• Journal of Korean Critical Care Nursing
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• v.15 no.3
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• pp.37-50
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• 2022

Purpose : This study aimed to examine the item characteristics of the Korean version of the intensive care experience questionnaire (K-ICEQ) using the Rasch analysis model of the item response theory. Methods : In this methodological study, the validity of the scale was examined, and a secondary analysis was conducted using cohort data of patients who were discharged from the intensive care units (ICU). Data from 891 patients who responded to the K-ICEQ upon ICU discharge were analyzed. The WINSTEP program was used to analyze item characteristics, including item difficulty, fit indices, appropriateness scale, and separation reliability. Results : The difficulty level of all 26 items of the K-ICEQ was appropriate, and the fit indices of the 25 items, except for item 18, were good. The 5-point scale of the K-ICEQ was not appropriate in the three subscales. The item separation reliability was good in all subscales, but did not meet the criteria in terms of respondents. Conclusion : The results of examining the item characteristics of the K-ICEQ revealed a good degree of difficulty, fitness, and item separation reliability. To increase the validity of the K-ICEQ, we suggest the rearrangement of the overall item order, modification of the item description of the "recall of experience" subscale, and reduction of the scale response level.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.733-740
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• 2024

The purpose of this study is to activate rehabilitation exercises to prevent MCI (mild cognitive impairment) in the elderly at home. Through the convergence of AI and rehabilitation exercise, we will be able to provide integrated services of medical care and rehabilitation exercise that enable integrated health management by activating rehabilitation exercise linkage in medically vulnerable communities such as rural areas and establishing exercise data. To this end, as a convergence development plan for AI and rehabilitation exercise, interdisciplinary experts will participate to produce and distribute game and rehabilitation exercise instruction manuals by type to improve cognitive function and musculoskeletal function, and systematize rehabilitation exercise programs needed for the elderly at home. The development, operation, and education of physical fitness assessment manuals can be expanded and will be of great help in early prevention of dementia.

• Journal of agricultural medicine and community health
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• v.24 no.2
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• pp.291-299
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• 1999

This study was conducted to evaluate the health status including mainly cognitive function and activities of daily living of institutional elderly in a rural area. We studied 466 subjects dwelling in ten institutions at Chonnam province, Korea. The participants consist of 148 males(31.8%) and 318 females(68.2%). We collected the information of socioeconomic state, mini-mental state examination(MMSE), activities of daily living(ADL), instrumental activities of daily living(IADL), and Dartmouth Primary Care Cooperative Information Project(COOP) chart. The results were followed: 1. Severe cognitive function impairment was appeared in 45 males(30.4%) and 115 females(36.2%). 2. The percentage of fully independent in the six ADL items was 50.0% of males and 42.8% of females, but 31.1% of males and 26.1% of females were fully dependent. 3. Males had more impairment in mode of transportation among IADL, but females had most impairment in laundry. 4. Observing health status by COOP chart, both had more grade in feeling and social activity than physical fitness.

• Journal of Distribution Science
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• v.15 no.11
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• pp.83-93
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• 2017

Purpose - The study aims to analyze the VMD(Visual Merchandising) perception factors in recent sporting goods store and clarify the effect of each VMD perception factors on brand image, satisfaction, and customer revisit intention. The VMD perception factors play an important role in attracting and actually inducing sales to the visiting customers. It has investigated the effect of VMD perception on customer satisfaction and revisit intention. It is expected that the company's marketing strategy with VMD will be differentiated and competitive in sports item stores, brand image enhancement, customer retention, and acquisition. Research design, data, and methodology - In order to verify the hypotheses of this study, a total of 380 questionnaires had been distributed. 360 respondents were used in the final analysis excluding 20 respondents' incomplete answers. The SPSS 18.0 program was used and the data analysis was conducted for the demographic characteristics and distribution behavior. Principal Components Analysis was used for the common factor extraction for validity analysis, and factor analysis was conducted to verify such as validity in brand image or brand attitude. As for Multiple regression analysis, was performed to verify and in the research model, and in and , the mediation was defined through the Sobel Test in order to verify the brand image mediating effects on VMD, store satisfaction, and revisit inquiry of sports store. Results - Qualitative research shows that VMD sub-variables such as aesthetic, fitness, and functional convenience influence store satisfaction and revisit intention. As a result of analyzing the mediating effect of the brand image, the more VMD is strengthened, the more brand image is improved and store satisfaction is also increased. Conclusions - VMD enhancement requires a VMD strategy aligned with the company's management policies and objectives, a visual directing and consistent concept that delivers a strong message to customers. The customer actual purchasing behavior is a combination of various factors such as sports item stores' interior design, display, advertisement promotion like POP(Point of Purchase), salespersons and their service quality, so that the VMD image and the brand image must be consistent and a unique strategic plan is required.

• Journal of Preventive Medicine and Public Health
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• v.16 no.1
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• pp.135-152
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• 1983

Emergency medical service is an important part of the health care delivery system, and the optimal allocation of resources and their efficient utilization are essentially demanded. Since these conditions are the prerequisite to prompt treatment which, in turn, will be crucial for life saving and in reducing the undesirable sequelae of the event. This study, taking the hyperbaric chamber for carbon monoxide poisoning as an example, is to develop a stochastic approach for solving the problems of optimal allocation of such emergency medical facility in Korea. The hyperbaric chamber, in Korea, is used almost exclusively for the treatment of acute carbon monoxide poisoning, most of which occur at home, since the coal briquette is used as domestic fuel by 69.6 per cent of the Korean population. The annual incidence rate of the comatous and fatal carbon monoxide poisoning is estimated at 45.5 per 10,000 of coal briquette-using population. It offers a serious public health problem and occupies a large portion of the emergency outpatients, especially in the winter season. The requirement of hyperbaric chambers can be calculated by setting the level of the annual queueing rate, which is here defined as the proportion of the annual number of the queued patients among the annual number of the total patients. The rate is determined by the size of the coal briquette-using population which generate a certain number of carbon monoxide poisoning patients in terms of the annual incidence rate, and the number of hyperbaric chambers per hospital to which the patients are sent, assuming that there is no referral of the patients among hospitals. The queueing occurs due to the conflicting events of the 'arrival' of the patients and the 'service' of the hyperbaric chambers. Here, we can assume that the length of the service time of hyperbaric chambers is fixed at sixty minutes, and the service discipline is based on 'first come, first served'. The arrival pattern of the carbon monoxide poisoning is relatively unique, because it usually occurs while the people are in bed. Diurnal variation of the carbon monoxide poisoning can hardly be formulated mathematically, so empirical cumulative distribution of the probability of the hourly arrival of the patients was used for Monte Carlo simulation to calculate the probability of queueing by the number of the patients per day, for the cases of one, two or three hyperbaric chambers assumed to be available per hospital. Incidence of the carbon monoxide poisoning also has strong seasonal variation, because of the four distinctive seasons in Korea. So the number of the patients per day could not be assumed to be distributed according to the Poisson distribution. Testing the fitness of various distributions of rare event, it turned out to be that the daily distribution of the carbon monoxide poisoning fits well to the Polya-Eggenberger distribution. With this model, we could forecast the number of the poisonings per day by the size of the coal-briquette using population. By combining the probability of queueing by the number of patients per day, and the probability of the number of patients per day in a year, we can estimate the number of the queued patients and the number of the patients in a year by the number of hyperbaric chamber per hospital and by the size of coal briquette-using population. Setting 5 per cent as the annual queueing rate, the required number of hyperbaric chambers was calculated for each province and for the whole country, in the cases of 25, 50, 75 and 100 per cent of the treatment rate which stand for the rate of the patients treated by hyperbaric chamber among the patients who are to be treated. Findings of the study were as follows. 1. Probability of the number of patients per day follows Polya-Eggenberger distribution. $$P(X=\gamma)=\frac{\Pi\limits_{k=1}^\gamma[m+(K-1)\times10.86]}{\gamma!}\times11.86^{-{(\frac{m}{10.86}+\gamma)}}$$ when$${\gamma}=1,2,...,n$$$$P(X=0)=11.86^{-(m/10.86)}$$ when $${\gamma}=0$$ Hourly arrival pattern of the patients turned out to be bimodal, the large peak was observed in $7 : 00{\sim}8 : 00$ a.m., and the small peak in $11 : 00{\sim}12 : 00$ p.m. 2. In the cases of only one or two hyperbaric chambers installed per hospital, the annual queueing rate will be at the level of more than 5 per cent. Only in case of three chambers, however, the rate will reach 5 per cent when the average number of the patients per day is 0.481. 3. According to the results above, a hospital equipped with three hyperbaric chambers will be able to serve 166,485, 83,242, 55,495 and 41,620 of population, when the treatmet rate are 25, 50, 75 and 100 per cent. 4. The required number of hyperbaric chambers are estimated at 483, 963, 1,441 and 1,923 when the treatment rate are taken as 25, 50, 75 and 100 per cent. Therefore, the shortage are respectively turned out to be 312, 791. 1,270 and 1,752. The author believes that the methodology developed in this study will also be applicable to the problems of resource allocation for the other kinds of the emergency medical facilities.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4404-4415
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• 2014

This study was carried out to verify the relationship between the job satisfaction and turnover intention of nurses working in general hospitals The study included 312 nurses working in three general hospitals located in Gyeoungpook area. The data was collected by a survey using self-administered questionnaires structured from February 25 to March 16, 2013. The level of turnover intention was negatively correlated with job satisfaction and professional position, autonomy, administrative capacity, pay, task requirement. In logistic regression analysis, the adjusted odds ratio of the high risk turnover intention was increased significantly in the lower groups of job satisfaction, job autonomy, administrative capacity and pay than in the higher groups of these items. Hierarchical multiple regression analysis showed that the turnover intention correlated significantly with the education level, subjective sleep evaluation, job career, job position, monthly pay, satisfaction with work, fitness of the job, career choice motives, physical burden of work, and job satisfaction. In addition, there was a negative correlation between the job satisfaction and turnover intention in the studied nurses, which showed that the turnover intention increased with decreasing level of job satisfaction. The variations in the job related characteristics and job satisfaction have a significant influence on the turnover intention.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.105-123
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• 2016

This study analyzes the spectrum of recommended books for adults included in the bibliotherapy book lists commonly used in libraries and organizations in the UK, US, and Korea. While the recommended book lists in the UK and US retain a diverse range of books relevant to the practitioners' needs, the Korean bibliotherapy book lists are mostly made up of non-fiction self-help books regardless of where the bibliotherapy service is provided. In the subcategory of the bibliotherapy book lists in the UK and US, aside from fictions, books on "health, fitness, dieting" including medical books rank higher than any other kind, which shows that bibliotherapy claims to have therapeutic effects in those organizations. In Korean bibliotherapy book lists, on the other hand, so-called "psychology books impregnated with self-help ideology" take up more than 60%. With the prospect of bibliotherapy as an interdisciplinary practice in mind, I suggest that bibliotherapy should draw upon the insights from humanities in order to help participants have time for deep introspection and attain inner maturity rather than just try to restore their normal conditions before the crisis.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.206-216
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• 2013

The emotion plays a critical role in human's daily life including learning, action, decision and communication. In this paper, emotion discrimination classifier is designed to reduce system complexity through reduced selection of dominant features from biosignals. The photoplethysmography(PPG), skin temperature, skin conductance, fontal and parietal electroencephalography(EEG) signals were measured during 4 types of movie watching associated with the induction of neutral, sad, fear joy emotions. The genetic algorithm with support vector machine(SVM) based fitness function was designed to determine dominant features among 24 parameters extracted from measured biosignals. It shows maximum classification accuracy of 96.4%, which is 17% higher than that of SVM alone. The minimum error features selected are the mean and NN50 of heart rate variability from PPG signal, the mean of PPG induced pulse transit time, the mean of skin resistance, and ${\delta}$ and ${\beta}$ frequency band powers of parietal EEG. The combination of parietal EEG, PPG, and skin resistance is recommendable in high accuracy instrumentation, while the combinational use of PPG and skin conductance(79% accuracy) is affordable in simplified instrumentation.

• Journal of Veterinary Clinics
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• v.33 no.2
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• pp.107-112
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• 2016

The objective of this study was to determine potential contributing factors associated with biosecurity level of farrow-to-finish pig farms and to develop a classification tree model to explore how these factors related to each other based on prediction model. To this end, the author analyzed data (n = 193) extracted from a cross-sectional study of 344 farrow-to-finish farms which was conducted between March and September 2014 aimed to explore swine disease status at farm level. Standardized questionnaires with information about basic demographical data and management practices were collected in each farm by on-site visit of trained veterinarians. For the classification of the data sets regarding biosecurity level as a dependent variable and predictor variables, Chi-squared Automatic Interaction Detection (CHAID) algorithm was applied for modeling classification tree. The statistics of misclassification risk was used to evaluate the fitness of the model in terms of prediction results. Categorical multivariate input data (40 variables) was used to construct a classification tree, and the target variable was biosecurity level dichotomized into low versus high. In general, the level of biosecurity was lower in the majority of farms studied, mainly due to the limited implementation of on-farm basic biosecurity measures aimed at controlling the potential introduction and transmission of swine diseases. The CHAID model illustrated the relative importance of significant predictors in explaining the level of biosecurity; maintenance of medical records of treatment and vaccination, use of dedicated clothing to enter the farm, installing fence surrounding the farm perimeter, and periodic monitoring of the herd using written biosecurity plan in place. The misclassification risk estimate of the prediction model was 0.145 with the standard error of 0.025, indicating that 85.5% of the cases could be classified correctly by using the decision rule based on the current tree. Although CHAID approach could provide detailed information and insight about interactions among factors associated with biosecurity level, further evaluation of potential bias intervened in the course of data collection should be included in future studies. In addition, there is still need to validate findings through the external dataset with larger sample size to improve the external validity of the current model.