• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.13-25
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• 2014

This research was performed to investigate the characteristics and determination factors on tertiary hospital inpatients. The used data was the four waves of Korea Health Panel(2008, 2009, 2010, 2011), and the number of subjects was 4,430 cases of tertiary and general hospital admission. The statistical methodology used in the study is the logistic regression model. The significant affecting factors in utilizing tertiary hospital admission were gender, marital status, education, household income, residence region and ICD-10 classification. Man, graduating college/university, married, high-income were socio-economic affecting factors in tertiary hospital admission. Medical need factor of ICD-10 classification and residence region of inpatients was also significant affecting factors in tertiary hospital admission. The 81.4% of inpatients at tertiary hospital had chronic disease and the 12.9% of inpatients readmitted, the 68.2% had a selecting doctor and the only 26.7% of inpatients reinforced by private medical insurance. This study recommended the Korean government to provide proper rule for tertiary hospital admission in order to improve the equity and efficiency of health care system.

• Journal of Korean Critical Care Nursing
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• v.12 no.1
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• pp.57-70
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• 2019

Purpose : The purpose of this study was to identify the risk factors for falls in tertiary hospital inpatients and to suggest data for developing a nursing intervention program for preventing falls. Methods: Data were collected between January 1, 2017, to December 31, 2017. Kaplan-Meier estimation was used to measure the survival rate, and the log-rank test was used for the differences between the fall group and the non-fall group. The Cox proportional hazards model was used to identify the risk factors for falls. Results: The incidence rate of falls for the inpatients was 1.2 cases per 1,000 days of hospitalization. The risk factors for falls were more likely to be found among those who were aged ${\geq}81$, had not undergone surgery, had poor joint motion, had unsteady gait, needed help or supervision, used assistive devices, had comorbidity, and took at least two drugs. Conclusion: For the inpatients, the risk factors for falls included age, surgery, comorbidity, medication that could change mobility, joint motion, and use of patient care equipment. It is necessary to give special attention to inpatients who have any of these risk factors and to develop a falls risk assessment tool.

• Journal of Korean Critical Care Nursing
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• v.16 no.3
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• pp.24-33
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• 2023

Purpose : This study aims to establish an optimal cut-off score on the Braden scale for the assessment of pressure injury to detect pressure injury risks among inpatients in a South Korean tertiary hospital. Methods : This retrospective study used electronic medical records, from January to December 2022. A total of 654 patients were included in the study. Of these, 218 inpatients with pressure injuries and 436 without pressure injuries were classified and analyzed using 1:2 Propensity Score Matching (PSM), and the generalized estimating equation was performed using SPSS Version 26 and the R Machlt package program. Results : The cut-off value on the Braden scale for distinguishing pressure injury was 17 points, and the AUC (area under the ROC curve) was 0.531 (0.484-0.579). The sensitivity was 56.6% (45.5-67.7%) and the specificity was 69.7% (66.0-73.4%). With 17 points, the Braden scale cut-off distinguished those who had pressure injuries from those who did not at the time of admission (p < .03). In the pressure injury group, the Braden score on the day of the pressure injury was 14, with significant results in all subcategories except the moisture category. Conclusion : Our findings revealed that a cut-off value of 17 was optimal for predicting the risk of pressure injuries among tertiary hospital inpatients. Future studies should evaluate the optimal cut-off values in different clinical environments. Additionally, it is necessary to conduct multicenter large sample studies to verify the effectiveness of a 17 value in PI risk assessments.

• Korea Journal of Hospital Management
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• v.14 no.4
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• pp.71-87
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• 2009

This study was conducted to present strategies for efficient use of older people's medical expense and efficient management of hospital beds 삭제by analyzing factors which influenced medical charge of inpatients with stroke and medical charge of each medical treatment. The subjects was 1,070 inpatients with stroke in Academic hospital. The result of this study can be summarized as follows. In the case of cerebral hemorrhage, the rate of female was higher than that of male. In the case of cerebral infarction, the rate of male was higher than that of female. With increase of age, patients with cerebral hemorrhage decreased and patients with cerebral infarction increased. Medical charge for cerebral hemorrhage was 12,600,000 won, while that for cerebral infarction was 572,000 won. The medical charge with surgery was four times of that with non-surgery. The total medical charge for inpatients with stroke was 6,860,000 won. The patient payed 2,240,000 won(32.6%) and National Health Insurance Corporation payed 4,620,000 won(67.3%). Among charges of specific medical treatments, operation and treatment charge was highest(27.7%) in the case of cerebral hemorrhage, while examination charge was highest(32.2%)in the case of cerebral infarction. This study will provide basic information for efficient use of Medical Charge for Inpatients with Stroke.

• Health Policy and Management
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• v.30 no.1
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• pp.72-81
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• 2020

Background: The out-of-pocket maximum is one of the distinctive healthcare systems which sets a ceiling on co-payment in order to reduce the burden of households from the unpredictable medical expenditure. However, this leads to an increase in the demand for healthcare services especially in long-term care hospitals (LTCHs) in Korea. Methods: This study analyzed the influence factor of medical service overuse of 165,592 inpatients in LTCHs which out-of-pocket maximum is applied, by utilizing data from the National Health Insurance Service (2016). Based on Anderson Model, the medical service overuse, as a dependent variable, was defined as long-stay admission more than 180 days at the LTCHs. Independent variable was comprised of predisposing factors (gender, age), enabling factors (income level, types of out-of-pocket maximum) and need factors (illness level, patient use of tertiary hospital). Results: The most powerful factor of medical service overuse in LTCHs was availability of pre-payment for the out-of-maximum (odds ratio [OR], 191.66; p<0.001). This tendency was found in high income level status (p<0.001). Furthermore, mild inpatients (OR, 1.50; p<0.001) which had no experience with the tertiary hospitals (OR, 2.06; p<0.001) were more relevant to the medical service overuse in LTCHs, compared to the severe inpatients. Conclusion: It is suggested that a separate standard of out-of pocket maximum with regards to LTCHs is required to secure the beneficial functions of long-term hospitals and prevent unnecessary financial leakage to achieve sustainable and financially sound National Health Insurance.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.24 no.2
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• pp.151-159
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• 2017

Purpose: The purpose of this study was to identify nursing demands according to general characteristics and diseases of inpatients to whom comprehensive payment systems apply. Methods: This study was designed as a retrospective research study using the electronic medical records of Hospital Information Systems (HIS). Participants were 836 subjects who received seven Diagnostic-Related Group diagnoses among inpatients of one tertiary hospital from January 1, 2015 to June 30, 2015. Data were analyzed using SPSS 23.0. Results: Nursing demand among inpatients'seven Diagnostic-Related Group diagnoses was relatively higher for appendectomy, cataract surgery, and hysterectomy, while there was a significant difference depending on the age, duration of admission, admission path, hospital entry method and Diagnostic-Related Group. Conclusion: The results can be utilized as basic data on accurate nursing demands that reflect various features of patients.

• Korea Journal of Hospital Management
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• v.28 no.2
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• pp.21-31
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• 2023

Purposes: Patient experience is a tool to evaluate the process and results of medical services provided by medical institutions from the patient's point of view. Patient satisfaction surveys are a meaningful and essential source of information for improving quality in healthcare organizations. This study aims to provide basic data for improving the quality of medical service that patients can feel by analyzing the recommendation intention and satisfaction of inpatients in specialty hospitals. Methodology: The subjects of this study were 879 inpatients in 28 specialty hospitals in 14 designated fields. We conducted a telephone survey with a structured questionnaire on the satisfaction and recommendation intention for specialty hospitals. Findings: In inpatients, hospital satisfaction was higher in nursing care services and hospital satisfaction was low in physicians care services. The overall patient satisfaction score was 91.4(SD=11.9) out of 100, and the intention of recommendation was 92.0(SD=14.1) out of 100. The factors affecting patient experience were designated fields, sex, age, residential area, monthly household income, and perceived health status. Practical Implications: This study confirmed the high level of patient satisfaction and recommendation intention among inpatients of specialty hospitals. Patient satisfaction can be of great value to healthcare providers in recognizing and improving the quality of care, as well as predicting patients' willingness to revisit medical institutions. This study can be used to improve the quality of hospital care services in specialty hospitals rather than general and tertiary general hospitals.

• Journal of Korean Academy of Nursing
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• v.47 no.3
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• pp.420-430
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• 2017

Purpose: The aim of this study was to explore characteristics of and risk factors for accidental inpatient falls. Methods: Participants were classified as fallers or non-fallers based on the fall history of inpatients in a tertiary hospital in Seoul between June 2014 and May 2015. Data on falls were obtained from the fall report forms and data on risk factors were obtained from the electronic nursing records. Characteristics of fallers and non-fallers were analyzed using descriptive statistics. Risk factors for falls were identified using univariate analyses and logistic regression analysis. Results: Average length of stay prior to the fall was 21.52 days and average age of fallers was 61.37 years. Most falls occurred during the night shifts and in the bedroom and were due to sudden leg weakness during ambulation. It was found that gender, BMI, physical problems such elimination, gait, vision and hearing and medications such as sleeping pills, antiarrhythmics, vasodilators, and muscle relaxant were statistically significant factors affecting falls. Conclusion: The findings show that there are significant risk factors such as BMI and history of surgery which are not part of fall assessment tools. There are also items on fall assessment tools which are not found to be significant such as mental status, emotional unstability, dizziness, and impairment of urination. Therefore, these various risk factors should be examined in the fall risk assessments and these risk factors should be considered in the development of fall assessment tools.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.183-202
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• 1997

Health care organizations have been faced with financial difficulties under turbulent health care environment. This situation led hospitals to concentrate their efforts to improve their managerial efficiency in various ways. This study aims to evaluate technical efficiency of 31 tertiary hospitals in Korea and find determinants which are closely related with hospital efficiency. Data envelopment analysis(DEA) and Tobit Model were adopted for study. For the analysis, human resource factors such as number of physicians, nurses, and administrative staffs are used as input variables and the number of inpatients and outpatients) are used as output variables. Among 31 hospitals, in CCR model, 8 hositals showed efficiency score 1 which means they have been operated in very efficient ways and BCC model showed 13 of 31 hospitals as efficient organizations. Next, we analyzed determinants which are closely related with hospital efficiency. By using Tobit model, the study showed hospital size, Quality of care, value added per capita, and revenue per patient were closely related with hospital efficiency, However, it appeared that financial status of hospitals(i.e : making profit or not) was not related with hospital efficiency.

• Journal of Korean Clinical Nursing Research
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• v.23 no.2
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• pp.202-210
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• 2017

Purpose: In this study an investigation was done of injuries from inpatient falls and diagnostic tests and treatment after falls to identify what factors affect the occurrence of injury from inpatient falls in a tertiary hospital. Methods: Data for this cross-sectional study were retrieved for 428 fall events from data reported between January 1 and December 31, 2015 and were retrieved from the patient-safety reporting system in the hospital's electronic health records. A multivariate logistic regression model was developed with STATA 13.0. Results: Of the patients, 197 (46.0%) had physical injuries due to falls, 119 (27.8%) were given further diagnostic tests, and 358 (83.6%) received treatment including close observation after inpatient falls. Logistic-regression results identified that age, department, and risk factors had significant impact on injuries from falls. Conclusion: Findings indicate that to reduce the severity of injury after inpatient falls, each hospital should regularly evaluate identified factors, design fall-prevention practices specialized for elders and vulnerable patients, and initiate environmental and equipment innovations.