• Health Policy and Management
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• v.13 no.1
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• pp.69-97
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• 2003

This study focuses on the determinants of the community health service utilization. Theories suggest seven models for community health service utilization, which are divided largely into two groups such as Health Service Supply Model and Health Service Demand Model: Supply Model includes Medical Implements Model, Personnel and Budget Model, Management System Model, Staffs' Behavior Model, Service Quality Model; Demand Model includes Area Model and Clients' Characteristics Model. This paper tests how the above models influence on the community health service utilization. After interviewing some administrative staffs of the Community Health Service Center at Pusan, questionnaires were made and mailed to the staffs of 198 Korean Community Health Service Center as a universe, among which from 98 centers we got response. Analyzing the data from the questionnaires, we found "the number of personnels in the health service center" and "demands for medical service" as important variables to affect the utilization of the community health service center. These two variables are typical factors representing Supply Model and Demand Model each. However, the variables selected from Management System Model, Administrative Behavior Model, Service Quality Model and Area model are not significant in a statistical sense. The paper suggests that to recruit the personnels, especially nurses, and to make out the demands of the clients for health service be the precedent conditions to increase the utilization of the Community Health Service Centers in Korea.ce Centers in Korea.

• Journal of Fisheries and Marine Sciences Education
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• v.22 no.4
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• pp.589-603
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• 2010

The purpose of this study is to develop a integrated(fusion) utilization model aimed at maximizing the development/management functions of urban estuarine area and to present an integrated concept by analyzing the existing document and data. The main points of this study are as follows: 1) The integrated utilization model suggested in this paper goes beyond the existing idea of sustainable utilization and conservation, putting an emphasis on rational decision-making in estuary management and peaceful coexistence between human and nature. 2) Policies for utilization/development/conservation/regeneration of urban estuarine area include the establishment of communication system between human and nature and a safety net considering both human and nature, the support for environment-friendly community development and the importance of preserving valuable ecosystem and wetland habitat. 3) Lastly, this study suggested that the major tasks for the fusion utilization model development are the integrated management of estuary areas, the conservation and preservation of wetland ecosystem, proper utilization of estuary's productivity, and the introduction and action plans of the integrated management model including the best way to address contamination and disaster management.

• ETRI Journal
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• v.29 no.6
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• pp.829-831
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• 2007

This letter proposes an analytical model to characterize medium utilization in IEEE 802.11e operating in HCCA-EDCA mixed mode (HEMM). In contrast to existing works which model the backoff process in individual stations, we consider the channel occupancy pattern. Additionally, our work considers the operation of HEMM, which is not widely documented. We show that the proposed model accurately characterizes medium utilization with no more than 5% error.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.13-24
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• 1985

This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.60-72
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• 2022

Objectives: This study aimed to analyze the Korean medical utilization and Korean medical expenses by characteristics of multicultural family members to investigate whether it affects Korean medical utilization. Methods: This study utilized The Korea Health Panel data in 2018, with 238 final participants. We performed a t-test and ANOVA on the difference between Korean medical utilization and Korean medical expenses according to Anderson's Model of Health Service Utilization variables. Logistic regression analysis and generalized linear model analysis were conducted to analyze Korean medical utilization factors. Results: The Korean Medical utilization was 12.61% among the multicultural family members. As a result of regression analysis, the female had high Korean medical utilization(p=.008), and rural area residents had low utilization(p=.017). Korean medical expenses were high when they were female or married. Including the utilization of western medical services by outpatients, Korean medical expenses were high when they were female or outpatients who received western medical services. Conclusions: As a result of this study, the factors influencing Korean medical utilization were gender and residence area. There were differences in Korean medical expenses depending on western medical services use or gender. Therefore, it is necessary to use these factors to expand the Korean Medical utilization by multicultural family members, and research of the Korean medical utilization by disease is needed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.8A
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• pp.1153-1159
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• 2000

This paper applies a seasonal ARIMA model to the timely forecasting in a line utilization and its confidence interval on the base of the past data of the lido utilization that QoS of the network is greatly influenced by and proposes the prediction algorithm of threshold violation in line utilization using the seasonal ARIMA model. We can predict the time of threshold violation in line utilization and provide the confidence based on probability. Also, we have evaluated the validity of the proposed model and estimated the value of a proper threshold and a detection probability, it thus appears that we have maximized the performance of this algorithm.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.

• Journal of agricultural medicine and community health
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• v.41 no.4
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• pp.183-194
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• 2016

Objectives: The purpose of this study was to investigate the differences of capacity of local health organization to regional characteristics and the influence of organizational capacity on organizational performance. Methods: The study used the secondary data for 160 local public health organizations from $5^{th}$ Community Health Plans and 2009 Community Health Survey. The collected data were analyzed using one-way ANOVA and multiple regression analysis. Results: Work force and budget showed differences in regional size and elderly population rate. And consumer satisfaction and health care utilization showed differenced in work force and budget. The regression model with total number of employee, number of registered nurses, number of doctors and budget against consumer satisfaction was statistically significant (F=14.70, p=<.001), and number of registered nurses was identified as a factor influencing consumer satisfaction. This model also explained 20.5% of service satisfaction. The regression model for consumer satisfaction was statistically significant (F=45.98, p=<.001), and total number of employee nurses was identified as a factor influencing health care utilization. This model also explained 53.1% of utilization. Conclusions: The findings of this study imply that organizational capacity as work force and budget should be increased to improve the organizational performance as consumer satisfaction and health care utilization.

• The KIPS Transactions:PartC
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• v.9C no.6
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• pp.841-846
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• 2002

We applies a seasonal ARIMA model to the timely forecasting in a line utilization and its confidence interval on the base of the past data of the line utilization that QoS of the network is greatly influenced by. And this paper proposes the learning algorithm of dynamic threshold in line utilization using the SARIMA model. We can find the proper dynamic threshold in timely line utilization on the various network environments and provide the confidence based on probability. Also, we have evaluated the validity of the proposed model and estimated the value of a proper threshold on real network. Network manager can overcome a shortcoming of original threshold method and maximize the performance of this algorithm.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.115-144
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• 2007

This paper is concerned with figuring out a scheme to facilitate UML utilization through examining the factors which affect the intention to use UML. For this, we conducted a survey of those factors among software engineers in IT service companies. In order to examine the factors affecting the intention to use UML, we developed a model by combining the Technology Acceptance Model and the Innovation Attributes Theory, which have been proved to explain well about the acceptance of new technologies and services. Statistical analysis shows that the subjective norm which is one of social factors has significant influence on the career consequences, and also on the compatibility when the result of UML utilization is demonstrable. The career consequences, the compatibility and the ease of use are found to have significant influence on the usefulness perception of UML utilization, implying that the recognition that one's future career can be affected in the long term by UML utilization is important in shaping how one perceives the usefulness along with the compatibility with one's current task type and the ease of use. The usefulness and the compatibility are evaluated to be the factors that have significant influences on the intention to use UML.