• 한국직업건강간호학회지
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• 제9권1호
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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.

• 보건의료산업학회지
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• 제10권1호
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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.

• 디지털융복합연구
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• 제11권6호
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• pp.221-233
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• 2013

본 연구는 뇌졸중 환자의 효율적인 재원일수 관리를 위해 행정자료를 이용하여 우리나라 의료기관을 이용한 뇌졸중 입원환자의 중증도 보정 적정 재원일수 예측 모형을 개발하고 이를 의료기관에서 활용할 수 있는 방안을 제시하고자 하였다. 이를 위해 2004-2009년 퇴원손상심층조사 자료 중 뇌졸중 입원환자 23,134명을 대상으로 데이터마이닝 기법을 이용하여 뇌졸중 입원환자의 적정 재원일수 예측모형을 개발하였다. 의사결정나무 모형에 따라 뇌졸중 입원환자의 평균재원일수에 가장 큰 영향을 미치는 변수는 뇌졸중 발생유형이었으며, 의사결정나무를 이용하여 개발된 뇌졸중 입원환자의 중증도 보정 재원일수 모형 결과, 적정 재원일수와 실제 재원일수의 차이는 진료비지불방법, 의료기관 소재지, 병상규모가 모두 통계적으로 유의하게 나타났다. 따라서 뇌졸중 입원환자의 재원일수 변이를 줄이고 효율적으로 관리하기 위해서는 개발된 모형을 의료기관의 의료정보시스템에 적용하고 관리하는 활동을 전개해야 할 것이다.

• 대한임상검사과학회지
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• 제49권1호
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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.

• 보건행정학회지
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• 제20권2호
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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.

• 한국병원경영학회지
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• 제19권4호
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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.

• 한국콘텐츠학회논문지
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• 제11권9호
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• pp.372-383
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• 2011

본 연구의 목적은 관상동맥중재술 입원 환자의 재원일수의 변이를 규명하기 위해 중증도 보정 모형을 개발하였다. 2004~2006년 퇴원손상환자 조사자료 중 관상동맥중재술 입원 환자 1,011건을 연구대상으로 하였으며, 재원일수의 변이분석은 t검정, 분산분석을 실시하였고, 중증도 보정 재원일수 모형은 데이터마이닝 기법을 이용하였다. 개발된 다중회귀분석 모형을 이용하여 예측 재원일수를 산출하고 이를 실제 재원일수와 비교한 결과 병상규모별, 보험유형과 지역별로 재원일수의 변이가 존재하는 것으로 나타났다. 환자 특성과 중증도를 통제하고 나타난 재원일수의 변이는 공급자 요인으로 설명될 수 있는데, 진료행태나 의료자원에 대한 후속 연구가 필요한 것으로 보인다. 본 연구는 행정 데이터를 이용하여 중증도 모형을 개발하고 변이를 확인하였다는 점에서 활용의 효용성을 높이는 데 기여할 것으로 사료된다.

• Journal of Korean Biological Nursing Science
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• 제26권2호
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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.

• 보건의료산업학회지
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• 제9권4호
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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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• 제47권1호
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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.