The Experts below are selected from a list of 56436 Experts worldwide ranked by ideXlab platform
Byung Wan Lee - One of the best experts on this subject based on the ideXlab platform.
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trends in diabetes incidence in the last decade based on korean National Health Insurance claims data
Endocrinology and Metabolism, 2016Co-Authors: Sun Ok Song, Yongho Lee, Dongwook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung Wan LeeAbstract:Background Epidemiological data is useful to estimate the necessary manpower and resources used for disease control and prevention of prevalent chronic diseases. We aimed to evaluate the incidence of diabetes and identify its trends based on the claims data from the National Health Insurance Service database over the last decade.
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background and data configuration process of a nationwide population based study using the korean National Health Insurance system
Diabetes & Metabolism Journal, 2014Co-Authors: Sun Ok Song, Ki Up Lee, Young Duk Song, Chang Hee Jung, Cheolyoung Park, Hyuksang Kwon, Bong Soo Cha, Joong Yeol Park, Byung Wan LeeAbstract: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.
Tsungmei Cheng - One of the best experts on this subject based on the ideXlab platform.
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reflections on the 20th anniversary of taiwan s single payer National Health Insurance system
Health Affairs, 2015Co-Authors: Tsungmei ChengAbstract:On its twentieth anniversary, Taiwan’s National Health Insurance (NHI) stands out as a high-performing single-payer National Health Insurance system that provides universal Health coverage to Taiwan’s 23.4 million residents based on egalitarian ethical principles. The system has encountered myriad challenges over the years, including serious financial deficits. Taiwan’s government managed those crises through successive policy adjustments and reforms. Taiwan’s NHI continues to enjoy high public satisfaction and delivers affordable modern Health care to all Taiwanese without the waiting times in single-payer systems such as those in England and Canada. It faces challenges, including balancing the system’s budget, improving the quality of Health care, and achieving greater cost-effectiveness. However, Taiwan’s experience with the NHI shows that a single-payer approach can work and control Health care costs effectively. There are lessons for the United States in how to expand coverage rapidly, manage increme...
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taiwan s new National Health Insurance program genesis and experience so far
Health Affairs, 2003Co-Authors: Tsungmei ChengAbstract:In 1995, after a planning effort of about half a decade, the Republic of China (Taiwan) replaced a previous patchwork of separate social Health Insurance funds with one single-payer, National Health Insurance scheme that is administered by an agency of the central government’s Department of Health. Within a year this bold legislative act brought the Health care utilization rates of the 41 percent of Taiwan’s hitherto uninsured population up to par with those of the previously insured population. This paper describes the achievements of this policy initiative so far, along with the growing pains it has encountered, and seeks to extract lessons from the experience for Health policymakers in other countries.
Sun Ok Song - One of the best experts on this subject based on the ideXlab platform.
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trends in diabetes incidence in the last decade based on korean National Health Insurance claims data
Endocrinology and Metabolism, 2016Co-Authors: Sun Ok Song, Yongho Lee, Dongwook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung Wan LeeAbstract:Background Epidemiological data is useful to estimate the necessary manpower and resources used for disease control and prevention of prevalent chronic diseases. We aimed to evaluate the incidence of diabetes and identify its trends based on the claims data from the National Health Insurance Service database over the last decade.
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background and data configuration process of a nationwide population based study using the korean National Health Insurance system
Diabetes & Metabolism Journal, 2014Co-Authors: Sun Ok Song, Ki Up Lee, Young Duk Song, Chang Hee Jung, Cheolyoung Park, Hyuksang Kwon, Bong Soo Cha, Joong Yeol Park, Byung Wan LeeAbstract: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.
Ki Up Lee - One of the best experts on this subject based on the ideXlab platform.
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data analytic process of a nationwide population based study using National Health information database established by National Health Insurance service
Diabetes & Metabolism Journal, 2016Co-Authors: Yongho Lee, Kyungdo Han, Ki Up LeeAbstract:In 2014, the National Health Insurance Service (NHIS) signed a memorandum of understanding with the Korean Diabetes Association to provide limited open access to its databases for investigating the past and current status of diabetes and its management. NHIS databases include the entire Korean population; therefore, it can be used as a population-based nationwide study for various diseases, including diabetes and its complications. This report presents how we established the analytic system of nation-wide population-based studies using the NHIS database as follows: the selection of database study population and its distribution and operational definition of diabetes and patients of currently ongoing collaboration projects.
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background and data configuration process of a nationwide population based study using the korean National Health Insurance system
Diabetes & Metabolism Journal, 2014Co-Authors: Sun Ok Song, Ki Up Lee, Young Duk Song, Chang Hee Jung, Cheolyoung Park, Hyuksang Kwon, Bong Soo Cha, Joong Yeol Park, Byung Wan LeeAbstract: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.
Ming Liang Lai - One of the best experts on this subject based on the ideXlab platform.
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validating the diagnosis of acute ischemic stroke in a National Health Insurance claims database
Journal of the Formosan Medical Association, 2015Co-Authors: Cheng Yang Hsieh, Chih Hung Chen, Ming Liang LaiAbstract:Background/purpose The National Health Insurance Research Database, which uses claims data from hospitals contracted with the National Health Insurance (NHI) program in Taiwan, has been widely used for stroke research. The diagnostic accuracy of the NHI claims data with regard to acute ischemic stroke (AIS) has rarely been validated. The aim of this study was to validate the diagnosis of AIS in NHI claims data using the Taiwan Stroke Registry (TSR) as a reference. Methods We retrieved patients' data with a discharge diagnosis of AIS [five-digit InterNational Classification of Diseases Code, 9 th version (ICD-9 code): 433 xx or 434 xx ] in a single medical center from August 2006 to December 2008. We then linked these patients to the TSR to validate their AIS diagnosis in the claims data. The positive predictive value (PPV) and sensitivity were determined. Results We reviewed the claims data of 1736 consecutive AIS patients, of whom 1299 (74.8%) were linked successfully to the stroke registry database. After reviewing the medical records and imaging results of other patients not linked to the registry database ( n = 437), 235 patients were found to have had an AIS. The PPV was 88.4% [95% confidence interval (CI): 86.8–89.8%] and sensitivity was 97.3% (95% CI: 96.4–98.1%). Forty-four (21.8%) of the false-positive cases ( n = 202) were coded as 433 x 0 or 434 x 0. Conclusion The PPV of a diagnosis of AIS in the NHI claims data was high. Using five-digit ICD-9 codes to identify AIS cases will markedly decrease the false-positive rate compared with using the commonly used three-digit method.
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validation of the National Health Insurance research database with ischemic stroke cases in taiwan
Pharmacoepidemiology and Drug Safety, 2011Co-Authors: Chinglan Cheng, Swu Jane Lin, Chenghan Lee, Yeahuei Yang Kao, Ming Liang LaiAbstract:Objective The National Health Insurance Research Database (NHIRD) is commonly used for pharmacoepidemiological research in Taiwan. This study evaluated the validity of the database for patients with a principal diagnosis of ischemic stroke. Study design and methods This cross-sectional study compares records in the NHIRD with those in one medical center. Patients hospitalized for ischemic stroke in 1999 were identified from both databases. The discharge notes, laboratory data, and medication orders during admission and the first discharge visit were reviewed to validate ischemic stroke diagnoses and aspirin prescribing in the NHIRD. Agreement between the two databases in comorbidities of ischemic stroke diagnosis was evaluated using ICD-9 codes. Results Three hundred and seventy two cases were identified from the NHIRD; among them, 364 cases (97.85%) were confirmed as ischemic stroke by radiology examination and clinical presentation. Among these confirmed cases, 344 (94.51%) were assigned ‘ischemic stroke’ as the principal diagnosis in the NHIRD. The overall agreement of comorbid diagnoses between the databases was 48.39%. The PPV for selected conditions also varied widely, from 0.50 for fracture to 1.00 for colon cancer. The accuracy of recorded aspirin prescriptions was higher in first post-discharge visits (PPV = 0.94) than during hospitalization (PPV = 0.88). Conclusion The accuracy of the NHIRD in recording ischemic stroke diagnoses and aspirin prescriptions was high, and the NHIRD appears to be a valid resource for population research in ischemic stroke. Copyright © 2010 John Wiley & Sons, Ltd.
