• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.487-497
• /
• 2021

The purpose of this study is to identify factors affecting length of stay(LOS) and death in tuberculosis(TB) patients by disease type, patient characteristic, admission and disease characteristic, and hospital characteristic from 2008 to 2017. Survey data was using Korean national hospital discharge in-depth survey data produced by Korea Disease Control and Prevention Agency. Study subjects were 10,634 inpatients with TB(A15, A16, A17, A18, A19, U88.0, U88.1, U84.30, U84.31) and analyzed frequency, chi-square test, Fisher's exact test, and logistic regression by using STATA 13.0. As a study result, the type of TB(extrapulmonary TB, multidrug-resistant TB, extensively drug-resistant TB), sex(woman), age(35-49, 50-64, 65-74, 75 years old or older), admission type(outpatient department), CCI(1-2 point, 3 point over), hospital location(metropolitan city) and bed size(300-499, 500-999, over 1000) were significantly influence LOS. Also, the type of TB(extrapulmonary TB, extensively drug-resistant TB), sex(woman), age(50-64, 65-74, 75 years old or older), residence(small town/rural), admission type(outpatient department), CCI(1-2 point, 3 point over), hospital location(provincial) were significantly influence death. In conclusion, the existing tuberculosis management has been patient management with rapid diagnosis and treatment following early detection. But other studies should be carried out for the system that identifies and supports high-risk groups of the long-term length of stay in hospital or high mortality rates as a result of treatment.

• Journal of Chest Surgery
• /
• v.30 no.6
• /
• pp.617-620
• /
• 1997

Traumatic aneurysm of both the thoracic aorta and the left ventricle are extremely rare in children because it is characterized by high mortality. We report a case which we experienced recently with sucessful outcome. A Five-year-old boy had a blunt trauma by bongo bus. He had pulmonary hemorrage and pericardial effusion complicated by multiorgan failure threatening his life. Aneurysm of LV and Descending aorta were showed by 2-D echocardiogram and MRI. The atient underwent successful corrective surgery 2 and half momths after trauma, the Postoperative status of this patient was uneventful, now he is being followed up the OPD.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.510-516
• /
• 2020

This study investigated the characteristics and factors affecting inpatient infants, children, and adolescents who experienced falling, using NHDIS data from 2008 through 2017, The study analyzed data of 116 patients who were under 18 and who experienced injuries (KSCD, S00-S99) by falling (KSCD, W00-W19). Frequency analysis, cross-tabulations, and multiple regression analysis were conducted, using SPSS 23. There were more boys than girls, and most of the falls occurred at the ages of over one to under six years old. Most of the children had respiratory diseases, and most had open wounds or bruises due to falling. Also, most of the falls were related to the bed. In the factor analysis, age (β=.318), the main diagnosis (β=.231), and injury (β=.169) except gender affected falling. This suggests that it is necessary to conduct fall prevention education for children, considering the developmental stage characteristics and age group. It is necessary to screen the risk group such as children with a disease with relatively less restriction of activities or with a hyperactive disorder, and to develop a related manual. Hopefully, the results will be used as the basic data for fall prevention education and creating a fall prevention manual according to the characteristics of children's developmental stage for patients who need hospitalization, their caregivers, and the relevant medical team.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.4
• /
• pp.332-339
• /
• 2016

This study examined the intensity of the association of factors affecting major burns by statistical analysis for patients injured by the release of chemical hazards. A total of 446 patients were evaluated as chemical injury patients, who had visited the emergency room from 1/Jan/2010 to 31/Dec/2014. The major burn was used as a dependent variable representing the severity of chemical injury. A chi-square test (CST) and binary logistic regression test (BLRA) were used as the statistical analysis method for determining the association between major burns and the independent variables. In CST, female and their presence at an incident scene, multiple site injury were associated with major burn (p<0.05). In BLRA, the presence at an incident scene and spills (comparing explosion), discharge (comparing admission) were associated with major burns (p<0.05). In this study, the presence at an incident scene was the most significant factor concerning major burns. Furthermore, gender and injury number, exposure mechanism (spill comparing explosion), and disposition (discharge comparing admission) were also associated with major burns.

• Journal of Digital Convergence
• /
• v.21 no.2
• /
• pp.17-25
• /
• 2023

The purpose of this study was to analyze the characteristics of elderly motorcycle accidents according to data from elderly inpatients to prepare prevention measures for the elderly against injury in motorcycle accidents. Chi-squared test, independent sample t-test, and canonical correlation analysis were performed on the Korea Disease Control and Prevention Agency's National Hospital Discharge In-depth Injury Survey data from 2015 to 2019, from which the records of 1,384 elderly inpatients hospitalized because of motorcycle accidents were obtained. intracranial injury(S06) was the most common care and treatment characteristic for both age groups. The most frequent injury site was the head and neck, and the most frequent injury type was a fracture. The above findings show that prevention education and policy formulation at the national level are necessary to identify and manage the factors of elderly motorcycle accidents. This study provides basic data for developing measures and policies to prevent and reduce injuries, making it significant for public health causes.

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.245-257
• /
• 2015

This study was to develop the predictive model for severity-adjusted mortality of inpatients with multiple chronic conditions and analyse the factors on the variation of hospital standardized mortality ratio(HSMR) to propose the plan to reduce the variation. We collect the data "Korean National Hospital Discharge In-depth Injury Survey" from 2008 to 2010 and select the final 110,700 objects of study who have chronic diseases for principal diagnosis and who are over the age of 30 with more than 2 chronic diseases including principal diagnosis. We designed a severity-adjusted mortality predictive model with using data-mining methods (logistic regression analysis, decision tree and neural network method). In this study, we used the predictive model for severity-adjusted mortality ratio by the decision tree using Elixhauser comorbidity index. As the result of the hospital standardized mortality ratio(HSMR) of inpatients with multiple chronic conditions, there were statistically significant differences in HSMR by the insurance type, bed number of hospital, and the location of hospital. We should find the method based on the result of this study to manage mortality ratio of inpatients with multiple chronic conditions efficiently as the national level. So we should make an effort to increase the quality of medical treatment for inpatients with multiple chronic diseases and to reduce growing medical expenses.

• Journal of Digital Convergence
• /
• v.13 no.2
• /
• pp.215-225
• /
• 2015

This study was conducted to develop a severity-adjusted LOS(Length of Stay) model for knee replacement patients and identify factors that can influence the LOS by using the Korean National Hospital Discharge in-depth Injury Survey data. The comorbidity scoring systems and data-mining methods were used to design a severity-adjusted LOS model which covered 4,102 knee replacement patients. In this study, a decision tree model using CCS comorbidity scoring index was chosen for the final model that produced superior results. Factors such as presence of arthritis, patient sex and admission route etc. influenced patient length of stay. And there was a statistically significant difference between real LOS and adjusted LOS resulted from health-insurance type, bed size, and hospital location. Therefore the policy alternative on excessive medical utilization is needed to reduce variation in length of hospital stay in patients who undergo knee replacement.

• Journal of Digital Convergence
• /
• v.11 no.5
• /
• pp.371-384
• /
• 2013

The purpose of this study was to develop the risk-adjusted mortality model using Korean Hospital Discharge Injury data and US National Hospital Discharge Survey data and to suggest some ways to manage hospital mortality rates through comparison of Korea and United States Hospital Standardized Mortality Ratios(HSMR). This study used data mining techniques, decision tree and logistic regression, for developing Korea and United States risk-adjustment model of in-hospital mortality. By comparing Hospital Standardized Mortality Ratio(HSMR) with standardized variables, analysis shows the concrete differences between the two countries. While Korean Hospital Standardized Mortality Ratio(HSMR) is increasing every year(101.0 in 2006, 101.3 in 2007, 103.3 in 2008), HSMR appeared to be reduced in the United States(102.3 in 2006, 100.7 in 2007, 95.9 in 2008). Korean Hospital Standardized Mortality Ratios(HSMR) by hospital beds were higher than that of the United States. A two-aspect approach to management of hospital mortality rates is suggested; national and hospital levels. The government is to release Hospital Standardized Mortality Ratio(HSMR) of large hospitals and to offer consulting on effective hospital mortality management to small and medium hospitals.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.3
• /
• pp.389-400
• /
• 2011

This study was carried out to analysis factors related to in-hospital mortality of community-acquired peumonia using administrative database. The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge Injury Survey 2004-2006 data. The data were analyzed using chi-squared test and decision tree model in the data mining technique. Among the decision tree model, C4.5 had the best performance. The critical factors on in-hospital mortality of communityacquired pneumonia are admission route, respiratory failure, congenital heart failure including age, comorbidity, and bed size. This study was carried out using the administrative database including patients' characteristics and comorbidity. However further study should be extensively including hospital characteristics, regional medical resources, and patient management practice behavior.

• Korea Journal of Hospital Management
• /
• v.26 no.1
• /
• pp.17-25
• /
• 2021

This study aimed to analysis factors related to in-hospital death of injured patients by patient safety accident. A total of 1,529 inpatients were selected from Korea Centers for Disease Control and Prevention database(2013-2017). Frequency, Fisher's exact test, t-test, ANOVA, logistic regression analyses by using STATA 12.0 were performed. Analysis results show that the mortality rate was lower for female than male but the mortality rate was higher for the older age, the higher the CCI, head (or neck), multiple, systemic damage sites, internal and others, metropolitan cities based on Seoul and 300-499 based on the bed size of 100-299. Based on these findings, the possibility of using the in-depth investigation of discharge damage from the Korea Centers for Disease Control and Prevention as a data source for the patient safety survey conducted to understand the actual status of patient safety accident types, frequency, and trends should be reviewed. Also, it is necessary to prevent injury and minimize death by identifying factors that affect death after injury by patient safety accident.