• Journal of Korean Clinical Nursing Research
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• v.21 no.1
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• pp.43-52
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• 2015

Purpose: This study was aimed to develop the multicomponent intervention for preventing delirium among postoperative patients in a surgical intensive care unit (SICU). Methods: Using a quasi-experimental pre & post-test design with a non-equivalent control group, a total of 88 hospitalized patients in a SICU participated in this study. The 44 patients were allocated in each experimental and control group. The experimental group received the multicomponent intervention for delirium prevention including a delirium assessment and nursing intervention using a checklist, whereas the control group was provided with a standard care. The primary outcome of this study was the delirium incidence during the course of hospitalization. Results: There were no significant differences in the demographic and clinical characteristics between the two groups. The delirium occurred in 19.2% in the experimental group, whereas 38.6% in the control group ($x^2=4.526$, p<.05). Conclusion: The findings of the study demonstrated an effect of the multicomponent delirium prevention intervention in decreasing the delirium incidence rate over the standard care among the patients in SICU.

• Journal of Korean Critical Care Nursing
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• v.10 no.3
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• pp.31-40
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• 2017

Purpose : This study examined the prevalence of delirium-related factors in a surgical intensive care unit (SICU). Methods : This retrospective study enrolled 73 patients who were admitted to an SICU from October 1, 2016 to March 20, 2017 and who had been hospitalized for more than 72 hours. Data was collected by reviewing electronic medical records. Results : Delirium occurred in 46 (63.0%) patients. Its related factors were age, education, mechanical ventilator, sleep, narcotics, physical restraint, and central line catheters. Conclusion : The results indicate that sleep and physical restraint are significant factors related to delirium occurrence. The results of this study can help in developing guidelines for the prevention of delirium.

• Acute and Critical Care
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• v.33 no.4
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• pp.252-259
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• 2018

Background: The aim of this study was to investigate the effects of using a systematic approach to tracheostomy care by a clinical nurse specialist and surgical intensivists for patients with a tracheostomy who were transferred from the surgical intensive care unit (SICU) to the general ward. Methods: In this retrospective study, subjects were limited to SICU patients with a tracheostomy who were transferred to the general ward. The study period was divided into a preintervention period (January 1, 2007 to December 31, 2010) and a postintervention period (January 1, 2011 to December 31, 2014), and electronic medical records were used to analyze and compare patient characteristics, clinical outcomes, and readmission to the SICU. Results: The analysis included 44 patients in the preintervention group and 96 patients in the postintervention group. Decannulation time ($26.7{\pm}25.1$ vs. $12.1{\pm}16.0days$, P=0.003), length of stay in the general ward ($70.6{\pm}89.1$ vs. $40.5{\pm}42.2days$, P=0.008), length of total hospital stay ($107.5{\pm}95.6$ vs. $74.7{\pm}51.2days$, P=0.009), and readmission rate of SICU decreased due to T-cannula occlusion (58.8% vs. 5.9%, P=0.010). Conclusions: Using a systematic approach to tracheostomy care in the general ward led to reduction in decannulation time through professional management, which resulted in a shorter hospital stay. It also lowered SICU readmission by solving problems related to direct T-cannula.

• Journal of Chest Surgery
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• v.26 no.5
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• pp.365-372
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• 1993

We analyzed the patients who were admitted to Surgical Intensive Care Unit[SICU] of Kyungpook National University Hospital from January 1987 through December 1991. The results were as followings: The total number of patients for 5 years was 2446 and 1553[63.5%] were male,893[36.5%] were female. The average age was 34.1 years old and the greatest age group was the 1-9 age group.The number of the patients in the Department of Thoracic and Cardiovascular Surgery, which was the highest among all departments,was 1608 [65.7%].Congenital Heart disease was the most common among all diseases.The patients who had undergone any kinds of operations were 89.9% of all patients.The averge stay in SICU was 5.2 days.The overall mortality rate was 12.1% ,which included hopelessly discharged patients and the highest mortality rate occurred in the patients over 80 years old.The highest cause of death was cardiac problem[30.4%]. The next was sepsis.The proportion of patients who had received a mechanical ventilatory support was 35.7% and 52% of those patients belonged to the department of thoracic and cardiovascular surgery.

• Journal of Korean Critical Care Nursing
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• v.3 no.2
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• pp.37-48
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• 2010

Purpose: The purpose of this study was to examine the frequency and the course of delirium, and identify risk factors for the development of delirium in surgical intensive care unit (SICU). Methods: Subjects older than 19 years admitted to the SICU were recruited. After informed written consent, enrolled subjects had baseline cognitive and functional assessments. Subjects were assessed daily for delirium using the Confusion Assessment Method-ICU (CAM-ICU). Results: During the study period, 110 patients were enrolled. The overall incidence of delirium was 20% (22/110). The average time to onset of delirium was 3.04(${\pm}1.25$) days. Several variables were associated with an increased risk of delirium including older age (p<.05), higher admission APACHE II score (p<.001), use of opioid and analgesics (p<.01), using physical restraints (p<.001), and intraoperative hypotension (p<.05). In a multivariate logistic regression model, using physical restraints (p<.001), intraoperative hypotension (p<.05), and older age (p<.05) remained significant predictors of the delirium development. Conclusion: Using physical restraints, intraoperative hypotension and older age was strongly associated with development of delirium in the SICU. Prevention measures need to focus on identifying patients at higher risk for delirium development.

• Korea Journal of Hospital Management
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• v.25 no.3
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• pp.14-28
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• 2020

Purpose: The purpose of this study was to calculate the total daily nursing workload and the optimum number of nurses per intensive care unit (ICU) based on the nursing intensity and the direct nursing time per inpatient using the patient classification. Methods: Two ICUs at one general hospital were investigated. To calculate the nursing intensity, patient classification according to the nursing needs was conducted for 10 days in each unit during September 2018. We performed patient classifications for a total of 167 patient-days in the Medical Intensive Care Unit (MICU) and 86 patient-days in the Surgical Intensive Care Unit (SICU). The total number of person-days for nurses who responded to the Nursing Time survey was 151 for MICU and 85 for SICU. In each unit, direct and non-direct nursing hours, nursing intensity score, and direct nursing hours were analyzed using descriptive statistics such as frequency, percentage, and average calculated using Microsoft Excel. The amount of nursing workload and the optimum number of nurses were calculated according to the formula developed by the authors. Findings: For the MICU, the average direct nursing time per patient was 5.59 hours for Group 1, 6.98 hours for Group 2, and 9.28 hours for Group 3. For the SICU, the average direct nursing time per patient was 5.43 hours for Group 1, 7.21 hours for Group 2, 9.75 hours for Group 3, and 12.82 hours for Group 4. Practical Implications: This study confirmed that the appropriate number of nurses was not secured in the nursing unit of this study, and that leisure time such as meal time during nursing work hours was not properly guaranteed. The findings suggest that to create working environments where nurses can serve for extended periods of time without compromising their professional standards, hospitals should secure an appropriate number of nurses.

• KIEAE Journal
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• v.15 no.2
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• pp.19-26
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• 2015

Purpose: Maximizing human comfort in design of medical environments depends immensely on specialized architects particularly critical care design; the study proposes Evidence-Based Design as an apparent analog to Evidence-Based Medicine. Healthcare facility designs are substantially based on the findings of study in an effort to design environments that augment care by improving patient safety and being therapeutic. On SPSS (Statistical Package for Social Science) t-test is applied to simulate two independent variables of PDR (Pre Design-Research) and POE (Post- Occupancy Evaluation). PDR is conducted on relatively new hospital Hallym University Dongtan Sacred Heart Hospital to analyse visibility from researchers' point of view, here the ICU is arranged in I-Shape. POE is applied on Dongguk University Ilsan Hospital to simulate walking on LogWare where two NS are designed based on L- Shape and Seoul St. Mary's Hospital, The Catholic University of Korea where five NS are functional for ICU Intensive Care Unit, Surgical Intensive Care Unit (SICU), Medical Intensive Care Unit (MICU), Critical Care Unit (CCU), Korean Oriental Medical Care Unit which are mostly arranged in U-Shape, and walking pattern is recognized to be in a zigzag path. Method: T-Test is applied on two dependent communication variables: walkability and visibility, with confidence interval of 95%. This study systematically analyses the Nurse Station (NS) typo-morphology, and simulates nurse horizontal circulation, by computing round route visits to patient's bed, then estimating minimum round route on LogWare stop sequence software. The visual connectivity is measured on depth map graphs. Hence the aim is to reduce staff stress and fatigue for better patients care by minimizing staff horizontal travel time and to facilitate nurse walk path and support space distribution by increasing effectiveness in delivering care. Result: Applying visibility graph and isovist field on space syntax on I- Shape, L- Shape and U- Shape ICU (SICU, MICU and CCU) configuration, I-shape facilitated 20% more patients in linear view as they stir to rise from their beds from nurse station compared to U-shape. In conclusion, it was proved that U-Shape supply minimum walking and maximum visibility; and L shape provides just visibility as the nurse is at pivot. I shape provides panoramic view from the Nurse Station but very rigorous walking.

• Journal of Korean Biological Nursing Science
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• v.15 no.4
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• pp.193-201
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• 2013

Purpose: The purpose of the study was to evaluate the effect of the immediate postoperative nutritional status and calorie adequacy on clinical outcomes in liver transplant recipients. Methods: A total number of 99 patients who received liver transplants were recruited from a tertiary university hospital. Demography, subjective global assessment, clinical outcomes and calorie adequacy were evaluated through personal interviews, electronic medical records and dietary records. Anthropometric measures, body mass index and percent of ideal body weight were also obtained. Results: At admission to the Surgical Intensive Care Unit (SICU), the triceps skinfold thickness and mid-arm muscle circumference were significantly lower in the malnourished group than in the well-nourished group (p<.05, respectively). In the clinical outcomes, transfusion of red blood cells, mechanically ventilated hours, length of stay in the Intensive Care Unit (ICU), length of stay in the hospital, and prothrombin time were significantly higher in the malnourished group than in the well-nourished group (p<.05, respectively). The mechanically ventilated hour was significantly higher in the group with less than 50% of their required energy intake (p<.05). Conclusion: Therefore, it is important to assess the nutritional status of immediate postoperative patients. Furthermore, studies on nutritional interventions are urgently needed to provide adequate nutritional care for patients in ICUs.

• Journal of Korean Clinical Nursing Research
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• v.26 no.2
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• pp.207-216
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• 2020

Purpose: The purpose of this study was to investigate the motor subtypes of delirium in patients in a Surgical Intensive Care Unit (SICU), and identify the factors related to the characteristics of patients according to the motor subtypes of delirium. Methods: Data were collected in the SICU of a tertiary hospital in ^⁎ city from October 2018 to June 2019. Delirium was detected using the Confusion Assessment Method for the ICU (CAM-ICU) and motor subtypes of delirium were measured with the Delirium Motor Subtype Scale (DMSS)-4. Patients' characteristics were obtained by using the electronic medical records. Descriptive statistics were used to analyze the data. Results: Among 1,112 patients, 172 patients showed delirium (15.5%). After excluding dementia patients and patients refusing to participate in the study, 126 patients included in the final analysis. Delirium patients were classified as hyperactive delirium (32.5%), hypoactive delirium (42.9%), mixed delirium (11.9%), and non-motor subtype delirium (12.7%). Conclusion: The study results suggest that hypoactive delirium is the most prevalent motor subtype of delirium in SICU. More application of ventilators, more administration of sedatives, more use of catheters, and higher nursing severity were reported for hypoactive delirium cases than hyperactive ones. Therefore, it is necessary to assess early the motor subtypes of delirium using structured tools and develop appropriate nursing interventions suitable for each subtype of delirium.

• Tuberculosis and Respiratory Diseases
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• v.42 no.4
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• pp.535-547
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• 1995

Background: Intensive care units(ICUs) probably represent the single largest identifiable source of infection within the hospital. Although there are several studies on ICU infections in respect to their bacteriology or mortality rate for individual types of ICU, few studies have compared ICU infections between different types of ICU. The aim of this study was to identify clinical differences in bacteremia between medical ICU(MICU) and surgical ICU(SICU) patients. Methods: 256 patients with bacteremia were retrospectively evaluated. Medical records were reviewed to obtain the clinical and bacteriologic informations. Results: 1) The mean age of the patients with bacteremia of MICU($58.6{\pm}17.2\;yr$) was greater than that of all MICU patients($54.3{\pm}17.1\;yr$)(p<0.01), but there was no significant difference in SICU patients(patients with bacteremia of SICU: $56.3{\pm}18.6\;yr$, all SICU patients: $62.0{\pm}16.8$)(p>0.05). ICU stay was longer(MICU patients: $23.4{\pm}40.8$ day, SICU patients: $30.3{\pm}26.8$ day) than the mean stay of all patients($6.8{\pm}15.5$ day)(p<0.05, respectively). Bacteremia of both ICU patients developed past the average day of ICU stay(all MICU patients: 7.9 day, all SICU patients: 6.0 day, MICU bacteremia: 19th day, SICU bacteremia: 17th day of ICU stay)(p<0.05, respectively). 2) There were no significant differences in mean age, sex, and length of stay of both ICU patients with bacteremia. 3) Use of antibiotics or steroid, use of percutaneous devices and invasive procedures before development of bacteremia were more frequent in SICU patients than in MICU patients(prior antibiotics use: MICU 45%, SICU 63%, p<0.05; steroid use: MICU 14%, SICU 36%, p<0.01; use of percutaneous devices: MICU 19%, SICU 39%, p<0.01; invasive procedures: MICU 19%, SICU 61 %, p<0.01). 4) The prevalence of community acquired infections was significantly higher in MICU patients than in SICU patients(MICU 42%, SICU 9%)(p<0.01), whereas SICU patients showed higher prevalence of ICU-acquired infection than MICU patients(MICU 48%, SICU 78%)(p<0.01). 5) There were no differences in causative organisms, primary sites of infection and time interval to bacteremia between both ICUs. 6) There were no significant differences in outcome according to pathogenic organisms or primary sites of infection. 7) The mortality rate was higher in patients with bacteremia than without bacteremia(MICU mortality rate: patients with bacteremia 72.5%, patients without bacteremia 36.0%, p<0.01; SICU mortality rate: patients with bacteremia 40.3%, patients without bacteremia 8.5%, p<0.05), and the mortality rate of MICU bacteremia was significantly higher compared with that of SICU bacteremia(MICU 72.5%, SICU 40.3%)(p<0.01). Conclusion: ICU patients with bacteremia stayed longer before the development of bacteremia, and showed higher mortality than the overall ICU population. The incidence of bacteremia was higher in MICU patients than SICU patients. MICU patients with bacteremia showed higher prevalence of liver diseases and acute respiratory failure, community-acquired bacteremia and greater mortality rate than SICU patients with bacteremia. SICU patients with bacteremia, on the other hand, showed higher prevalence of trauma, prior use of immunosuppressive agents, invasive procedures, and ICU-acquired bacteremia, and lower mortality rate than MICU patients with bacteremia.