• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.47-55
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• 2014

The purpose of this study was to analyze the differences in the outcome for CABG according to whether hospitals provided heart related surgeries. The 2011 National Inpatient Sample (NIS) and inpatient quality indicator principles from the Healthcare Research and Quality (AHRQ) were used for analysis. Hospitals were divided into three groups according to the surgeries they provided. The length of stay and in-hospital deaths were adjusted for the differences in risks. ANOVA was performed to examine the differences for the risk-adjusted in-hospital mortality rate and risk-adjusted length of stay among the three groups. The analysis results showed that hospitals providing CABG, PTCA, and PHS had lower risk-adjusted in-hospital mortality rates or similar risk-adjusted lengths of stay compared to those of hospitals providing only CABG. However, the three groups did not have statistically significant differences in outcome indicators. Another study will be needed with a larger sample.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.314-323
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• 2013

This study analyzed the relationship between the level of hospital caseloads and length of stay for the delivery patients. The differences of hospital caseloads were measured by the Internal Herfindahl Index, which measured the concentration of delivery patient in a hospital. And the structure variables of hospitals such as the number of bed, the number of treatment, and the number of doctors and nurses per 100 beds were included as control variables. And average length of stay of delivery patients was used as the dependent variable. Concentration status of delivery patients was measured in two models: (1) first model represents the concentration level of delivery patient in all hospital patients, (2) second model represents the concentration level of delivery patient in all obstetrics and gynecology patients. In regression analysis, patient concentration index was not statistically significant in explaining the variation of average length of stay in two models. But the number of delivery patients and number of beds were statistically significant. The number of delivery patient variable showed negative regression coefficient with average length of stay and the number of beds showed positive coefficient with average length of stay. This study result indicated that the volume of delivery patients in a hospital will play a significant role in reducing the length of stay of delivery patients. Patient volume could contribute in improving the efficiency of patient care in a hospital.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.257-263
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• 2020

This study was conducted to improve the quality of National Health Policy by analysing the effects of sociodemographic characteristics, Medical institutions characteristics and characteristics of Admission-Discharge on the length of stay in hospital for schizophrenic patients from the data of Health Insurance Review & Assessment Service. The subjects were 4,692 patients who were diagnosed with schizophrenia as main diagnosis from the data records of HIRA-NIS 2016. Regression analysis was performed to evaluate the effect on the length of stay. Sociodemographic characteristics, hospital characteristics and characteristics of Admission-Discharge were used as explanatory variables and length of stay in hospital was used as a dependent variable. The result of study showed that female, age, medical aid, the kind of hospital, gangweon-do and with mental disease were found to be the factors that affect the length of stay. The significance of this study is to use the public data for evaluating factors that affect the length of stay in hospital for schizophrenic patients. But this study did not consider disease severity, so further study is needed for evaluation of the effects of factors on the length of stay according to disease severity.

• 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.

• Journal of Gastric Cancer
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• v.12 no.2
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• pp.126-131
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• 2012

Purpose: We developed a standardized critical pathway for gastric cancer surgery and then determined the increase of application, which resulted in an improvement in terms of measurable indices, such as hospital stay and cost. Materials and Methods: A critical pathway was revised and used widely from the 2nd quarter of 2009. We collected clinical data, such as length of stay and complication rate, as clinical indices of quality prospectively. The total cost paid at the patient's discharge, as well as the daily hospital income, were calculated and compared by each quarter from January 2008 to December 2009. Results: The application rate of critical pathway was 11.8% and 87.8% in 2008 and 2009, respectively. There were no perioperative deaths. There was no difference in the complication rates between 2008 and 2009 (P=0.45). However, the mean length of stay was significantly different between the 2 years (P<0.05). Although the total cost was not different, the daily hospital income was significantly higher in the latter year (P<0.05). Conclusions: An increase in the application of critical pathway for gastrectomy resulted in significant decreases in length of stay and increases in the daily hospital income without a compromise on the clinical indices.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.137-143
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• 2023

This study was conducted to analyze factors affecting the length of stay in children with injuries by determining relationships between length of stay and characteristics of children(aged 0 to 12) with injuries. 7,804 patients aged 0 to 12 who participated in the Korea Nation Hospital Discharge In-Depth Injury Surveys, got a diagnosis of sequelae of injuries and of other consequences of external causes(S00-T98), and were discharged between 1 January 2016 and 31 December 2020 were investigated. A frequency analysis, independent samples t-test, and ANOVA were performed. Also, to identify factors affecting the length of stay, a regression analysis was performed. The average length of stay for the patients investigated in this study was 5.5 days. The length of stay for school-age children(aged 7 to 12) and children who had either public or private coverage was higher than that for preschoolers(aged 0 to 6) and children who didn't have public or private coverage, respectively. The length of stay for children admitted to a hospital in a rural area(Jeolla-do or Gyeongsang-do) was higher than that for children admitted to a hospital in a metropolitan area and the length of stay for children admitted to a hospital that had 100-299 hospital beds was relatively long. However, children who first visited a hospital for outpatient care stayed relatively short in hospital and children who had been burned or injured in traffic crashes stayed relatively long in hospital. Children who got a secondary diagnosis and had a principal procedure or who died after being discharged were in hospital for a long time. The findings of this study shall be useful, as they identified characteristics related to the length of stay for Korean children with injuries and factors that determine the length of stay for those children by analyzing the national dataset, or more specifically, the data from the Korea National Hospital Discharge In-Depth Injury Surveys. The risk of child injuries can be easily reduced by taking actions to prevent them and providing safety education programs. The present study has provided essential baseline data for the provision of aggressive care for child injuries and the establishment of a range of policies for child injury prevention.

• Health Policy and Management
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• v.26 no.1
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• pp.39-50
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• 2016

Background: This study examined patient and hospital factors related to long-stay admissions in long-term care hospitals (LTCHs) among older people in Korea. Methods: We analyzed health insurance claims data, entitlement data, and institutional administrative data from the National Health Insurance Service databases between 2010 and 2012. At the patient level, we compared characteristics of patients staying in LTCHs for over 180 days (the long-stay group) with those staying in LTCHs for less than 90 days during a calendar year. At the hospital level, we examined the general characteristics and staffing levels of the top 10% of hospitals with the highest proportion of patients whose length of stay (LOS) was 180+ days (the hospitals with long-stay patients) and compared them with the top 10% of hospitals with the highest proportions of patients whose LOS was less than 90 days (hospitals with shorter-stay patients). Results: The long-stay group accounted for about 40% of all LTCH patients. People in the group were more likely to be women, aged 80+, living alone, and experiencing more than two health conditions. Compared to the hospitals with shorter-stay patients, those with long-stay patients were more likely to be occupied by patients with behavior problems and/or impaired cognition, owned by corporate or local governments, have more beds and a longer period of operation, and deliver services with lower staffing levels. Conclusion: This study found long-stay older people in LTCHs and those in LTCHs with high proportions of long-stay older patients had several distinct characteristics compared to their counterparts designated in this study. Patient and hospital characteristics need to be considered in policies aiming to resolve long-stay admissions problems in LTCHs.

• Journal of Preventive Medicine and Public Health
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• v.43 no.6
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• pp.523-534
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• 2010

Objectives: We assessed impact of performance reporting information about the readmission rate, length of stay and cost of hip hemiarthroplasty. Methods: The data are from a nationwide claims database, National Quality Improvement Project database, of Health Insurance Review & Assessment Service in Korea. From January 2006 to April 2008, we received information of length of stay, readmission within 30 days, cost of 22 851 hip hemiarthroplasty episodes. Each episodes has retained the diagnoses of comorbidities and demographics. We used time-series analysis to assess the shifting of patients selections, between high volume (over 16 operations in a year) and low volume institutions, after performance reporting (December 2007). The changes of quality (readmission, length of stay) and cost were evaluated by multilevel analysis with adjustment of patient's factors and institutional factors after performance reporting. Results: As compared with the before performance reporting, the proportion of patients who choose the high volume institution, increased 3.45% and the trends continued 4 months at marginal significance (p = 0.059). After performance reporting, national average readmission rate, length of stay were decreased by 0.49 OR (95% CI=0.25 - 0.95) and 10% (${\beta}$=-0.102, p<0.01) and cost was not changed (${\beta}$=-0.01, p=0.27). The high volume institutions were more decreased than low volume in length of stay. Conclusions: After performance reporting, readmission rate, length of stay were decreased and the patient selections were marginally shifted from low volume institutions to high volume institutions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1234-1243
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• 2011

Our study was carried out to develop the severity-adjustment model for length of stay in hospital for community-acquired pneumonia so that we analysed the factors on the variation in length of stay(LOS). The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge In-depth Injury Survey data from 2004 through 2006. The data were analyzed using t-test and ANOVA and the severity-adjustment model was developed using data mining technique. There are differences according to gender, age, type of insurance, type of admission, but there is no difference of whether patients died in hospital. After yielding the standardized value of the difference between crude and expected length of stay, we analysed the variation of length of stay for community-acquired pneumonia. There was variation of LOS in regional differences and insurance type, though there was no variation according whether patients receive their care in their residences. 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.