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

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A Study on the Policy Implication on the Management of Narcotics Distribution for Medical Use (의료용 마약류 유통 관리에 대한 고찰과 정책적 함의: 유통자료 및 청구자료 분석을 중심으로)

  • Yu, Su-Yeon;Cho, Hyunmin;Kang, Hyeun Ah;Kim, Sukyeong
    • Korean Journal of Clinical Pharmacy
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    • v.25 no.4
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    • pp.280-285
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    • 2015
  • Objectives: To suggest direction for improving policies by understanding current management of narcotics or psychotropic drugs and analyzing their distributions and usage. Method: We conducted a comparison analysis between health insurance claims and the amount supplied to health care institutions for narcotics or psychotropic drugs through health insurance claims data and drug distribution supply data from 2010 to 2012 collected from Korea Pharmaceutical Information Service Center (KPIS). Furthermore, we carried out literature investigation and online search to comprehend the current management of narcotics drugs in Korea. Results: The amount supplied to medical institutions for all drugs in 2012 was 19.4 trillion won, which increased from 19.5 trillion in 2011 by 0.54%. For narcotic drugs, the amount supplied was 318.4 billion won in 2011 and increased to 335.1 billion won by 5.3% in 2012, which exceeded the rate of increase for the amount supplied for all drugs. The proportion of amount claimed in the total amount supplied to medical institutions for all drugs was 60.5% in 2012, whereas the proportion of amount claimed for narcotic drugs was 55.6%, which showed that narcotic drugs were used relatively less within health insurance. Furthermore, management of the current domestic distribution supply data focuses on manufacturing and medical institution supply stages. Conclusion: Hereafter, the management of narcotics or psychotropic drugs needs to be improved by reinforcing active monitoring in optimal prescription and usage in patients by collecting and analyzing information on drug usage of patients.

Utilization of health insurance data in an environmental epidemiology

  • Ha, Jongsik;Cho, Seongkyung;Shin, Yongseung
    • Environmental Analysis Health and Toxicology
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    • v.30
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    • pp.12.1-12.7
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    • 2015
  • Objectives In South Korea, health insurance data are used as material for the health insurance of national whole subject. In general, health insurance data could be useful for estimating prevalence or incidence rate that is representative of the actual value in a population. The purpose of this study was to apply the concept of episode of care (EoC) in the utilization of health insurance data in the field of environmental epidemiology and to propose an improved methodology through an uncertainty assessment of disease course and outcome. Methods In this study, we introduced the concept of EoC as a methodology to utilize health insurance data in the field of environmental epidemiology. The characterization analysis of the course and outcome of applying the EoC concept to health insurance data was performed through an uncertainty assessment. Results The EoC concept in this study was applied to heat stroke (International Classification of Disease, 10th revision, code T67). In the comparison of results between before and after applying the EoC concept, we observed a reduction in the deviation of daily claims after applying the EoC concept. After that, we categorized context, model, and input uncertainty and characterized these uncertainties in three dimensions by using uncertainty typology. Conclusions This study is the first to show the process of constructing episode data for environmental epidemiological studies by using health insurance data. Our results will help in obtaining representative results for the processing of health insurance data in environmental epidemiological research. Furthermore, these results could be used in the processing of health insurance data in the future.

An Overview of the Risk Sharing Management in Korean National Health Insurance, Focused on the Effect of the Patient Access and Insurance Finance (우리나라 건강보험의 위험분담제도가 재정 및 환자접근성에 미친 영향)

  • Lee, Jong Hyuk;Bang, Joon Seok
    • Korean Journal of Clinical Pharmacy
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    • v.28 no.2
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    • pp.124-130
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    • 2018
  • Objective: This study examined the Risk Sharing Agreement (RSA) on pharmaceutical pricing system in Korean national health insurance. Through RSA, the insurer was able to maintain the principles in the price listing process while managing the budget effectively and improving patient access to new drugs. Despite these positive effects, there are still issues raised by some stakeholders, such as lack of transparency in the listing process and doubts about its effectiveness. Therefore, we investigated the impacts of RSA on national health insurance financing and patient access to analyze the effects of RSA. Methods: The impact of RSA was investigated by analyzing the health insurance claims data for 2014~2016. The degree of improvement in patient access was determined by the decreased amount of patients' payment. Results: Results showed that the financial impact of RSA was not significant and patients' access to the new drug greatly improved. Conclusion: These results show that RSA is a good system for improving patient access to new drugs without additional expense on insurance.

Prognostic Impact of Charlson Comorbidity Index Obtained from Medical Records and Claims Data on 1-year Mortality and Length of Stay in Gastric Cancer Patients (위암환자에서 의무기록과 행정자료를 활용한 Charlson Comorbidity Index의 1년 이내 사망 및 재원일수 예측력 연구)

  • Kyung, Min-Ho;Yoon, Seok-Jun;Ahn, Hyeong-Sik;Hwang, Se-Min;Seo, Hyun-Ju;Kim, Kyoung-Hoon;Park, Hyeung-Keun
    • Journal of Preventive Medicine and Public Health
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    • v.42 no.2
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    • pp.117-122
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    • 2009
  • Objectives : We tried to evaluate the agreement of the Charlson comorbidity index values(CCI) obtained from different sources(medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the prognostic value of these data for predicting 1-year mortality and length of the hospital stay(length of stay). Methods : Medical records of 284 gastric cancer patients were reviewed, and their National Health Insurance claims data and death certificates were also investigated. To evaluate agreement, the kappa coefficient was tested. Multiple logistic regression analysis and multiple linear regression analysis were performed to evaluate and compare the prognostic power for predicting 1 year mortality and length of stay. Results : The CCI values for each comorbid condition obtained from 2 different data sources appeared to poorly agree(kappa: 0.00-0.59). It was appeared that the CCI values based on both sources were not valid prognostic indicators of 1-year mortality. Only medical record-based CCI was a valid prognostic indicator of length of stay, even after adjustment of covariables($\beta$ = 0.112, 95% CI = [0.017-1.267]). Conclusions : There was a discrepancy between the data sources with regard to the value of CCI both for the prognostic power and its direction. Therefore, assuming that medical records are the gold standard for the source for CCI measurement, claims data is not an appropriate source for determining the CCI, at least for gastric cancer.

An Evaluative Analysis of the Referral System for Insurance Patients (보험진료체계 개편의 효과에 대한 연구)

  • Han, Dal-Sun;Kim, Byungy-Ik;Lee, Young-Jo;Bae, Sang-Soo;Kwon, Soon-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.24 no.4 s.36
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    • pp.485-495
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    • 1991
  • This study examined the effects of referral requirements for insurance patients which have been enforced since July 1, 1989 when medical insurance coverage was extended to the whole population except beneficiaries of medical assistance program. The requirements are mainly aimed at discouraging the use of tertiary care hospitals by imposing restrictions on the patient's choice of a medical service facility. The expectation is that such change in the pattern of medical care utilization would produce several desirable effects including increased efficiency in patient care and balanced development of various types of medical service facilities. In this study, these effects were assessed by the change in the number of out-patient visits and bed-days per illness episode and the share of each type of facility in the volume of services and the amount of expenditures after the implementation of the new referral system. The data for analysis were obtained from the claims to the insurance for government and school employees. The sample was drawn from the claims for the patients treated during the first six months of 1989, prior to the enforcement of referral requirements, and those of the patients treated during the first six months of 1990, after the enforcement. The 1989 sample included 299,824 claims (3.6% of total) and the 1990 sample included 332,131 (3.7% of total). The data were processed to make the unit of analysis an illness episode instead of an insurance claim. The facilities and types of care utilized for a given illness episode are defined to make up the pathway of medical care utilization. This pathway was conceived of as a Markov Chain process for further analysis. The conclusion emerged from the analysis is that the enforcement of referral requirements resulted in less use of tertiary care hospitals, and thereby decreased the volume of services and the amount of insurance expenses per illness episode. However, there are a few points that have to be taken into account in relation to the conclusion. The new referral system is likely to increase the use of medical services not covered by insurance, so that its impact on national health expenditures would be different from that on insurance expenditures. The extension of insurance coverage must have inereased patient load for all types of medical service organizations, and this increase may be partly responsible for producing the effects attributed to the new referral system. For example, excessive patient load for tertiary care hospitals may lead to the transfer of their patients to other types of facilities. Another point is that the data for this study correspond to very early phase of the new system. But both patients and medical care providers would adapt themselves to the new system to avoid or overcome its disadvantages for them, so as that its effects could change over time. Therefore, it is still necessary to closely monitor the impact of the referral requirements.

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Does a Higher Coronary Artery Bypass Graft Surgery Volume Always have a Low In-hospital Mortality Rate in Korea? (관상동맥우회로술 환자의 위험도에 따른 수술량과 병원내 사망의 관련성)

  • Lee, Kwang-Soo;Lee, Sang-Il
    • Journal of Preventive Medicine and Public Health
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    • v.39 no.1
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    • pp.13-20
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    • 2006
  • Objectives: To propose a risk-adjustment model with using insurance claims data and to analyze whether or not the outcomes of non-emergent and isolated coronary artery bypass graft surgery (CABG) differed between the low- and high-volume hospitals for the patients who are at different levels of surgical risk. Methods: This is a cross-sectional study that used the 2002 data of the national health insurance claims. The study data set included the patient level data as well as all the ICD-10 diagnosis and procedure codes that were recorded in the claims. The patient's biological, admission and comorbidity information were used in the risk-adjustment model. The risk factors were adjusted with the logistic regression model. The subjects were classified into five groups based on the predicted surgical risk: minimal (<0.5%), low (0.5% to 2%), moderate (2% to 5%), high (5% to 20%), and severe (=20%). The differences between the low- and high-volume hospitals were assessed in each of the five risk groups. Results: The final risk-adjustment model consisted of ten risk factors and these factors were found to have statistically significant effects on patient mortality. The C-statistic (0.83) and Hosmer-Lemeshow test ($x^2=6.92$, p=0.55) showed that the model's performance was good. A total of 30 low-volume hospitals (971 patients) and 4 high-volume hospitals (1,087 patients) were identified. Significant differences for the in-hospital mortality were found between the low- and high-volume hospitals for the high (21.6% vs. 7.2%, p=0.00) and severe (44.4% vs. 11.8%, p=0.00) risk patient groups. Conclusions: Good model performance showed that insurance claims data can be used for comparing hospital mortality after adjusting for the patients' risk. Negative correlation was existed between surgery volume and in-hospital mortality. However, only patients in high and severe risk groups had such a relationship.

A Cost Benefit Analysis of Visiting Health Care for People 65 Years and Over Using Total Medical Expense from Health Insurance Claims Data (국민건강보험공단 진료비 자료를 활용한 65세 이상 방문건강관리사업 대상자의 비용-편익분석)

  • Kim, Jinhyun;Ko, Young;Kwon, Hyun-Jeong;Yim, Eunshil
    • Journal of muscle and joint health
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    • v.27 no.3
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    • pp.238-246
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    • 2020
  • Purpose: This study aimed to investigate the effect of home visiting care service and to evaluate the effect from the cost-benefit among older people. Methods: The target participants were enrolled in 2007 and they were classified into 1 year, 2 years, 3 years, and 4 years according to their service provision period. We analyzed health insurance claims data and entitlement data from the National Health Insurance Service databases between 2006 and 2010. This study examined the participants' social-economic and health status factors related to total medical expense. Cost-benefit analysis was done using the net benefit and benefit/cost ratio. Results: Based on the use of home visiting service, the effect was reduced by 223,914 won. The cost for 952,109 people aged 65 or older was 39,891,462,882 won and the benefit was 213,190,534,626 won. The net benefit was 173,299,071,744 won and the benefit/cost ratio was 5.34 times, which was very economical. Conclusion: Home visiting health care should continue to expand as a means of economically effective health care for people aged 65 and older and to ensure health equity for vulnerable groups.

Construction of Medical Episode Data using National Health Insurance Service Data (국민건강보험청구 자료를 이용한 진료에피소드 자료 구축)

  • Pak, Hae-Yong;Pak, Yun-Suk
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.195-200
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    • 2019
  • The purpose of this study is to analyze the characteristics of National Health Insurance claim data and to construct a pilot medical episode data considering it. In this study, the trends of respiratory disease (ICD10: J00-J99) cardiovascular disease (ICD10: I00-I99) from the day of onset of treatment to re-admission after admission were confirmed in Seoul, and the largest decrease was observed when the no-treatment period was 0 day. The data reduction rate when the no-treatment period is 0 day is judged to be due to the monthly separation claim of the health insurance claim data. Also, the result that there is a tendency of monthly separation request according to the type of medical treatment. Through this study, we constructed epidemic data for the pilot medical treatment considering the characteristics of the claim data of health insurance, and based on this, it can be used as a data processing method for calculating basic epidemiological information.

The Effect of Public Report on Antibiotics Prescribing Rate (급성상기도감염 항생제 처방률 공개 효과 분석)

  • Kim, Su-Kyeong;Kim, Hee-Eun;Back, Mi-Sook;Lee, Suk-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.20 no.3
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    • pp.242-247
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    • 2010
  • Controlling inappropriate antibiotics prescribing for acute upper respiratory infections(URI) is a very important for prudent use of antibiotics and resistance control. Health Insurance Review and Assessment Service (HIRA) introduced Prescribing Evaluation Program and publicly reported antibiotics prescribing rate for URI of each health institution. We performed segmented regression analysis of interrupted time series to estimate the effect of public report on antibiotics prescribing rate using national health insurance claims data. The results indicate that just before the public report period, clinics' monthly antibiotics prescribing rate for URI was 66.7%. Right after the public report, the estimated antibiotics prescribing rate dropped abruptly by 12.3%p. There was no significant changes in month-to-month trend in the prescribing rate before and after the intervention.

Medical costs for patients with Facial paralysis : Based on Health Big Data (보건의료 빅데이터를 이용한 얼굴마비환자의 의료비용에 관한 연구)

  • Hong, Min-Jung;Umh, Tae-Woong;Kim, Sina;Kim, Nam-Kwen
    • The Journal of Korean Medicine
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    • v.36 no.3
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    • pp.98-110
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    • 2015
  • Objectives: The purpose of this study was to analyze the medical cost of facial paralysis in payer perspective and to estimate the practice pattern of patient using 2011 Health Insurance Review & Assessment Service-National Patients Sample(HIRA-NPS). Methods: Basic statistical system was used for descriptive analysis of NPS dataset. A table for general information (table20) was extracted by disease code, and social demographic characteristics, distribution of the use among inpatients and outpatients, utilization of each kind of medical care institutions, medical cost were analyzed. Subgroup analysis was conducted for assuming the practice pattern of korean medicine and western medicine. Results: A total of 8,219 people and 64,345 claims data were identified as having facial paralysis. Proportion of outpatient was 95.23%, inpatient 0.84% and patient using both services 3.93%. Mean patient charges was 44,229 won per outpatient, 178,886 won per inpatient and 523,542 won per patient using both services. Utilization of korean medical care institutions was 68.81%(claims), 40.46%(patients), utilization of western medical care institutions was 31.19%(claims), 59.54%(patients). The amount charged by korean medical care institutions was 52.61% and western medical care institutions was 47.39%. Cost per claim was higher than those of the korean treatment and cost per patient of western treatment was lower than those of the korean treatment. Conclusions: The research assessed the medical cost and practice pattern associated with facial paralysis. These findings could be used in health care policy and subsequent studies.