• Health Policy and Management
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• v.9 no.2
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• pp.95-117
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• 1999

The purposes of the study was to analysis the factors on the physicians' indemnity experience and indemnity on malpractice. Data was collected from mail interview for the physicians from August, to October in 1996. Questions were asked to the physician who selected with random sample(n=8.338) about the opinion of malpractice insurance. experience that he(she) have requested the indemnity from patience. context of experienced indemnity and demographic characteristics of physician and patience. Response rate is 37.5%(n=3,124). This study was analyzed in two levels' the first. influential factors on whether physician has experience of indemnity and the second. influential factors of indemnity among physicians who had experienced the indemnity. The major findings were as follows : 1. Logistic regression on whether physicians had experience of indemnity request was conducted. And it indicated that statistically meaningful variables of model 1 (about all physicians) were department of surgery, physicians who have intention of insurance fee, physician age and income, physicians who owned the hospitals and statistically meaningful variables of model 11 (about physicians who owned the hospital) were department of surgery and internal treatment. 2. Multiple regression on the influential factors on indemnity was conducted. And it showed that statistically meaningful variables in model 1 were method of malpractice quarrel(physician association), whether physician had malpractice, whether suit succeeded, physician age, average practice time and income and whether physician owned the hospital and statistically meaningful variables of model 11 were whether physician had malpractice, number of outpatient, number of beds. As the conclusion, the thesis was examined about the variables related with experience of indemnity and cost of malpractice. But in order to prevent malpractice and promote medical quality, the reasonable system to solve a malpractice have to settle and cost estimation on malpractice is essential. Therefore an advanced research is progressed with methodology to decide the indemnity bases.

• Health Policy and Management
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• v.9 no.2
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• pp.118-138
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• 1999

This study presents the variations on drug utilization for outpatients' URI, gastritis. and hypertension by the type of hospital- tertiary hospital. general hospital. hospital. clinic. It investigated drug expenses. daily drug expenses. days of medication. the highest price of the drugs used. and the number of the different drugs used for each disease and type of hospital. This study also performed analysis to see how much the variations of variables related to drug use affect the variations of drug expenses. The dependent variable was drug expenses and the independent variables were days of medication. the average price of the drugs used. and the number of the different drugs used. Analysis of the drug utilization was performed on NFMI(National Federation of Medical Insurance) 1994 medical expense claim data. Patients with secondary diseases were excluded. In this study. 379 patients with URI, 386 patients with gastritis. 1.257 patients with hypertension were included. It was founded that there were large variation on drug utilization between the types of hospital for same diseases. Days of medication were longest in tertiary hospitals and shortest in hospitals or clinics. Clinics showed the lowest daily drug expenses in all of the diseases investigated. Daily drug expenses were highest in general hospitals or hospitals. which also tended to use drugs of higher price than other types of hospital. General hospitals and hospitals had larger variations in daily drug expenses and the highest price of drugs. It suggested that drug might be utilized overly in general hospitals and hospitals and some other factors might influence on drug utilization in these hospitals. It was found that the variations of drug expenses were affected by the variations of drug price and days of medication rather than the number of the different drugs. Then the strategy to reduce the variations of drug utilization and to improve the quality of drug utilization should focus on the drug price and days of medication. Further study is needed to assess the quality as well as the variation of drug utilization and to show the factors which affect them.

• Health Policy and Management
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• v.26 no.2
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• pp.107-114
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• 2016

Background: Over the last few decades, because hospitals in South Korea also have undergone dramatic changes, Korean hospitals traditionally have provided specialized health care services in the health care market. Inner Herfindahl-Hirschman Index (IHI) measures hospital caseloads based on patient proportions, independent of patient volumes. However, IHI that rely solely on patient proportions might be problematic for larger hospitals that provide a high number of diagnosis categories, as the patient proportions in each category are naturally relatively smaller in such hospitals. Therefore, recently developed novel measure, category medical specialization (CMS) is based on patient volumes as well as patient proportions. Methods: We examine the distribution of hospital specialization score by hospital size and investigate association between each hospital specialization and length of stay per case and hospital cost per case using Korean National Health Insurance Service-cohort sample data from 2002 to 2013. Results: Our results show that IHI show a decreasing trend according to the number of beds and hospital type but CMS show an increasing trend according to the number of beds and hospital type. Further, inpatients admitted at hospitals with higher IHI and CMS had a shorter length of stay per case (IHI: B=-0.104, p<0.0001; CMS: B=-0.044, p=0.001) and inpatients admitted at hospitals with higher IHI and CMS had a shorter hospital cost per case (IHI: B=-0.110, p=0.002; CMS: B=-0.118, p=<0.0001). Conclusion: This study may help hospital policymakers and hospital administrators to understand the effects of hospital specialization strategy on hospital performance under recent changes in the Korean health care environment.

• Health Policy and Management
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• v.20 no.2
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• pp.40-52
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• 2010

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.

• Health Policy and Management
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• v.19 no.4
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• pp.66-77
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• 2009

This study aims to examine the effect of socioeconomic status (hereafter, SES) on healthcare utilization of the patients with rare and incurable diseases. Information of 2,973 patients who were self-employed insured and utilized healthcare service in 2007 was drawn from the National Health Insurance (hereafter, NHI) claim data. SES was set as four groups based on the monthly contribution. Outcome variable was the expense for outpatient and in-hospital services, which was log-transformed and square-rooted in oder to obtain normal distribution. Covariates included age, gender, residence and diagnosis. To examine the effects after controlling for covariates, we employed generalized estimating equation model, since patients with the same diagnosis are likely to have similar characteristics of demographics and healthcare utilization. Univariate statistics showed that lower SES was associated with less utilization of healthcare services. After controlling for covariates, a significantly smaller amount of money was expended for the lowest SES group compared to the highest one. Rural residence was associated with less utilization, except that residents in Seoul significantly more utilized outpatient services in tertiary hospitals. Considering that there is a subsidy program for the low income patients, such differences in healthcare utilization according to SES seems to result from the burden of out-of-pocket payments for uncovered services of the NHI.

• Health Policy and Management
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• v.17 no.2
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• pp.33-51
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• 2007

The disabled population is a vulnerable group, having very complex medical conditions, but little is known about differences in the level of access by type of disability. This study was performed to investigate the differences of health care utilization by the type of disability. The database was constructed from registry of the disabled and health insurance and medical aid claims data submitted to the Korea Health Insurance Cooperation during in the year 2003. The disability classified three groups according to the Disabled Welfare Act; physically disability with external dysfunction, physically disability with organic disease, and mentally disability. There were huge differences in health care utilization by the type of disability. For the inpatient care, those with a mental disability were more likely to utilize health care services in terms of average visit number of medical facilities and visit days per case, but the treatment amount per case was the highest in physically disabled with organic disease. For the outpatient care, those who the physically disabled with organic disease were more likely to utilize health care services in terms of average visit number of medical facilities, treatment amount per case, and the treatment days per case. Also, those who physically disabled with organic disease were more likely to utilize general hospital for both inpatient and outpatient care, and spent more out-of-pocket expenditure. As the number of persons with disabilities rises, the need to consider new approaches to protecting their health grows increasingly. Especially, Korean health care system should be refined to be more responsive to the needs of the type of disability.

• Health Policy and Management
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• v.17 no.2
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• pp.68-90
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• 2007

Nurse staffing level is an important factor that influences the quality of health service and patient outcomes. This study was carried out to examine the current state of acute hospital nurse staffing and find out factors that affect the nurse staffing level. Nurse staffing of individual hospitals was measured using the number of registered nurses per 100 beds. Descriptive and multiple regression analyses were conducted using 592 acute care hospitals' data. Regression model included structure factors such as referral level, ownership, medical and general staffing, and financial outcome factors such as occupancy rate, inpatient and outpatient revenues. Market characteristics included strength of competition, supply of nurses, and income and health status level of consumers. The average number of nurses per 100 beds was 28 and showed a great variation according to the referral level. Regression model explained this variation as much as 76.87%. Hospital structure variables which affecting the hospital nurse staffing level positively were ICU bed ratio, the staffing level of specialist, training doctor and employees except doctor and nursing personnel, while the negative factor was nurse aid staffing level. General hospitals employed more nurses than hospitals. Among outcome characteristics, occupancy rate and the amount of health insurance inpatient revenue affected positively on the hospital nurse staffing level. The more supply of the new nurse and the higher consumer income and health status in the medical service markets, the more nurses were employed by the medical institutes. According to the study result, hospitals employed more nurses when they had more financial incentive by increasing nurses. This means appropriate hospital incentive policy and regulation policy, which hospital violate nurse staffing level have to pay penality, should be needed. Clarifying job description between nurses and nurse aids and the reentry program for unemployed experienced nurses will be helpful to increase nurse staffing level.

• Health Policy and Management
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• v.18 no.4
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• pp.85-110
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• 2008

In this study, we explore the long-term demand forecasting of high-price medical equipments based on logistic and Bass diffusion model. We analyze the specific pattern of each equipment's diffusion curve by interpreting the parameter estimates of Bass diffusion model. Our findings are as follows. First, ultrasonic imaging system, CT are in the stage of maturity and so, the future demands of them are not too large. Second, medical image processing unit is between growth stage and maturity stage and so, the demand is expected to increase considerably for two or three years. Third, MRI is in the stage of take-off and Mammmography X-ray system is in the stage of maturity but, estimates of the potential number of adopters based on logistic model is considerably different to that based on Bass diffusion model. It means that additional data for these two equipments should be collected and analyzed to obtain the reliable estimates of their demands. Fourth, medical image processing unit have the largest q value. It means that the word-of-mouth effect is important in the diffusion of this equipment. Fifth, for MRI and Ultrasonic system, q/p values have the relatively large value. It means that collective power has an important role in adopting these two equipments.

• Health Policy and Management
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• v.18 no.1
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• pp.85-107
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• 2008

This study aims to describe levels and distribution of the continuity of primary care among children and adolescent patients who are 2-19 years old, and analyze the effects of it on the risk of hospitalization. Study population was 2-19 year old child and adolescent patients as of 2002, who had more than three ambulatory care visits in the years of 2002-3 and whose most frequent provider was the primary care practices (189,660 persons). Association of levels of primary care with the risk of hospitalization was evaluated using multiple event survival analysis. Outcome variables were whether the patient had hospitalized or not, and whether the patient had hospitalized due to ambulatory care-sensitive conditions or not. Multiple event survival analysis revealed statistically significant association of the levels of primary care with the risk of hospitalization. Hazard ratio was 1.34 [1.27-1.41] at the medium level of continuity and 1.47 [1.39-1.55] at the lower level where outcome variable was whether the patient had been hospitalized or not. Hazard ratios were 1.35 [1.21-1.50] at the medium level of continuity and 1.60 [1.44-1.78] at the lower level, where outcome variable was whether the patient been had hospitalized due to ambulatory care-sensitive conditions or not. This study produced some evidences on the benefits of continuity of care, which will in turn support the introduction of personal doctor registration program in the future.

• Health Policy and Management
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• v.24 no.1
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• pp.35-46
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• 2014

Background: This paper describes the relationship and effect of health examination on personal medical cost by identifying the difference of the cost for medical care in physician visit between the population without and with health examination. Methods: After classifying into three cohorts in which, independent variables were designed according to the Andersen's behavioral model, the association of personal medical cost for medical care and prescription drugs which is dependent variable was analyzed by t-test and Mann-Whitney test for description and gamma regression model for inference. Results: In personal average medical cost, the population with health examination paid significantly more than without health examination, 11.6% more in cohort 2008, 26.6% more in cohort 2009, and 48.0% more in combined cohort. The odds ratio on medical expenditure of outpatients with health examination was 1.067, 1.126, 1.398 significantly in cohort 2008, 2009, and combined cohort respectively, comparing to the group without health examination. In independent variables, that is female, the elderly, never married, non-working, non-metropolitan, the higher family income, the smaller family size, people with disability, the people with chronic disease, and people with health examination have significantly being paid more tendency showing positive association with medical cost. Conclusion: This result showed that medical expenditure in physician visit has been increased after taking a health examination. Therefore reasonable limitation of getting preventive medical service is suggested to avoid medical shopping around and reduce being repeated health examination by unifying control to find out easily the clinical results from various medical facilities.