Objectives: This study examined differences in health care spending and characteristics among older adults in Korea by high-cost status (persistently, transiently, and never high-cost). Methods: We identified 1 364 119 older adults using data from the Korean National Insurance Claims Database for 2017-2019. Outcomes included average annual total health care spending and high-cost status for 2017-2019. Linear regression was used to estimate differences in the outcomes while adjusting for individual-level characteristics. Results: Persistently and transiently high-cost older adults had higher health care spending than never high-cost older adults, but the difference in health care spending was greater among persistently high-cost older adults than among transiently high-cost older adults (US$20 437 vs. 5486). Despite demographic and socioeconomic differences between transiently high-cost and never high-cost older adults, the presence of comorbid conditions remained the most significant factor. However, there were no or small differences in the prevalence of comorbid conditions between persistently high-cost and transiently high-cost older adults. Rather, notable differences were observed in socioeconomic status, including disability and receipt of Medical Aid. Conclusions: Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults in Korea.
Variation in the utilization of medical services is a very important issue in cost containment and quality assurance of health care. Practice variation directly affects health care expenditure especially in fee-for-service system, which is the payment system of health insurance in Korea. In addition to cost issue it is generally accepted that variations in medical practice and the cost of inpatient care suggest the possibility of inappropriate quality of care. This study is to closely examine the patterne and degrees of variation in cost structure of inpatient care among types of hospital and individual hospitals in some tracer diseases, and also to inquire into the service items which contribute much to the variation of total medical care cost. Foru common diseases, i.e. Cesarean Section, appendectomy, cataract extraction and pediatric pneumonia, were selected as tracer diseases. In most tracer diseases there were statistically significant differences in total medical care cost among hospitals in same type of hospital as well as among types of hospital(p<0.01). When total medical care cost were subdivided into the types of service, cost of medication and diagnostic examination varied the most prominenly. When the cost of medication were subdivided again, cost of parenteral antibiotics showed the most prominent variation. Of total medical care cost, medication was most contributory to the variation of total medical care cost(58.1~82.3%), and cost of antibiotics was most contributory to the variation of medication cost(63.9~92.2%). The results of study implicated that reducing the variation of medication may plays a significant role in containing the cost of inpatient care. In order to sort out the factors affecting practice variations including drug prescription pattes further researches are required.
A new cost management system, called Activity Based Costing (ABC) system, has arisen to solve the limitation of a Traditional Cost Accounting (TCA) system until last two decades and ABC has been applied by many companies. TCA systems have limitation in tracing cost because they arbitrarily allocate overhead cost to the cost objects without standard for direct cost distribution. ABC is an accounting system that assigns costs to products or services based on the resources they consume. The costs of all activities are traced to the products for which they are performed. Therefore ABC is a cost management system that provides a matrix to accurately quantify consumed resources triggered by activities and activities triggered by products and services. There is little implementation of ABC in the health services field, one of service industries, due to complicated and many activities, and volatile cost object. However, the necessity for applying reasonable cost accounting system is largely issuing as strategy responding hostile environment, and financial pressure, and it is imperative to implement the Activity Based Costing (ABC) system. Therefore, this study presents the framework to develop ABC system for total health service organizations. Cost objects in this study base on medical service activities per health insurance claim from one general hospital located in Metropolitan Statistical Areas (MSAs). Medical service activities include all health insurance claims in the hospital. The purpose of the study is presenting useful tools and basic frame to develop Activity Based Costing system for health service organizations which want to use ABC system. The steps to develop ABC system for health service organizations are following: 1. Identifying of activity centers; 2. Definition of cost objects and activity by activity center; 3. Analysis of activity and tracing activity contribution; 4. Allocation of direct cost for specific activity; 5. Allocation of indirect cost for specific activity; 6. Allocation of depreciation for facilities, applicants, and consumption goods; 7. Allocation of administration cost; 8. Allocation of cost among activity centers; and 9. Tracing cost of cost objects by activity center. This study identified necessary information from existing reports which hospitals generally made by each step, and defined outcome which had to be produced in each step using this information. The steps of this study had limitation to apply all different size hospitals because the steps were structured ABC system by one hospital, however, this study used similar basic framework and methods with general cases. When a health service organization want to apply Activity Based Costing (ABC) system on all activities of it in future days, this study is very useful to design system structure in the health service organization.
Background : If different cost efficiency indexes were informed to the same clinic depending on the inclusion or exclusion of pharmacy cost, it may impair the reliability of provider-profiling system. This study aimed to investigate whether the omission of pharmacy cost affects cost-efficiency rankings in medical clinics. Methods : Data for ambulatory care cost at 23,112 medical clinics were collected from the claims database, which was constructed after review by the Health Insurance Review and Assessment Service (HIRA) of Korea in April 2007. We calculated two types of cost efficiency indexes by inclusion or exclusion of pharmacy cost for a medical clinic. The agreement between the decile rankings of the two indexes was also assessed using the weighted kappa statistic of Landis and Koch. Results : When the cost efficiency index for total cost including pharmacy cost was compared with the index for total cost excluding it, the agreement between the two indexes was only 55%. The agreements between the two indexes were relatively low within specialties which have larger pharmacy volume of total cost and lower correlation between total cost with or without pharmacy cost included than the average level of all the specialties. Conclusion : These results suggest that the omission of pharmacy cost may result in contradictory outcomes that may be confusing to a medical institution and may impair the reliability of provider-profiling systems. It is very important to standardize profiling criteria for the reliability of provider profiling system.
Social solidarity, equity in financing, and efficiency in administration have been core issues in the development of Korean health insurance reformation since 1988. This study is to investigate the trend of administrative cost in Korean National Health Insurance from various aspects. For the analysis of administrative cost, the expenditures of each insurance society and the National Health Insurance Corporation are divided into 4 items of (1) insurance benefit, (2) administrative cost, (3) an agency provision accounts, (4) other expenses, and then they are reorganized. The analyses based on 5 types of the health insurance administrative cost showed that efficiency in administration has been improved generally. We, however, should consider qualitative aspects such as customer's satisfaction with health insurance administration, prompt service, control of unjust expenditure (unjust claims), and provision of medical service including health consultation in assessing efficiency of administration. And, in order to connect the administrative costs of health insurance with efficiency, we need to give a fundamentally new definition, which can contain elaborateness of expenditure in details including the structure and evaluation method of administrative costs. It may be necessary to develop new indicators or analyzing methods hereafter.
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.
Objectives: Objectives: The objective of this study is to describe the WHO-CHOICE(World Health Organization- CHOosing Interventions that are Cost-Effective) programme, and to consider the application of WHO-CHOICE programme in Korea, especially on the health promotion policy. Methods: Literature review was conducted on the contents of WHO-CHOICE programme in the previous studies, guidebook, and software. We also contacted WHO-CHOICE team at WHO to identify the contents not clearly presented in the documents. Results: The WHO-CHOICE programme is a standardized tool for analyzing and comparing the cost effectiveness of health promotion policies. It is composed of PopMod to measure the health effect of intervention and of CostIt to measure the cost. The cost of tobacco control policy in Korea was analyzed with the cooperation of WHO-CHOICE team preliminary, and the results were different with the results of tobacco control policy on western pacific region of WHO. Conclusions: The cost effectiveness study based on WHO-CHOICE programme could help decide a priority of health promotion policy for settings with limited resources. For the improvement of health, the future work on WHO-CHOICE programme need to be considered.
Background: As the government has recently been discussing the expansion of the disaster health expenses support project, we would like to confirm the characteristics of beneficiaries of the support project, particularly those of high-cost beneficiaries. Methods: Using the database of catastrophic health expenditure support project from 2019-2020, this study aims to confirm the characteristics of high-cost beneficiaries focusing on the overlap of the relieved out-of-pocket systems, known as the out-of-pocket ceiling system and the system for rare incurable diseases. Logistic regression analysis is used to examine this issue. Results: In order to analyze the factors influencing high-cost beneficiaries, five models were created and analyzed, including the status of duplicated beneficiaries for relieved out-of-pocket systems, sociodemographic and economic factors, and individual health status as sequential independent variables. All five models were statistically significant, of which economic factors had the greatest impact on the model's predictions. The main results indicated that those who benefited from multiple systems in duplicate were more likely to be high-cost beneficiaries, and there is a higher probability of incurring high health expenses among the underage. In addition, within the beneficiaries of catastrophic health expenditure support project, it was observed that higher health insurance premium percentiles are associated with a higher proportion of high-cost beneficiaries. Conclusion: This study examined the characteristics of high-cost beneficiaries by encompassing reimbursement and non-reimbursement. According to this study, it is expected to be used as basic data for setting priorities and improving the current criteria of catastrophic health expenditure support project, aiming to sequentially expand the program.
Misra, Swati;Lairson, David R.;Chan, Wenyaw;Chang, Yu-Chia;Bartholomew, L. Kay;Greisinger, Anthony;Mcqueen, Amy;Vernon, Sally W.
Journal of Preventive Medicine and Public Health
/
제44권3호
/
pp.101-110
/
2011
Objectives: Screening for colorectal cancer is considered cost effective, but is underutilized in the U.S. Information on the efficiency of "tailored interventions" to promote colorectal cancer screening in primary care settings is limited. The paper reports the results of a cost effectiveness analysis that compared a survey-only control group to a Centers for Disease Control (CDC) web-based intervention (screen for life) and to a tailored interactive computer-based intervention. Methods: A randomized controlled trial of people 50 and over, was conducted to test the interventions. The sample was 1224 partcipants 50-70 years of age, recruited from Kelsey-Seybold Clinic, a large multi-specialty clinic in Houston, Texas. Screening status was obtained by medical chart review after a 12-month follow-up period. An "intention to treat" analysis and micro costing from the patient and provider perspectives were used to estimate the costs and effects. Analysis of statistical uncertainty was conducted using nonparametric bootstrapping. Results: The estimated cost of implementing the web-based intervention was $40 per person and the cost of the tailored intervention was $45 per person. The additional cost per person screened for the web-based intervention compared to no intervention was $2602 and the tailored intervention was no more effective than the web-based strategy. Conclusions: The tailored intervention was less cost-effective than the web-based intervention for colorectal cancer screening promotion. The web-based intervention was less cost-effective than previous studies of in-reach colorectal cancer screening promotion. Researchers need to continue developing and evaluating the effectiveness and costeffectiveness of interventions to increase colorectal cancer screening.
Purpose: This study focused on analysing costs per home health care nursing visit based on home health care nursing activities in medical institutes. Method: The data was collected in three stages. First, the cost elements of home health care nursing services were collected and 31 home care nurses participated. Second, the workload and caseload of home care nursing activities were measured by the Easley-Storfjell Instrument(1997). Third, the opinions on improving the home health care nursing reimbursement system were collected by a nation-wide mailing survey from a total of 125 home care agencies. Result: The cost of home health care nursing per visit was calculated as 50,626\. This was composed of a basic visiting fee of $35,090{\\}({\fallingdotseq}355$)$ and travel fee of $15,536{\\}({\fallingdotseq}15$)$. The major problems of the home care nursing payment system were the low level of the cost per visit, no distinction between first visit and revisits, and the limitations in health insurance coverage for home health care nursing services. Conclusion: This study's results will contribute as a baseline for establishing policies for improvement of the home health care nursing cost and for applying a community-based visiting nursing service cost.
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