Kim, Chun-Bae;Go, Kawung-Uk;Park, Jae-Sung;Choe, Heon
Korean Journal of Health Education and Promotion
/
v.20
no.1
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pp.19-39
/
2003
Purpose: Although there is a lot of secondary data available for comparing community health status and planning health policies in terms of large area such as metropolitan cities or provinces, there is restricted data for establishing community health policies of the small areas such as towns, Gun(i.e., districts), and Gu. Specifically, the problems of producing a valuable index for health promotion in small areas are three fold: First, there is not an appropriate index model for measuring a small community health status. Second, a large part of secondary data in the small areas has been produced in an irregular time interval. In addition, all valuable data can not be integrated without time consuming work. Thus this study tries to establish a health promotion index model for assisting community health promotion initiatives of local governments. Methods and materials: Literature review, community health specialist consultation and a questionnaire survey was performed. Results: Based on Dever's model, a prototype of health promotion indicators was proposed and modified by the community health specialists. 15 classification scheme of statistical yearbook reorganized into the six areas. Those six areas were comprised in 24 indicator class with 96 specific indicators. Through further modification processes by a questionnaire survey, we developed a health promotion indicator model that contains six areas with 23 indicator class encompassed by 87 specific indicators. Conclusions: This study proposed a model of health promotion indicator comprised in the six areas with 23 indicator classes for measuring small area health promotion status. However, more specific or additional data in human biology, environment, and socioeconomic data is essential for producing a stronger model for health promotion measurement.
Purpose: The purpose of this study was to develop the school health indicator system for the health promotion of school children. Methods: Logic model was adopted for developing conceptual framework of school health indicator system and reviewed school health indicators developed by WHO, CDC, MEST and KCDC. Results: School health contents were classified into five area; school health policy, health promotion of school children, school health education, physical environment and community linkage. School health indicator system was developed for each area based on the logic model. Conclusion: Conceptual framework of school health indicator system was developed and school health indicator system was suggested according to the five school health areas.
Kim, Young Im;Jung, Hye Sun;Kim, Souk Young;Lee, Jong Eun
Korean Journal of Occupational Health Nursing
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v.13
no.2
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pp.140-147
/
2004
Purpose: The purpose of this study is to identify the types of worksite health promotion programs. Method: Data were collected from the excellent 35 cases chosen at the contest for worksite health promotion held by Korea Occupational Safety and Health Agency. Result: Out of all the health promotion programs, the exercise program recorded 35.0%, the nutrition program 29.4%, the smoking cessation program 28.0%, and the alcohol reduction program 7.6%. The major element of worksite health promotion programs were awareness raising intervention. Behavior change intervention and supportive environment intervention occupied a small portion of the health promotion programs. Evaluation of health promotion programs was made mainly by indicators of health behavior change and clinical symptom. Yet economical indicator was not used at all. Conclusion: Use of various evaluation indicator and development of various interventions including behavior change and supply of supportive environment are required to encourage worksite health promotion program.
The purpose of this study was to develop the evaluation indicator for the health promotion programs of the Community Health Centers and to test its validity. The modified logic model was used as the evaluation model based on the literature reviews. Using this model, four dimensions, eleven subdimensions, and fortyone individual indicators were developed. These evaluation indicators are superior in reflecting the distinctiveness of the community health promotion programs, and also flexible enough to accommodate diverse programs. These indicators also emphasize the role of process evaluation, and the diversity of outcomes. To test content validity, survey method of experts in the community health promotion field was conducted. Eleven in three expert groups(professionals, practitioners in Community Health Centers, and policy makers) generally agreed with the validity of evaluation indicators. To examine criteria and construct validity, these indicators were used to evaluate the health promotion programs conducted by the 18 Key Community Health Centers. The data came from the interview surveys of the main health promotion practitioner and 30 visitors from each center. The ranks of these eighteen Community Health Centers were computed from these data. There was no significant difference in ranking either by these indicators or by the existing indicators, which was developed by Technical Support and Evaluation Team for criteria validity. There was no statistically significant difference in ranking between input, process and outcome dimensions. Based on these study results, evaluation indicators developed in this study are valid to evaluate Community Health Center's health promotion program. It can be used both by the Community Health Center for internal evaluation, and by the stakeholders for external evaluation.
Kim, Hyun-Soo;Lee, Jong-Ha;Jeon, Hyo-In;Lee, Moo-Sik;Hong, Jee-Young
Korean Journal of Health Education and Promotion
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v.33
no.5
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pp.83-91
/
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.
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.
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.
There were numerous evidences that subjective health evaluation was a powerful indicator for morbidity and mortality in many countries. Since self-rated health (SRH) was a reasonable health measure, identifying predictors for SRH would be beneficial for assessment of overall health, monitoring health status, and development of health promotion programs. Health risks, health behavior, socioeconomic characteristics and social capital were potential indicators for SRH. We examined association. between SRH and indicators such as health risk factors, subjective living condition, income, education level and dietary variety score. Total 4,262 subjects, aged between 20 and 69 years old, were selected from KNHANES 2001; those who completed health examination, nutrition survey, and provided their socioeconomic information. Results of logistic regression showed that it was likely to have better SRH for those who were younger, male and have higher education, higher income, better living condition, no metabolic syndrome and higher dietary variety.
Correlations among body weight and sociodemographic factors, including life - style were tested as social determinants of health in a sample of 5,201 adults in Korea. The aim of this study was to determine the extent to which sociodemographic variables and life-style associated health behaviors explain body weight distribution. A second aim was to explain the relation of body weight and health status to stress the importance of body weight as an early risk indicator of health status. The canonical correlation between the weight distribution(underweight and overweight) and the independent variables was 0.29, 17% of the total variance was explained. Perceived health level represented the highest contribution(canonical coefficient 0.82) to body weight. Sociodemographic factors such as sex, economic status, and life-style factors such as smoking, exercise, regular meais and sleep showed comparatively high contributions to body weight. The relevance of body weight for health status including the rate of chronic disease and the rate of medical utilization was significant. Especially, underweight was clarified as being mere important than overweight to morbidity level and medical utilization. These findings suggest that perceived body weight is an important indicator of health status and is thus a valuable variable to be considered for nursing intervention and health education related to the promotion of health.
Objectives: This study examines that the compatibilities between the health promotion programs in community health center and the leading health indicators in National Health Plan. Methods: We analyzed health promotion programs associated with three health indicators; smoking(smoking rate in male), alcohol use(alcohol use rate in adults), obesity(obesity rate) in twenty five community health centers in Seoul. First, we classified three groups(excellent, fair and poor groups) using average scores of Seoul, that of Korea and National Health Plan2010 goals in three health indicators. Afterwards, we examined the compatibility between contents of health promotion programs regarding leading health indicators and the specific program activities. Results: The compatibility levels between health indicators and contents of health promotion programs was 80 % for smoking among fair and poor groups while fair and poor for smoking reported 60% and 70%, respectively. For obesity, excellent group reported 80% and fair group had 91%. Conclusion: In conclusion, although all districts were able to access available data for health indicators and health statistics every year, it seems that they did not only utilize these data enough in conjunction with health promotion programs but also did not integrate specific activities according to National Health Plan systematically.
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