• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.13-24
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• 2017

The Sample Cohort DB supplied by the National Health Insurance Service is a valuable resource for statistical studies as well as for health and medical studies. It takes significant time and effort to extract data from this Cohort DB having a large size. As such, we introduce a database system, conveniently called the National Health Insurance Service Cohort DB Extract Tool (NICE Tool), which supports several useful operations for effectively and efficiently managing the Cohort DB. For example, researchers can extract variables and cases related with study by simply clicking a computer mouse without any prior knowledge regarding SAS DATA step or SQL. We expect that NICE Tool will facilitate the faster extraction of data and eventually lead to the active use of the Cohort DB for research purposes.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1329-1346
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• 2016

Korea Health Panel (KHP) data and Korea National Health and Nutrition Examination Survey (KNHANES) data are collected by self-assess and self-report for individual's health status and medical use. Previous studies have claimed that the reliability for prevalence rates and health life expectancies obtained from these data should be validated. National Health Insurance Services in Korea recently released a sample cohort DB that contain all data related to the use of medical facilities for all entire Korea citizens. It has been shown that disease-specific prevalence rates calculated from these data are representative and reliable for the entire population. In this paper, we evaluate the reliability of prevalence rates derived from self-reported data such as KHP and KNHANES by comparing to the prevalence rates from the sample cohort DB. We found that both KHP and KNHANES underestimate prevalence rates and in turn overestimate health life expectancies. Moreover, the general trends of health life expectancies might be distorted (except for the sample cohort DB) because of sampling and non-sampling errors.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.1
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• pp.1-19
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• 2018

This study aims to analyze the regional patterns of user-provider in medical services for spatial improvement of national health care delivery system in south Korea. By using the National Health Insurance Service National Sample Cohort DB, the characteristics and changes in the medical service cases served outside of residing regions are found. In 2013 the rate of the cases served outside of residing regions was declined slightly and users of medical institutions outside of their residing area tended to have high income level relatively and to visit hospitals than clinics. And departments visited have changed from 2002.

• The Korean Journal of Applied Statistics
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• v.28 no.4
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• pp.663-683
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• 2015

The change of the population pyramid due to low fertility and rapid aging threatens the financial sustainability of National Health Insurance. We construct statistical models for prevalence rates and medical expenses using National Health Insurance Service (NHIS) sample cohort data from 2002-2013. We then project yearly expenditures and income of national health insurance until 2060 that considers various assumptions in regards to future population structure and economic conditions. We adopt a VECM-LC model for prevalence rates and the double exponentially smoothing method for the per capita co-payment of healthcare expense (in which the two models are institution-disease-sex-age specific) to project of national health insurance expenditures. We accommodate various assumptions of economic situations provided by the national assembly and government to produce a financial projection for national health insurance. Two assumptions of dependents ratios are used for the projection of national health insurance income to conduct two future population structures by the two assumptions of aging progresses and various assumptions on economic circumstances as in the expenditure projection. The health care deficit is projected to be 20-30 trillion won by 2030 and 40-70 trillion won by 2060 in 2015 constant price.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.475-486
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• 2017

This paper estimates the health life expectancies for Korean people based on a sample cohort database collected through objective measurements by the National Health Insurance Service. Health life expectancy is estimated using the single-state approach of Sullivan (1971). The 9-order correction factor method of Greville (1945) and Brass-logit model of Brass (1971) are also adopted for unobserved or incompletely observed age-specific morbidity and mortality. Based on the mortality and morbidity estimated from sample cohort DB, men and women in Korea are expected to live a 'healthy life' for 61 and 60 years in 2013, respectively, whereas life expectancies of men and women are 80 and 87, respectively. We also estimate certain disease-free life expectancies for each of genders, income levels, and types of insurance from 2003 to 2013 in Korea. We found that there exists an inequality of healthy life expectancy in Korea for different genders, income levels, and types of insurance.

• The Journal of the Korean dental association
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• v.54 no.8
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• pp.604-612
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• 2016

The aim of this study was to evaluate the effect of national health insurance coverage of periodontal scaling using the National Health Insurance Service-National Sample Cohort for 2009-2013. After the enforcement of periodontal scaling covered by national health insurance, the number of patients diagnosed with periodontal disease and received treatment, has increased from 35,234 to 99,576 people in the last 4 years. Further, the number of patients who received the treatment of periodontal disease more than once, have also increased to around 69% in 2013 when compared to 2012. Moreover, the number of patients receiving periodontal scaling has been steadily increasing every year. Among the patients who visited hospital for periodontal disease, there has been an increase of 280%. As a result, continuous public relations and long-term research on the effect of periodontal scaling as a prophylactic treatment is necessary.

• Journal of Periodontal and Implant Science
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• v.47 no.5
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• pp.264-272
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• 2017

Purpose: This study evaluated trends in tooth extraction due to acute and chronic periodontal disease (PD) using data from the National Health Insurance Service-National Sample Cohort for 2002-2013. Methods: A random sample of 1,025,340 individuals was selected as a representative sample of the population, and a database (DB) of diagnostic and prescription codes was followed up for 12 years. We used multivariate logistic regression analysis to assess the incidence of total extraction (TE), extraction due to periodontal disease (EPD), and immediate extraction due to periodontal disease (IEPD) according to sociodemographic factors (sex, age, household income, health status, and area of residence). Results: The incidence of tooth extraction was found to be increasing, and at a higher rate for TE in PD patients. In 2002, 50.6% of cases of TE were caused by PD, and this increased to 70.8% in 2013, while the number of cases of IEPD increased from 42.8% to 54.9% over the same period. The incidence rates of extraction due to acute and chronic PD increased monotonically. We found that the incidence rates of TE, EPD, and IEPD were all 2-fold higher among patients with high income levels and those who were not beneficiaries of health insurance. Conclusions: The rates of TE, EPD, and IEPD have been steadily increasing despite dental healthcare policies to expand public health insurance coverage, increasing the accessibility of dental clinics. Moreover, the effects of these policies were found to vary with both income and education levels. Consistent patient follow-up is required to observe changes in trends regarding tooth extraction according to changes in dental healthcare policies, and meticulous studies of such changes will ensure optimal policy reviews and revisions.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1027-1041
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• 2017

Hyperlipidemia, the status of blood with high level of low-density lipoprotein cholesterol (LDL-C), is known as a main cause of coronary artery diseases such as myocardiac infarction or brain infarct. Statin is the representative prescription to hyperlipidemia and the effects of it depend on the patient's individual conditions such as health-caring habits or adherence to medication. The main effect of statin is reducing LDL-C, which should reach the target range based on National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) guideline. In this research, the reduction of LDL-C and attainment to patient's target range are considered effects of statin. The association between factors - individual conditions and adherence to medication of patients - and the effects of statin is analyzed with National Health Insurance Service-National Sample Cohort (NHIS-NSC).

• The Journal of Korean Medicine
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• v.40 no.3
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• pp.1-20
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• 2019

Objectives: This study aims to investigate the effects of Korean Medicine Hospital Utilization (KMHU) on major adverse cardiovascular events (MACE), myocardial infarction (MI), stroke, and death in hypertensive patients taking antihypertensives. Methods: Using the Korean National Health Insurance Service-National Sample Cohort database, this study identified and diagnosed 68,457 hypertensive patients taking antihypertensives between 2003 and 2006. They were divided into KMHU and non-KMHU groups. The follow-up period ended with the diagnosis of myocardial infarction, stroke, or death. After propensity score matching (PSM), there were 18,242 patients each in the non-KMHU and KMHU groups. We calculated the incidence rate, hazard ratio (HR), and 95% confidence interval (CI) for MACE, myocardial infarction, stroke, and death in patients with hypertension using a stratified Cox proportional hazard model. In addition, secondary outcome analyses for stroke and cardiovascular mortality were performed. Results: After PSM, the HRs for MACE (HR: 0.84, 95% CI: 0.81-0.87), all-cause mortality (HR: 0.75, 95% CI: 0.72-0.79), and myocardial infarction (HR: 0.90, 95% CI: 0.83-0.97) were significantly lower in the KMHU group than in the non-KMHU group. Moreover, the HRs for stroke-related mortality, haemorrhage and ischaemic stroke-related mortality, and ischaemic heart disease-related and circulatory system disease-related mortality were significantly lower in the KMHU group than in the non-KMHU group. Conclusions: On long-term follow-up observation, this study supported the effect of KMHU for managing hypertension and reducing the burden of cardiovascular diseases.

• Journal of Korean Medicine Rehabilitation
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• v.27 no.2
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• pp.67-75
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• 2017

Objectives The study of the clinical effects of traditional east asian medicine (TEAM) using Taiwan national health insurance claim dataset (NHIRD) is useful in Korean Medicine research. We reviewed the clinical studies of TEAM using NHIRD as a whole through this study. Methods We comprehensively searched PUBMED and NHIRD DB for clinical effects of TEAM study using NHIRD from inception to 17, January 2017. As a result, 40 studies investigating the contribution of TEAM intervention to health benefit have been confirmed. We analyzed publication time, target disease, sample size, outcome measurement and main result of 40 searched studies. Results The number of TEAM studies using NHIRD grdually increasing. The topics of the team study using NHIRD covered a wide range of subjects including cardiovascular disease, tumor, gynecological disease, diabetes and kidney disease. The studies have shown large samples and reported significant effects on severe diseases. Conclusions The results of this study suggest that the study of Korean Medicine using Big data will be useful for decision making related to health care in Korea. However, considering the limited domestic Korean health insurance data, it will be necessary to activate the big data research of Korean Medicine through the establishment of a separate cohort in Korea.