• Health Policy and Management
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• v.34 no.1
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• pp.26-37
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• 2024

Background: The purpose of this study was to compare and analyze the differences in charges and length of stay per case between spine specialty hospitals and non-specialty hospitals, and to identify the factors that influenced them. Methods: This study used claims data from the Health Insurance Review and Assessment Service, including inpatient visits from January 2021 to December 2022. The healthcare facility status data was used to identify the characteristics of study hospitals. Multilevel analysis was conducted to identify factors associated with the charges and Poisson regression analysis was conducted to analyze the length of stay between spine specialty hospitals and non-specialty hospitals. There were 32,015 cases of spine specialty hospitals and 17,555 cases of non-specialty hospitals. Results: For four of five common spinal surgeries, specialty hospitals shaped longer length of stay than those of non-specialty hospitals. Multilevel and Poisson regression analysis revealed that regardless of the type of surgery, higher age and higher Charlson comorbidity index scores were significantly associated with an increase in both the charges per case and length of stay (p<0.05). However, when hospitals were located in metropolitan areas, there was a significant decrease (p<0.05). Conclusion: This study found that specialty hospital had higher inpatient charges and loner length of stay contrary to the previous study results. Further studies will be needed to find which contribute to the differences.

• Health Policy and Management
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• v.34 no.1
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• pp.78-86
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• 2024

Background: The purpose of this study was to determine the effectiveness of the specialty hospital system by comparing the medical use of inpatients who had artificial joint replacement surgery in specialty hospitals and non-specialty hospitals. Methods: This study utilized 2021-2022 healthcare benefit claims data provided by the Health Insurance Review and Assessment Service. The dependent variable is inpatient medical use which is measured in terms of charges per case and length of stay. The independent variable was whether the hospital was designated as a specialty hospital, and the control variables were patient-level variables (age, gender, insurer type, surgery type, and Charlson comorbidity index) and medical institution-level variables (establishment type, classification, location, number of orthopedic surgeons, and number of nurses). Results: The results of the multiple regression analysis between charges per case and whether a hospital is designated as a specialty hospital showed a statistically significant negative relationship between charges per case and whether a hospital is designated as a specialty hospital. This suggests a significant low in charges per case when a hospital is designated as a specialty hospital compared to a non-specialty hospital, indicating that there is a difference in medical use outcomes between specialty hospitals and non-specialty hospitals inpatients. Conclusion: The practical implications of this study are as follows. First, the criteria for designating specialty hospitals should be alleviated. In our study, the results show that specialty hospitals have significantly lower per-case costs than non-specialty hospitals. Despite the cost-effectiveness of specialty hospitals, the high barriers to be designated for specialty hospitals have gathered the specialty hospitals in metropolitan and major cities. To address the regional imbalance of specialty hospitals, it is believed that ease the criteria for designating specialty hospitals in non-metropolitan areas, such as introducing "semi-specialty hospitals (tentative name)," will lead to a reduction in health disparities between regions and reduce medical costs. Second, it is necessary to determine the appropriateness of the size of hospitals' medical staff. The study found that the number of orthopedic surgeons and nurses varied in charges per case. Therefore, it is believed that appropriately allocating hospital medical staff can maximize the cost-effectiveness of medical services and ultimately reduce medical costs.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.184-191
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• 2022

This study aims to provide basic information necessary to find an efficient management plan for patients using auto insurance. The analysis was conducted on the five-year auto insurance medical expenses review data registered in the health care bigdata Hub from 2016 to 2020. As a result of the analysis, the number one composition ratio of auto insurance inpatient treatment expenses was treatment and surgery fees for Certified tertiary hospitals, hospitalization fees for general hospitals, hospitals and clinics, and treatment and surgery fees for oriental medical institutions and dental hospitals. outpatient treatment expenses was doctor's fee for medical institution, treatment and surgery fees for oriental medical institutions and dental hospitals. The ratio of medication, anesthesia, and special equipment significantly affected the cost of inpatient. And the ratio of physical therapy significantly affected the cost of outpatient.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.270-279
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• 2011

This study to analyze differences of cancer patient's health utilizations in medical aid program and national health insurance by analysing health insurance claims data, and identify effects of health care systems. The majors results of the research were as follows. First, cancer patients in medical aid program more used total medical expenditures than in national health insurance mostly by many outpatient visits and long term hospitalization. Second, results of multiple regression, cancer patients in medical aid program more used total expenditures and inpatient expenditures. But, outpatient expenditures weren't different, cancer patients in medical aid program more visited medical institutions and hospitalized long term periods than in national health insurance. Therefore, it is too early to conclude that moral hazard is in health utilizations of medical aid program, because cancer patients in medical aid program many use in benefits for many nonbenefit burdens.

• Journal of Preventive Medicine and Public Health
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• v.24 no.3 s.35
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• pp.441-458
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• 1991

The objective of this study was to provide basic reference data for stabilization scheme of medical insurance benefits through forecasting of the medical care utilization rate, the medical expence per case, and the treatment days per case in medical insurance program for government employees & private school teachers and for industrial workers. For the achievement of above objective, this study was carried out by Box-Jenkins time series analysis (ARIMA Model), using monthly statistical data from Jan. 1979 to Dec. 1989, of medical insurance program for government employees & private school teachers and for industrial workers. The results are as follows ; ARIMA model of the medical care utilization rate in medical insurance program for government employees & private school teachers was ARIMA (1, 1, 1) and it for outpatient in medical insurance program for industrial workers was ARIMA (1, 1, 1), while it for inpatient in medical insurance program for industrial workers was ARIMA (1, 0, 1). ARIMA model of the medical expense per case in medical insurance program for government employees & private school teachers and for outpatient in medical insurance program for industrial workers were ARIMA (1, 1, 0), while it for inpatient in medical insurance program for industrial workers was ARIMA (1, 0, 1). ARIMA model of the treatment days per case of both medical insurance program for government employees & private school teachers and industrial workers were ARIMA (1, 1, 1). Forecasting value of the medical care utilzation rate for inpatient in medical insurance program for government employees & private school teachers was 0.0061 at dec. 1989, 0.0066 at dec. 1994 and it for outpatient was 0.280 at dec. 1989, 0.294 at dec. 1994, while it for inpatient in medical insurance program for industrial workers was 0.0052 at dec. 1989, 0.0056 at dec. 1994 and it for outpatient was 0.203 at dec. 1989, 0.215 at 1994. Forecasting value of the medical expense per case for inpatient in medical insurance program for government employees & private school teachers was 332,751 at dec. 1989, 354,511 at dec. 1994 and it for outpatient was 11,925 at dec. 1989, 12,904 at dec. 1994, while it for inpatient in medical insurance program for industrial workers was 281,835 at dec. 1989, 293,973 at dec. 1994 and it for outpatient was 11,599 at dec. 1989, 11,585 at 1994. Forecasting value of the treatment days per case for inpatient in medical insurance program for government employees & private school teachers was 13.79 at dec. 1989,13.85 at an. 1994 and in for outpatient was 5.03 at dec. 1989, 5.00 at dec. 1994, while it for inpatient in medical insurance program for industrial workers was 12.23 at dec. 1989, 12.85 at dec. 1994 and it for outpatient was 4.61 at dec. 1989, 4.60 at 1994.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.380-389
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• 2012

This study aims to argue fundamental issues on factors associated with revenues of hand injury patients to effectively manage hospitals specialized in hand injuries. The study employes 2,461 patients who entered S hospital from 2008 to 2010 with hand injuries. The followings are the results of the study. First, there is significant difference among occurrence of hand injuries with regard to demographics of patients. That is, it is likely to have longer average length of stay(ALOS) of male over female, of the elderly over infants and toddlers, and vice versa on average daily patient revenues. Also, compared to patients with traffic and labor insurance, patients with health insurance is likely to stay longer at lower daily cost. Fifth, demographics and incidence of hand injuries were significantly associated with average length of stay(ALOS) and average daily patient revenues. That is, male over female, age over 60 over any other age categories, patients with traffic and labor insurances over one with health insurance, cases with laceration, avulsion and bone transplantation over any other types of hand injury patients were factors significantly related to ALOS and average daily patient revenues. In sum, it is needed to focus on education and campaign to raise attentions on preventing various hand injuries. Also, managers at hospitals specialized in hand injuries should pay attention on issues such as reducing ALOS to run the organization effectively.

• Journal of Preventive Medicine and Public Health
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• v.17 no.1
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• pp.37-45
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• 1984

This study was conducted to identify the problems in the medical aid program by reviewing the medical care utilization pattern of the beneficiaries. The data were abstracted from the monthly bills and vouchers for medical care of the whole benefi챠aries(17,527) in Gyeongsan Gun submitted by the physicians to county government for the period of 1 calendar year from October 1981 to September 1982. The number of medical aid beneficiary accounted for 12.7% of the total county population, a higher proportion than the national average-9.5%. Monthly primary care utilization rate per 100 beneficiaries was 9.3 persons with 14.0 visits and 42.9 medication days. for the 2nd and 3rd care, there were 1.7 admissions and 9.3 OPD visits per 100 beneficiaries per year. The beneficiaries of the first class medical aid program had a higher utilization rate of both the primary and secondary/tertiary care facilities. Females utilized more the primary care facilities than males while males utilized more the secondary/tertiary care facilities than females. A significantly lower utilization rate was observed in January than in the other months and this was seemed due to the renewal process of the medical aid certificate. Among 1,931 patients utilized the 2nd/3rd care facilities 84.4% was out-patients and the lowest ratios were in the minor specialties including ENT, ophthalmology, dermatology and urology. The average hospital days per in-patient were 21.2 days and OPD days per out patient were 4.7 days. The average hospital days for a psychiatry in-patient was 74.4 days which was the longest average hospital days among all the specialties. Average medical care cost per beneficiary in a year was W9,821:W24,240 for the 1st class and W7,464 for the 2nd class. The medical care cost for the primary care per patient was W3.901 and W840 per day compared with W49,875 per patient and W5,822 per day for the secondary/tertiary care. From the findings of this study following recommendations were made to improve the medical care program: 1) The renewal process of the medical care certificate should be expedited. 2) Minor specialty clinics should be designated as the primary medical care facility for the medical aid program to reduce the expenses by absorbing more patients referred to the secondary/tertiary care facilities directly. 3) The medical care cost for the primary care facility should be escalated to reduce the differential between the primary and secondary/tertiary care facilities.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.61-68
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• 2017

This study investigates the differences in medical practices and medical cost according to auto insurance companies based on 8,589,602 cases that were treated by auto insurance corporation for the year of 2015, from the beginning of January to the end of December. The results of this study can be summarized following. First, in terms of the general characteristic in medical treatment, especially the age, the highest figure in both non-life insurance and mutual aid cooperative was shown in the age of 50 to 59 at 22.8 per cent(p<0.001). Second, in terms of a medical cost per a hospital care, classified by clinic, the costs in the department of internal medicine were much higher than those in the surgical department, and the thoracic surgery among parts of the surgical department showed the highest figures in both non-life insurance and mutual aid cooperative. According to the above summarized results of this study, it can be concluded that Health Insurance Review and Assessment Service has to address the problem on the increase of unnecessary costs and the occurrence of social expenses caused by the delay of patients' rehabilitation and return to their daily lives, by carrying out the evaluation for the appropriateness to organizations that ask for payments of auto insurance.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.88-100
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• 1992

This study was conducted to assess the effects of implementation of the patient referral system started July 1st, 1989. A comparison on the pattern of outpatient services of the Departments of Internal Medicine, General Surgery, and Pediatrics at the Yeungnam University Hospital was conducted for each one year period before and after implementation of the patient referral system. The pre-implementation period was from July 1, 1988 to June 30, 1989 and the post-implementation period was from July 1, 1989 to June 30, 1990. The information used for this study was obtained from official forms, prepared by the Yeungnam University Hospital, and submitted to the Korean Medical Insurance Cooperatives. After implementation of the patient referral system, the number of outpatient cases in the Department of Internal Medicine decreased 36.1% from 9,669 cases to 6,181 cases a year. Cases in the Department of General Surgery decreased 23.7% from 1,864 cases to 1,422 cases a year. The number of cases in the Department of Pediatrics decreased 36.9% from 3,372 cases to 2,128 cases a year. After implementation of the patient referral system, the average age of cases in the Departments of Internal Medicine and General Surgery was 52.5 and 49.7 years old, respectively. This was a significant increase in comparison with the pre-implementation period. After implementation of patient referral system, the proportion of new outpatients in the Department of Internal Medicine decreased from 24.1% to 14.6%, the Department of General Surgery from 36.0% to 23.4%, and the Department of Pediatrics from 15.5% to 8.3%. The number of visits per case decreased significantly in the Department of Internal Medicine(from 1.74 to 1.61), but there was no significant change in the Departments of General Surgery and Pediatrics. The length of treatment per case increased significantly in all three departments(from 16.1 days to 19.3 days in the Department of Internal Medicine, from 12.0 days to 15.2 days in the Department General Surgery, and 8.9 days to 11.2 days in the Department of Pediatrics). The number of clinical tests per case increased significantly in the Department of Internal Medicine (from 2.2 to 2.5), in the Department of Pediatrics(from 0.8 to 1.1) and increased in the Department of General Surgery(from 6.4 to 6.6). The average medical cost per case decreased from 43,900 Won to 42,500 Won in the Department of Internal Medicine, while the cost increased from 75,900 Won to 78,500 Won in the Department of General Surgery and from 12,700 Won to 13,500 Won in the Department of Pediatrics. In case-mix, the chronic degenerative disease(i. e. hypertension, diabetes mellitus, angina pectoris, malignant neoplasm, and pulmonary tuberculosis) ranked higher and acute infectious diseases and simple cases(i. e. gastritis and duodenitis, haemorrhoids, anal fissure, carbuncle, acute URI, and bronchitis) ranked lower after implementation of the patient referral system compared to before implementation.

• Journal of Preventive Medicine and Public Health
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• v.23 no.2 s.30
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• pp.216-223
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• 1990

To identify the factors influencing the charges per case of acute appendicitis and normal spontaneous vaginal delivery (NSVD), the personal data-base files and hospital-characteristics-reporting data files of Korea Medical Insurance Corporation were analyzed. One hundred and twenty-nine institutions were selected. The results of this study were as follows 1. The differences of charges per case with respect to hospital ownership, location, and equipment levels were statistically significant. 2. The results of multiple regression analysis revealed that bed capacity was the most significant variable in both diseases. 3. Ownership was significant variable in acute appendicitis. In NSVD, ownership and hospital equipment level were statistically significant. In conclusion, bed capacity was statistically the most significant variable in the analysis of charages per case. And we thought that the results of this study would influence the policy of the hospital bed supply.