• 대한예방한의학회지
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• 제19권2호
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• pp.37-50
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• 2015

Objective : In order to understand the scale of medicinal expenditure in the Korean medicine, an analysis has been made of Korean National Health Account and statistic archives used to estimate the Korean National Health Account and also of such archives as are contributory to learn the scale of total health expenditures in the Korean medicine. Method : From the Korean National Health Account archives, an analysis has been made of National health insurance statistic annual reports, National health insurance non-payment items, Korean Economic Census (The Service Industy Survey), and Korea Health Panel data. Moreover, in order to know the sales of overall Korean medicine clinics, relevant data have been utilized and cited from investigations into National tax statistics, Korean medicine medical institutions and Korean medicines used, and current states of medicinal herbs and Korean medicine industry. Results : It is found that the average scale of each section of the medical expenditures archives in the Korean medicine in 2012 was KRW 3.5638 billion and that the average medical expenditures in the Korean medicine derived from Total Health Expenditure, The Service Industy Survey, National tax statistic, and Korean medicine industry are approximately KRW 3.3901, 3.4796, 3.7218 and 3.9634 billion. And the average expenditures derived from National health insurance patients and Korea Health Panel data are 2.5162 and 2.2292 billion won and those from the users and consumers of Korean medicines and herbs are 5.6,461 billion won. In order to verify the appropriateness of estimated medical expenditures in the Korean medicine included in the archives, an analysis has been made of uninsured costs which come from the aggregate sales amount surveyed minus health insurance treatment expenditures and it is found that the ratio of insured costs against total health expenditures in 2006 was 50.67% and 41.92% in 2012 and that the ratio based on National tax statistics and The Service Industy Survey was 52.19% and 49.28% in 2006 and 50.54% and 50.64% in 2012 and that the ratio of uninsured costs against Korean medicines and herbs and Korean medicine industry was 37.5% and 58.27% in 2013. Conclusion : It calls for the improvement of the accuracy of an investigation into Total Health Expenditure which comprise the actual conditions of health insurance and Korea Health Panel, the development of statistic schemes for understanding and classifying medical expenditures of all the Korean medicine medicinal institutions like medicinal clinics, and enhanced methods for independent panels to comprehensively collect and analyze the number of sampled Korean medicine medical institutions.

• Communications for Statistical Applications and Methods
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• 제16권2호
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• pp.349-361
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• 2009

In this paper, we derive the approximate maximum likelihood estimators of the shape parameter and the scale parameter in a Weibull distribution under multiply Type-II censoring by the approximate maximum likelihood estimation method. We develop three modified empirical distribution function type tests for the Weibull distribution based on multiply Type-II censored samples. We also propose modified normalized sample Lorenz curve plot and new test statistic.

• Journal of the Korean Data and Information Science Society
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• 제22권3호
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• pp.467-476
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• 2011

우리나라의 건강보험제도권 내 해당되지 않은 상해상병 진료건 중 국민건강보험으로 부당 잘못 청구되는 진료건을 적발하여, 환수조치하기 위해서는 정확한 상해상병 조사대상자 선정이 필요하다. 그러나, 국민건강보험공단의 한정된 인력으로 증가하는 상해조사관련 업무량을 보다 효율적으로 대처하고, 수행하기 위해서는 상해요인조사 업무 효율화 및 환수 결정율 제고를 위한 조사대상자 발췌기준의 고도화 방안을 마련해야 한다. 이에 본 연구에서는 상해상병 유형에 대해 일정금액 이상 진료건의 발췌 등과 같은 과거의 발췌기준에서 데이터마이닝 기법과 같은 통계적 모형과 업무규칙을 함께 적용한 하이브리드 모형으로서 상해상병 조사대상자 선정기준을 제시하고자하였다.

• Journal of Preventive Medicine and Public Health
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• 제39권5호
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• pp.433-437
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• 2006

Objectives: The aim of this study is to develop a methodology for estimating a nationwide statistic for hernia operations with using the claim database of the Korea Health Insurance Cooperation (KHIC). Methods: According to the insurance claim procedures, the claim database was divided into the electronic data interchange database (EDI_DB) and the sheet database (Paper_DB). Although the EDI_DB has operation and management codes showing the facts and kinds of operations, the Paper_DB doesn't. Using the hernia matched management code in the EDI_DB, the cases of hernia surgery were extracted. For drawing the potential cases from the Paper_DB, which doesn't have the code, the predictive model was developed using the data mining technique called SEMMA. The claim sheets of the cases that showed a predictive probability of an operation over the threshold, as was decided by the ROC curve, were identified in order to get the positive predictive value as an index of usefulness for the predictive model. Results: Of the claim databases in 2004, 14,386 cases had hernia related management codes with using the EDI system. For fitting the models with applying the data mining technique, logistic regression was chosen rather than the neural network method or the decision tree method. From the Paper_DB, 1,019 cases were extracted as potential cases. Direct review of the sheets of the extracted cases showed that the positive predictive value was 95.3%. Conclusions: The results suggested that applying the data mining technique to the claim database in the KHIC for estimating the nationwide surgical statistics would be useful from the aspect of execution and cost-effectiveness.

• Journal of Preventive Medicine and Public Health
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• 제42권4호
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• pp.267-273
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• 2009

Objectives : To compare the performance of three comorbidity measurements (Charlson comorbidity index, Elixhauser s comorbidity and comorbidity selection) with the effect of different comorbidity lookback periods when predicting in-hospital mortality for patients who underwent percutaneous coronary intervention. Methods : This was a retrospective study on patients aged 40 years and older who underwent percutaneous coronary intervention. To distinguish comorbidity from complications, the records of diagnosis were drawn from the National Health Insurance Database excluding diagnosis that admitted to the hospital. C-statistic values were used as measures for in comparing the predictability of comorbidity measures with lookback period, and a bootstrapping procedure with 1,000 replications was done to determine approximate 95% confidence interval. Results : Of the 61,815 patients included in this study, the mean age was 63.3 years (standard deviation: ${\pm}$10.2) and 64.8% of the population was male. Among them, 1,598 2.6%) had died in hospital. While the predictive ability of the Elixhauser's comorbidity and comorbidity selection was better than that of the Charlson comorbidity index, there was no significant difference among the three comorbidity measurements. Although the prevalence of comorbidity increased in 3 years of lookback periods, there was no significant improvement compared to 1 year of a lookback period. Conclusions : In a health outcome study for patients who underwent percutaneous coronary intervention using National Health Insurance Database, the Charlson comorbidity index was easy to apply without significant difference in predictability compared to the other methods. The one year of observation period was adequate to adjust the comorbidity. Further work to select adequate comorbidity measurements and lookback periods on other diseases and procedures are needed.

• 한국융합학회논문지
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• 제4권2호
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• pp.1-8
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• 2013

이 연구는 최근 들어 국민소득이 늘어나고 생활수준이 향상됨에 따라 국민들의 의료에 따른 기대와 욕구의 증가로 인한 건강검진의 확실한 서비스가 필요로 되었으며 국민 입장에서 본 건강보험 공단의 건강검진에 대한 만족도를 알아보기 위해서 시행하였다. 2013년 3월부터 6월까지 부산시의 건강검진 수검자를 대상으로 건강검진에 대한 만족도와 인식조사를 자기기입식 설문조사로 시행했으며, 총 300부중 221부를 SPSS를 사용하여 교차분석, T-test, Anova 분석을 시행하였다. 결과로는 일반적 특성에 따른 건강검진 이용유무, 1개월전 의료기관의 이용유무, 하루 담배 흡연량의 차이, 술을 마시는 횟수에서 통계적으로 유의하였다. 또한 검진기관 만족도는 $3.22{\pm}0.52$, 검진서비스에 대한 의견은 $3.31{\pm}0.55$(5점 척도), 건강검진 태도는 $3.73{\pm}0.54$로 나타났다.

• Journal of Preventive Medicine and Public Health
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• 제34권3호
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• pp.219-227
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• 2001

Objectives : To understand the current status of the opening, closing and relocation of primary medical institutes in Korea and identify the underlying decision factors. Methods : Sources of analyzed data included the medical institutional master file at the National Health Insurance Corporation(1998, 2000) and Regional Statistic Annual Bulletins. To investigate changes including the opening, closing and relocation, a total of primary medicalinstitutions(16,757 in 1998, 19,267 in 2000) were analysed. Results : Between 1998 and 2000, there was a 15.0%(2,510) increase in the number of primary medical institutions and the rate of increase in the rural area was higher than the urban area, and higher for specialty clinics than primary practice. However, these findings did not suggestany improvement in the maldistribution of primary medical institutions. During the time period studied, newly opened and closed primary medical institutions numbered 4,085 and 1,573, respectively. Additionally, institutions thatrelocated numbered 2,729, or 16.3% of all primary medical institutions in operation in 1998. These openings and closings were more frequent among young doctors. As a result of our analysis on the underlying regional factors forrelocation, the factors that were statistically significant were local per capita tax burden and the number of schools per ten thousand persons. !n, the case of institutional factors, movements were significantly associated with gender and the location of primary medical institutions. Conclusions : In order to establish effective long-term intervention for primary medical institutions, further study and monitoring of primary medical institutions and the identification of factors influencing opening location and relocation is necessary.

• 보건행정학회지
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• 제28권3호
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• pp.257-262
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• 2018

This study reviews the advent of long-term care (LTC) hospitals and its key issues in Korea. For analysis, enforcement ordinances and enforcement rules related to LTC hospitals were reviewed. Official statistic data were used for quantitative analysis and Organization for Economic Cooperation and Development data were utilized for comparative analysis. Various references and expert interviews were conducted for status analysis. As of 2016, the number of LTC hospitals was 1,386 and the number of beds were 246,373. It showed the trend of increasing medical care costs and the cost of care at LTC hospitals increasing from 998.8 billion Korean won in 2008 to 4,745.6 billion Korean won in 2016, accounting for 7.3% of the total National Health Insurance expenditure. From the societal perspective, several issues were pointed out within the current health care system related to LTC hospitals: establishment of roles, concerns about the increase in medical expenses, and the quality of medical personnel.

• 농촌의학ㆍ지역보건
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• 제31권1호
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• pp.9-20
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• 2006

본 연구는 전국 및 시도별로 결핵 사망률의 의료보장 유형에 따른 차이를 분석하고 관련 요인을 파악하기 위해 시행되었고 다음과 같은 결과를 얻었다. 의료급여 대상자는 건강보험 가입자에 비해 결핵 사망률이 5.6배가 높으며 남자에서는 6.3배, 여자에서는 3.8배 높아 의료보장 유형별 결핵 사망률비는 남자에서 더 높은 것으로 나타났다. 또한 각 연령군에서의 의료보장 유형별 결핵 사망률비는 30대, 40대, 50대의 장년층에서 가장 높은 것으로 나타났으며 이러한 경향은 남자와 여자 모두 비슷하였다. 시도별 의료보장 유형별 결핵 사망률 차이는 광역자치단체마다 다른 양상을 보였다. 이러한 차이에 영향을 미치는 변수로는 재정자립도, 인구밀도, 보건소당 관할 인구수, 백만명당 병원수, 의료급여 대상자 비율로 나타났다. 본 연구 결과를 종합하여 볼 때 의료급여 대상 결핵 환자들의 결핵관리에 문제가 있으며 특히 의료급여 대상자의 중장년 계층 결핵관리가 취약하고 이는 지역별로 차이가 있음을 알 수 있었다. 그리고 인구밀도가 높고 의료급여 대상자가 적은 비율로 있으며 재정자립도가 높은 대도시지역 일수록 건강보험 가입자에 비해 의료급여 대상자의 결핵 사망률의 격차가 높은 것으로 나타나 이들의 결핵관리 실태에 대한 보다 체계적이고 정밀한 연구가 추후 필요할 것으로 판단된다.

• 한국병원경영학회지
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• 제14권1호
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• pp.23-35
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• 2009

The objectives of the present study is to examine the validity of Charlson Comorbidity Index(CCI) based on medical record data; to utilize the index to determine outcome indexes such as mortality, length of stay and cost for the domestic patients whose have received total hip arthroplasty. Based on medical record date, 1-year Mortality was analyzed to be 0.664 of C statistic. The $R^2$ for the predictability for length of stay and the cost was about 0.0181, 0.1842. Fee of national health insurance and total cost including the cost not covered by insurance, also had statistically significance above 3 points of Charlson point score(p=0.0290, 0.0472; $p.{\le}0.05$). The 1-year mortality index, length of stay and cost of the total hip arthroplasty patients which was obtained utilizing CCI have a limitative prediction power and therefore should be carefully analyzed for use.