• 보건행정학회지
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• 제3권2호
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• pp.159-176
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• 1993

The utilization of outpatient care services involves two steps of sequential decisions. The first step decision is about whether to initiate the utilization and the second one is about how many more visits to make after the initiation. Presumably, the initiation decision is largely made by the patient and his or her family, while the number of additional visits is decided under a strong influence of the physician. Implication is that the analysis of the outpatient care utilization requires to specify each of the two decisions underlying the utilization as a distinct stochastic process. This paper is concerned with the number of physician visits, which is, by definition, a discrete variable that can take only non-negative integer values. Since the initial visit is considered in the analysis of whether or not having made any physician visit, the focus on the number of visits made in addition to the initial one must be enough. The number of additional visits, being a kind of count data, could be assumed to exhibit a Poisson distribution. However, it is likely that the distribution is over dispersed since the number of physician visits tends to cluster around a few values but still vary widely. A recently reported study of outpatient care utilization employed an analysis based upon the assumption of a negative binomial distribution which is a type of overdispersed Poisson distribution. But there is an indication that the use of Poisson distribution making adjustments for over-dispersion results in less loss of efficiency in parameter estimation compared to the use of a certain type of distribution like a negative binomial distribution. An analysis of the data for outpatient care utilization was performed focusing on an assessment of appropriateness of available techniques. The data used in the analysis were collected by a community survey in Hwachon Gun, Kangwon Do in 1990. It was observed that a Poisson regression with adjustments for over-dispersion is superior to either an ordinary regression or a Poisson regression without adjustments oor over-dispersion. In conclusion, it seems the most approprite to assume that the number of physician visits made in addition to the initial visist exhibits an overdispersed Poisson distribution when outpatient care utilization is studied based upon a model which embodies the two-part character of the decision process uderlying the utilization.

• 지역사회간호학회지
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• 제13권2호
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• pp.272-279
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• 2002

Objectives: The purpose of this study was to analyze health service utilization, and its related factors in low income families who earned half of the average Korean household income. Methods: This was a cross-sectional descriptive survey study in which a nationwide randomization sampling technique was used. The data were collected from July 12 to August 7, 1999, and the total sample size was 5,819 individuals, belonging to 1.753 households. Results: 1) In the utilization of health services for the last 3months, the pharmacy was the type of service that was the most utilized (32.0%), and the health center was the one that was the least utilized (10.3%). About 29% (29.2%) of the respondents could not utilize the health service at all. and 19.8% of the respondents terminated their medical treatments half way to completion because of financial difficulty (89.4%). 2) Analysis of the data using logistic regression showed that living with spouse, level of education, occupation, and income had statistically significant effects on health service utilization. Conclusion: The parameters of health care policies are equity and efficacy for health status, and the health service utilization by low income families. The conclusive resolution for these is the improvement of public health centers for an increased utilization rate of their services.

• 지역사회간호학회지
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• 제21권3호
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• pp.321-332
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• 2010

Purpose: This study examined change in healthcare utilization by disease severity after case management (CM) for Medicaid. Methods: Data were extracted from survey data on "Healthcare utilization and health status of Medicaid beneficiaries" conducted in 2007 and 2008 by the Ministry for Health, Welfare and Family Affairs. This study was designed to compare change in healthcare utilization between the CM group and the non-CM group. The subjects were 528 Type I Medicaid beneficiaries who utilized healthcare more than 365 days during 2006. Results: In beneficiaries having fewer than 3 among the 11 notified diseases, the CM group showed a significantly larger decrease in outpatient day, outpatient expense, medication day, and medication expense than the non-CM group. In beneficiaries having 3 or more among the 11 notified diseases, however, there was no significant difference in healthcare utilization between the CM group and the non-CM group. Conclusion: CM worked effectively on Medicaid beneficiaries outpatient healthcare utilization for mild diseases. However, its effects on hospitalization, which is a major cause increasing the total expense, were not observed. Therefore, a future study is needed to develope strategies to reduce hospitalization and care for Medicaid beneficiaries with severe diseases.

• 대한설비공학회지:설비저널
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• 제8권4호
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• pp.266-280
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• 1979

The renewed interest in the utilization of solar energy has revealed the need for reliable data concerning the irradiation of surfaces inclined at various angles, This report outlines the mantel in which these data were developed, presents the data in tabulated form and contains illustrative examples of how the data may be applied in the solution of solar energy utilization problems. The calculations performed and the data presented apply to latitudes 34 deg through 38 dog in South Korea.

• Journal of Preventive Medicine and Public Health
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• 제23권3호
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• pp.345-357
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• 1990

Accumulated data on medical care utilization among the insured in Korea Medical Insurance Corporation can explain the health status of the population. The purpose of this study was to analyze a change of the disease-mix and utilization pattern by controlling the size of the population enrollment. Major findings of the study are as follows : 1. The changes of inpatient disease-mix a. Utilization rate was 139.2% in 1988 against 1980. b. Disease groups higher than the average utilization rate included neoplasms, endocrine, nutritional and metabolic diseases and immunity disorders, mental disorders etc. Meanwhile, disease groups seen less often were infections and parasistic diseases, diseases of blood and bloodforming, diseases of the digestive system etc. c. Utilization rate was up 106.3% in 1988 compared to 1985, and diseases above that average level were ill-defined intestinal infections, chronic liver disease and cirrhosis, diabetes mellitus, essential hypertension, etc. d. The disease-mix by institution in 1988 compared to 1985 shows that chronic disorders rank high in general hospitals whereas opthalmologic, obstetric, and orthopedic diseases rank high in private clinics. 2. The changes of outpatient disease-mix a. Utilization rate was up 175.2% in 1988 compared to 1980. b. Disease groups higher than the average utilization rate included neoplasms, endocrine, nutritional and metabolic diseases and immunity disorders, mental disorders etc. And disease groups seen less often were infections and parasistic diseases, diseases of the respiratory system, diseases of the genitourinary system. etc. c. Utilization rate was up 104.0% in 1988 compared to 1985, and diseases above that average level were gastric ulcer, diseases of hard tissues of teeth, etc. And diseases seen below that average level were acute nasopharyngitis(common cold). acute upper respiratory infections of multiple or unspecified sites, etc. It was concluded that medical care utilization level was increased, and that, from 1980 to 1988, disease-mix shifted to the chronic disorders. Chronic disorders accounted for more medical care utilization in general hospitals.

• 정보화정책
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• 제27권3호
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• pp.82-111
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• 2020

최근 빅데이터 활용의 영향요인으로 개인정보 규제요인과 가명정보 결합이 핵심 정책수단으로 등장하고 있다. 본 연구는 개인정보 규제요인과 빅데이터 활용의 관계에서 제3의 변수로서 가명정보 결합의 매개효과 및 조절효과를 실증분석하였다. 분석결과, 첫째, 개인정보 규제요인 중 개인정보 정의, 개인정보 동의, 법령위반 처벌강도 요인이, 그리고 가명정보 결합요인 중 결합 비식별성, 결합 가명정보 표준화, 결합 책임성이 빅데이터의 활용에 정(+)의 유의한 관계를 보였다. 둘째, 가명정보 결합 요인 중 결합 비식별성, 결합 가명정보 표준화, 결합 책임성이 개인정보 규제요인과 빅데이터 활용과의 관계에서 정(+)의 매개효과를 보였다. 셋째, 개인정보 규제요인과 빅데이터 활용과의 관계에서 가명정보 결합기관 유형인 자유형, 중개형, 지정형의 순서에 따라 조절효과가 다를 것이라는 가설은 기각되었다. 이상의 분석결과를 기반으로 개인정보 보호와 빅데이터 활용이 조화를 이루는 '착한규제'의 정책대안을 제시하였다.

• 한국임상약학회지
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• 제30권2호
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• pp.73-80
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• 2020

Objective: The Australian Pharmaceutical Benefits Scheme (PBS) is a national drug subsidy program. Given the similarity and comprehensiveness of the Australian PBS and the Korean National Health Insurance (NHI) data, these data are increasingly used for pharmacoepidemiological investigations, as well as international comparative studies. This study aims to introduce the various sources of publicly available PBS data and provide a practical guide to researchers conducting drug utilization studies. Methods: We searched literature and websites to detail and compare the collection, structure, components, and characteristics of each PBS data format. We identified different characteristics of the PBS data from the Korean NHI claims data which are mainly owing to their unique co-payment policies and data collection processes. In addition, the utilization and expenditure of atorvastatin, a widely used treatment for hyperlipidemia, were analyzed using two different sources of PBS data and the different results were interpreted. Results: There exist differences in when data were collected or non-subsidized uses of medicine were included among sources of PBS data. Additionally, two countries have different cost sharing methods inmedicine subsidy scheme; co-payment in Australia and co-insurance in Korea. Therefore, it should be noted that prescriptions under co-payment are not included in some data sources in Australia. Conclusion: Despite several analytical challenges, open access and easy data management are the strengths of the PBS data sources. A detailed knowledge of the PBS data can ensure robust methodology and interpretation of pharmacoepidemiological investigations or international comparative studies.

• 대한한의학회지
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• 제43권1호
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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.

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.49-55
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• 2018

In this paper, we propose schemes of blockchain utilization in tactical communication environment. The military tactical communication environment has similar characteristics with blockchain network such as distributed architecture, decentralization, and the need for data integrity. A communication node constituting a tactical communication network is constituted by a system capable of configuring and connecting a network for each node. When a communication node, having such capabilities, is configured as a node of blockchain network, various functions could be performed. In this paper, we propose utilization schemes of authentication, integrity, record management, and privilege control based blockchain technology. Functions for authentication, integrity verification, and record management need to ensure the stored data and could track history. The requirement of function's characteristics are matched to blockchain which is storing data sequentially and difficult to hack data, so that it could perform functionally and sufficiently well. Functions for authority control should be able to assign different privileges according to the state of the requestor. Smart contract will function when certain conditions are satisfied and it will be able to perform its functions by using it. In this paper, we will look over functions and utilization schemes of blockchain technology which could reliably share and synchronize data in a tactical communication environment composed of distributed network environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5357-5381
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• 2018

Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.