• Smart Structures and Systems
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• v.24 no.3
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• pp.319-332
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• 2019

Structural health monitoring (SHM) is of great importance to super high-rise buildings. The Shanghai Tower is currently the tallest building in China, and a complete SHM system was simultaneously constructed at the beginning of the construction of the tower. Due to the variety of sensor types and the large number of measurement points in the SHM system, an online automatic structural health assessment method with few computations and no manual intervention is needed. This paper introduces a structural health assessment method for the Shanghai Tower that uses the coefficients of an autoregressive (AR) time series model as structural state indicators. An analysis of collected data indicates that the coefficients of the AR model are affected by environmental factors, and the principal component analysis method is used to remove the influence of environmental factors. Finally, the control chart method is used to track the changes in structural state indicators, and a plan for online automatic structure health state evaluation is proposed. This method is applied to long-term acceleration and inclination data from the Shanghai Tower and successfully identifies the changes in the structural state. Overall, the structural state indicators of the Shanghai Tower are stable, and the structure is in a healthy state.

• Journal of Korean Academy of Nursing
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• v.33 no.5
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• pp.625-632
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• 2003

Purpose: The purpose of this study was to assess the importance and sensitivity to nursing interventions of four nursing sensitive nursing outcomes selected from the Nursing Outcomes Classification (NOC). Outcomes for this study were 'Knowledge: Diet', 'Knowledge: Disease Process', 'Knowledge: Energy Conservation', and 'Knowledge: Health Behaviors'. Method: Data were collected from 183 nurses working in 2 university hospitals. Fehring method was used to estimate outcome and indicators' content and sensitivity validity. Multiple and stepwise regression were used to evaluate relationships between each outcome and its indicators. Result: Results confirmed the importance and nursing sensitivity of outcomes and their indicators. Key indicators of each outcomes were found by multiple regression. 'Knowledge: Diet' was suggested for adding new indicators because the variance explained by indicators was relatively low. Not all of the indicators selected for stepwise regression model were rated for highly in Fehring method. The R² statistics of the stepwise regression models were between 18 and 63% in importance by selected indicators and between 34 and 68% in contribution by selected indicators. Conclusion: This study refined what outcomes and indicators will be useful in clinical practice. Further research will be required for the revision of outcome and indicators of NOC. However, this study refined what outcomes and indicators will be useful in clinical practice.

• Research in Community and Public Health Nursing
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• v.22 no.3
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• pp.281-289
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• 2011

Purpose: The purpose of this study was to define and clarify the concept of health promotion 'competence' in public health nurses (PHNs). Methods: A hybrid model was used to develop the concept of competence. The model included a field study carried out in Seoul, Korea. The participants in this study were 20 PHNs who were working in the health promotion area. Results: The concept of health promotion competence was found to be a complex phenomenon having a meaning in two dimensions: personal-relationship and environmental-relationship. Four attributes and eight indicators were defined. Conclusion: Health promotion competence was defined as the ability to have understanding and flexibility in practicing (personal-relationship dimension) and to have capacity for uniqueness and leadership in planning (environmental-relationship dimension). Therefore, PHNs who work in the health promotion area should be equipped with attributes and indicators of health promotion competence to enhance their competence in health promotion.

• Environmental Analysis Health and Toxicology
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• v.30 no.sup
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• pp.3.1-3.11
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• 2015

Objectives This study presents the indicators and proxy variables for the quantitative assessment of green chemistry technologies and evaluates the relative importance of each assessment element by consulting experts from the fields of ecology, chemistry, safety, and public health. Methods The results collected were subjected to an analytic hierarchy process to obtain the weights of the indicators and the proxy variables. Results These weights may prove useful in avoiding having to resort to qualitative means in absence of weights between indicators when integrating the results of quantitative assessment by indicator. Conclusions This study points to the limitations of current quantitative assessment techniques for green chemistry technologies and seeks to present the future direction for quantitative assessment of green chemistry technologies.

• Korean Journal of Adult Nursing
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• v.15 no.1
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• pp.88-93
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• 2003

Purpose: This study was conducted to develop nursing outcome indicators based on nursing activities done for stroke patients. Method: focus group meeting and delphi technique, which consisted of clinical nurse experts, neurologist, and nursing professors. CVI(Index of Content Validity) and user validity test was performed. Result: 12 nursing diagnoses, 29 nursing interventions and nursing outcomes were identified. The former were from NIC and the latter were developed according to nursing interventions. They were verified by experts in focus group. 199 nursing activities were identified, 133 nursing outcome indicators were developed. In user validity, usefulness and usability were tested. Conclusion: This systemic approach of measuring nursing outcomes verified nurses' positive effects in changing patients health status and nursing contributions in the health care system as a profession.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.28 no.2
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• pp.164-177
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• 2021

Purpose: The purpose of this study was to develop effective management indicators for improving efficiencies of visiting nursing centers. Method: This was a methodological research study to develop the key performance indicators based on balanced score cards for long-term care visiting nursing centers. The main methods used in this study were literature review, focus group interview, and content validity index. The data analysis was used frequency, percentage, mean, and standard deviation. Results: The common vision of the long-term care visiting nursing centers was identified as "The healthy visiting nursing center to serve high quality cares." Eight action strategies and 15 key performance indicators to achieve this vision were developed. Conclusion: Based on the results of this study, we suggest that the developed balanced score cards will be used as an effective managerial guideline to improve performances of long-term care visiting nursing centers.

• Health Policy and Management
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• v.33 no.4
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• pp.421-431
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• 2023

Background: The coronavirus disease 2019 (COVID-19) pandemic has led to socio-economic issues, highlighting the importance of strengthening health systems for future infectious diseases. This study aims to analyze the relationship between health system preparedness, response levels, and COVID-19 fatality rates across 194 countries. Methods: This study examined various indicators of national health system preparedness and response, including health service delivery, health workforce, health information systems, essential medicines and health products, health financing, and leadership and governance. Results: A correlation was found between the health system and the COVID-19 case fatality rate (CFR). Further examination of specific indicators within health service delivery, health workforce, health information systems, health financing, and leadership/governance showed significant correlations with the CFR. Multiple regression analysis, considering aging and urbanization rates, identified reproductive/maternal/newborn and child health, infectious diseases, nursing and midwifery personnel density, birth registration coverage, and out-of-pocket health expenditure as significant factors affecting the CFR. Conclusion: Countries with strong health system indicators experience lower case fatality rate from COVID-19. Strengthening access to essential health services, increasing healthcare personnel and resources, ensuring reliable health information, and bolstering overall health systems are crucial for preparedness against future infectious diseases.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.217-229
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• 2014

This study was performed to identify neighborhood deprivation indicators associated with health and to test the contextual effects of those indicators on individual health. This study calculated SMR based on Dong district and see the differences of prediction across deprivation index and indicators. Then, a multi-level analysis using HGLM was conducted to test the contextual effect of neighborhood depreivation indicators on health after controlling for demographic and socioeconomic status of individuals. The results showed that regional SMR had strong correlations with land price, education, welfare recipients, female household proportion in Dong district but failed to show the correlation with individual health and neighborhood deprivation. Individual health was only associated with individual level of demographic and socioeconomic status. That is, spatial dispersion of illness is understood as the distribution of social classes in terms of socioeconomic status of individuals, not the contextual aspects of community.

• Korean Journal of Health Education and Promotion
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• v.20 no.1
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• pp.19-39
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• 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.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.319-322
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• 2003

Integrated coastal management (ICM) requires robust indicators that gauge the 'health' of the coast in relation to environmental, social and economic activities. Biological indicators(bio-indicators) offer a signal of the biological condition in an ecosystem. Using bio-indicators as an early warning of pollution or degradation in an ecosystem can help sustain critical resources. This review examines the rationale and value of selecting species as bio-indicators of human induced changes within estuaries, using examples from both the western and southern coast. It include a range of biological parameters relating to particular species, groups of species and biological processes. The use of these indicators is critically reviewed and the presence or absence of a relevant framework for their use in Korean ICM programs is discussed.