• The Journal of Korean Society for School & Community Health Education
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• v.23 no.1
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• pp.29-40
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• 2022

Objectives: The purpose of this study is to identify the relationship between metabolic syndrome factor diseases and falls in the elderly aged 65 years or older and use them as basic data to reduce the risk of falls. Methods: The method of this study was to compare the injury-related characteristics of the fall and non-fall groups with a factor disease of metabolic syndrome in Korea over 65 years of age. Data from the 14th National Hospital Discharge In-depth Injury Survey in 2018 were used to conduct the study. A total of 7,991 data were analyzed using SPSS 23.0. Results: Among the total injuries, the fall group with metabolic syndrome factor disease accounted for 69.0% and the non-fall group 31.0%. Falls occurred in 86.3% of households. In the fall group with metabolic syndrome factor disease, the number of females was 1.9~2.1 times higher than that of males. Compared to 65~69 years of age, the incidence of falls was 1.4~1.5 times higher in 70~79 years, 1.7~2.2 times higher in 80~89 years, and 2.5~3.6 times higher in 90-year-olds and older. In NISS, the incidence of falls was 1.7 times higher in moderate compared to mild. In principle diagnosis, the incidence of falls was 2.2 times higher in S40-S99 compared to S00-S19. Conclusion: The elderly with metabolic syndrome factor disease should continue to promote health through light exercise that can strengthen muscle strength to prevent falls.

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

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.127-133
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• 2022

This study aims to find out the associative relationship between dementia and comorbidities. To conduct this study, we used KNHDIS(Korea National Hospital Discharge In-depth Injury Survey) data from 2009 to 2018 provided by the KDCA(Korean Disease Control and Prevention Agency) annually. We used MySQL for data preprocessing and R for data analysis. As a result of applying the Apriori algorithm criteria of support(≥0.01), confidence(≥ 0.6), and lift(>1), seventeen rules related to dementia were discovered. The diseases associated with dementia were diabetes mellitus, hypertension, disorders of lipoprotein metabolism, glomerular disorders in diabetes mellitus, renal diseases, cardiovascular disease, cerebrovascular disease, and other urinary system disorders. This study can be utilized as primary data for the care of patients with dementia and provides implications for improving effective dementia prevention policies.

• Health Policy and Management
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• v.23 no.3
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• pp.233-243
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• 2013

Background: This study was conducted to evaluate the individual and community level factors which were influencing the severe injury patients' death and transfer at discharge. Methods: Analysis data is based on Korean National Hospital Discharge In-depth Survey Data released by the Korea Center for Disease Control and Prevention from 2006 to 2008. Study subjects was 11,026 inpatients with of severe injury. For multi-level analysis, socio-demographic characteristics, injury related characteristics, hospitalization related characteristics were used as individual level factors, and socio-environmental characteristics and health care resource characteristics were used as community level factors. Results: As to community level factors affecting mortality of severe injury, the possibility of death was also high in cases of less numbers of surgeons per a population of 100,000 and more number of operation beds. As to community level factors affecting transfer of severe injury, vulnerable areas with higher social deprivation index and low population density had higher possibility of transfer. Conclusion: Both individual level factors and community level factors affected clinical outcomes of treatment for severe injury. In particular, since there happened higher death and transfer of severe injury in socioeconomic and medical vulnerable areas, special efforts for establishing preventive policy and care system for injury in national and area level should be directed toward such areas.

• Health Policy and Management
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• v.24 no.4
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• pp.322-329
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• 2014

Background: As most of people in Korea are covered by National Health Insurance (NHI), the disease information collected in NHI provides high availability for health policy. Nevertheless, the validity of disease codes in NHI data has been controversial till now. So we tried to evaluate the validity of them by comparing the NHI claims data with Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) data. Methods: We compared the NHI patients sample data (2009) with the KNHDIIS data (2009). We selected the inpatient data of KNHDIIS and NHI patients sample. The weighted number of patients from NHI patients sample was 5,551,210 and the number of patients from KNHDIIS was 5,559,874. We classified the disease codes into principal diagnoses and other diagnoses, and we compared as one, two, three unit level. Also we calculated the agreement rate of each of them. Results: In the comparison of principal diagnoses, NHI claims data had more C code than KNHDIIS data did, whereas KNHDIIS data had more Z code than NHI claims data did. In the comparison of other diagnoses, NHI claims data had 2, 3 more codes than KNHDIIS data did. The overall agreement rate at three unit level was 76.5% in principal diagnoses and 46.8% in other diagnoses. Conclusion: Considering the large difference between the two data, the validity of disease codes in NHI Claims data seems to be low. To increase the validity of them, the definite detail coding indicator, the reinforcement of coding education, and the reform of system are needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4910-4918
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• 2013

This study aims to design a Severity-Adjusted LOS(Length of Stay) Model in order to efficiently manage LOS of AMI(Acute Myocardial Infarction) patients. We designed a Severity-Adjusted LOS Model with using data-mining methods(multiple regression analysis, decision trees, and neural network) which covered 6,074 AMI patients who showed the diagnosis of I21 from 2004-2009 Korean National Hospital Discharge in-depth Injury Survey. A decision tree model was chosen for the final model that produced superior results. This study discovered that the execution of CABG, status at discharge(alive or dead), comorbidity index, etc. were major factors affecting a Sevirity-Adjustment of LOS of AMI patients. The difference between real LOS and adjusted LOS resulted from hospital location and bed size. The efficient management of LOS of AMI patients requires that we need to perform various activities after identifying differentiating factors. These factors can be specified by applying each hospital's data into this newly designed Severity-Adjusted LOS Model.

• The Journal of Korean Society for School & Community Health Education
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• v.23 no.4
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• pp.29-39
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• 2022

Objectives: The purpose of this study was to assess the incidence of delivery and puerperium complications in South Korea and analyze the correlations between the patient's characteristics and delivery and complications before and after 10 years. Methods: This study used the data from an Korean National Hospital Discharge In-depth Injury Survey. Cases of which the principal diagnosis and second diagnoses were disease classification ICD code O00-O99(Pregnancy, childbirth and the puerperium) were defined as the study subjects, and the first study group was divided as the year of discharge from 2005 to 2007, and the second study group from 2015 to 2017. Results: The number of patients discharged whose principal diagnosis or second diagnoses was O00-O99 was 21,598(Weighted 423,306) from 2005 to 2007 and 19,028(Weighted 364,384) from 2015 to 2017, which decreased by 13.9% compared to 10 years ago. The average age of discharged patients increased by about 2 years and was statistically significant (p<.0001). Factors associating spontaneous delivery, caesarean section and puerperium complication were hospitalization route, bed size, maternal age, length of hospital stay, and the year of discharge. Conclusion: Based on the results of this study, health and education policies and economic support for medical care for high-risk pregnancy and delivery management would be necessary continuously. In addition, policies to strengthen the medical system for high-risk pregnancy management in non-metropolitan areas with high fertility rates would also be needed.

• 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.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.389-401
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• 2021

This study was performed to generate basic data to establish a health promotion plan for residents of Chungcheongbuk-do by identifying characteristics of discharged patients residing in the Chungcheongbuk-do area from an In-Depth Post-Discharge Injury Survey reported by the Korea Centers for Disease Control and Prevention(KCDCP). The Report provided data on demographic characteristics, medical institution use characteristics, medical use characteristics, and disease characteristics of patients discharged from medical institutions with 100 or more beds from 2013 to 2017. The total number of Chungcheongbuk-do residents who were admitted and discharged from 2013 to 2017 was estimated to be 1,656,590, and the discharge rate was 21,089, which was higher than the national average of 13,882 in 2016. The regions where the discharge rate increased during this period include Goesan, Yeongdong, Boeun, Okcheon, Jeungpyeong, and Eumseong-gun, which are mainly rural areas. Among the patients hospitalized and discharged from hospitals outside the Chungcheongbuk-do area, the discharge rate of patients who used hospitals in Incheon/Gyeonggi areas and Daejeon/Chungnam areas increased slightly. Among the malignant tumor patients, the number of lung cancer(included trachea & bronchial cancer) patients was the highest. In addition, the discharge rate was highest for patients with respiratory diseases. This study suggests that efforts need to be made to lower the discharge rate for infection, circulatory disease, genitourinary disease, and musculoskeletal disorder patients

• Korea Journal of Hospital Management
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• v.21 no.4
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• pp.45-54
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• 2016

The purpose of this study is to identify patient and hospital characteristics with pulmonary tuberculosis and to analyze factors which were influencing length of stay and treatment. The Korean National Hospital Discharge In-depth Injury Survey database from 2006 to 2012 was used for analysis. Study subjects were 4,704 patients and analyzed by using frequency, chi-square and logistic regression through using STATA 12.0. To avoid selection bias, we used propensity score matching. Analysis results show that the length of stay and treatment of pulmonary tuberculosis was different between insurance types. Patients characteristic(female, comorbidity, admission by outpatient department, medical insurance type) and hospital characteristic(500-999 beds, over 1000 beds) significantly influence length of stay. Admission by outpatient department and over 1000 beds are significantly influence treatment. Based on these findings, it is necessary to clarify between length of stay and treatment outcome by medical aids beneficiaries and audit hospitals follow discharge guidelines in pulmonary tuberculosis patients.