• pp.104-113
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• 2013

Purpose: The aim of this study was to investigate prevalence and ecological characteristics of excessive television viewing among elementary school students in Seoul. Methods: Secondary data, representative sample of 11,082 subjects in Seoul was used. After prevalence of the excessive television viewing was identified by using factor analysis, 6 main factors explaining the ecological indicators was founded. After identifying prevalence of the excessive television viewing, by using factor analysis, we found 6 main factors explaining the ecological indicators. After categorizing factors into socio-psychological and lifestyle characteristics, we were investigated the odds ratio of excessive television viewing per characteristics by using multiple logistic regression. Results: The prevalence of excessive television viewing was 29.7% among the elementary school student in Seoul. The prevalence were higher in male, higher grade, and non-South of the Han River. Socio-psychological indicators which expressed excessive television viewing were annoying or bullying, scolding from teacher, depressed mode, thought for a runaway from home, an experience of diet, and negative body image. Life style indicators were a lower intake of fruit and vegetables, a higher intake of Ramyun and soft drink, a worse life style of hand washing, and wearing safety equipment. Conclusion: Lifestyle of television viewing was the comprehensive results from family, school, and society rather than a personal preference. Therefore, it is necessary to educate the hazard of excessive television viewing, to reenforce the students' health competence, to activate a safe leisure program as an alternate of television viewing, and to develop a recommendation.