• 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.

• Journal of Korean Clinical Health Science
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• v.1 no.1
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• pp.9-17
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• 2013

Purpose. This study is to find the degree of variations and trends of hospital services utilization for hypertensive disease, and have done the comparative analysis of the factors affecting occurring some variations. For this, this study uses the data for patients-survey and health-survey of a regional society by Korea Institute for Heath and Social Affairs in 2008; The regional units are classified into 160 of medium size medical service areas. Methods. I understand the level of variation by using index of Extremal Quotient(EQ) and Coefficient Variation(CV), and analyze critical factors influencing some differences in hospital services utilization by using multi-regression model. Results. The main results are followed:The first, in case of rate of hospital services utilization according to standarization of sex and age by small area, I find the variations of EQ 5.3 and CV 0.3; In Ho-nam, especially, the variation of high rank of 10 of age shows higher distribution. The second, the results analyzing the factors influencing on hospital services utilization by multi regression model are that a number of bed hospitals is significant positive relationship and EQ-5D of health behavior is significant negative one. Conclusions. To increase equity of hospital services utilization for hypertensive disease, this study requests the appropriate supply management of bed hospitals by region, efficient allocation of resources, and revitalization of the health promotion program.

• Health Policy and Management
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• v.18 no.4
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• pp.148-169
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• 2008

As the Korean Government began to perceive healthcare as one of foundational industries for national dynamics, there has been mounting advocacy for the introduction of for-profit hospitals with a view to bringing efficiency in healthcare services industries and improvement of their international competitiveness. The Government is now considering the issue from all angles in favor of permitting for-profit hospitals. However, There have been few precedent studies on this subject to provide helpful data for the discussion and in the health policy making. This study used private hospitals - for-profit and nonprofit - in Florida, USA as study subjects to accumulate basic data that may be utilized for those involved in debates and health policy making relating to the introduction of for-profit hospitals in Korea. Among all the private general hospitals in Florida, those surveyed by AHA(American Hospital Association) for four consecutive years from 2001 and 2004 and others reported about to MCR(Medicare Cost Report) included in the collected data for analysis. In total 139 private general hospitals consisting of 73 for-profit hospitals and 66 nonprofit hospitals were included in the collected analysis data. Results of analysis revealed no significant difference between for-profit hospitals and nonprofit hospitals in the usage aspects of healthcare services including the average length of stay and the ratio of Medicare vs Medicaid patients. However, financial performances indicated by such factors. as the pre-tax return on assets and the pre-tax operating margin showed to be significantly higher in for-profit hospitals compared with nonprofit hospitals. And the ratio of personnel expenses and the turn period of total assets showed to be significantly lower in for-profit hospitals. Based on the hypothesis that arguments about the introduction of for-profit hospitals have considerably different viewpoints depending on the size of hospital represented by the number of bed, these two hospital types were compared again using the number of beds as a controlled factor, but the results were similar. We, therefore, could conclude that the for-profit hospitals in Florida included in this study could, in their for-profit operation, improve their financial performance by pursuing cost reduction and effectively utilizing their assets without limiting the amount and the range of their services or avoiding less medically protected groups such as Medicare and Medicaid patients.

• Korea Journal of Hospital Management
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• v.27 no.1
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• pp.20-30
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• 2022

Purposes: This study purposed to evaluate the effect of a value incentive program(VIP) on the in-hospital mortality of acute stroke. Methodology: Study period was from January 2010 to December 2018. This study included 63 hospitals for acute hemorrhagic stroke that the mortality rate per month was more than one during study period. Independent variables were time variables and hospital characteristics such as hospital type, district and bed number. Interrupted time series analysis was applied to analyze the data. Findings: In case of general hospitals, the in-hospital mortality rate per month for acute hemorrhagic stroke tends to be increased by 0.03% in overall study periods but decreased by 0.32% after the implementation of the policy. On the other hand, tertiary hospital changes are not statistically meaningful. Conclusion: This study provides evidences how the VIP was effective in improving quality of acute hemorrhagic stroke care. General hospitals showed higher policy effect compare to that of tertiary hospitals.

• Health Policy and Management
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• v.4 no.1
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• pp.107-122
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• 1994

Many alternatives have been discussed to reduce the medical expenditure and to use the medical resources effectively. Many studies about the economies of scale have been done for the last several decades. This study has analyzed the relationship between the number of beds and the mean expense per hospitalization day in Korea. A Cost Function Model was identified and we wanted to see the minimum optimal size with the cheapest mean expense per hospitalization day. The result is as follows; 1. In the Cost Function Mode, (the number of beds)$^{2}$, the number of personnel, productivity and training institutions are the factors that statisticaly influence the mean expenses. 2. By the univariate analysis the mean expense proved to be the smallest as the level of 150-200bed, The breaked down of the components of expenses shows that the mean labor cost is much different from the mean value of material and administration costs, and that hospital with 150-200 beds also have the minimal expense. The mean expense goes up dramatically in hospitals of 450 beds or more. 3. When the other conditions are constant, according to the multiple regression analysis of the mean expense per adjusted hospitalization day the minimum optimal size with the cheapest expense is a hospital with 191 beds and the hospital with 230 beds takes the lowest mean labor cost. The material or administration costs are not influenced by hospital size. This research has limitation in measuring the variables that influence hospital xpenses, in estimating hospital output by the number of beds in considering outpatient cost and in securing representativeness of hospitals because many hospitals made no responses to the research questionnare. But it is valuable and helpful for development of health policy to figure out the number of beds with the cheapest expense per hospitalization day.

• Health Policy and Management
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• v.29 no.1
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• pp.27-39
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• 2019

Background: This study is designed to estimate the factors that affect the level of three different performance (publicity, efficiency, profitability) among regional public hospitals. Methods: The units of analysis are the regional 30 hospitals, which have the operating data during 22 years (from 1933 to 2014). The research method is used by fixed panel analysis. The publicity is measured by medicaid outpatient proportion and medicaid inpatient proportion. The efficiency is measured by two types of efficient score by DEA (data envelopment analysis). The profitability is measured by medical income to medical revenue and ROA (return on total asset). Results: At first, the increase of bed gives negative affect to the publicity but give positive effect to the efficiency and profitability. Because it means the increase of the region population, it gives more profitability compare to hospital with small number of beds. The more the operating period is the higher effect to the publicity and efficiency because of it's refutation. The debt ratio gives negative effect to publicity, but positive effect to profitability. It is the normal belief that there is inverse relationship between publicity and profitability. The turnover rate of bed gives the negative affect to the publicity, but positive affect to the efficiency and profitability. That give us the implication that type of the inpatient make different effect the hospital performance. The ratio of labor cost give negative effect to all kind of performance. That means that the higher labor cost don't mean the higher publicity and labor cost control is very important factors to hospital performance. So the region hospital have to focus the labor factors more to make higher performance. Conclusion: As the conclusion, the independent variables give similar effect to the efficiency and the profitability, but give inverse effect to the publicity. That means that if an region hospital want to make the more publicity, it loss the higher efficiency and profitability. Specially publicity is higher negative relation with the profitability.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.1
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• pp.37-44
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• 2024

Purpose: The planning of medical facilities involves formulating a comprehensive medical basic plan, translating it into spatial dimensions through a space program. Feasibility assessment often relies on empirical methods like floor area per bed. However, with the shift towards specialized medical concepts, proportional scaling to bed numbers is challenging. This study proposes scale planning improvements during the feasibility assessment stage for comprehensive hospitals, analyzing cases using area determination factors and standard areas based on medical resources. Methods: The Korean Development Institute's Public Investment Management Center (KDI) identified issues in the scale determination of medical facilities in the Preliminary Feasibility Study Guidelines and investigated alternative approaches for determining the scale of a case that passed the preliminary feasibility study in 2019. The study assessed the feasibility of applying individual factors to determine not only the number of beds but also the scale at the sector and department levels. Additionally, a statistical analysis was conducted to examine the correlation between the total number of beds and various area determination factors. Results: Results suggest a strong correlation between total beds and major equipment needs, but in hospitals with <500 beds, this correlation weakens. Ward section scale is better calculated per ward type, not just total beds. Outpatient department scale depends on specialists, influencing treatment room numbers. Medical personnel play a crucial role in determining the scale of sections like rehabilitation therapy rooms, operating rooms, dialysis rooms, and overall facility scale.

• Korea Journal of Hospital Management
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• v.12 no.3
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• pp.47-67
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• 2007

This paper aims at suggesting several ways lo change financial vulnerability and to improve managerial capability of local public hospitals (LPHs) in Korea through the identification of factors affecting profitability. Several findings of the research are as follows: To begin with, LPHs exhibited a statistically significant difference in their profitability from one another, according to tile analyses of their profitable margins from tile general characteristics. It depends on the number of hospitals in the area, the population of the hospital-built area, the number of competing hospitals, the number of staff per 100 beds, the opening of special clinic, the educational function, and the capacity of rooms. However, there was no variable in the managerial characteristics, presenting a significant difference, in contrast with hospitals which have been managed by private companies and made a great amount of profits. Second, according to the analyses of profit differences in behavioral effort-characteristics, a statistically significant difference was revealed upon the basis of the efforts to improve the clinic service, invite special patients, and shorten the period of being hospitalized. Third, the result of analyses about the difference of profitability from medical care and finance is statistically significant in the rate of labor cost, the rate of management cost, bed-occupancy rate, and the period of being hospitalized. Fourth, according to the analyses of the factors influencing the net profit ratio of the entire capital, Adjusted explanatory power(Adjusted $R^2$) was shown up to 65.2%, which is high. To compare the adjusted explanatory power stage by stage, the first stage model applying only two variables such as structural and strategic characteristics exhibited 23.8%, and the second stage model adding financial characteristics showed 51.5%. The explanatory power was much improved up to 65.2% when the third stage model incorporated the outcome of medical care performance. When the return on investment(ROI) was examined by using the multi-variate linear regression analysis at the final model of third stage, it was found that ROI had a positive relationship with the increase rate of patients, labor costs per doctor, and medical care rate of socially protected inpatients. However, it revealed that ROI had a negative relationship with the ratio of labor costs, the number of patients per managerial staff, and occupancy rate of rooms, respectively. The research suggests that in order for LPHs to increase profitability, LPH, should make efforts not only to attract patients to the hospitals without any discrimination of the patients depending on their financial status, but also to develop efficient management methods to reduce labor costs.

• Journal of The Korea Institute of Healthcare Architecture
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• v.24 no.3
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• pp.7-15
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• 2018

Purpose: The purpose of this study is to suggest the improvement of the architectural planning of public hospitals by analyzing the contents of the architectural planning and the trend of the recent ward planning. Methods: The study method was the drawing analysis of the wards in the public hospitals where facilities were improved including the ward-related literature survey. The scope of the study was the general wards. Results: As a result of the study, the area composition of the ward area, the number of beds per nursing unit, the floorplan types, and the unit space planning which is included the room composition, the room size, the bed clearance areas, and the improvements of the nursing space were suggested. Implications: The result of this research would be useful as a reference to design nurse area in the wards.

• Korea Journal of Hospital Management
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• v.9 no.1
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• pp.66-94
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• 2004

The objective of this study is to examine how to maximize the efficiency of hospital management by minimizing the unit cost of hospital operation. For this purpose, this paper proposes to develop a model of the profit maximization based on the cost minimization dictum using the statistical tools of arriving at the maximum likelihood values. The preliminary survey data are collected from the annual statistics and their analyses published by Korea Health Industry Development Institute and Korean Hospital Association. The maximum likelihood value statistical analyses are conducted from the information on the cost (function) of each of 36 hospitals selected by the random stratified sampling method according to the size and location (urban or rural) of hospitals. We believe that, although the size of sample is relatively small, because of the sampling method used and the high response rate, the power of estimation of the results of the statistical analyses of the sample hospitals is acceptable. The conceptual framework of analyses is adopted from the various models of the determinants of hospital costs used by the previous studies. According to this framework, the study postulates that the unit cost of hospital operation is determined by the size, scope of service, technology (production function) as measured by capacity utilization, labor capital ratio and labor input-mix variables, and by exogeneous variables. The variables to represent the above cost determinants are selected by using the step-wise regression so that only the statistically significant variables may be utilized in analyzing how these variables impact on the hospital unit cost. The results of the analyses show that the models of hospital cost determinants adopted are well chosen. The various models analyzed have the (goodness of fit) overall determination (R2) which all turned out to be significant, regardless of the variables put in to represent the cost determinants. Specifically, the size and scope of service, no matter how it is measured, i. e., number of admissions per bed, number of ambulatory visits per bed, adjusted inpatient days and adjusted outpatients, have overall effects of reducing the hospital unit costs as measured by the cost per admission, per inpatient day, or office visit implying the existence of the economy of scale in the hospital operation. Thirdly, the technology used in operating a hospital has turned out to have its ramifications on the hospital unit cost similar to those postulated in the static theory of the firm. For example, the capacity utilization as represented by the inpatient days per employee tuned out to have statistically significant negative impacts on the unit cost of hospital operation, while payroll expenses per inpatient cost has a positive effect. The input-mix of hospital operation, as represented by the ratio of the number of doctor, nurse or medical staff per general employee, supports the known thesis that the specialized manpower costs more than the general employees. The labor/capital ratio as represented by the employees per 100 beds is shown to have a positive effect on the cost as expected. As for the exogeneous variable's impacts on the cost, when this variable is represented by the percent of urban 100 population at the location where the hospital is located, the regression analysis shows that the hospitals located in the urban area have a higher cost than those in the rural area. Finally, the case study of the sample hospitals offers a specific information to hospital administrators about how they share in terms of the cost they are incurring in comparison to other hospitals. For example, if his/her hospital is of small size and located in a city, he/she can compare the various costs of his/her hospital operation with those of other similar hospitals. Therefore, he/she may be able to find the reasons why the cost of his/her hospital operation has a higher or lower cost than other similar hospitals in what factors of the hospital cost determinants.