• Korean Journal of Occupational Health Nursing
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• v.9 no.1
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• pp.18-29
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• 2000

Back injury is frequent in industry workers and is a common cause of productivity loss. It has been reported that the insured of industrial accident insurance tend to stay in hospital longer than that of other types of insurance. The purpose of this study was to identify factors affecting the length of hospital stay for the treatment of back injury in the workers under industrial accident insurance. The results of this study help insurers develop reasonable industrial accident insurance policy for back injury claims and prevention strategies of work-related back injury. A total of 2,949 patients whose industrial accident insurance claim has been approved for the treatment of work-related back injury from January to December 1999 were included in this study. Relationship between the length of hospital stay and characteristics of patient, work place, back injury, and hospital were assessed using ANOVA, t-test, simple linear regression and multiple resgression. The major findings of this study are as follows : 1. The average length of hospital stay(LOS) was 91.82 days, respectively. 2. Characteristics of Patient LOS of male patients was longer than that of female patients, there was positive correlation between age and LOS and between average wage and LOS. Working period was negatively correlated with LOS. Distance from resident to hospital was positively correlated with LOS and LOS was significantly different dependign on type of duty. 3. Characteristics of Work Place LOS was significantly different depending on types of industry and geographical region of work place. Size of work place was positively correlated with LOS. 4. Characteristics of Back Injury Occupational back pain required shorter LOS compared with back injury due to electric shock. Number of concomitant illnesses and severity of disability were positively correlated with LOS. 5. Characteristics of Hospital Patients treated in community hospitals required significantly longer LOS. Treatment in hospitals with rehabilitation program required decreased LOS. This was more prominent as number of physicians specialized in rehabilitation. 6. Multiple regression analysis revealed that distance form resident to hospital, geographical region of work place, size of work place, number of concomitant illnesses, severity of disability, and type of hospital were factors affecting LOS.

• 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 Digital Convergence
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• v.11 no.6
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• pp.221-233
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• 2013

This study aims to develop the severity-adjusted length of stay(LOS) model for acute stroke patients using data from the hospital discharge survey and propose management of length of stay(LOS) for acute stroke patients and using for Hospital management. The dataset was taken from 23,134 database of the hospital discharge survey from 2004 to 2009. The severity-adjusted LOS model for the acute stroke patients was developed by data mining analysis. From decision making tree model, the main reasons for LOS of acute stroke patients were acute stroke type. The difference between severity-adjusted LOS from the decision making tree model and real LOS was compared and it was confirmed that insurance type and bed number of hospital, location of hospital were statistically associated with LOS. And to conclude, hospitals should manage the LOS of acute stroke patients applying it into the medical information system.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.1
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• pp.22-27
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• 2017

The length of hospital stay (LOS) for patients with respiratory virus infections has been reported to depend the virus type and infection severity. However, the impact of co-infections remains unclear. Patients with suspected respiratory virus infections, who visited Dankook University Hospital between December 2006 and February 2014, were included to examine the relationship between co-infections and LOS. Multiplex reverse transcriptase-polymerase chain reactions were used to identify the causative viruses. LOS was analyzed with respect to sex, age, virus, and co-infection. During this period, 5,310 out of the 8,860 patients (59.9%; median age, 1.5 years) were respiratory virus-positive. In respiratory virus-positive patients with single, double, and three-or-more infections, the average LOS was 7.3, 6.7, and 6.6 days, respectively. Longer LOS was observed for older patients and those with human coronavirus OC43 infections compared with adenovirus or respiratory syncytial virus A infections. LOS differed significantly according to age, virus type, and co-infection, but not between double and three or more infections.

• Health Policy and Management
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• v.20 no.2
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• pp.17-39
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• 2010

This study explored the impact on the DRG(Diagnosis-Related Groups)-based prospective payment system(PPS) operated by voluntarily participation providers. We analyzed whether the provides in the DRG-based PPS and in traditional fee-for-service(FFS) systems showed different the degree of variation in length of stay(LOS), and the providers' behaviors depending on the differences according to the varied participation periods. The study sample included all data 2,061 institutions participated in DRG-PPS in 2007 and all cases 473 FFS institutions which reported fee-for-service claims were reviewed same diagnosized diseases at least 10cases claims during three months We compared the differences of the LOS among health care institutions according to their type, region, and size. For DRGs showing significant differences in LOS, multiple regression analyses were performed to find out factors associated with LOS and interaction effect participation and hospital types or participation periods. The result provide the evidence that the DRG payment system operated by volunteering health care institutions had impact on resources use, which can reduce the institutions' the length of stay. While some DRGs had no correlation between participation periods and LOS, other DRGs, DRG participation period reversely linear relationship with LOS. That is to say, the longer participation year, the less reducing the LOS. These results support the future expansion of the DRG-based PPS plan to all health care services in Korea.

• Korea Journal of Hospital Management
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• v.19 no.4
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• pp.21-33
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• 2014

This study was conducted to propose an insight into the appropriateness of hospital length of stay(LOS) by developing a severity-adjusted LOS model for patients with pneumonia, organism unspecified. The pneumonia risk-adjustment model developed in this paper is based upon the 2006-2010 the Korean National Hospital Discharge in-depth Injury Survey. Decision tree analysis revealed that age, admission type, insurance type, and the presence of additional disorders(pleural effusion, respiratory failure, sepsis, congestive heart failure etc.) were major factors affecting the severity-adjusted model using the Clinical Classifications Software(CCS). Also there was a difference in LOS among the regional hospitals, especially the hospital LOS has not been efficiently managed in Gyeongsangbuk-do, Jeollanam-do, Jeollabuk-do, Daejeon, and Busan. To appropriately manage hospital LOS, reliable statistical information about severity-adjusted LOS should be generated on a national level to make sure that hospitals voluntarily reduce excessive LOS and manage main causes of delayed discharge.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.372-383
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• 2011

Our study was carried out to develop the severity-adjustment model for length of stay in hospital for percutaneous coronary interventions so that we would analysis the factors on the variation in length of stay(LOS). The subjects were 1,011 percutaneous coronary interventions inpatients of the Korean National Hospital Discharge In-depth Injury Survey 2004-2006 data. The data were analyzed using t-test and ANOVA and the severity-adjustment model was developed using data mining technique. After yielding the standardized value of the difference between crude and expected length of stay, we analysed the variation of length of stay for percutaneous coronary interventions. There was variation of LOS in regional differences, size of sickbed and insurance type. The variation of length of stay controlling the case mix or severity of illness can be explained the factors of provider. This supply factors in LOS variations should be more studied for individual practice style or patient management practices and healthcare resources or environment. We expect that the severity-adjustment model using administrative databases should be more adapted in other diseases in practical.

• Journal of Korean Biological Nursing Science
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• v.26 no.2
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• pp.136-143
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• 2024

Purpose: The purpose of this study was to investigate the associations of obesity and clinical characteristics including interleukin-6 (IL-6) with hospital length of stay (LOS) in coronavirus disease-2019 (COVID-19) patients in Korea. Methods: A retrospective descriptive study design was employed to analyze medical data from a government-designated hospital in a city of Korea. Clinical data were collected from 256 patients with COVID-19 in negative-pressure isolation wards in 2021. The following parameters were analyzed: body mass index (BMI), IL-6 levels, age, sex, comorbidities, healthy habitsat the time ofadmission, and LOS. The statistical package SPSS 26.0 was used for descriptive statistics, the independent t-test, the chi-square test, and partial correlation coefficients. Results: The age of COVID-19 patients was positively correlated with BMI (r = -.16, p = .012), IL-6 levels (r = .14, p = .022) and LOS (r = .26, p < .001). Obesity, non-drinking, hypertension, and older age were associated with longer LOS. Conclusion: These results suggest that age, obesity, and hypertension in COVID-19 patients are related to LOS. Studies investigating other factors that can affect long-term hospitalization in COVID-19 patients are suggested.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.131-144
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• 2015

Objectives : This study investigated the health care utilization patterns and length of stay (LOS) determinants of fracture patients with workers' compensation insurance (WCI) and national health insurance (NHI). Methods : The discharge summary data of 4,394 WCI fracture patients were compared to 28,874 NHI patients. Health care utilization characteristics were compared with a logistic regression analysis, and the LOS determinants were identified with linear regression analysis. Results : The average LOS of the WCI fracture patients was 2.4 times higher than that of the NHI patients. WCI patients used more small or medium sized hospitals, and were more frequently admitted through the emergency room. Females, older patients and patients admitted through emergency room had a significant positive impact on LOS. Conclusions : Healthcare utilization by the WCI fracture patients may include medically unnecessary hospital stays. Therefore, policy makers need to respond appropriately to the inefficient use of health resources by WCI patients.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.47 no.1
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• pp.25-33
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• 2021

Objectives: Many conditions of the oral and maxillofacial region require hospitalization and in-patient care. The average length of stay (LOS) of these patients varies and is usually affected by multiple confounding variables. However, even with an increasing number of hospital admissions, published evidence on the factors that affect the LOS of oral and maxillofacial patients is lacking. Therefore, this study assessed the LOS of in-patients at the oral and maxillofacial surgery department of a government-funded, multi-specialty hospital in Malaysia, based on their reasons for admission and other factors. Materials and Methods: Our samples were collected retrospectively over a 5-year period and included patients with maxillofacial infections, post-trauma stabilization, facial bone fracture surgery, benign and malignant lesion surgery, dentoalveolar surgery, and other maxillofacial surgeries as reasons for admission. Factors potentially affecting LOS were also recorded, and their significance was determined using multiple logistic regression analyses. A P-value of less than 0.05 was considered to be statistically significant. Results: A total of 1,380 patients were included in this study. Most (84.5%) of our in-patients were of Malay ethnicity, and males outnumbered females in our sample by 502 subjects. The median LOS of our in-patients was 3 days. Sex, ethnicity, age, reason for admission, and American Society of Anesthesiology (ASA) classification were factors that significantly affected LOS. Conclusion: The median LOS reported in this study was 3 days. LOS was significantly affected by sex, ethnicity, age, reason of admission and ASA classification.