• Korean Journal of Occupational Health Nursing
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• v.22 no.3
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• pp.191-197
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• 2013

Purpose: The purpose of this study was to identify the relationship of job stress, state of sleep, and depression and to identify factors influencing depression of emergency medical technicians. Methods: The research was a cross-sectional, descriptive study. Data collection were done using self-report questionnaires with 162 emergency medical technicians working in hospitals who agreed to participate in the study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and multiple regression with the SPSS/WIN 18.0 Program. Results: Depression had significant negative correlations with state of sleep, (r=-482, p<.001) and positive correlations with job stress (r=.196,p=.013). State of sleep had significant negative correlations with job stress (r=-.168, p=.033). The variance for life satisfaction was 23.7% (F=25.964, p<.001). Variable of state of sleep significantly predicted depression of emergency medical technicians. Conclusion: Considering these results, for emergency medical technicians' job stress, state of sleep, and depression, further studies are needed. Furthermore, there is a need to develop and implement new strategies to improve depression among emergency medical technicians.

• The Korean Journal of Health Service Management
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• v.4 no.1
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• pp.125-134
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• 2010

This study has been conducted to estimate the degree of cognition of military hospital services according to experience of military hospital services for serviceman, and to find out some factors affecting the medical services satisfaction. Questionnaires were given to 600 persons during October 5th though 24th 2009. All 600 questionnaires distributed affair, but 343 cases were collected. Statistical analysis methods used in this dissertation are t-test, Logistic Regression Analysis and other basic statistics such as frequency, percentage, and standard deviation using SPSS ver, 17.0. Results of the study are as follows: The satisfaction of the treat a patients' to compared military hospital and private hospital was providing free medical treatment for serviceman. The dissatisfaction of the treat a patients' to compared military hospital and private hospital was army doctors treated his very unfriendly. The level of medical treatment to providing military hospital was very low cognition for serviceman. In conclusion, to increase the preference of the military hospital is level of private hospital health care level of should be to developed. More support to financial should provide for medical workforce and setting of cutting edge medical equipment in the military hospital. Military hospital is should be competition with private hospital. Also should be improve the quality of military medical service.

• The Korean Journal of Emergency Medical Services
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• v.23 no.3
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• pp.135-143
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• 2019

Purpose: The purpose of this study was to determine the effect of a violent experience and job stress on burnout and to investigate the factors that affect burnout in female 119 emergency medical technicians. Methods: Data from 189 female EMTs were collected using a structured questionnaire. The data were analyzed using SPSS 23.0. The analyses included descriptive statistics, independent t-tests, analysis of variance, Scheffe test, Pearson's correlation coefficient, and multiple linear regression. Results: Burnout was positively correlated with a violent experience in female 119 EMTs. Violent experience (β=.39, p<.001) were a significant predictor of burnout in 15.2% of female 119 EMTs. Conclusion: A violent experience is identified as a significant factor affecting burnout in female 119 EMTs. Therefore, it is necessary to impart education to female 119 EMTs on effectively coping with violence.

• The Korean Journal of Health Service Management
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• v.7 no.1
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• pp.133-144
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• 2013

The present study is aimed at assessing medical service quality as perceived by in-patients of geriatric hospitals and at analyzing the excitement factors by using revised IPA Applying the Kano's model for users' satisfaction. The data was collected from Nov. 5 to Dec. 7, 2012. Among a total of 503 cases of questionaries, only 419 cases were used. To data were analyzed by PASW statistics 18.0 and revised IPA applying Kano's model. The paired t-test results reveal that satisfaction was higher than the expectation level at a statistically significant level across all the medical service quality factors. The revised IPA results categorized facility convenience, hospitalization and care, and kindness as basic factors and medical reliability and access as excitement factors. In conclusion, medical reliability and access, which were identified as excitement factors of medical service quality, are essential opportunity factors for users and should accordingly be used as strategic factors to increase satisfaction with a geriatric hospital and induce customer surprise.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.63-70
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• 2021

Purpose: The study aimed to collect data from patients who were rejected by emergency requests for transfer to a tertiary hospital through 119 EMT and to analyze the data in the hospital to improve the plan. Methods: We analyzed 4,702 cases of emergency requests made by patients who were rejected by 119 emergency assistance out of the 22,568 patients who visited the emergency medical center in the C area of G metropolitan city from January 2018 through December 2020. The collected data were analyzed using IBM SPSS Statistics Version XX (IBM Corp., Armonk, N.Y., USA). Results: The major medical department with the largest number of such cases was the department of emergency medicine, with 2,519 cases (53.6%). Simple bruises were the most common diagnosis, with 2,819 cases (61.2%). KTAS classification was the highest with 3,562 patients (75.8%) in grade 4. As for the results, 4,084 patients (86.9%) were discharged from the hospital. Conclusion: Most of the patients who were rejected by emergency requests were non-emergency patients and were discharged from the hospital. emergency requests must be rejected at public relations and sites. In addition, the law should be amended to specifically present the reasons for refusal of emergency requests.

• The Korean Journal of Emergency Medical Services
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• v.26 no.3
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• pp.7-19
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• 2022

Purpose: The purpose of this study was to confirm the exploratory factor analysis and reliability analysis of the burden of 119 emergency medical technicians. Methods: The data collection period was from November 2, 2022 to November 6, 2022. This study had 316 subjects, and the collected data were analyzed using exploratory factor analysis and Cronbach's α coefficient using IBM SPSS statistics 27.0. Results: The reliability was .924. The exploratory factor analysis yielded the following information: the first factor was lack of violence policy, the second factor was conflict between the organization and the paramedics, the third factor was lack of psychological support, and the fourth factor was lack of education and communication. The explanation power of 4 factors was 54.31%. Conclusion: This study is significant as it performs exploratory factor analysis as a preliminary step in the development of a burden measurement tool.

• Progress in Medical Physics
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• v.35 no.1
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• pp.1-9
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• 2024

Margin inclusion or exclusion remains the most critical and controversial aspect of stereotactic radiosurgery (SRS) for metastatic brain tumors. This review aimed to examine the available literature on the impact of margins in SRS of brain metastasis and to assess the response of some medical physicists on the use of these margins. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses method was used to review articles published in PubMed, Embase, and Science Direct databases from January 2012 to December 2022 using the following keywords: planning target volume, brain metastasis, margin, and stereotactic radiosurgery. A simple survey consisting of five questions was completed by ten medical physicists with experience in SRS treatment planning. The results were analyzed using IBM SPSS Statistics version 26.0. Of the 1,445 articles identified, only 38 articles were chosen. Of these, eight papers were deemed relevant to the focus of this review. These papers showed an increase in the risk of radionecrosis, whereas differences in local control were variable as the margin increased. In the survey, the response rate to whether or not to use margins in SRS, a critical question, was 50%. Margin addition increases the risk of radio necrosis. The local control rate varies among treatment modalities and cannot be generalized. From the survey, no consensus was reached regarding the use of these margins. This calls for further deliberations among professionals directly involved in SRS.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.911-919
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• 2011

In recent medical analysis, it becomes more important to looking for risk factors related to mental illness. If we find and identify their relevant characteristics of the risk factors, the disease can be prevented in advance. Moreover, the study can be helpful to medical development. These kinds of studies of risk factors for mental illness have mainly been discussed by using the logistic regression model. However in this paper, data mining techniques such as CART, C5.0, logistic, neural networks and Bayesian network were used to search for the risk factors. The Bayesian network of the above data mining methods was selected as most optimal model by applying delirium data. Then, Bayesian network analysis was used to find risk factors and the relationship between the risk factors are identified through a radial graph.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.10
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• pp.468-476
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• 2002

Digital images are easily corrupted by noise during the data transmission, data capture and data processing. A technical method of noise analyzing and adaptive filtering for reducing of quantum noise in medical radio-fluoroscopy images is presented. By adjusting the characteristics of the filter according to local statistics around each pixel of the image as moving windowing, it is possible to suppress noise sufficiently while preserve edge and other significant information required in diagnosis. We proposed adaptive weighed median(AWM) filters based on local statistics. We showed two ways of realizing the AWM filters. One is a simple type of AWM filter, which is constructed by Homogeneous factor(HF). Homogeneous factor(HF) from the noise models that enables the filter to recognize the local structures of the image is introduced, and an algorithm for determining the HF fitted to the diagnostic systems with various inner statistical properties is proposed. We show by the experimented that the performances of proposed method is superior to these of other filters and models in preserving small details and suppressing the noise at homogeneous region. The proposed algorithms were implemented by Visual C++ language on a IBM-PC Pentium 550 for testing purposes and the effects and results of the filter in the various levels of noise and images were proposed by comparing the values of NMSE(normalized mean square error) with the value of the other existing filtering methods.

• Communications for Statistical Applications and Methods
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• v.25 no.3
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• pp.321-328
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• 2018

In clinical trials with repeated measurements, the time-averaged difference (TAD) may provide a more powerful evaluation of treatment efficacy than the rate of changes over time when the treatment effect has rapid onset and repeated measurements continue across an extended period after a maximum effect is achieved (Overall and Doyle, Controlled Clinical Trials, 15, 100-123, 1994). The sample size formula has been investigated by many researchers for the evaluation of TAD in two treatment groups. For the evaluation of TAD in multi-arm trials, Zhang and Ahn (Computational Statistics & Data Analysis, 58, 283-291, 2013) and Lou et al. (Communications in Statistics-Theory and Methods, 46, 11204-11213, 2017b) developed the sample size formulas for continuous outcomes and count outcomes, respectively. In this paper, we derive a sample size formula to evaluate the TAD of the repeated binary outcomes in multi-arm trials using the generalized estimating equation approach. This proposed sample size formula accounts for various correlation structures and missing patterns (including a mixture of independent missing and monotone missing patterns) that are frequently encountered by practitioners in clinical trials. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of design parameters. The results show that the empirical powers and the empirical Type I errors are close to nominal levels. We illustrate our proposed method using a clinical trial example.