• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.83-93
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• 2015

Purpose: This study was to investigate the relationship among the symptom recognition, health behavior compliance, and the hospital arrival time to identify factors influencing the hospital arrival time in patient with acute myocardial infarction (AMI). Methods: The subjects of this study were 200 patients with AMI in C hospital in D city. Data were analyzed using descriptive statistics, independent t-test, One way ANOVA, Pearson's correlation coefficients, and stepwise multiple liner regression tests. Results: Level of symptom recognition and health behavior compliance was low. The median value of hospital arrival time was 4.48 hours (ST-segment Elevation Ml was 2.43 hours and Non ST-segment Elevation MI was 7.83 hours). Among the studied factors, only symptom recognition had a statistically significant positive correlation with health behavior compliance (r=0.38, p<.001). Factors influencing the hospital arrival time were MI classification, diabetes mellitus (DM) and transport vehicle to the 1st hospital, and they accounted for 13% of the variance for hospital arrival time in AMI patients. Conclusion: To prevent the delay of hospital arrival time in MI patients, a more robust nursing strategic intervention according to MI classification and DM is necessary; further education on the importance of transportation utilization is also mandated.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.5
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• pp.1075-1078
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• 2002

Objective: The management for the stroke should ,given as soon as possible to be effect. But Patients with stroke symptoms commonly delay many hours before seeking medical attention. We evaluated the factors which are related to the time of hospital arrival after acute stroke. Method: Data were obtained from 317 patients admitted to our hospital within 72 hours of stroke onset. We assessed demographic variables, stoke subtype. referral routes. history of previous stroke, level of consciousness, distance from the place where stroke occurred to hospital, and the time interval between onset of stroke and arrival at the hospital. Results: Mean patient age was 65.99±9.57 years. The mean time interval between onset of stroke and hospital arrival was 17.26±18.69 hours and 128 (40.38%) patients arrived within 6 hours. The patients whoes stoke subtype was infarction, who arrived our hospital by way of other hospital, who had no suffered from previous stroke and who showed no impairement of consciousness was arrived at the hospital late(p<0.05). Conclusion: The majority of patients arrive at the hospital after prolonged delays for multiple reasons, and patients with milder symptoms, for whom treatment might be more effective, were less likely to arrive in time for therapy. Our study suggest that effective education about stroke to the patients and public would be highly necessary.

• Journal of Korean Academy of Nursing
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• v.33 no.8
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• pp.1153-1160
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• 2003

Purpose. 1) To identify the time taken from symptom onset to the arrival at the hospital (pre-hospital delay time) and time taken from the arrival at the hospital to the initiation of the major treatment (in-hospital delay time) 2) to examine whether rapid treatment results in lower mortality. 3) to examine whether the pre- and in-hospital delay time can independently predict in-hospital mortality. Methods. A retrospective study with 586 consecutive AMI patients was conducted. Results. Pre-hospital delay time was 5.25 (SD=10.36), and in-hospital delay time was 1.10 (SD=1.00) hours for the thrombolytic therapy and 50.24 (SD=121.18) hours for the percutaneous transluminal coronary angio-plasty (PTCA). In-hospital mortality was the highest when the patients were treated between 4 to 48 hours after symptom onset using PTCA (p=.02), and when treated between 30 minutes and one hour after hospital arrival using thrombolytics (p=.01). Using a hierarchical logistic regression model, the pre- and in-hospital delay times did not predict the in-hospital mortality. Conclusion. Pre- and in-hospital delay times need to be decreased to meet the desirable therapeutic time window. Thrombolytics should be given within 30 minutes after arrival at the hospital, and PTCA should be initiated within 4 hours after symptom onset to minimize in-hospital mortality of AMI patients.

• Journal of Preventive Medicine and Public Health
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• v.40 no.2
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• pp.130-136
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• 2007

Objectives : Recent educational efforts have concentrated on patient's early hospital arrival after symptom onset. The purpose of this study was to evaluate the time interval between symptom onset and hospital arrival and to investigate its relation with clinical outcomes for patients with acute ischemic stroke. Methods : A prospective registry of patients with signs or symptoms of acute ischemic stroke, admitted to the OO Medical Center through emergency room, was established from September 2003 to December 2004. The interval between symptom onset and hospital arrival was recorded for each eligible patient and analyzed together with clinical characteristics, medication type, severity of neurologic deficits, and functional outcomes. Results : Based on the data of 256 patients, the median interval between symptom onset and hospital arrival was 13 hours, and 22% of patients were admitted to the hospital within 3 hours after symptom onset. Patients of not-mild initial severity and functional status showed significant differences between arrival hours of 0-3 and later than 3 in terms of their functional outcomes on discharge. Logistic regression models also showed that arrival within 3 hours was a significant factor influencing functional outcome (OR=5.6; 95% CI=2.1, 15.0), in addition to patient's initial severity, old age, cardioembolism subtype, and referral to another hospital. Conclusions : The time interval between symptom onset and hospital arrival significantly influenced treatment outcome for patients with acute ischemic stroke, even after controlling for other significant clinical characteristics. The findings provided initiatives for early hospital arrival of patients and improvement of emergency medical system.

• The Korean Journal of Food & Health Convergence
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• v.8 no.6
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• pp.11-17
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• 2022

Emergency transport is directly related to the life of the patient, and rapid transport to the hospital is crucial. However, external environmental factors such as traffic or weather, interfere with hospital transport. In this study, we investigated the external environment affecting hospital transport time. We examined the transfer time and patient treatment time of emergency patients in an area of northern Gyeonggi-do from 2018 to 2020. Diagnosis after arrival at the hospital was used, and on-site treatment time was measured from paramedic arrival time at the scene to departure. Furthermore, we examined whether there was a correlation between the time paramedics left the scene and hospital arrival time through the reason for the delay as recorded in the emergency log. Traffic jams had the greatest impact on patient transport, while transport delays occurred due to heavy rain, but not snow. Among injured patients, electrical accidents were the most problematic in terms of on-site treatment time. This was because a lot of first aid is needed in electrical accidents. It must be necessary to mobilize two ambulances in an emergency through the expansion of infrastructure, prepare a plan for rapid transport in heavy rain, and implement strong laws against transport obstruction.

• Journal of Trauma and Injury
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• v.30 no.4
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• pp.120-125
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• 2017

Purpose: The aim of this study was to identify clinical outcome and characteristics of trauma patients via emergency medical services (EMS). Methods: Medical records of the trauma patients visiting the emergency department were retrospectively collected and analyzed from January 2015 to June 2016 in the single institution. Of 529 registered patients, 371 patients were transported by - were enrolled. The parameters including age, gender, injury mechanism, Glasgow coma scale on arrival, presence of shock (systemic blood pressure <90 mmHg) on arrival, time to arrival from accident to emergency room (ER), need for emergency procedures such as operation or angioembolization, need for intensive care unit (ICU) admission, injury severity score (ISS), the trauma and injury severity score, revised trauma score (RTS), length of stay, and mortality rate were collected. The SAS version 9.4 (SAS Institute, Cary, NC, USA) was used for the data analysis. Results: Arrival time from the field to the ER was significantly shorter in EMS group. However, overall outcomes including mortalities, length of stay in the ICU and hospital were same between both groups. Age, ISS, RTS, and injury mechanisms were significantly different in both groups. ISS, RTS, and age showed significant influence on mortality statistically (p<0.05). Conclusions: The time to arrival of EMS was fast but had no effect on length of hospital stay, mortality rate. Further research that incorporates pre-hospital factors influence clinical outcomes should be conducted to evaluate the effectiveness of such a system in trauma care of Korea.

• Journal of Trauma and Injury
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• v.25 no.4
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• pp.188-195
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• 2012

Purpose: An increase in the demand for specialized Trauma Centers led to a government-driven campaign, that began in 2009. Our hospital was selected as one of the Trauma Centers, and we reviewed data on trauma patients in order to correlate the mortality at a regional Trauma Center with its contributing factors, such as the severity of the injury, the means of arrival, and the time duration before arrival at our center. Methods: Data on the patients who visited our Trauma Center from January 2010 to November 2011 were retrospectively reviewed using electronic medical records. The patients who had revised trauma scores (RTSs) less than 7 or injury severity scores (ISSs) greater than 15 were included. The patients were categorized as survivors and non-survivors, and the means of arrival as transferred or visited directly. Time durations before arrival of less than one hour were also taken intoconsideration. Results: Two hundred(200) patients were enrolled, and the mortality rate was 36.5%. The most common cause of the accident was an automobile accident, and the most common cause of death was brain injury. The RTSs and the ISSs were significantly different in the non-survivor and the survivor groups. The mortality rate of the patients who were transferred was not statistically different from that of patients who visited directly. However, a time duration before arrival of less than one hour was statistically meaningful. Conclusion: The prognosis of the trauma patients were correlated with the severity of the trauma as can be expected, but the time between the incidence of accident and the arrival at hospital and whether the presence of transfer to trauma center were not statistically significant to the prognosis.

• Journal of Trauma and Injury
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• v.30 no.2
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• pp.25-32
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• 2017

Purpose: The use of computed tomography (CT) to evaluate acute abdominal complaints has increased over the past two decades. We investigated how the clinical practice of patients with intestinal perforation has changed with the increasing use of abdominal CT in the emergency department (ED). Methods: We compared ED arrival to CT time, ED arrival to surgical consultation time, and ED arrival to operation time according to the method of diagnosis from 2003-2004 and 2013-2014. Results: In patients with gastrointestinal perforation, time from ED arrival to CT was shorter ($111.4{\pm}66.2min$ vs. $199.0{\pm}97.5min$, p=0.001) but time to surgical consultation was longer ($135.1{\pm}78.8$ vs. $77.9{\pm}123.7$, p=0.006) in 2013-2014 than in 2003-2004. There was no statistically significant difference in time to operation for perforation confirmed either by plain film or CT between the two time periods. There was no statistically significant difference in length of hospital or ICU stay or mortality between the two groups. Conclusion: With the increasing use of abdominal CT in ED, ED arrival to CT time has decreased and ED arrival to surgical consultation time has increased in gastrointestinal perforation. These changes of clinical performance do not delay ED arrival to operation time or adversely influence patient outcome.

• Journal of Preventive Medicine and Public Health
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• v.19 no.1 s.19
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• pp.56-64
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• 1986

This paper describes a GPSS-based, multi-server queueing model that was developed to simulate the patient flow, and to analyze the effectiveness of the patient scheduling system under various conditions. Unpredictable and unacceptably long waits to receive the service at the outpatient department of a general hospital necessitated the study. Arrival and service time distribution needed for the simulation model were generated from actual arrival and service patterns observed during the peak hours. The simulation results show that a change in patient scheduling system (i.e. time interval between appointments, starting time. and the number of physicians) from a current system would significantly reduce the patient wait time. This study provides the hospital administrator with an analysis of patient scheduling system under several conditions, and will be used to plan future scheduling system and staffing. Studies such as this can demonstrate the value of simulation in providing information for use in future planning.

• Clinical and Experimental Pediatrics
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• v.52 no.11
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• pp.1228-1233
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• 2009

Purpose : This study aimed to evaluate whether a shorter time from the arrival at a hospital to delivery is related to the occurrence of cerebral palsy in premature infants of less than 34 weeks of gestational age. Methods : We studied 142 newborns of less than 34 weeks of gestational age. The time from the arrival at the hospital to delivery was measured. The correlation between the time required for delivery and the occurrence of cerebral palsy was elucidated by diagnosing cerebral palsy in neonates using the Korean Infant Development Screening Test and neurological examination. Results : Preliminary result suggested that a shorter time from hospital arrival to delivery was related to a lower development score for gross motor activity and to a higher frequency of cerebral palsy occurrence. Moreover, it was responsible for a tendency of obtaining lower Apgar scores at 1 and 5 minutes. The shorter delivery time was associated with a higher probability of respiratory distress syndrome (RDS) occurrence when the length of delivery time was less than 6 hours and there was a higher probability of a shorter gestation period. However, the multifactor analysis revealed that there was little impact of delivery time on the occurrence of cerebral palsy. Conclusions : The length of hospital arrival time to delivery did not significantly influence the occurrence of cerebral palsy in premature infants of less than 34 weeks of gestational age.