Since the pilot program for a DRG-based prospective payment system was introduced in 1997, the performance of KDRGs has been one of hotly debated issues. The objectives of this study are to refine the classification algorithm of the KDRGs and to assess the improvement achieved by the refinement. The U.S. Medicare DRGs version 17.0 and the Australian Refined DRGs version 4.1 were reviewed to identify areas of possible impro-vement. Refined changes in the classification and result of date analyses were submitted to a panel of 48 physicians for their reviews and suggestions. The refinement was evaluated by the variance reduction in resource utilization achieved by the KDRG The database of 2,182,168 claims submitted to the Health Insurance Review Agency during 2002 was used for evaluation. As the result of the refinement, three new MDCs were introduced and the number of ADEGs increased from 332 to 674. Various age splits and two to four levels of severity classification for secondary diagnoses were introduced as well. A total of 1,817 groups were defined in the refined KDRGs. The variance reduction for charges of all patients increased from 48.2% to 53.6% by the refinement, and from 65.6% to 73.1% for non-outlier patients. The r-square for length of stays of all patients was increased from 28.3% to 32.6%, and from 40.4% to 44.9% for non-outlier patients. These results indicated a significant improvement in the classification accuracy of the KDRG system.
The purpose of this study was to estimate the magnitude of patient's actual cost-sharing for hospital services in the National Health Insurance which has been estimated with only a few hospitals or limited number of patients. Also we aimed at analysis of factors influencing the magnitude. Sources of analyzed data were two databases. 1997 medical benefits record of the National Federation of Medical Insurance and 1997 Statistics for Hospital Management from the Korea Institute of Health Services Management(KIHM). We merged two databases and related records for 224 hospitals. based on the identification details of each hospital. The average percent of patients' cost-sharing was 51.7% of total hospital revenues from the insurance. with 40.3% of revenue in inpatient and 67.4% in outpatient. respectively. The contributing hospital factors to the magnitude of cost-sharing were size of hospitals. teaching status. location. number of employed physicians. etc. Larger and university hospital. urban location. and with more physicians were positively correlated with higher level of cost-sharing. Additionally, the higher the expenses of inpatient's treatment was, the higher the size of patient's cost-sharing was. These findings suggest that present level of patients' cost-sharing is quitely high and it is urgent to reduce the patient's cost-sharing to the reasonable level. It would be necessary to extend the coverage of insurance benefits and to develop policies focusing on larger hospitals and inpatient services.
Objective : To explore the status of cancer research in the Republic of Korea. Methods : Thirty-eight medical journals, published in Korea between 1990 and 1996, were reviewed for abstracts relating to cancer research. Of the 5,899 eligible abstracts related to cancer, 4,732 were collected and evaluated. Results : Including first author and first two co-authors, a total of 7,427 authors were identified. Those who published an average of one or more article per one year were defined as cancer researchers for this study. This group, however, accounted for a small proportion of the total (3.1%). Analysis of the selected abstracts showed that the study goals in more than half focused on pathophysiologic mechanisms. Studies that were designed to use causal relationships such as cohort studies and randomized controlled trials were rare. A greater number of analytic and experimental studies were found in abstracts published by the cancer researcher group. More advanced study designs that explored causal relationships and analytic procedures were found in abstracts published later than those abstracts published from 1990 to 1992. Conclusion : Our findings show that researchers who published more articles adopted more advanced study designs. This study provides primary data that can be used to compare the status of cancer research in future studies.
Seven diagnosis-related groups (DRGs) prospective payment system is going to expand to all hospitals including university hospitals this year. However there are few studies on the change of practice pattern under prospective payment system in the university hospital setting. So This study was intended to predict the practice pattern change after the introduction of 7 DRGs prospective payment system in a university hospital setting. To predict the change of practice pattern, this study used simulation technique. Five hundred and nineteen patients classified as 5 DRGs in a university hospital were selected for simulation. The change of practice pattern were predicted based on clinicians' opinion. We also predicted payment change by service items. Major findings of this study are as follows. First, the total medical payment was reduced by 14.4%. The drug payment change (8.8%) took most of total payment reduction. The followings are the change of treatment material cost (3.2%), the change of laboratory tests cost (1.8%), the change of room charge (0.5%), and other payment change (0.1%), respectively. Second, most of the reduction in total medical payment resulted from the decreased amount of medical services themselves. The transfer of medical services to outpatient setting took up only 4.9% of the total payment reduction. The change of unit price or composition took up 5.5% of the total payment reduction. In this study we found that it is possible to reduce the inpatient services through practice pattern change in university hospital setting. However, it needs to be careful to adjust DRG payment after the reduction of provided services, because most of reduction was not due to service transfer but to service volume reduction. It is desirable to utilize the saving from practice pattern change as incentive to improve quality of care.
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.
Globally, cancer research has been considered one of the most important field of biomedical researches. Recently, in Korea, there are increasing concerns about cancer research and the development of national cancer control programme. For the efficient investment in cancer research at the national level, strategic approach is needed based on the nationwide information about current status of research. However even the basic data on cancer research have not been systematically collected, and are not available when necessary. The aim of this study is to assess current status of cancer research. For this purpose, this study applied two round Delphi method in which fifteen experts in cancer research fields participated. They rated each items on the initial list at the first round, and modified their responses at the second round. Panels responded that pathogenesis of cancer, research & development of cancer drug, and oncogene, etc. are the most urgent and important research Holds. They assessed national level of cancer research as being 49.6% of the world highest level. Coefficient of variation tended to be lowered with the iteration. Predictive stability was evaluated to be lower in items of urgency than in items of importance and research level. Although this study shares the same limitations in the selection of the experts with many other Delphi studies, it provides a primary data that would be required to plan the national strategy of the cancer research.
Health insurance fees are set by relative value scales and conversion factors. Since 2008 the conversion factor has been classified into 7 according to the provider type, and a separate contract has been made respectively. As such classification of the conversion factor reflects only the different characteristics of providers, however, further classification to reflect the different cost structures of providers is proposed. Cost varies according to the type of not only providers but also services each provider supply. In fact different cost structures of providers are the result of their different services. This study analyzed the cost structure of medical services to propose a new approach to the classification of the conversion factor. This study analyzed the cost structure of medical services using cost data constructed in the revision study of relative value scales. The cost data consist of doctor's fee, support staff's fee, cost of medical equipments, cost of medical supplies and indirect cost. The proportion of each cost component to the total cost was analyzed in terms of service department and service type. 72 service groups are defined in terms of the combination of service department and service type. Through cluster analysis, 72 service groups were reduced into 7 clusters each of which has a similar cost structure. Conversion factor is contracted annually to reflect the change in the cost of providing medical services. So the classification of conversion factor has to be based on the cost structures of medical services, not the characteristics of providers. Service clusters derived in this study can be used as a new classification for health insurance fee contract.
This study explored the impact on the DRG(Diagnosis-Related Groups)-based prospective payment system(PPS) operated by voluntarily participation providers. We analyzed whether the provides in the DRG-based PPS and in traditional fee-for-service(FFS) systems showed different the degree of variation in length of stay(LOS), and the providers' behaviors depending on the differences according to the varied participation periods. The study sample included all data 2,061 institutions participated in DRG-PPS in 2007 and all cases 473 FFS institutions which reported fee-for-service claims were reviewed same diagnosized diseases at least 10cases claims during three months We compared the differences of the LOS among health care institutions according to their type, region, and size. For DRGs showing significant differences in LOS, multiple regression analyses were performed to find out factors associated with LOS and interaction effect participation and hospital types or participation periods. The result provide the evidence that the DRG payment system operated by volunteering health care institutions had impact on resources use, which can reduce the institutions' the length of stay. While some DRGs had no correlation between participation periods and LOS, other DRGs, DRG participation period reversely linear relationship with LOS. That is to say, the longer participation year, the less reducing the LOS. These results support the future expansion of the DRG-based PPS plan to all health care services in Korea.
Background: As most of people in Korea are covered by National Health Insurance (NHI), the disease information collected in NHI provides high availability for health policy. Nevertheless, the validity of disease codes in NHI data has been controversial till now. So we tried to evaluate the validity of them by comparing the NHI claims data with Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) data. Methods: We compared the NHI patients sample data (2009) with the KNHDIIS data (2009). We selected the inpatient data of KNHDIIS and NHI patients sample. The weighted number of patients from NHI patients sample was 5,551,210 and the number of patients from KNHDIIS was 5,559,874. We classified the disease codes into principal diagnoses and other diagnoses, and we compared as one, two, three unit level. Also we calculated the agreement rate of each of them. Results: In the comparison of principal diagnoses, NHI claims data had more C code than KNHDIIS data did, whereas KNHDIIS data had more Z code than NHI claims data did. In the comparison of other diagnoses, NHI claims data had 2, 3 more codes than KNHDIIS data did. The overall agreement rate at three unit level was 76.5% in principal diagnoses and 46.8% in other diagnoses. Conclusion: Considering the large difference between the two data, the validity of disease codes in NHI Claims data seems to be low. To increase the validity of them, the definite detail coding indicator, the reinforcement of coding education, and the reform of system are needed.
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