• The Korean Journal of Community Living Science
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• v.16 no.3
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• pp.25-36
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• 2005

Recent trends in agricultural globalization have brought on a crisis to our already impoverished Korean farmers. This study was proposed to assist in comparing the health and dietary characteristics of farmer families that have chronic disease patients to farmer families that do not have chronic disease patients. For the study, 1870 families were selected from 9 rural Korean provinces. Trained evaluators interviewed farmer housewives to collect demographic, health behavior, and dietary relative information about family members. Statistical analyses were performed using SAS (ver 8.2). Chi-square tests and General Linear Models were also used. In general, patient family members were older than non-patient family members. For patient families, the mean age was 70.4 for husbands and 64.3 for wives. For non-patient families, the mean age was 64.2 for husbands and 57.3 for wives. Therefore we analyzed the data after we stratified the subjects based on the wife's age of 65. Patient families snacked less and 'dined out' less than non-patient families. However, they consumed cookies more frequently, and milk and fruits less frequently, when compared to non-patient families. There were no significant differences in nutrient supplementation, and/or instant food intake frequencies between patient families and non-patient families. Sixty-two percent of patient family members complained about health problems such arthritis, lumbago, numbness, shoulder pain, dizziness, and others, whereas 52olo of non-patient family members complained about Farmers' syndrome. Husband cigarette smoking was not significantly different among groups. However, the smoking patterns of the wives was significantly higher in patient families. Alcohol consumption was also higher in patient families. In summary, it was determined that rural patient families had poorer dietary behavior and poorer health in general, when compared to non-patient families, and accordingly, diverse community-level health and nutritional support are suggested to solve the farmers' health problems and to improve their quality of life.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.287-298
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• 2013

To develop a technique classifying patients based on computerized clinical data followed by validity verification by comparing with nurse's examination. Class scores were determined by nurses for a day on 348 resident patients in 7 wards of a general hospital according to KPCS-1. The class scores were simultaneously evaluated by reviewing the computerized clinical data acquired from the hospital management information system. These two class scores were both significantly different among different departments as well as disease patterns. Intraclass correlation analysis resulted a very high correlation coefficient of 0.96(p<0.01) between the two scoring methods, but the clinical data scores were somewhat higher. An automated patient classification system seemed possible to be developed in future with further enhancement of the present results based on computerized clinical data without manual scoring, which can be applied for performance evaluation as well as workforce planning.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.17-23
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• 2015

Due to the development of information and communication technology as health care service is popular variety utilizing bioinformatics patient information services are being provided to the patient. In particular, the healthcare utilizing bioinformatics information, and change in a variety of healthcare trends. However, healthcare services using bioinformatics information of the patient and the complexity of the disease, new diseases (SARS, AIDS, etc .) due to the emergence of increasing health care costs and health promotion services provided to patients may not be smooth. In this paper, we propose a model for low-cost health services and medical care of patients bioinformatics fast access to information. The proposed model can be so big a bioinformatics data formation by the patient's patient information anytime / anywhere providing medical services in the home or the nearest hospital for their own disease management. In particular, the proposed model of health care services is characterized improve work efficiency, reducing the burden on hospitals by passing a medical illness to easily analyze patient information.

• Korean Journal of Occupational Health Nursing
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• v.20 no.3
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• pp.319-327
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• 2011

Purpose: The purpose of this study was to measure patient satisfaction among injured workers and determine the factors that affect satisfaction of the hospital services. Methods: The subjects of this study were 231 injured workers hospitalized in I WC Hospital and D WC Hospital located in one of the major cities in Korea, all of whom agreed to participate in this research. The questionnaires were selected as literature suggested for explaining satisfaction of the hospital services, general characteristics of injured workers, characteristics of the hospital services. The data were analyzed with descriptive statistics, t-test, ANOVA, multiple regression analysis by SPSS/WIN 18.0. Results: The patient satisfaction level is at 3.2 point, which is lower than general patient satisfaction in previous study. There were significant differences in satisfaction scores, depending on the gender, degree of medical treatments, the specialty of medical team, staff's kindness, medical treatment process, the cleanliness of hospital and the convenience of facilities. It was found that the patient satisfaction among injured workers is affected by the characteristics of the hospital services. Conclusion: It is necessary to promote medical facilities, specialization of doctors and nurses, staff's kindness, medical treatment process and hospital cleanliness for developing Workers' Compensation hospital services.

• Quality Improvement in Health Care
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• v.17 no.1
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• pp.89-105
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• 2011

Background : The purpose of study in to grasp the level of perception of hospital workers on the patient safety culture, consider the difference in perception of patients safety culture according to medical service and finally find out a way to establish patient safety culture in hospital. Methods : As for the data, the analysis on frequency, t-test, ANOVA and tukey test were carried out by using SPSS 12.0. Result : The results of comparison among the positive response ratios on the patients culture of hospital workers showed that the subjects had perceived the teamwork within units most positively(74.1%), and perceived most negatively on the non-punitive response to error(16.2%)and the staffing(26.2%). 68.6% of subjects answered that the medical error were mostly of always reported. when daytime working hours are longer, perception of patient safety culture ranked low. In general, departments for direct medical service than departments for indirect medical service assessed patient safety culture high. Conclusion : Organizational learning and teamwork within units, communication openness, active support of hospital management for patient safety, and cooperation across the units would be crucial to promote the overall perceptions of patients safety of hospital workers and the level of patients safety in the units and to improve the quality of the event reporting system.

• Journal of Korean Public Health Nursing
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• v.5 no.1
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• pp.35-52
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• 1991

The purpose of this study was to assess the degree of stress and patterns of coping for that Stressful events on family members because of the hospitalization of the patients. Stress and coping were measured with a tool on the basis of Volicer and Bell's questionnaire. In data collection, the modified 38 items of Volicer's stress scale and Bell's 18 item coping scale were administered. The subjects consisted of 259 family members of general ward-patients in Seoul National University Hospital during April in 1990. They were randomly selected on the basis of relationship of patients; patient's spouse, patient's daughters or sons. The stressors of the family members were ranked as follows; The first rank Stressful events was related to the patient's diseases and pain, the second ones was related ·to caring of their patients and family's psychosocial life. Families used long term coping method significantly more than short term ones. The results indicated that there was no difference in use of coping method between pre and post hospitalization. Finding out more about situation and optimism were the most common coping methods, and the least frequent coping method was the use of drugs. In conclusion, the identification of perceived stress and coping patterns of family members provides useful information for family nursing and aimes at better nursing care for the hospitalized in patients.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.139-145
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• 2023

When a doctor examines a patient in a hospital, the doctor directly checks the patient's condition and conducts a face-to-face diagnosis through dialogue with the patient. However, it is often difficult for doctors to directly treat patients. Recently, several types of telemedicine systems have been developed. However, the systems have lack of capabilities to observe heart disease, neck condition, skin condition, inside ear condition, etc. To solve this problem, in this paper, an interactive telemedicine robot system with autonomous driving in a room capable of visual examination and auscultation of patients is developed. The developed robot can be controlled remotely through the WebRTC platform to move toward the patient and check a patient's condition under the doctor's observation using the multi-joint robot arm. The video information, audio information, patient's heart sound, and other data obtained remotely from patients can be transmitted to a doctor through the web RTC platform. The developed system can be applied to the various places where doctors are not possible to attend.

• Journal of Korean Clinical Nursing Research
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• v.27 no.1
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• pp.12-22
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• 2021

Purpose: The purpose of this study is to identify the effects of organizational commitment (OC) and perceived patient safety culture (PPSC) on patient safety nursing activities (PSNA) among nurses in comprehensive nursing care units. Methods: Participants were 173 nurses working at five general hospitals in Chungcheong area. Data were analyzed using descriptive statistics, 𝑥² test, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis with SPSS/WIN 23.0 programs. Results: The mean scores of the OC and PPSC were 3.28±0.50 and 3.85±0.35, respectively. The mean score of PSNA was 4.55±0.41, and PSNA was significantly different by the experience of participating in hospital's safety culture campaigns (t=2.70, p=.008). The results of the multiple regression analysis showed that 'patient safety knowledge and attitudes' (β=.27, p=.006) and 'unpunished environment to error' (β=.22, p=.004) as the sub-categories of PPSC were affecting factors on PSNA with an explanatory power of 26.0% (F=6.40, p<.001). Conclusion: The results of this study suggest that in order to promote PSNA among nurses in comprehensive nursing care units, it is necessary to develop a program to enhance patient safety-related knowledge and attitudes. In addition, the hospital's organizational efforts such as operating safety campaigns and creating an unpunished environment to error should be needed.

• ETRI Journal
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• v.37 no.2
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• pp.222-232
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• 2015

In this paper, we propose a dual-phase approach to improve the process of heart disease prediction in a mobile environment. Firstly, only the confident frequent rules are extracted from a patient's clinical information. These are then used to foretell the possibility of the presence of heart disease. However, in some cases, subjects cannot describe exactly what has happened to them or they may have a silent disease - in which case it won't be possible to detect any symptoms at this stage. To address these problems, data records collected over a long period of time of a patient's heart rate variability (HRV) are used to predict whether the patient is suffering from heart disease. By analyzing HRV patterns, doctors can determine whether a patient is suffering from heart disease. The task of collecting HRV patterns is done by an online artificial neural network, which as well as learning knew knowledge, is able to store and preserve all previously learned knowledge. An experiment is conducted to evaluate the performance of the proposed heart disease prediction process under different settings. The results show that the process's performance outperforms existing techniques such as that of the self-organizing map and gas neural growing in terms of classification and diagnostic accuracy, and network structure.

• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.21-33
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• 2018

Purpose : To explore the person-centered care (PCC) experienced by critical patients. Method : This qualitative study deductively examined the attributes of the PCC model proposed by Jakimowicz and Perry. The participants were 16 patients who were recently discharged from intensive care units at a university hospital. Data were collected through in-depth interviews and were analyzed using the deductive method of content analysis. Results : A total of 4 categories, 16 subcategories, and 33 codes were generated from 171 meaningful statements. The final 4 categories were "compassionate presence," "professional interaction," "outstanding competency," and "patient identity." These were consistent with the main attributes of Jakimowicz and Perry's model. However, most of the codes belonged to the "compassionate presence" and "patient identity" categories. Among the attributes of the model, "continuity of nursing," "therapeutic relationship," "expert knowledge," "clinical knowledge," "evidence-based intervention," and "patient's rights" were not derived as codes. Conclusion : These findings deepen the understanding of the PCC model from the patient's point of view. The main attributes of PCC identified in the current study can be applied to the development of practical guidelines for intensive care nursing. In addition, we recommend the development of a PCC measurement tool for critical care patients.