• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.588-591
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• 2010

본 연구는 행정자료인 건강보험 및 의료급여비용 청구자료를 이용하여 고혈압 환자의 투약 순응도를 분석하였으며, 투약순응도에 영향을 미치는 요인에 대하여 조사한 결과 아래와 같다. 연구대상자의 투약일수를 살펴보면 6개월 동안 148일(80%) 이상 혈압강하제를 처방받은 환자는 13.0%에 불과하였다. 고혈압상병(주.부상병)으로 외래를 방문한 평균 횟수는 4.3일, 방문한 기관수는 평균 1.1곳이었고, 한곳의 의료기관만을 이용한 환자가 전체의 94.9%로 나타났다. 당뇨병을 동반상병으로 가지고 있는 환자가 11.6%로 가장 많았고 고혈압 환자의 23.3%가 동반상병을 가지고 있었다. 연구 대상자 특성별 투약순응도를 비교해 보면, 남성, 건강보험 가입자, 종합전문을 주이용기관으로 이용하는 환자, 동반상병을 가지고 있는 환자에서 투약 순응도가 높았다. 65-74세까지 투약 순응도가 증가하다가 그 후 감소하는 경향을 보였다. 고혈압 환자의 투약 순응도에 영향을 미치는 요인 조사 결과 남성, 55-64세, 건강보험 가입자가 투약순응도가 높게 나타났다. 외래방문횟수가 증가할수록 투약 순응도가 증가하였다. 종합전문, 종합병원, 보건기관을 주 이용기관으로 방문하는 환자와 심장질환, 당뇨병을 동반상병으로 가지고 있는 환자에서 투약순응도가 높았다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1897-1904
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• 2010

The administration data of the national health insurance and health insurance bills were utilized in this study. The data of 432,915 patients who were at the age of 30 and up and used the out-patient departments of every medical institution located in some regions involving two southern and northern provinces once or more during a 184-day period from July to December. As a result of analyzing their prescription compliance and factors affecting it, the following findings were given: The average rate of the prescription compliance of the patients stood at 61.5 percent. It denoted that they were prescribed to take medicine for approximately 113 days during the six-month(184 days) period of time, and the rate of the patients who complied with the prescriptions just stood at 13.0 percent. They used out-patient department for 4.3 days on the average due to hypertension and they visited 1.1 medical institutions on the average. 94.9 percent just used a medical institution. The largest group (11.6%) suffered from diabetes as co-morbidity, and 23.3 percent of the hypertensives had co-morbidity. Concerning the relationship between their characteristics and prescription compliance, those who were male, who were beneficiaries of the national health insurance, who mainly used general hospitals and who suffered from co-morbidity complied better with the prescription they got. Their prescription compliance got better at the age of 65 to 74 and got worse afterwards. As for factors affecting their prescription compliance, the patients who were male, who were aged between 55 and 64 and who were beneficiaries of the national health insurance, who mainly used specialized general hospitals, general hospitals and public health centers and who had heart diseases and diabetes as co-morbidity complied better with the prescriptions. The above-mentioned findings of the study suggested that it's needed to make a factor analysis of the poor prescription compliance of patients from diverse angles, and that existing hypertension care plans should carefully be reviewed to improve the prescription compliance of patients and to find a feasible alternative. As hypertensives are easily likely to develop co-morbidity like diabetes, systematic health education should be provided for them to get into the right life habits such as taking low-salt meals or quitting smoking. In addition, the development of health care programs is required.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.22-32
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• 2016

As the number of aged population rapidly goes up, the cases of stroke and the related medical expenses continuously increase. The purpose of this study is to investigate the mortality of stroke patients based on CCI(Charlson Comorbidity Index) by utilizing the Korea National Hospital Discharge Injury Survey, analyzing the factors associated with the mortality of stroke patients. We analyzed 21,494 cases which are classified as the death of strokes aged over 20 years by using the Korea National Hospital Discharge Injury Survey between the year 2005 and 2010. In order to find out the mortality based on CCI and status of comorbidity, we used the technical statistics. We performed a logistic regression analysis to examine the reasons for the mortality of the strokes. We found that the independent variables for the influence of the mortality of strokes include age, type of insurance, residence urban size, size of hospital beds, the location of hospital, admission route, physical therapy, brain surgery, type of stroke, and CCI. This indicates that the effective monitoring on the age, types of stroke, comorbidity is needed. In addition to this, more medical support toward medicaid patients are needed, too. We believe that these results will be used positively for the evaluation of the stroke patients, providing the basic materials for the further research on the establishment of the health-related policy.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.309-319
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• 2016

There is a need to develop a data quality management algorithm in order to improve the quality of health care data. In this study, we developed a data quality control algorithms associated diseases related to diabetes in patients with hypertension. To make a data quality algorithm, we extracted hypertension patients from 2011 and 2012 discharge damage survey data. As the result of developing Data quality management algorithm, significant factors in hypertension patients with diabetes are gender, age, Glomerular disorders in diabetes mellitus, Diabetic retinopathy, Diabetic polyneuropathy, Closed [percutaneous] [needle] biopsy of kidney. Depending on the decision tree results, we defined Outlier which was probability values associated with a patient having diabetes corporal with hypertension or more than 80%, or not more than 20%, and found six groups with extreme values for diabetes accompanying hypertension patients. Thus there is a need to check the actual data contained in the Outlier(extreme value) groups to improve the quality of the data.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.327-336
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• 2014

This study aims to identify factors to affect regular utilization status of medical care in cardio-cerebrovascular patients. The research selected 770 cardio-cerebrovascular patients among surveyees from the Korea Health Panel 2010. We analyzed states of medical care utilization using descriptive statistics. Logistic regression analysis was used to examine the main factors associated with regular utilization status of medical care in cardio-cerebrovascular patients. In result, the significant factors associated with regular utilization status of medical care in cardio-cerebrovascular patients were age, education level, household income level. CCI, presence or absence of high risk drinking, and presence or absence of obesity. There's a high probability that patients aged between 60 and 69, equal to and higher than those of high school graduate in education level, upper middle class in household income, the higher CCI, absence of high risk drinking, presence of obesity utilize medical care services more regularly. Therefore, it is necessary to develop effective program and individualized approach for patients using lesser periodical medical care and patients with high risk drinking problem. In the future, these findings can be used an important data for healthcare policy and assessment.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.215-225
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• 2015

This study was conducted to develop a severity-adjusted LOS(Length of Stay) model for knee replacement patients and identify factors that can influence the LOS by using the Korean National Hospital Discharge in-depth Injury Survey data. The comorbidity scoring systems and data-mining methods were used to design a severity-adjusted LOS model which covered 4,102 knee replacement patients. In this study, a decision tree model using CCS comorbidity scoring index was chosen for the final model that produced superior results. Factors such as presence of arthritis, patient sex and admission route etc. influenced patient length of stay. And there was a statistically significant difference between real LOS and adjusted LOS resulted from health-insurance type, bed size, and hospital location. Therefore the policy alternative on excessive medical utilization is needed to reduce variation in length of hospital stay in patients who undergo knee replacement.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.207-209
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• 2010

본 연구는 행정자료인 건강보험 및 의료급여비용 청구자료를 이용하였으며, 일개지역(2개도, 남북)에 개설되어있는 전체 의료기관을 대상으로 진료일 기준 '08.7월~'08.12월(184일)동안 외래 방문이 1회 이상인 30세 이상의 수진자 432,915명을 대상으로 하였다. 투약순응도와 영향 요인을 분석하였다. 투약순응도에 영향을 미치는 요인으로는 남성, 55~64세, 건강보험 가입자가, 종합전문, 종합병원, 보건기관을 주 이용기관으로 방문하는 환자와 심장질환, 당뇨병을 동반상병으로 가지고 있는 환자에서 투약순응도가 높았다. 본 연구 결과 투약 순응도가 낮은 환자에 대한 다양한 요인분석이 필요하며, 투약 순응도를 높이기 위한 고혈압관리사업의 정책적 검토 및 대안이 필요할 것이다.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.245-257
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• 2015

This study was to develop the predictive model for severity-adjusted mortality of inpatients with multiple chronic conditions and analyse the factors on the variation of hospital standardized mortality ratio(HSMR) to propose the plan to reduce the variation. We collect the data "Korean National Hospital Discharge In-depth Injury Survey" from 2008 to 2010 and select the final 110,700 objects of study who have chronic diseases for principal diagnosis and who are over the age of 30 with more than 2 chronic diseases including principal diagnosis. We designed a severity-adjusted mortality predictive model with using data-mining methods (logistic regression analysis, decision tree and neural network method). In this study, we used the predictive model for severity-adjusted mortality ratio by the decision tree using Elixhauser comorbidity index. As the result of the hospital standardized mortality ratio(HSMR) of inpatients with multiple chronic conditions, there were statistically significant differences in HSMR by the insurance type, bed number of hospital, and the location of hospital. We should find the method based on the result of this study to manage mortality ratio of inpatients with multiple chronic conditions efficiently as the national level. So we should make an effort to increase the quality of medical treatment for inpatients with multiple chronic diseases and to reduce growing medical expenses.

• Health Policy and Management
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• v.21 no.4
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• pp.527-540
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• 2011

Some patients tend to visit tertiary hospitals instead of non-tertiary hospitals for minor illnesses, which is a chronic problem within the Korean health care delivery system. In order to reduce the number of patients with minor severity diseases unnecessarily utilizing the tertiary medical services in Korea, the Ministry of Health and Welfare raised the outpatient co-insurance rate for the tertiary hospitals in July, 2009. Another increase in the prescription drug co-insurance rate by the general and tertiary hospitals is scheduled to take place in the second half of 2011. An increase in copayments may discourage the utilization rate of medical services among the underprivileged or patients who require complicated procedures. This study aims to analyze the diabetic patients' utilization rates of tertiary hospitals according to the Comorbidity score. Diabetic patients' data was gathered from the Health Insurance Claims Records in the Health Insurance Review & Assessment Service between 2007-2009. Comorbidity scores are measured by the Charlson Comorbidity Index and the Elixhauser Index. Chi-square and logistic regressions were performed to compare the utilization rates of both insulin-dependents (n=94,026) and non-insulin-dependents (n=1,424,736) in tertiary hospitals. The higher Comorbidity outcomes in the insulin-dependent diabetic patients who didn't visit tertiary hospitals compared to those who did, was expected. However, after adjusting the gender, age, location, first visits and complications, the groups that scored >=1 on the comorbidity scale utilized the tertiary hospitals more than the O score group. Non-insulin-diabetic patients with higher Comorbidity scores visited tertiary hospitals more than patients who received lower grades. This study found that patients suffering from severe diabetes tend to frequently visit the tertiary hospitals in Korea. This result implied that it is important for Korea to improve the quality of its primary health care as well as to consider a co-insurance rate increase.

• Health Policy and Management
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• v.21 no.4
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• pp.541-564
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• 2011

This study aimed to investigate health outcome of acute myocardial infarction (AMI) patients such as mortality and length of stay in hospital and to identify factors associated with the health outcome according to the comorbidity index. Nation-wide representative samples of 3,748 adult inpatients aged between 20-85 years with acute myocardial infarction were derived from the Korea National Hospital Discharge Injury Survey, 2005-2008. Comorbidity index was measured using the Charlson Comorbidity Index (CCI). The data were analyzed using t-test, ANOVA, multiple regression, logistic regression analysis in order to investigate the effect of comorbidity on health outcome. According to the study results, the factors associated with length of hospital stay of acute myocardial infarction patients were gender, insurance type, residential area scale, admission route, PCI perform, CABG perform, and CCI. The factors associated with mortality of acute myocardial infarction patients were age, admission route, PCI perform, and CCI. CCI with a higher length of hospital stay and mortality also increased significantly. This study demonstrated comorbidity risk adjustment for health outcome and presented important data for health care policy. In the future study, more detailed and adequate comorbidity measurement tool should be developed, so patients' severity can be adjusted accurately.