• Title/Summary/Keyword: Costliness index

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Assessment of Validity of Inpatient Classification System in Korean Medicine (KDRG-KM) (한의 입원환자분류체계의 적정성 평가)

  • Kim, Dongsu;Ryu, Jiseon;Lee, Byungwook;Lim, Byungmook
    • The Journal of Korean Medicine
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    • v.37 no.3
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    • pp.112-122
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    • 2016
  • Objectives: This study aimed to assess the validity of 'Korean Diagnosis Related Groups-Korean Medicine (KDRG-KM)' which was developed by Health Insurance Review & Assessment Service (HIRA) in 2013 Methods: Among inpatient EDI claim data issued by hospitals and clinics in 2012, the data which included Korean medicine procedures were selected and analyzed. We selected control targets in the Korean medicine hospitals which had longer Episodes-Costliness index (ECI) and Lengthiness index (LI) than average of total Korean medicine hospitals, and compared the results of selection between the major diagnosis-based patient classification system and the KDRG-KM system. Finally, the explanation power (R2) and coefficient of variation (CV) of the KDRG-KM system using practice expenses were calculated. Results: The numbers of control target in Korean medicine hospitals changed from 36 to 32 when patient grouping adjustment method was changed from major diagnosis to KDRG-KM. For expenses of all outpatient claim data on Korean medicine, explanation power of KDRG-KM system was 66.48% after excluding outliers. CVs of expenses of patient groups in Korean medicine hospitals were gathered from under 70% to under 90%, and those in long-term care hospitals mostly belonged under 70%. Conclusions: The validity of KDRG-KM system was assured in terms of explanation power. By adapting KDRG-KM system, fairness of control targets selection for costliness management in Korean medicine hospitals can be enhanced.

Limitations and Improvement of Using a Costliness Index (진료비 고가도 지표의 한계와 개선 방향)

  • Jang, Ho Yeon;Kang, Min Seok;Jeong, Seo Hyun;Lee, Sang Ah;Kang, Gil Won
    • Health Policy and Management
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    • v.32 no.2
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    • pp.154-163
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    • 2022
  • Background: The costliness index (CI) is an index that is used in various ways to improve the quality of medical care and the management of appropriate treatment in medical institutions. However, the current calculation method for CI has a limitation in reflecting the actual medical cost of the patient unit because the outpatient and inpatient costs are evaluated separately. It is desirable to calculate the CI by integrating the medical cost into the episode unit. Methods: We developed an episode-based CI method using the episode classification system of the Centers for Medicare and Medicaid Services to the National Inpatient Sample data in Korea, which can integrate the admission and ambulatory care cost to episode unit. Additionally, we compared our new method with the previous method. Results: In some episodes, the correlation between previous and episode-based CI was low, and the proportion of outpatient treatment costs in total cost and readmission rates are high. As a result of regression analysis, it is possible that the level of total medical costs of the patient unit in low volume medical institute and rural area has been underestimated. Conclusion: High proportion of outpatient treatment cost in total medical cost means that some medical institutions may have provided medical services in the ambulatory care that are ancillary to inpatient treatment. In addition, a high readmission rate indicates insufficient treatment service for inpatients, which means that previous CI may not accurately reflect actual patient-based treatment costs. Therefore, an integrated patient-unit classification system which can be used as a more effective CI indicator is needed.

The Comprehensive Management Indexes and Their Application Strategies for Appropriate Medical Care in Primary Care Clinics Under Workers' Compensation Insurance (산재보험지정의원 요양급여적정성 종합관리지표 산출 및 적용방안)

  • Bang, Eun Ju;Choi, Eun Sook;Ko, Young
    • Korean Journal of Occupational Health Nursing
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    • v.17 no.1
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    • pp.86-95
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    • 2008
  • Purpose: The objectives for this study are to produce the comprehensive management indexes and find their application strategies for appropriate medical care in primary care clinics under workers' compensation insurance. Method: Data of this study was workers' compensation insurance medical fees claim's data from July 2006 to June 2007. Data were analyzed using SAS 9.1 version by applying descriptive statistics and Pearson's correlation. The indexes such as costliness index(CI), standard medical fee were calculated based on the fourth revision of korean classification of diseases(KCD-4.). Results: The CI, visiting index(VI), outliers index(OI), and medical review adjustment percentage were positively correlated in the both inpatient and outpatient medical fees in primary care clinics under workers' compensation insurance. The major medical specialities were neurological surgery, general medicine, general surgery, rehabitational medicine, and orthopedic surgery. The CIs were slightly high in rehabitational medicine among major medical specialities. The CIs were mostly high in diagnosis, test, anesthesia, and rehabitational assistive device fees among major medical specialities. The CIs were slightly high in Kwangju, Daegu, Daejeon, and Busan districts among district management centers of Korea Workers' Compensation and Welfare Service. Conclusions: We suggest the continuous development of appropriate disease classification system and medical care quality indicators to successfully take root the comprehensive management for appropriate medical care under workers' compensation.

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Medicare's Reimbursement for Innovative Technologies: Focusing on Artificial Intelligence Medical Devices (미국의 혁신의료기술 지불보상제도: 인공지능 의료기기를 중심으로)

  • Lee, Boram;Yim, Jaejun;Yang, Jangmi
    • Health Policy and Management
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    • v.32 no.2
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    • pp.125-136
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    • 2022
  • The costliness index (CI) is an index that is used in various ways to improve the quality of medical care and the management of appropriate treatment in medical institutions. However, the current calculation method for CI has a limitation in reflecting the actual medical cost of the patient unit because the outpatient and inpatient costs are evaluated separately. It is desirable to calculate the CI by integrating the medical cost into the episode unit. We developed an episode-based CI method using the episode classification system of the Centers for Medicare and Medicaid Services to the National Inpatient Sample data in Korea, which can integrate the admission and ambulatory care cost to episode unit. Additionally, we compared our new method with the previous method. In some episodes, the correlation between previous and episode-based CI was low, and the proportion of outpatient treatment costs in total cost and readmission rates are high. As a result of regression analysis, it is possible that the level of total medical costs of the patient unit in low volume medical institute and rural area has been underestimated. High proportion of outpatient treatment cost in total medical cost means that some medical institutions may have provided medical services in the ambulatory care that are ancillary to inpatient treatment. In addition, a high readmission rate indicates insufficient treatment service for inpatients, which means that previous CI may not accurately reflect actual patient-based treatment costs. Therefore, an integrated patient-unit classification system which can be used as a more effective CI indicator is needed.

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.

Development of efficiency indicators for medical resources use using Delphi technique (델파이 조사법을 이용한 의료 자원 사용의 효율성 평가지표 개발)

  • Choi, Yoon-Jung;Kwon, Young-Dae;Kim, Chang-Soo;Kim, Yoon
    • Health Policy and Management
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    • v.22 no.1
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    • pp.65-84
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    • 2012
  • Because of the rising healthcare costs, there is a growing need for developing efficiency indicators for medical resources use and measuring efficiency of healthcare providers and healthcare systems using them. In this study, we aimed to develop efficiency indicators for medical resources use by means of Delphi technique. We systematically reviewed the existing measures of medical resource use. Thirty nine indicators were selected as a candidates across the six domains: medical personnel, medical equipment, medical facilities, ethical management, resource efficiency, and drug use. To develop efficiency indicators with professional consensus, a 2-round Delphi survey was conducted among 29 professional experts. The following indicators were selected based on the Delphi survey results: adjusted number of the patient per day and level of the nurse number medical personnel in medical personnel domain; the number of the scan a professional physician and the quality of the scan in medical equipment domain; bed utilization rate in medical facility domain; drug price reported pharmaceutical price by medical institutions, medical fee billing transparency, and medical care appropriateness in ethical management domain; costliness index in resource efficiency domain; and utilization of high cost drug and items per prescription in drug use domain. The efficiency indicators could provide valid information about efficiency of healthcare providers and healthcare systems with respect to their resources use and facilitate policies to improve their efficiency.