• Title/Summary/Keyword: Medical Care Costs

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Determinants of the Operating Profitability of the Medical Clinics (의원의 의료수익성 결정요인)

  • Jung, Seong-Wan;Hwang, In-Kyoung;Jung, Doo-Chae
    • Korea Journal of Hospital Management
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    • v.11 no.1
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    • pp.54-90
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    • 2006
  • Medical clinics are core institutes that cover the primary medical care in Korea. Financial viability of the clinics is essential for them to conduct their roles and functions, and can be improved by increasing their operating profitability. On this ground, this study aimed at finding important factors that affect the operating profitability, and thereby at suggesting strategic alternatives that can contribute to the improvement of the profitability. Operating margin was set as a dependent variable, and such factors as general management conditions, number of visits, medical revenue, marketing activities, input resources, medical cost as independent variables. Nineteen hypotheses related to the variables were established and tested using data collected from 138 sample clinics for the year 2003. The results of the study are as follows : Firstly, such variables as percent ratio of the depreciation plus rent costs to total administration costs, type of clinical department manifested whether medical, surgical, or quasi-surgical, percent ratio of the interior facility investment to total fixed assets, and total number of outpatient visit are important factors that affect, positively or negatively, the medical profitability of the clinics. Secondly, following measures are needed to be established and implemented to improve the medical profitability. (1) Administration costs share 53.2% of the total medical costs, and depreciation plus rent costs 16.3% of the total administration costs. This implies that such measures as reinforcement of marketing activities, establishment of the cooperative utilizing system of the facility and equipment, or group practice are needed to increase cost-effectiveness. (2) Occupancy rate of the clinics with inpatient bed is as low as 45.5%, causing high fixed costs and low medical profitability. For its improvement, the resource input structure should be reorganized. Thirdly, in the future, a study that can increase sample representativeness of the study and explanation power of the variables should be performed for each type of clinical department to find more specific determinant factors and to contribute to the improvement of the medical profitability of the clinics.

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A Study of Total Medical Cost and Hospitalization Risk of Patients with Schizophrenia and Type 1 Diabetes Mellitus (제1형 당뇨병을 동반한 조현병 환자의 총 의료비용 및 입원 위험)

  • Lee, Sang-Uk;Kim, You-Seok
    • Korean Journal of Schizophrenia Research
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    • v.22 no.1
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    • pp.8-13
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    • 2019
  • Objectives: The aim of this study was to explore the prevalence of type 1 diabetes in patients with schizophrenia and their total medical costs and risk of hospitalization. Methods: This study used Health Insurance Review and Assessment Service data in Korea. To examine total medical costs and risk of hospitalization, we selected 1,510 subjects with schizophrenia (half with and half without type 1 diabetes) that were 1:1 matched via propensity score matching. In health care system perspective, total medical costs included out-of-pocket and insurer's costs. Logistic regression models were used to examine the risk of hospitalization. Results: The prevalence of type 1 diabetes in patients with schizophrenia was 3.87 per 1,000 person year. Among patients with schizophrenia, the amount of total average medical costs and hospitalization costs in patients with type 1 diabetes was 1.49 and 1.59 times higher than those in patients without it, respectively. The odds of hospitalization were higher among patients with type 1 diabetes compared with those without it (odds ratio, OR=1.97 ; 95% CI 1.60-2.43). Conclusion: This study showed that medical costs and risk of hospitalization were higher in schizophrenia patients with type 1 diabetes. Therefore, these individuals may require specific care programs.

Comparisons of Medical Costs between Hospice and Non-hospice Care (호스피스와 비호스피스 병실에 입원한 말기 암 환자의 진료비용 분석)

  • Kim, Nam-Cho;Young, Jin-Sun;You, So-Young
    • Journal of Hospice and Palliative Care
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    • v.10 no.1
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    • pp.29-34
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    • 2007
  • Purpose: The purpose of this study was to show the differences of medical cost between hospice and non-hospice care for terminally ill patients. This information provides basic data to nationally institutionalize hospice care for decreasing costs and enhancing quality of life for terminally ill patients. Methods: Participants of this study were 114 terminally ill cancer patients who were diagnosed and died with stomach cancer and lung cancer at the K hospital of the C university. The study was a retrospective survey design that analyzed the medical costs for two weeks before they died. The cost analysis was done according to 11 items form the medical cost bill. Results: Patients enrolled in hospice care had significantly lower medical costs (53%) than did non-hospice patients especially in use of TPN, narcotic analgesics, nursing care, radiology tests, and blood tests. Among patients enrolled/admitted in the hospice unit, there was a significant cost difference only in use of analgesics whether the hospice specialized doctor was in charge of care or not. The cost was significantly lower when a hospice specialized doctor was in charge of care although the total medical cost was the same. Conclusion: This study identified lower medical costs for patients cared for in the hospice unit. Thus, we urge institutionalizing hospice care without delay to insure cost benefits as well as quality care.

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Early Detection is Important to Reduce the Economic Burden of Gastric Cancer

  • Kim, Jie-Hyun;Kim, Sung Soo;Lee, Jeong Hoon;Jung, Da Hyun;Cheung, Dae Young;Chung, Woo-Chul;Park, Soo-Heon
    • Journal of Gastric Cancer
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    • v.18 no.1
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    • pp.82-89
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    • 2018
  • Purpose: Early detection of gastric cancer is important to improve prognosis. Early detection enables local treatment, such as endoscopic submucosal dissection (ESD). Therefore, we investigated whether early detection of gastric cancer could reduce healthcare costs by comparison according to stage and treatment modalities. Materials and Methods: Medical care costs were investigated according to tumor stage and initial treatment modality in 1,188 patients newly diagnosed with gastric cancer at 7 medical institutions from December 2011 to June 2012. Total medical care costs during the first-year after diagnosis (total first-year costs) were examined, including the costs of initial treatment, post-initial treatment, and inpatient and outpatient visits. Results: Stage I (75.3%) was the most common cancer stage. ESD was the second most common treatment following surgery. Total first-year costs increased significantly from stages I to IV. The costs of initial treatment and post-initial treatment were lowest in patients with stage I cancer. Among patients with stage I cancer, total first-year costs were significantly lower when treated by ESD; in particular, initial ESD treatment costs were much lower than others. Conclusions: The cost of healthcare has increased significantly with increasing cancer stages. ESD can greatly reduce medical care costs of gastric cancer. Thus, early detection of gastric cancer is important to reduce healthcare costs.

Is the Utilization of MID Services affected by the Implementation of Insurance Coverage?: Based on Claim Data of a General Hospital (MRI 보험급여 적용이 진료이용량에 미치는 영향 : 한 종합병원의 청구자료를 중심으로)

  • Kim, Seon-Hee;Kim, Chun-Bae;Cho, Kyung-Hee;Kang, Im-Ok
    • Health Policy and Management
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    • v.18 no.2
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    • pp.1-18
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    • 2008
  • As medical insurance had been implemented for Magnetic Resonance Imaging (MRI) from January 1, 2005, this study investigated whether there had been any change in the amount of the medical care utilization of patients who undertook MRI before and after the insurance coverage, and was to examine factors affecting the amount of medical care utilization of MRI. Data were collected from patients who undertook MRI before and after the insurance coverage for a year at a general hospital in Kyeanggi-do. $X^2$ and t-test were used for the analysis of their general characteristics, the number of MRI, and its medical costs before and after the insurance coverage, and hierarchical multiple regression analysis for the factors affecting the amount of the medical care utilization of MRI. The results of this study were as follows. First, the number of MRI after the insurance coverage was significantly decreased. Second, there was no significant difference in the total medical costs of MRI after the insurance coverage, but a significant difference was found in patient's share of medical costs. Third, six variables were found to be affecting the amount of the medical care utilization of MRI, and the variables showed to lead the number of MRI decrease after the insurance coverage. These six factors explained 21.4% of the total number of MRI. As MRI had been covered by insurance, the use of MRI and patient's share of the costs were deceased, but the total medical costs were not affected. Reasons for that could be found in that MRI insurance, different from the case of CT insurance coverage, was allowed not to cover some items and the kinds of diseases subjected to the insurance coverage were extremely limited, lowering insurance prescription rate. In addition to that, the average medical cost of MRI was not changed after the insurance coverage. Therefore, as future measures for the MRI insurance, coverage, it should be considered to allow insurance coverage to no coverage items and to expand the scope of benefit coverage, or to lower patient's share of the costs. Furthermore, researches should be done to explore how recipients will act and how suppliers will react if the coverage is expanded, including expanding the scope of coverage and reducing patient's share of the costs, as well as to conduct research on its economic analysis according to case mix.

Connecting Value and Costs

  • Eddy David M.
    • 대한예방의학회:학술대회논문집
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    • 1994.02b
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    • pp.84-86
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    • 1994
  • AS A SOCIETY, we are in conflict with ourselves about the cost of health care. 1 On one hand, we want the best care possible, regardless of cost. On the other hand, we are not willing to pay the cost of the care we want. Our conflict parallels a flaw in the medical marketplace. An essential condition for achieving an equilibrium between cost and value is that the two must be connected through decisions. When people decide what products and services (goods) they want, they must not only see the value they will receive, but they mast also be responsible for the costs. Because of a variety of features of the medical marketplace-most notably third-party coverage, third-party advice, and uncertainty about outcomes-the required connection between value and cost is severed. The result is what we see. One side of our collective mind demands more services while the other side cries that costs are too high. Resolving our conflict will require connecting value to cost. An essential step in accomplishing this will be to incorporate costs in practice policies. 1 As controversial as that thought might seem (the great majority of practice policies currently do not take costs into account except in the most rudimentary way), arriving at the conclusion is the easy part. A more difficult issue is how to implement the goal of connecting value to cost. Suppose we agree that, in principle, costs should be considered when practice policies are designed, and that an activity should be recommended and covered only if its health outcomes (benefits minus hanns) are deemed to be worth its costs. The next questions are, Who should do the deeming? What should the deemers be asked?

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Cost-of-illness Study of Asthma in Korea: Estimated from the Korea National Health Insurance Claims Database (건강보험 청구자료를 이용한 우리나라 천식환자의 질병비용부담 추계)

  • Park, Choon-Seon;Kwon, Il;Kang, Dae-Ryong;Jung, Hye-Young;Kang, Hye-Young
    • Journal of Preventive Medicine and Public Health
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    • v.39 no.5
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    • pp.397-403
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    • 2006
  • Objectives: We estimated the asthma-related health care utilization and costs in Korea from the insurer's and societal perspective. Methods: We extracted the insurance claims records from the Korea National Health Insurance claims database for determining the health care services provided to patients with asthma in 2003. Patients were defined as having asthma if they had ${\geq}$2 medical claims with diagnosis of asthma and they had been prescribed anti-asthma medicines, Annual claims records were aggeregated for each patient to produce patient-specific information on the total utilization and costs. The total asthma-related cost was the sum of the direct healthcare costs, the transportation costs for visits to health care providers and the patient's or caregivers' costs for the time spent on hospital or outpatient visits. Results: A total of 699,603people were identified as asthma patients, yielding an asthma prevalence of 1.47%. Each asthma patient had 7.56 outpatient visits, 0.01 ED visits and 0.02 admissions per year to treat asthma. The per-capita insurance-covered costs increased with age, from 128,276 Won for children aged 1 to 14 years to 270,729 Won for those aged 75 or older. The total cost in the nation varied from 121,865 million to 174,949 million Won depending on the perspectives. From a societal perspective, direct health care costs accounted for 84.9%, transportation costs for 15.1 % and time costs for 9.2% of the total costs. Conclusions: Hospitalizations and ED visits represented only a small portion of the asthma-related costs. Most of the societal burden was attributed to direct medical expenditures, with outpatient visits and medications emerging as the single largest cost components.

The Effect of Obesity on Medical Costs and Health Service Uses (비만이 의료비와 의료이용에 미친 영향 분석)

  • Kim, Da-Yang;Kwak, Jin-Mi;Choi, So-Young;Lee, Kwang-Soo
    • The Korean Journal of Health Service Management
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    • v.11 no.3
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    • pp.65-78
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    • 2017
  • Objectives : Obesity is a worldwide health concern due to an increasing obese population. This study proposed to analyze the differences in medical costs and care utilization between obese and normal group using propensity score matching. Methods : Data were collected from the sample cohort database by the Korea National Health Insurance Corporation. Propensity score matching(PSM) was applied to control selection bias, and factors affecting obesity were used as covariates in PSM. Results : The results showed higher medical costs and care utilization in the obese group than the normal group. According to gender and medical type, there were differences in the relationships between obesity and medical charges and utilization. In particular, the differences in the female population were larger in both outpatients and inpatients than the male population. Conclusions : It is important to manage obesity, because obesity has a negative effect on national health insurance costs. These findings suggest directions for future research.

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.

The Income and Cost Estimate for the Medical Clinic Services Based on Available Secondary Data (이차자료원을 활용한 의원 의료서비스 수입 및 비용 산출)

  • Kim, Sun Jea;Lim, Min Kyoung
    • Korea Journal of Hospital Management
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    • v.26 no.1
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    • pp.71-82
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    • 2021
  • Purpose: The purpose of this study is to estimate incomes and costs of the medical clinics by using secondary data. Methodology: The medical incomes and costs were estimated from 405 clinics operated by sole practitioner providing out-patient services among all clinics subject to the Medical Cost Survey on National Health Insurance Patients in 2017, excluding dental clinics and oriental medical clinics. The incomes and costs of the medical clinics were reflected with incomes and costs of health insurance benefits and were calculated by types of medical services (i.e., basic care, surgery, general treatment, functional test, specimen test and imaging test). The costs were classified as follows: labor costs, equipment costs, material costs and overhead costs. Secondary data was used to estimate the incomes and costs of the medical clinics. For allocation bases for costs for each type of the medical service, the ratio of revenue from health insurance benefits by types of medical services was applied. However, labor costs were calculated with the activity ratio by types of medical services and occupations, using clinical expert panel data. Finding: The percentage of health insurance income for all medical income was 73.1%. The health insurance cost per clinic was 401,864 thousand won. Labor cost accounted for the largest portion of the health insurance income was 191,229 thousand won (47.6%), followed by management cost was 170,018 thousand won (42.3%), materials cost was 35,434 thousand won (8.8%), and equipment costs was 5,183 thousand won (1.3%). Practical Implications: This study suggests a method of estimating incomes and costs of medical clinic services by using secondary data. It could efficiently provide incomes and costs to assess an appropriate level of the health insurance fee to the clinics.