• Health Policy and Management
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• v.5 no.2
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• pp.18-34
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• 1995

To clarify the relationship between the medical supply(medical persons and goods) and the use of bed, the author has made comparison among OECD 24 countries. Per Capita Bed-days can be divided into Average Length of Stay and Admission Rate, and these three variables were regressed upon both In-patient Care Beds of all medical institutions including acute somatic, psychiatric, special, nursing homes and other long-term care and Share of Total Health Employment in Total Employment. The result of regression analysis shows a statistically significant positive relationship between In-patient Care Beds and Average Length of Stay, and negative relationship between Share of Total Health Employment and Admission Rate. In addition to Ordinary Least Square(OLS) estimation, amended Bounded Influence Estimation(BIE) was also made to adjust the influence of outliers. Japan shows a very large number of In-patient Care Beds and a very low Share of Total Health Employment, and this medical situation is judged to have close relation to her long Average Length of Stay and low Admission Rate.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.39-51
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• 2016

Objectives : This study investigated the health care utilization patterns of workers' compensation insurance(WCI) pneumoconiosis patients with excessively long hospital stays. Methods : The discharge summary data of 3,094 WCI pneumoconiosis patients were analyzed. The study sample was divided into 3 groups based on the length of stay(LOS). Health care utilization patterns were compared among the groups with logistic regression analysis, and the LOS determinants were identified with linear regression analysis. Results : The average LOS of the 222 long stay group patients was 1,448 days. Patients in this group tended to use private general hospitals, were admitted through the emergency room and discharged without the consent of a doctor. Conclusions : Many of the long LOS patients will maintain their inpatient status for the rest of their lives. For quality of life and efficient use of health care resources, policy makers need to establish a policy that enables patients to receive outpatient care in appropriate living conditions outside the hospital.

• Journal of Internet of Things and Convergence
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• v.3 no.2
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• pp.21-32
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• 2017

This study is a descriptive investigation for understanding factors influencing the length of stay in the postanesthesia care unit of elderly patients. Retrospective investigation was conducted on 300 patients aged 65 or older among those who had received an operation under general anesthesia and treated in postanesthesia care unit of hospital C located in Gyeonggi-do, from January 1 to December 31, 2014. The patients' average postanesthesia care unit stay was found to be 48.4 minutes and the 30-59 minute section accounted for the highest part with 58.0%. The postanesthesia care unit stay time according to intra-operative factors showed significant differences depending upon muscle relaxants, transfusion, ABGA, body temperature and total hours under anesthesia. Concerning the post anesthesia care unit stay length according to post-operative factors, significant differences were observed depending upon complications, PCA device, and circulatory drug use. In order to find out factors influencing the post anesthesia care unit stay length, the multiple regression analysis was conducted. As a result, the circulatory drug use and intra-operative lower body temperature were found to have an effect on the post anesthesia care unit stay length with the total explanatory power of 13%. Based on these findings above, it is deemed helpful to carefully monitor factors related to the post anesthesia care unit stay length and provide swift response accordingly for shorter post anesthesia care unit stay time of elderly general anesthesia patients.

• Journal of Home Health Care Nursing
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• v.7 no.1
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• pp.58-72
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• 2000

This study was an attempt to encourage the development of a rehabilitation delivery system and programs as a substitute service for hospitalization on the case of car accident patients, such as hospital based home health care nursing services. Various substitute services for hospitalization are required to curtail the length of stay for inpatients who were hospitalized with car accident compensation insurance. It focused on developing an estimation an early discharge day for car accident inpatients based on detailed statements of treatment for 111 inpatients who were hospitalized at the General Hospital in 1997. This study had four specific purposes as follows. First. to find out the utilization of medical services. Second, to estimate the time of early discharge and income increasing effect based on early discharge for those patients. Third, to identify the factors affecting total medical expenditure and the length of stay for those inpatients. Forth, to figure out the need of utilizing home health care nursing service for accident patients. In order to analyze the length of stay and medical expenditure for inpatients who were hospitalized due to car accidents, the authors conducted micro- and macro-analysis of medical and medical expenditure records. Micro-analysis was done by nominal group discussion of 4 expertise with the critical criteria, such as a decrease in the amount of treatment after surgery, treatments, tests, drugs and changes in the test consistency, drug methods, vital signs, start of ROM exercise, doctor's order, patient's outside visiting ability, and stable conditions. In addition to identifying variables affecting medical expenditure, and the length of stay and income effect due to early discharge day, the data was analyzed with a multiple regression analysis and linear regression analysis model by SPSS-PC for windows and Excell program. Results of this study were as follows. First. the mean length of stay was 50.3 days. whereas the mean length of stay due to early discharge was 34.3 days at the hospital. The estimation of time of early discharge depended on the length of stay. The longer the length of stay, the longer the length of time of early discharge : for instance a length of stay under 10 days was estimated as correlating to a mean length of stay of 6.6 days and early discharge of 6.5. The mean length of stay was 217.4 days and the time of early discharge was 110.1 respectively. The mean medical expenditure per day was found to be 169.085 Won and the mean medical expenditure per day showed negative linear trends according to the length of stay at the hospital. The estimation results of the income effect due to being discharged 16 days early was around 2,244,000 won per bed. However. this sum does not represent the real benefits resulting from early discharge, but rather the income increasing amount without considering medical prime cost in the general hospital. Therefore, further analysis is required on the cost containments and benefits as turn over rate per bed as the medical prime costs. The length of stay was most significant and was positive to the total medical expenditure, as expected. Surgery and patient's residential area was also an important variable in explaining medical expenditure. The level of complications was the most significant variable in explaining the length of stay. There was a high level for need a home health care nursing service which further supports early discharge for accident patients. In addition, when the patient was discharged. they needed follow up care for complications suffered during the car accident. $86.8\%$ of discharged patients responded that they needed home health services after early discharge. From these research findings, the following suggestions have been drawn. Strategies on a health care delivery system must be developed in order to focus on the consumer's needs and being planned for 21 century health policy in Korea. Community based intermediate facilities or home health care should be developed for rehabilitation services as a substitute for hospitalization in order to shorten the length of stay would be. A hospital based home health care nursing service. it would be available immediately to utilize by patients who want rehabilitation services as a substitute for hospitalization with the cooperation of car insurance companies.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.97-101
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• 2012

Objective: With the background of aging population in China and advances in clinical medicine, the amount of operations on old patients increases correspondingly, which imposes increasing challenges to critical care medicine and geriatrics. The study was designed to describe information on the length of ICU stay from a single institution experience of old critically ill gastric cancer patients after surgery and the framework of incorporating data-mining techniques into the prediction. Methods: A retrospective design was adopted to collect the consecutive data about patients aged 60 or over with a gastric cancer diagnosis after surgery in an adult intensive care unit in a medical university hospital in Shenyang, China, from January 2010 to March 2011. Characteristics of patients and the length their ICU stay were gathered for analysis by univariate and multivariate Cox regression to examine the relationship with potential candidate factors. A regression tree was constructed to predict the length of ICU stay and explore the important indicators. Results: Multivariate Cox analysis found that shock and nutrition support need were statistically significant risk factors for prolonged length of ICU stay. Altogether, eight variables entered the regression model, including age, APACHE II score, SOFA score, shock, respiratory system dysfunction, circulation system dysfunction, diabetes and nutrition support need. The regression tree indicated comorbidity of two or more kinds of shock as the most important factor for prolonged length of ICU stay in the studied sample. Conclusions: Comorbidity of two or more kinds of shock is the most important factor of length of ICU stay in the studied sample. Since there are differences of ICU patient characteristics between wards and hospitals, consideration of the data-mining technique should be given by the intensivists as a length of ICU stay prediction tool.

• Clinical and Experimental Pediatrics
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• v.63 no.9
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• pp.361-367
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• 2020

Background: Length of stay is a significant indicator of care effectiveness and hospital performance. Owing to the limited number of healthcare centers and facilities, it is important to optimize length of stay and associated factors. Purpose: The present study aimed to investigate factors associated with neonatal length of stay in the neonatal intensive care unit (NICU) using parametric and semiparametric models and compare model fitness according to Akaike information criterion (AIC) between 2016 and 2018. Methods: This retrospective cohort study reviewed 600 medical records of infants admitted to the NICU of Bandar Abbas Hospital. Samples were identified using census sampling. Factors associated with NICU length of stay were investigated based on semiparametric Cox model and 4 parametric models including Weibull, exponential, log-logistic, and log-normal to determine the best fitted model. The data analysis was conducted using R software. The significance level was set at 0.05. Results: The study findings suggest that breastfeeding, phototherapy, acute renal failure, presence of mechanical ventilation, and availability of central venous catheter were commonly identified as factors associated with NICU length of stay in all 5 models (P<0.05). Parametric models showed better fitness than the Cox model in this study. Conclusion: Breastfeeding and availability of central venous catheter had protective effects against length of stay, whereas phototherapy, acute renal failure, and mechanical ventilation increased length of stay in NICU. Therefore, the identification of factors associated with NICU length of stay can help establish effective interventions aimed at decreasing the length of stay among infants.

• Journal of Home Health Care Nursing
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• v.6
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• pp.5-18
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• 1999

This study was attempt to encourage for developing on rehabilitation delivery system and programs as a substitute service instead of hospitalization for accident patients at work, such as hospital based home health care nursing service. It needs vary substitutes service of hospitalization to curtail the length of stay for inpatients who were hospitalized with workers compensation insurance. It focused on developing an estimation of early discharge day of accident inpatients based on a detail statement of treatment for 115 inpatients who were hospitalized at General Hospital in 1997. This study has four specific purpose as follows. First, to find out the status of health service utilization. Second, to estimate the early discharge days and income increasing effect based on the early discharge for those patients. Third, to identify the factors to affect total medical expenditure and the length of stay for those inpatients. Forth, to figure out the need of utilizing home health care nursing service for accident patients. In order to analyze of the length of stay and medical expenditure for inpatients who were hospitalized due to the accident, the authors conducted with micro-analysis and macroanalysis from medical records and medical expenditure records. Micro-analysis was done by nominal group discussion of 4 expertise with the critical criteria. such as a decrease in the amount of treatment after surgery, treatments, tests, drugs and changes in the tests consistency, drug methods, vital signs, start of ROM exercise, doctor's order, patient's outside visiting ability, stable conditions. In addition to identify affected variables for medical expenditure. the length of stay and income effect due to early discharge day, the data was analyzed with multiple regression analysis and linear regression analysis model by SPSS-PC for windows and Excell program. Results of this study as follows. First, the mean length of stay was 37.1 days, whereas the mean length of stay due to early discharge was 28.2 days at the hospital. The estimation of early discharge days were shown that depends on the length of stay. The longer length of stay, the longer length of early discharge days, such as under 7 days length of stay patients was to estimated the mean length of stay was 4.9 days and early discharge days was 4.6. whereas the mean length of stay was 122.6 days and early discharge days was 92.0 respectively. The mean medical expenditure per day were found to be 133.409 Won. whereas the mean medical expenditure per day was shown negative linear trends according to the length of stay at the hospital. The estimation results of the income effect due to 11 early discharge days per bed was around 2,150,000 won. However, it means not the real benefits from early discharge, but the income increasing amount without considering medical prime cost in general hospital. Therefore, it needs further analysis on the cost containments and benefits under the considering as well turn over rates per bed as the medical prime costs. The length of stay was most significant and the sign was positive to the total medical expenditure, as expected. Surgery and patient's residential area also an important variable in explaining medical expenditure. The level of complications was most significant variable in explaining the length of stay. The level of the needs on horne health care nursing service which can be used for early discharge accident patients were shown very high. The needs distribution varied from 65.5% of patients and 88.9% of caregivers, to 96.4% of doctors, and 99.1% of nurses. In addition horne health nurse responded that they can be managed the accident inpatients from early discharge. From these research findings. the following suggestions has been drawn it needs to develop strategies on rehabilitation delivery system in order to focused on consumer's side which is planned for 21 century health policy in Korea. Vary intermediate facilities and horne health care would have been developed in the community based for comprehensive rehabilitation services as a substitutes of hospitalization for shortening the length of stay of hospitalizations. In hospital based horne health care nursing service, it's available immediately to utilize for the patients who wanted rehabilitation services as a substitutes of hospitalization under the cooperations with workers compensation insurance company.

• Quality Improvement in Health Care
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• v.10 no.1
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• pp.42-56
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• 2003

Background : The purpose of this study is to investigate the influencing factors on the length of emergency department stay of patients with acute myocardial infraction. Methods : we reviewed medical records of all patients who were Hospitalized with acute myocardial infraction from March 1, 2002 to February 28, 2003. Results : The average length of stay in the emergency room of the subjects was 182.74 minutes. After the emergency room treatment, 48.1% of the subjects were transferred to intensive care unit. The hospitalization through emergency room mostly took place in the office hours. There were more patients on Monday. The influencing factors on the length of stay in the emergency room of patients with acute myocardial infraction were emergency room arrival time which was classified in seasons, treatment hours of specialized doctors, medical care insurance and required time of radiologic examination. Conclusion : In order to reduce the length of emergency room stay, it might be an available solution secure enough spaces, facility, and staff of the radiologic test only for the patients of the emergency room. And the effective use of emergency facility and space, establishment of standardized treatment guideline, and provision of emergency treatment support system are also needed.

• Journal of Preventive Medicine and Public Health
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• v.44 no.1
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• pp.48-55
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• 2011

Objectives: The purpose of this study was to examine the impact of Diagnosis-Related Group (DRG)-based payment on the length of stay and the number of outpatient visits after discharge in for patients who had undergone caesarean section. Methods: This study used the health insurance data of the patients in health care facilities that were paid by the Fee-For-Service (FFS) in 2001-2004, but they participated in the DRG payment system in 2005-2007. In order to examine the net effects of DRG payment, the Difference-In-Differences (DID) method was adopted to observe the difference in health care utilization before and after the participation in the DRG payment system. The dependent variables of the regression model were the length of stay and number of outpatient visits after discharge, and the explanatory variables included the characteristics of the patients and the health care facilities. Results: The length of stay in DRG-paid health care facilities was greater than that in the FFS-paid ones. Yet, DRG payment has no statistically significant effect on the number of outpatient visits after discharge. Conclusions: The results of this study that DRG payment was not effective in reducing the length of stay can be related to the nature of voluntary participation in the DRG system. Only those health care facilities that are already efficient in terms of the length of stay or that can benefit from the DRG payment may decide to participate in the program.

• Health Policy and Management
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• v.31 no.2
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• pp.173-179
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• 2021

Background: In Korea, the length of stay and medical expenses incurred by medical aid patients are increasing at a rate faster than the national health insurance. Therefore, there is a need to create a management strategy for each type of hospitalization to manage the length of stay of medical aid patients. Methods: The study used data from the 2019 National Health Insurance Claims. We analyzed the factors that affect the length of stay for 186,576 medical aid patients who were hospitalized for more than 31 days, with a focus on the type of hospitalization in long-term care hospitals. Results: The study found a significant correlation between gender, age, medical aid type, chronic disease ratio, long-term care hospital patient classification, and hospitalization type variables as factors that affect the length of hospital stay. The analysis of the differences in the length of stay for each type of hospitalization showed that the average length of stay is 291.4 days for type 1, 192.9 days for type 2, and 157.0 days for type 3, and that the difference is significant (p<0.0001). When type 3 was 0, type 1 significantly increased by 99.4 days, and type 2 by 36.6 days (p<0.0001). Conclusion: A model that can comprehensively view factors, such as provider factors and institutional factors, needs to be designed. In addition, to reduce long stays for medical aid patients, a mechanism to establish an early discharge plan should be prepared and concerns about underutilization should be simultaneously addressed.