• Title/Summary/Keyword: National Health Insurance Claims Database

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Development and validation of novel simple prognostic model for predicting mortality in Korean intensive care units using national insurance claims data

  • Ah Young Leem;Soyul Han;Kyung Soo Chung;Su Hwan Lee;Moo Suk Park;Bora Lee;Young Sam Kim
    • The Korean journal of internal medicine
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    • v.39 no.4
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    • pp.625-639
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    • 2024
  • Background/Aims: Intensive care unit (ICU) quality is largely determined by the mortality rate. Therefore, we aimed to develop and validate a novel prognostic model for predicting mortality in Korean ICUs, using national insurance claims data. Methods: Data were obtained from the health insurance claims database maintained by the Health Insurance Review and Assessment Service of South Korea. From patients who underwent the third ICU adequacy evaluation, 42,489 cases were enrolled and randomly divided into the derivation and validation cohorts. Using the models derived from the derivation cohort, we analyzed whether they accurately predicted death in the validation cohort. The models were verified using data from one general and two tertiary hospitals. Results: Two severity correction models were created from the derivation cohort data, by applying variables selected through statistical analysis, through clinical consensus, and from performing multiple logistic regression analysis. Model 1 included six categorical variables (age, sex, Charlson comorbidity index, ventilator use, hemodialysis or continuous renal replacement therapy, and vasopressor use). Model 2 additionally included presence/absence of ICU specialists and nursing grades. In external validation, the performance of models 1 and 2 for predicting in-hospital and ICU mortality was not inferior to that of pre-existing scoring systems. Conclusions: The novel and simple models could predict in-hospital and ICU mortality and were not inferior compared to the pre-existing scoring systems.

Study on the distribution in major disease category and frequency of clinical usage of national health insurance herbal prescription based on analysis on KCD8 disease code of indications (적응증의 KCD8 상병코드 분석 결과를 기반으로 한 보험한약제제의 질병 대분류 분포 분석과 사용 빈도 연구)

  • Dong Woo Lim;Jung Yun Ahn;Ga Ram Yu;Jai Eun Kim;Won Hwan Park
    • The Journal of Korean Medicine
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    • v.44 no.1
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    • pp.1-15
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    • 2023
  • Objectives: National health insurance herbal prescription of Korean medicine has been serving important role in public healthcare in spite of continuous demand on revision of system. However, the categories of insurance herbal prescriptions are not equally distributed throughout the KCD-based major disease categories. We analyzed statistical database of claimed national health insurance classified as major disease categories by years. We classified all 56 herbal prescriptions as per their total medical indications into 22 major disease categories to analyze their distribution. Significant increase of M and S-T code claims were found, whereas decrease of U code claims by years. We figured out that the 56 prescriptions were unequally distributed along with enrichment of certain codes such as K and J. Meanwhile, the insurance claim of each prescription was positively correlated with number of code types of their indications. As a result, we believe that the reform of national health insurance herbal prescription list is necessary to promote use of it in clinic.

Building Linked Big Data for Stroke in Korea: Linkage of Stroke Registry and National Health Insurance Claims Data

  • Kim, Tae Jung;Lee, Ji Sung;Kim, Ji-Woo;Oh, Mi Sun;Mo, Heejung;Lee, Chan-Hyuk;Jeong, Han-Young;Jung, Keun-Hwa;Lim, Jae-Sung;Ko, Sang-Bae;Yu, Kyung-Ho;Lee, Byung-Chul;Yoon, Byung-Woo
    • Journal of Korean Medical Science
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    • v.33 no.53
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    • pp.343.1-343.8
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    • 2018
  • Background: Linkage of public healthcare data is useful in stroke research because patients may visit different sectors of the health system before, during, and after stroke. Therefore, we aimed to establish high-quality big data on stroke in Korea by linking acute stroke registry and national health claim databases. Methods: Acute stroke patients (n = 65,311) with claim data suitable for linkage were included in the Clinical Research Center for Stroke (CRCS) registry during 2006-2014. We linked the CRCS registry with national health claim databases in the Health Insurance Review and Assessment Service (HIRA). Linkage was performed using 6 common variables: birth date, gender, provider identification, receiving year and number, and statement serial number in the benefit claim statement. For matched records, linkage accuracy was evaluated using differences between hospital visiting date in the CRCS registry and the commencement date for health insurance care in HIRA. Results: Of 65,311 CRCS cases, 64,634 were matched to HIRA cases (match rate, 99.0%). The proportion of true matches was 94.4% (n = 61,017) in the matched data. Among true matches (mean age 66.4 years; men 58.4%), the median National Institutes of Health Stroke Scale score was 3 (interquartile range 1-7). When comparing baseline characteristics between true matches and false matches, no substantial difference was observed for any variable. Conclusion: We could establish big data on stroke by linking CRCS registry and HIRA records, using claims data without personal identifiers. We plan to conduct national stroke research and improve stroke care using the linked big database.

Use of Information Component (IC) and Relative Risk (RR) for Signal Detection of Drug Interactions of Clopidogrel : Data-mining Study Using Health Insurance Review & Assessment Service (HIRA) Claims Database (정보 성분과 상대위험도를 이용한 clopidogrel의 약물상호작용 시그널 검색 : 건강보험데이터베이스를 대상으로 한 데이터마이닝 연구)

  • Kim, Jin-Hyung;Choi, Chung-Am;Oh, Jung-Mi;Son, Sung-Ho;Shin, Wan-Gyoon
    • Korean Journal of Clinical Pharmacy
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    • v.21 no.2
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    • pp.90-99
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    • 2011
  • Health Insurance Review & Assessment Service (HIRA) claims database has a high potential to detect signals of new drug interactions. The aim of this study was to evaluate the usefulness of information component (IC) and relative risk (RR) as a tool for signal detection, and to analyze the possible drug interactions caused by clopidogrel using HIRA claims database. This study was performed in elderly patients over 65 years of age who administered clopidogrel from January 2005 to June 2006 in South Korea. Serious Adverse Events (SAEs) as drug interactions of clopidogrel were defined as any ambulatory hospitalization for ischemic diseases within comcomitant medication period of clopidogrel. Information Component (IC) and Relative Risk (RR) were calculated to compare the proportion of drug-SAE pairs in order to select drug specific SAEs. IC and RR signals of clopidogrel drug interaction were screened when IC's 95% confidence interval was greater than 0 and RR's 95% confidence interval was greater than 1 respectively. All detected signals were compared to references such as $Micromedex^{(R)}$ and 2010 Drug Interaction $Facts^{TM}$. Sensitivity, specificity, positive predicted value and negative predicted value were used to evaluate usefulness of this method. Among 13,252,930 cases of elderly patients who co-administered clopidogrel and other drugs, 47,485 cases were detected as SAE. Of these, one-hundred nine cases were detected by the IC-based data-mining approach and ninety one cases were detected by the RR-based data-mining approach. Total One-hundred sixty three unrecognized signals were detected by IC or RR. Twelve signals from IC-based data-mining (57.1%) were corresponded with drug interactions from references and eight signals from RR-based data-mining (38.1%) were corresponded with drug interactions from references. These signals include proton pump inhibitors, calcium channel blockers and HMG CoA reductase Inhibitors, which were known to affect CYP450 metabolism. Further studies using HIRA claims database are necessary to develop appropriate data-mining measure.

A Comparative Study on Comorbidity Measurements with Lookback Period using Health Insurance Database: Focused on Patients Who Underwent Percutaneous Coronary Intervention (건강보험 청구자료에서 동반질환 보정방법과 관찰기관 비교 연구: 경피적 관상동맥 중재술을 받은 환자를 대상으로)

  • Kim, Kyoung-Hoon;Ahn, Lee-Su
    • Journal of Preventive Medicine and Public Health
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    • v.42 no.4
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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.

Analysis of Prescriptions for Oral Solid Dosage Forms Split at Primary Health Care Using National Health Insurance Database (의원의 건강보험청구자료를 이용한 고형경구제 분할 처방 분석)

  • Park, Se-Jung;Lee, Suk-Hyang;Lee, Eui-Kyung
    • Journal of Pharmaceutical Investigation
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    • v.37 no.2
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    • pp.119-126
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    • 2007
  • Tablet splitting is used in pharmacy practice to adjust the dose to be administered. However, it also causes several problems such as undesirable effect for sustained release or enteric-coated dosage form, inaccuracy of dose, and pharmacist's safety by splitting hazardous drugs. This study investigated the current status of oral dosage form splitting for patients older than 19 years by analyzing Korea National Health Insurance Claims Database. Out of oral solid drugs prescribed (N=1,486,584) 9.8% of them included tablets (or capsules) split. There were some splitting cases even in sustained release (4.9%), enteric-coated forms (1.3%) and hazardous drugs (2.7%) that were selected by NIOSH (The National Institute for Occupational Safety and Health). The most frequently split drugs were antihistamines, neuropsychotics and steroids. In case of digoxin and warfarin, unit doses in a domestic market were not diverse compared to foreign markets. Guidelines for splitting oral solid dosage forms, approval of diverse doses and conducting dose-response studies for the commonly splitting ingredients on Korean people are needed for the saff and effective use of oral solid drugs.

Medical Care Utilization of Tuberculosis Patients in Private Sector (민간의료기관을 이용하는 결핵환자의 의료이용 분석)

  • Kang, Gil-Won;Yoon, Seok-Jun;Kim, Chang-Yup;Shin, Young-Soo
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.4 s.63
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    • pp.814-827
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    • 1998
  • In this study we analyzed the insurance claims data to investigate the medical care utilization pattern of tuberculosis patients in private sector. We selected the claims of principal or secondary diagnosis with tuberculosis from claims database of National federation of Medical Insurance, from December 1995 to November 1996. Both spell-based analysis and person-based analysis were carried out. In spell-based analysis, type and location of treatment facilities, distribution of diagnoses, number of outpatient/inpatient treatments were analyzed. Additionally in person-based analysis, number of tuberculosis patients, demographic characteristics, number of treatments per person, frequency and pattern of change in source of care were analyzed. The results were as follows 1. The number of treatments with tuberculosis was 863,641 from 1 December 1995 to 30 November 1996. The number of patients was 313.964. 2. Most of tuberculosis patients in private sector were treated in general hospital (45.8%) and clinics(42.2%) 3. About 77.7% of tuberculosis patients who were treated more than two times did not change the source of care. 18,9% of tuberculosis patients changed source of care only once. Even when we limited tuberculosis patient to those who were treated more than five times and whose treatment period were longer than six months, 94.7% of patients did not change source of care at all, or changed treatment facility only once. 4. The probability of change in source of rare was higher in pulmonary tuberculosis, in twenties, and in rural area respectively than other tuberculosis. In conclusion, healer shopping of tuberculosis patients was not serious as expected. However special attention is needed to pulmonary tuberculosis in twenties and rural area.

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Analysis of Medical Care Utilization of Allergic Rhinitis Patients in Western Medicine and Korean Medicine between 2010 and 2016 : A Study of the Health Insurance Review and Assessment Service National Patients Sample Database (알레르기 비염 환자의 의과·한의과 의료 이용 현황 분석 : 2010-2016년 청구 데이터 분석)

  • Ryu, Ji-In;Kim, Jeong-Hun;Kang, Chae-Yeong;Hwang, Jin-Seub;Lee, Dong-Hyo
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.34 no.2
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    • pp.21-37
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    • 2021
  • Objectives : Allergic rhinitis(AR) is a common chronic disease that accounts for 10-40% of the world's population. This study aims to analyze the status of claims, prevalence, and medical utilization of allergic rhinitis patients using representative patients sample data. Methods : This study used the National Patients Sample(HIRA-NPS) of the Health Insurance Review and Assessment Service for 7 years(2010-2016). And we defined AR patients as all statements including J30 or a subcategory of J30 as the main disease, using the Korean Standard Classification of Diseases(KCD-7). The trend of AR patients by year was divided into Western medicine(WM) and Korean medicine(KM), and analyzed by subgroup analysis such as inpatient/outpatient, gender, age, insurance type, and care institution. Results : Patients with AR were mainly claimed for first sub diagnosis in WM and major diagnosis in KM, and the number of claims increased about 1.3 times and 1.4 times compared to 2010 in WM and KM, respectively. In addition, the total annual medical expenses in 2016 increased 1.3 times and 1.7 times compared to 2010, respectively. Conclusions : Both WM and KM are showing a steadily increasing trend in medical use due to allergic rhinitis. Further research is needed by considering genetic and environmental factors and individual characteristics, and linking with additional data.

Incidence of Female Breast Cancer in a Defined Area in Korea (한국인 여성 유방암 발생률 추정에 관한 역학적 연구 -충북지역을 대상으로-)

  • Yoo, Keun-Young;Park, Sue-Kyung;Sung, Joo-Hun;Noh, Dong-Young;Choe, Kuk-Jin
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.4 s.63
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    • pp.592-603
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    • 1998
  • This study was conducted to estimate incidence rate of female breast cancer in a defined area of Chungchongbuk-do in Korea. The presumptive breast cancer cases were selected from two different sources, i.e., medical utilization database of the National Health Insurance Corporation and the database from the National Cancer Registry. Medical students visited each hospital where the presumptive cases had been treated as a breast cancer patient, and made a dictation of medical record of each patient based on the claims stored in the Insurance Corporation from January to December 1995. The diagnoses in the claims included one of the following diagnostic codes; ICD-9 174-175(malignant neoplasms of the breast), 233(carcinoma in situ of the breast and genito-urinary system)or ICD-10 C50(malignant neoplasms of the breast), D05(carcinoma in situ of the breast and genito-urinary system). Each case has been confirmed as having a breast cancer by a breast surgeon through a medical record review. Age-standardized incidence rate of female breast cancer to the Korean population was estimated to be 10.5(95%confidence interval : 8.1-12.9)per 100,000 persons in 1995. Age-standardized rate to the world population was 9.8 per 100,000 persons, and the truncated rate for ages 35-64 was 27.2 per 100,000 persons. Validity of these estimates is discussing in comparison with previous methods of incidence estimation in Korea.

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Impact of the Outpatient Prescription Incentive Program on Reduction of Pharmaceutical Costs of Clinics in South Korea

  • Kwon, Seong Hee;Han, Kyu-Tae;Park, Sohee;Moon, Ki Tae;Park, Eun-Cheol
    • Health Policy and Management
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    • v.27 no.3
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    • pp.247-255
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    • 2017
  • Background: South Korea has experienced problems with excessive pharmaceutical expenditures. In 2010, the South Korean government introduced an outpatient prescription incentive program to effectively manage pharmaceutical expenditures. Therefore, we examined the relationship between the outpatient prescription incentive program and pharmaceutical expenditures. Methods: We used data from the Korean National Health Insurance claims database, which included medical claims filed for 22,732 clinics from 2011-2014 to evaluate associated pharmaceutical expenditures. We performed multiple regression analysis and Poisson regression analysis using generalized estimating equation models to examine the associations between outpatient prescription incentives and the outcome variables. Results: The data used in this study consisted of 123,392 cases from 22,372 clinics (average 5.4 periods follow-up). Clinics that had received outpatient prescription incentives in the last period had better cost saving and Outpatient Prescribing Costliness Index (OPCI) (received: proportion of cost saving, ${\beta}=6.8179$; p-value < 0.0001; OPCI, ${\beta}=-0.0227$; p-value < 0.0001; reference = non-received). Moreover, these clinics had higher risk in the provision of outpatient prescription incentive (relative risk, 2.772; 95% confidence interval, 2.720 to 2.824). The associations were higher in clinics that had separate prescribing and dispensing programs, or had professional staff. Conclusion: The introduction of an outpatient prescription incentive program for clinics effectively managed problems with rapid increases of pharmaceutical expenditures in South Korea. However, the pharmaceutical expenditures still increased in spite of the positive impact of the outpatient prescription incentive program. Therefore, healthcare professionals and health policy makers should develop more effective alternatives (i.e., for clinics without separate prescribing and dispensing programs) based on our results.