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Original Article
Others Background and Data Configuration Process of a Nationwide Population-Based Study Using the Korean National Health Insurance System
Sun Ok Song1,2, Chang Hee Jung3, Young Duk Song1, Cheol-Young Park4, Hyuk-Sang Kwon5, Bong Soo Cha2,6, Joong-Yeol Park3, Ki-Up Lee3, Kyung Soo Ko7, Byung-Wan Lee2,6
Diabetes & Metabolism Journal 2014;38(5):395-403.
DOI: https://doi.org/10.4093/dmj.2014.38.5.395
Published online: October 17, 2014
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1Division of Endocrinology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea.

2Department of Medicine, Yonsei University Graduate School of Medicine, Seoul, Korea.

3Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

4Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

5Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea.

6Division of Endocrinology and Metabolism, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

7Department of Internal Medicine, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.

Corresponding author: Byung-Wan Lee. Division of Endocrinology and Metabolism, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. bwanlee@yuhs.ac
Corresponding author: Kyung Soo Ko. Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Sanggye Paik Hospital, Inje University College of Medicine, 1342 Dongil-ro, Nowon-gu, Seoul 139-707, Korea. kskomd@paik.ac.kr
*Sun Ok Song and Chang Hee Jung contributed equally to this study as first authors.
• Received: July 13, 2014   • Accepted: August 16, 2014

Copyright © 2014 Korean Diabetes Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • Background
    The National Health Insurance Service (NHIS) recently signed an agreement to provide limited open access to the databases within the Korean Diabetes Association for the benefit of Korean subjects with diabetes. Here, we present the history, structure, contents, and way to use data procurement in the Korean National Health Insurance (NHI) system for the benefit of Korean researchers.
  • Methods
    The NHIS in Korea is a single-payer program and is mandatory for all residents in Korea. The three main healthcare programs of the NHI, Medical Aid, and long-term care insurance (LTCI) provide 100% coverage for the Korean population. The NHIS in Korea has adopted a fee-for-service system to pay health providers. Researchers can obtain health information from the four databases of the insured that contain data on health insurance claims, health check-ups and LTCI.
  • Results
    Metabolic disease as chronic disease is increasing with aging society. NHIS data is based on mandatory, serial population data, so, this might show the time course of disease and predict some disease progress, and also be used in primary and secondary prevention of disease after data mining.
  • Conclusion
    The NHIS database represents the entire Korean population and can be used as a population-based database. The integrated information technology of the NHIS database makes it a world-leading population-based epidemiology and disease research platform.
History of the Korean Health Security system
Following the 'Medical Insurance Act' legislation in 1963, medical insurance societies for companies with more than 500 employees and insurance societies for public officials and private school employees were introduced in 1977. In addition to the expansion of coverage to smaller companies, universal coverage of the self-employed by medical insurance societies in rural and urban areas was implemented in 1988 and 1989, respectively. Based on the 'National Health Insurance Act' enacted in February 1999, all medical insurance societies were integrated into a single insurer in 2000. The single insurer was the National Health Insurance Corporation (NHIC). The single system was implemented to improve management efficiency and to achieve equity among insurance funds in relation to financial burden and other managerial issues [1,2,3]. In the same year, the separation of prescribing and dispensing drugs was also implemented. In 2008, the long-term care insurance (LTCI) system was introduced to alleviate the financial burden on unpaid family caregivers, helping elderly Koreans with difficulties performing the activities of daily living or housework due to geriatric diseases [4].
National Health Insurance system

National Health Insurance program

There are three main healthcare programs for universal coverage in Korea: National Health Insurance (NHI), Medical Aid (MA), and LTCI. The NHI program covers the whole population as a social insurance benefits scheme with the following features: it is compulsory and it provides short-term insurance; compulsory contributions are made according to ability to pay. The NHI program classifies individuals as either employees or self-employed. The MA program is managed by the Korean government. It is a public assistance scheme that secures the minimum livelihood of low-income households and assists with self-help by providing medical services [5]. The LTCI program is based on the principle of social solidarity. The program provides benefits for a period of at least 6 months.

NHI structure

There are three main regulators of the healthcare system in Korea: the Ministry of Health and Welfare (MOHW) and the National Health Insurance Service (NHIS), formerly NHIC (in 2013, NHIC changed its name into NHIS), and Health Insurance Review Agency (HIRA). MOHW supervises the NHI program through the formulation and implementation of policies. NHIS is a nonprofit organization and a single insurer that manages the NHI program. The NHI is responsible for managing enrolled and insured individuals and their dependents (spouse, direct lineal ascendants or descendants, and unmarried brothers or sisters), collecting of contributions and setting medical fee schedules. HIRA has a quality control role and evaluates healthcare performance and reviews medical billing and claims. HIRA also determines whether health care services are medically necessary and ensures that the services are delivered to beneficiaries at an appropriate level and cost [6]. Fig. 1 shows the "operational structure of the NHI program" [7].

Medical coverage of NHI

All Koreans residing in Korean territories are covered under one of the following three categories: employee insured, self-employed insured, and medical aid beneficiary [8,9]. Because the NHI program is mandatory for all Korean citizens, except for those with low incomes, health care providers cannot deny NHI patients and the enrollees are required to pay monthly contributions. The contribution to NHI is calculated based on an employee's wage and is paid by the company's employer. In the case of the self-employed, the cost is calculated based on the household income, property, income, vehicle(s) owned, age, and gender.

Types of insurance benefits

Although NHI covers the whole population as a compulsory scheme, not all items of healthcare are covered by the program. The aim is to cover the prevention and treatment of sickness and injury that result from daily life and childbirth. The program also covers health promotion and rehabilitation. NHI provides the same benefits package regardless of the contributions made, which are determined by the individual's ability to pay.
The benefits are granted both in-kind and in cash. The in-kind health benefits consist of health care benefits and check-ups. Health care benefits include diagnosis, tests, drugs, medical materials, treatment, surgery, preventive care, rehabilitation, hospitalization, nursing, and transportation provided by health care institutions in the treatment of disease, injuries, and so on. In the NHI program, the insured pay an average of 30% of the total medical costs related to almost all health care benefits. To discover and treat disease early and improve health, the NHI provides regular health check-ups and a cancer screening program. All insured Koreans who are at least 40 years old and their dependents can receive biannual health checks without cost. Under the cancer program, eligible people can receive examinations for the following specific cancers: cervical cancer for females aged 30 or older, stomach and breast cancer for those 40 or older, colon cancer for those 50 or older, and liver cancer for those aged 40 or older and considered a high-risk group for liver cancer based on the benefit details over the last 2 years. The individual is responsible for 10% of the cost.
There are two categories of items that do not have any coverage: (1) any medical services, drugs or materials provided or used for diseases that do not cause serious problems in daily life or work (simple snoring, fatigue, etc.); and (2) treatments that do not improve essential physical functions (e.g., plastic surgery, freckle removal, urogenic, and gynecological diseases that cause no problems in everyday life, treatment for narcotic addiction, orthodontics, etc.) [7,10]. In terms of financial coverage, copayments are applied for all medical procedures depending on the level of medical care received and whether the procedure was inpatient or outpatient [7].

Reimbursement flow

As shown in Fig. 1, the insured, the healthcare providers and the regulators of the healthcare system, including MOHW, NHIS, and HIRA, collaborate to operate the Korean NHI system. By providing healthcare to the insured, the healthcare providers can submit healthcare costs to NHIS. The claim costs are determined according to a coding system of disease and each medical treatment service. The coding system of disease follows diagnostic codes as per the International Classification of Diseases, 9th to 10th revision, clinical modification, ICD-10-CM code [11]. The claim data are sent to HIRA, which reviews the claims for reimbursement [6]. Finally, NHIS redeems their expenses paid and pays for healthcare service costs by paying healthcare providers or healthcare institutions. Therefore, nationwide claim data are collected by this review process operated by HIRA and is known as 'health insurance claiming data.' The claimed costs are reimbursed through fee-for-service for all services and referral levels. The physician fee is calculated by multiplying a resource-based relative value score for each treatment by the unit price.

Healthcare delivery system

The aim of the healthcare delivery system is to utilize healthcare services efficiently and to prevent patients from clustering at tertiary care hospitals. In principle, patients can select any practitioner or any medical care institution. If a patient wants to receive medical care from a tertiary care hospital, the patient has to present a referral slip issued by a doctor who works for an institution other than a tertiary care center. Exceptions to these referral channels are emergency medical care, rehabilitation, childbirth, medical service for a hemophiliac, family medicine, and dental care.
Study population
The baseline study population is all insured Koreans residing in Korean territories. These people are divided into three categories: NHI program for employee and self-employed groups and medical aid beneficiaries. The MA program is managed by the Korean government and is a public assistance scheme to secure the minimum livelihood of low-income households and to assist with self-help by providing medical services. As shown in Table 1 [12], 100% of the Korean population is covered by the Korean NHI system. In 2013, the NHI system covered 97.2% (n=49,989,620) of the population and the MA system covered the remaining and 2.8% (n=1,458,871) of the population.
Sources for data procurement
Subjects were identified from either the NHIS or HIRA databases. The HIRA database contains medical claims data for the entire Korean population as a result of the NHI system.
Quality of NHIS database
As described earlier, NHIS is a nonprofit organization and a single insurer that is responsible for operating a health insurance program. The NHIS manages the enrollment of the insured and their dependents and the collection of contributions. Based on the law, the NHIS may also perform compulsory financial collections from the insured. The data collected for this operation is called 'qualification and contribution data'.
As described in the introduction, health care providers submit reports about the medical services performed to HIRA, which is equivalent to a quality control department that provides a review of the medical costs incurred. These 'health insurance claiming reports' from healthcare providers contain information on the diagnosis and status of outpatients and inpatients. Additionally, the reports contain information related to drugs, such as the name, dosage, prescription date and periods, and method of administration. The reports also contain information on the use of laboratory and imaging tests.
Protection of personal information
The NHIS and HIRA provide data without the individual identifier, in accordance with the Act on the Protection of Personal Information Maintained by Public Agencies. Thus, the database included an unidentifiable code representing each individual. There are data concerning patient age, gender, diagnosis, and lists of prescribed drugs.
Data assessment
We obtained information on patient demographics, medical utilization/transaction information, insurer's payment coverage, and patient's deduction from the following databases: responsibility of payment and contribution of the insured database, claim database, health check-up database, and long-term insurance database.
The responsibility of payment and contribution of the insured database includes the following information: personal identification number (which is not a social identification number), sex, age, types of qualification (employee health insurance, self-employed health insurance, or MA program), date of birth, date of death, region where the insured applied for the NHI program, and disability and its type (if present).
The claim database consists of four detailed categories, including general information on specification (20T), consultation statements (30T), diagnosis statements determined by the International Classification of Diseases 10th revision (ICD-10; 40T), and detailed statements about prescriptions (60T). Each data table is designated by the letters 20T, 30T, 40T, 60T which consist of unique number table delimiter and T is referred to "table". Payment specification (20T) describes the following information: personal identification, health and medical care institution, principal diagnosis, first additional diagnosis, days of medical care, date of medical care commencement, number of visiting days, insurer and deduction payment, and so on. The consultation statement (30T) provides detailed information on the medical examination and treatment such as medical care, in-hospital administration of medicine, procedures, surgery, and so on. The diagnosis statement (40T) includes principal diagnosis and up to nine additional diagnoses. The detailed statement of prescriptions (60T) for the outpatient is a specification of prescription claims including the following: name of drug, date filled, days of supply, quantity dispensed, and price of each drug (Table 2).
As described above, the NHI program provides the benefits of a periodic health check-up program and a cancer screening program. The health check-up program allows data to be collected for the health check-up database. Each examinee must complete a standard questionnaire in this health check-up program. Thus, we can collect information for each examinee regarding past medical history, current medications, and lifestyle habits, such as drinking, smoking, exercise, and diet. In addition, we can collect information on anthropometric measurements, such as height, weight, body mass index, and blood pressure. Furthermore, several basic laboratory tests are performed in this health check-up program, including the following: urinalysis, hemoglobin, fasting glucose, lipid parameters (total cholesterol, triglycerides, high density lipoprotein cholesterol and low density lipoprotein cholesterol), creatinine, liver enzymes, hepatitis virus status, and simple chest radiograph.
The data in the long-term insurance database includes information on the presence of geriatric diseases and the cognitive function of the beneficiaries. Table 3 summarizes the data characteristics according to the NHIS program.
By applying the assumption of a hierarchy of health care actors and functions to the 27-box matrix established by Wendt et al. [13], the number of plausible healthcare system types shrinks to 10 (Table 4, Fig. 2) and there are various insurance systems depending on each national circumstances (Table 4) [13,14]. The compulsory nature of the Korean NHI system (established in 1989) means that the system provides universal coverage. NHI is a single insurer that manages the NHI program. It was one of the earliest adaptive organizations to exercise leadership in information technology (IT) among public institutions by strengthening and converging with the latest IT. Universal coverage made the NHIS database the best national indicator of health issues and has easy annual updates. Although NHIC fulfilled its public roles by building an information system in health policies, it did not fully provide scientific research data through cooperation with academic societies. The Korean Diabetes Association (KDA) and its members now face a demand to continually acquire new knowledge and conduct research using the public large-scale information system. Recently, the NHIS signed an agreement to provide open access to the databases with KDA for the benefit of Korean subjects with diabetes at 9th June 2014 [15].
Based on the lessons learned through past experiences in analyzing the Korea National Health and Nutrition Examination Surveys by KDA and its members, we have attempted to present the history, structure, contents, and a way to use data procurement in the Korean NHI system. The goal is to improve our understanding of the NHI database that contains the payment responsibility and contribution of the insured database, claim database, health check-up database, and long-term insurance database. However, there are some limitations in the use of these databases. These data do not include uninsured events and only represent the services covered by the NHI. The data may not be consistent with actual diagnosis because it is basically made for claim purposes. The consumption of over-the-counter drugs without medical prescription also cannot be determined using these databases. Previous studies showed that approximately 28% of total healthcare expenditure occurred in the non-reimbursed field. Additionally, only approximately 70% of primary diagnosis codes concurred with medical records and clinical diagnosis made by different subjective diagnostic criteria [16,17]. For these reasons, NHIS data might not reflect the genuine utilization pattern and should be validated [18]. Metabolic disease is incurable chronic disease such as diabetes, hypertension, etc., which is life-long after onset and produces various complications. Also, these diseases are more common with aging and give us persistently serious physical, psychological, and socioeconomic burden. There has been growing problem in aging society like our country. The Japanese Ministry of Health, Labour and Welfare (MHLW) is the main institution that conducts several surveys and collects health-care data. The MHLW has conceptualized the implementation of the National Claims Database, which is tasked to evaluate the government's Medical Care Expenditure Regulation Plan starting from 2008 which has two main targets: the prevention of lifestyle diseases and the shortening of the hospital length of stay. Japanese MHLW is for use in policy planning and decision making. Korea also began to use these data partially. Previous studies on osteoporosis [19,20] and gastric ulcer [21] were reported with using NIHS claim database shared with HIRA's database. Identification of the target population was based not only on the diagnosis code but also on the disease-specific interventions received by the patients [18]. NHIS data is based on mandatory, serial population data, so, this might show the time course of disease and predict some disease progress, and also be used in primary and secondary prevention of disease after data mining. There are various assignments in the field of diabetes, following as: from prevalence/incidence, mortality rate and cause, type/amount/cost of drug usage, changing trend in treatment modality, to outcome evaluation of the treatment with delta changes in indicators such hospitalization, mortality, complications in diabetic patients, and so on.
In conclusion, the NHIS database represents the entire Korean population and can be used as a population-based database. The integrated IT of the NHIS database makes it a world-leading population-based epidemiology and disease research platform.
Acknowledgements
The authors would like to thank Ji-Hae Yoon (Department of Benefit Security, National Health Insurance Service, Seoul, Korea) for her help.

No potential conflict of interest relevant to this article was reported.

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Fig. 1
Operational structure of the National Health Insurance program.
dmj-38-395-g001.jpg
Fig. 2
Plausible healthcare system types.
dmj-38-395-g002.jpg
Table 1
100% health insurance coverage for the Korean population by the National Health Insurance Service
dmj-38-395-i001.jpg

Modified from National Health Insurance Service [12].

Table 2
Components of claiming data in the National Health Insurance Service
dmj-38-395-i002.jpg

20T, 20 table, consist of unique number delimiter; 30T, 30 table, consist of unique number delimiter; 40T, 40 table, consist of unique number delimiter; 60T, 60 table, consist of unique number delimiter.

Table 3
The data characteristics according to the National Health Insurance Service program
dmj-38-395-i003.jpg
Table 4
Dispersion of OECD healthcare system
dmj-38-395-i004.jpg

R, regulation; F, financing; P, provision; St, state; So, societal actors; Pr, private actors.

aIndicates plausible, bIndicates implausible, cIndicates empirically existent types, dIndicates missing types, eOnly relative majority in financing, fOnly relative majority in service provision, gUntil 2013.

Figure & Data

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      Annals of Surgery.2023; 278(6): 1024.     CrossRef
    • Bovine pericardial versus porcine bioprosthetic aortic valves: A nationwide population-based cohort study in Korea
      Hong Rae Kim, Ho Jin Kim, Seonok Kim, Yejee Kim, Jung-Min Ahn, Joon Bum Kim, Dae-Hee Kim
      The Journal of Thoracic and Cardiovascular Surgery.2023;[Epub]     CrossRef
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      Dong Hwan Lee, Hwa Sung Lee, Soo Hyun Jang, Jun-Young Heu, Kyungdo Han, Se-Won Lee
      Journal of Clinical Medicine.2023; 13(1): 92.     CrossRef
    • Cost-effectiveness of the anti-vascular endothelial growth factor intravitreal injection and panretinal photocoagulation for patients with proliferative diabetic retinopathy in South Korea
      Hyeon-Jeong Lee, Songhee Cho, Jungeun Park, Yan Jin, Hyung Min Kim, Donghyun Jee
      BMC Health Services Research.2023;[Epub]     CrossRef
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      Tak Kyu Oh, In-Ae Song
      Nutrients.2023; 15(24): 5040.     CrossRef
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      Jiwon Kim, Namki Hong, Jimi Choi, Ju Hyung Moon, Eui Hyun Kim, Eun Jig Lee, Sin Gon Kim, Cheol Ryong Ku
      Endocrinology and Metabolism.2023; 38(6): 690.     CrossRef
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      Sang-Yong Eom, Hyun-a Jang, Yo Han Im, Kyung-Hwa Choi, Ji Hyoun Kim
      Rheumatology.2023;[Epub]     CrossRef
    • Proton Pump Inhibitor Co-Therapy in Patients with Atrial Fibrillation Treated with Oral Anticoagulants and a Prior History of Upper Gastrointestinal Tract Bleeding
      So-Ryoung Lee, Soonil Kwon, Eue-Keun Choi, Jin-Hyung Jung, Kyung-Do Han, Seil Oh, Gregory Y. H. Lip
      Cardiovascular Drugs and Therapy.2022; 36(4): 679.     CrossRef
    • Institutional case volume-incorporated mortality risk prediction model for cardiac surgery
      Seohee Lee, Eun Jin Jang, Junwoo Jo, Dongnyeok Park, Ho Geol Ryu
      Asian Journal of Surgery.2022; 45(1): 189.     CrossRef
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      Won Kyung Pyo, Ho Jin Kim, Joon Bum Kim, Sung-Ho Jung, Suk Jung Choo, Cheol Hyun Chung, Jae Won Lee
      Seminars in Thoracic and Cardiovascular Surgery.2022; 34(3): 906.     CrossRef
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      Min Kyung Chung, Chan Hee Lee, Jin Su Park, Hyunsun Lim, Jisoo Lee
      The Korean Journal of Internal Medicine.2022; 37(6): 1250.     CrossRef
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      In‐Ae Song, Eun Sun Jang, Tak Kyu Oh
      Hepatology Communications.2022; 6(4): 740.     CrossRef
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      Chan Joo Lee, Ji-Yeon Lee, Kyungdo Han, Da Hye Kim, Hanna Cho, Kwang Joon Kim, Eun Seok Kang, Bong-Soo Cha, Yong-ho Lee, Sungha Park
      Hypertension.2022; 79(1): 218.     CrossRef
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      Chang-Hoon Lee, Kyung-Do Han, Da Hye Kim, Min-Sun Kwak
      European Journal of Preventive Cardiology.2022; 29(3): 547.     CrossRef
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      Joonhyoung Kim, Kyungdo Han, Juhwan Yoo, Kyung-Ah Park, Sei Yeul Oh
      Neurological Sciences.2022; 43(5): 3395.     CrossRef
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      Journal of Chemotherapy.2022; 34(8): 534.     CrossRef
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      Bum Sik Tae, Young Eun Yoon, Woong Na, Kyung Jin Oh, Sung Yul Park, Jae Young Park, Hong Sang Moon
      Investigative and Clinical Urology.2022; 63(1): 92.     CrossRef
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      European Heart Journal.2022; 43(15): 1491.     CrossRef
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      Korean Circulation Journal.2022; 52(2): 136.     CrossRef
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      Changil Choi, Jong Keun Kim, Kyungdo Han, Young Goo Lee, Jun Hyun Han
      Investigative and Clinical Urology.2022; 63(1): 63.     CrossRef
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      BMC Pulmonary Medicine.2022;[Epub]     CrossRef
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    • Development of eClaim system for private indemnity health insurance in South Korea: Compatibility and interoperability
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      Health Informatics Journal.2022; 28(1): 146045822110710.     CrossRef
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      Journal of Neurotrauma.2022; 39(5-6): 390.     CrossRef
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      Bumhee Yang, Dong-Hwa Lee, Kyungdo Han, Hayoung Choi, Hyung Koo Kang, Dong Wook Shin, Hyun Lee
      Biomedicines.2022; 10(2): 303.     CrossRef
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      Sun-Yang Min, Ji Sung Lee, Duk-Woo Park, Jong-Min Song
      European Journal of Cardio-Thoracic Surgery.2022;[Epub]     CrossRef
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      Gyeongsil Lee, Seulggie Choi, Yoosun Cho, Sang Min Park
      Clinical Nutrition Research.2022; 11(1): 32.     CrossRef
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      Yongil Cho, Jaehoon Oh, Jeong-Hun Shin, Byung Sik Kim, Jin-Kyu Park, Jun Ho Lee, Jae Hwan Kim, Minae Park
      Resuscitation.2022; 173: 31.     CrossRef
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      Chung-woo Lee, Joo Kyung Lee, Yeon Joo Choi, Hyunjin Kim, Kyungdo Han, Jin-hyung Jung, Do Hoon Kim, Joo-Hyun Park
      Scientific Reports.2022;[Epub]     CrossRef
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      JAMA Network Open.2022; 5(2): e220262.     CrossRef
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      Endocrinology and Metabolism.2022; 37(1): 148.     CrossRef
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      Diagnostics.2022; 12(3): 663.     CrossRef
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      Eun Jee Park, Nam Ju Ji, Weon Young Lee
      Journal of Psychiatric Research.2022; 149: 226.     CrossRef
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      Scientific Reports.2022;[Epub]     CrossRef
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      Soo Youn Bae, Jihyoun Lee, Ji Sung Lee, Jae Sun Yoon, Ku Sang Kim, Yoo Seok Kim, Zisun Kim, Jun Won Min, Eun-Jung Shim, Ilkyun Lee, Min Hyuk Lee, Sungmin Park
      The Breast.2022; 63: 46.     CrossRef
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      Journal of Bone and Mineral Metabolism.2022; 40(4): 602.     CrossRef
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      Archives of Orthopaedic and Trauma Surgery.2022; 143(5): 2307.     CrossRef
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      PLOS ONE.2022; 17(4): e0266262.     CrossRef
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      Cancer Research and Treatment.2022; 54(2): 572.     CrossRef
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      International Journal of Environmental Research and Public Health.2022; 19(9): 4949.     CrossRef
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      Juhee Lee, So-Young Kwak, Dahyun Park, Ga-Eun Kim, Clara Yongjoo Park, Min-Jeong Shin
      Nutrients.2022; 14(8): 1644.     CrossRef
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      British Journal of Cancer.2022; 127(3): 549.     CrossRef
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      Journal of the American Heart Association.2022;[Epub]     CrossRef
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      Journal of Personalized Medicine.2022; 12(5): 691.     CrossRef
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      Journal of Clinical Oncology.2022; 40(29): 3394.     CrossRef
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      Frontiers in Neurology.2022;[Epub]     CrossRef
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      Cancers.2022; 14(11): 2604.     CrossRef
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      Scientific Reports.2022;[Epub]     CrossRef
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      Scientific Reports.2022;[Epub]     CrossRef
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      Hepatology Communications.2022; 6(9): 2455.     CrossRef
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      Gastroenterology.2022; 163(3): 637.     CrossRef
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      BMC Medicine.2022;[Epub]     CrossRef
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      Journal of Obesity & Metabolic Syndrome.2022; 31(2): 169.     CrossRef
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      Gut and Liver.2022; 16(4): 555.     CrossRef
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      Yonsei Medical Journal.2022; 63(8): 774.     CrossRef
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      Scientific Reports.2022;[Epub]     CrossRef
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      Journal of Personalized Medicine.2022; 12(8): 1260.     CrossRef
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      Journal of Cardiothoracic Surgery.2022;[Epub]     CrossRef
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      Hepatology Research.2022; 52(12): 975.     CrossRef
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      Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
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      Scientific Reports.2022;[Epub]     CrossRef
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      Frontiers in Medicine.2022;[Epub]     CrossRef
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      Yonsei Medical Journal.2022; 63(11): 991.     CrossRef
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      Journal of the American Heart Association.2022;[Epub]     CrossRef
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      Respiratory Research.2022;[Epub]     CrossRef
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      Journal of Korean Medical Science.2022;[Epub]     CrossRef
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      Medicine.2022; 101(45): e31737.     CrossRef
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      Cancers.2022; 14(22): 5696.     CrossRef
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      Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
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      Diabetes Research and Clinical Practice.2022; 194: 110191.     CrossRef
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      Ji Youn Hong, Juhee Ahn, Sungho Won, Sung Min Kim, Young Ah Cho, Chang Yong Kim, Jae Young Sung, Da-Ae Yu, Yang Won Lee, Yong Beom Choe
      Scientific Reports.2022;[Epub]     CrossRef
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    • Risk of Cancer Following the Use of N-Nitrosodimethylamine (NDMA) Contaminated Ranitidine Products: A Nationwide Cohort Study in South Korea
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    • Association Between Changes in Hemoglobin Concentration and Cardiovascular Risks and All‐Cause Mortality Among Young Women
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      Background and Data Configuration Process of a Nationwide Population-Based Study Using the Korean National Health Insurance System
      Diabetes Metab J. 2014;38(5):395-403.   Published online October 17, 2014
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    Song SO, Jung CH, Song YD, Park CY, Kwon HS, Cha BS, Park JY, Lee KU, Ko KS, Lee BW. Background and Data Configuration Process of a Nationwide Population-Based Study Using the Korean National Health Insurance System. Diabetes Metab J. 2014;38(5):395-403.
    Received: Jul 13, 2014; Accepted: Aug 16, 2014
    DOI: https://doi.org/10.4093/dmj.2014.38.5.395.

    Diabetes Metab J : Diabetes & Metabolism Journal
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