• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.57-63
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• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.463-469
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• 2023

The aim of this study is to provide basic data that can contribute to improving successful clinical adaptation and reducing turnover of new graduate nurses by analyzing research related to reality shock experienced by new graduate nurses using text network analysis. The topics of reality shock experienced by new graduate nurses were extracted from 115 papers published in domestic and foreign journals from January 2002 to December 2021. Articles were retrieved from 6 databases (Korean DB: DBpia, KISS, RISS /International DB: Web of science, Springer, Scopus). Keywords were extracted from the abstract and organized using semantic morphemes. Network analysis and topic modeling for subject knowledge structure analysis were performed using NetMiner 4.5.0 program. The core keywords included 'new graduate nurses', 'reality shock', 'transition', 'student nurse', 'experience', 'practice', 'work environment', 'role', 'care' and 'education'. In recent articles on reality shock experienced by new graduate nurses, three major topics were extracted by LDA (Latent Dirichlet Allocation) techniques: 'turnover', 'work environment', 'experience of transition'. Based on this research, the necessity of interventional research that can effectively reduce the reality shock experienced by new graduate nurses and successfully help clinical adaptation is suggested.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.105-112
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• 2022

This study is a qualitative study that analyzes the achievements and tasks of the cluster curriculum through the experiences of high school students who participated in the health cluster curriculum. As a result of the study, topics such as "Best Choice in a Competitive Environment," "Change in Health Perception," "Desire to Experience Various Health Worlds," "Limits in Non-regular Curriculum Operation," and "Feel Good Imagination" were derived. Through this study, students who participated in the cluster curriculum changed their perception of health positively, and confidence in career setting and career decision-making was improved through acquiring information on health care. However, supplementing the curriculum content in the specialized fields of health care, including classes and practice, was found to be a task to be improved. It is suggested that policy alternatives for career education should be developed by sharing the achievements and tasks raised in this study.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.67-75
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• 2023

The purpose of this study was to investigate difference between walking practice and happiness of one-person households according to the life cycles. This is a secondary analysis study using data from the 2021 Community Health Survey. The data were analyzed using SPSS 25 program for composite sample statistical analysis. As a result, in old age, there were many women, low education, and non-economic activities, and there were many basic living and less than 7 hours of sleep. The walking practice of one-person households was low in youth, middle age, and old age of one-person households. The level of happiness by life cycles of one-person households was 6.69 points in youth, 6.43 points in old age, and 6.19 points in middle age, and the happiness of middle age was the lowest. In youth, middle age, and old age of one-person households, there was a significant differences in happiness depending on walking practice. Therefore, social, welfare, and policy strategies should be developed to encourage walking to improve happiness of one-person households.

• Journal of Korean society of Dental Hygiene
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• v.24 no.3
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• pp.197-208
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• 2024

Objectives: Extended reality technology offers an innovative opportunity to enhance self-directed learning through interactive processes in healthcare education. This study aims to analyze research trends in the application of extended reality technology-based educational content in the field of healthcare. Methods: Through literature search, selection, and exclusion processes based on predefined criteria, we conducted an analysis of domestic healthcare studies employing extended reality technology, ultimately selecting and examining 39 relevant publications. Results: The analysis reveals diverse applications of extended reality across various fields such as medicine, dentistry, and nursing. Positive effects, including increased academic satisfaction, immersion, and interest, are observed, alongside challenges like media usage difficulties and cybersickness. Conclusions: Future research should focus on the development and application of extended reality-based educational content in diverse healthcare curricula, emphasizing both educational approaches and continuous technological advancements.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.495-504
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• 2016

The purpose of this study was conducted to investigate the perception and attitude toward physical restraints among elderly care workers. The subjects were 153 care workers who are working at elderly care facilities within the regions. Data were collected by structured questionnaires. Collected data were analyzed using descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test and Pearson Correlation Coefficient. The mean score of the perception for physical restraints was 2.83 out of 5, and the mean score of the attitude for the physical restraints was 3.56 out of 5. There was a statistically significant positive correlation between the perception and attitude about physical restraints (r=.31, p<.001). This research has confirmed that it is necessary for care workers to have education about low score items of recognition and attitude about physical restraints. Therefore, we need to develop proper and efficient educational program about use method for physical restraints, and need to develop guideline for adopting physical restraints. Also, we should make efforts and attentions to reduce or abolish physical restraints in order to protect the elderly human rights.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.37-44
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• 2020

This paper of descriptive-correlative design determined the effects of health perception, need of exercise and self-efficacy on the frequency of exercise among diabetic patients. A total of 86 questionnaires were retrieved from these groups of diabetic patients, who regularly visits endocrinology clinics and accomplished voluntarily the major instrument distributed from two university hospitals in A city, during June to July, 2018. The result was a significant positive relationship that existed between health perception (r=.215, p=.043) and self-efficacy (r=.440, p<.001) with frequency of exercise respectively. Regression analysis revealed that the factor affecting the frequency of exercise is self efficacy (β=.440, p<.001) which illustrated to have a significant effect in the model's explanatory power at 18.4%(F=20.836, p<.001) results. This suggests that diabetic patients with a high positive health perception increase self-efficacy, their self-efficacy will help increase the frequency of exercise if further developed. Therefore, if an intervention program is developed to improve the health perception and self-efficacy education program for diabetics, it will help improve the frequency of exercise, namely diabetes management exercise.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.643-653
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• 2020

This study is a descriptive research study to identify the relationship between cancer fatigue, quality of sleep, environmental sleep disturbance, and comfort perceived by hospitalized cancer patients. Data were collected with structured questionnaires from 113 cancer patients from a university hospital in J city, Gyengnam, from September 17 to November 5, 2019, and analyzed using SPSS 21.0, using independent t-test, one-way ANOVA, Scheffé test, Pearson's correlation coefficient, and stepwise multiple regression. The subjects' Comfort is significantly different depending on education level, Cancerous type, Radiation treatment status, Usual exercise status. The result showed that comfort was negatively correlated with cancer fatigue(r=-.609, p<.001), quality of sleep(r=-.478, p<.001), and environmental sleep disturbance(r=-.297, p=.001). The variables that had a significant effect on comfort were cancer fatigue(β=-.42, p<.001), subjective quality of sleep(β=-.30, p=.001), and cancer type(β=-.18, p<.015), and the explanatory power was 46.1%(F=27.24, p<.001). Based on these results, it is necessary to develop a program to improve the quality of sleep and to reduce the cancer fatigue by cooperating with medical and nursing staff in multidisciplinary ways to enhance the comfort of hospitalized cancer patients.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.265-274
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• 2019

The purpose of this study was to know the difference in pain, sleep, self-care behavior in patients performed by sternotomy and robotic minimally invasive cardiac surgeries. The participants were 64 patients with sternotomy and 64 patients with minimal thoracotomy in heart valve surgeries at a tertiary hospital in Seoul. Data were analyzed using descriptive statistics, ${\chi}^2$ test, paired t-test. with SPSS/WIN(22.0). The participants with minimally invasive thoracotomy felt severe pain than the patients with thoracotomy at post operation day 2 & 5. The severe pain site were the surgical site in both groups. The participants with sternotomy had better sleep than minimally invasive thoracotomy patients. Self-care behavior was higher in the minimally invasive thoracotomy group. Therefore, despite the many advantages of robotic surgery such as rapid recovery and shortening of length of stay in hospital, accurate pain assessment and application of differentiated protocols are needed for the management of pain in the patients with robotic minimally invasive cardiac surgeries. In addition, a structured education program intervention is needed to improve comfort by considering gender, age, and method of operation.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.225-233
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• 2019

The purpose of this study was to investigate state-anxiety, dyadic adjustment and pregnancy stress in pregnant women and to identify factors influencing pregnancy stress. Data were collected 158 pregnant women. Data were analyzed using t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, stepwise regression analysis. There was statistically significant difference in state-anxiety on variable such as age. There were statistically significant difference in dyadic adjustment on variables such as education, religion, income. There was not statistically significant difference in pregnancy stress on variables. Pregnancy stress was positively correlated with state-anxiety. Pregnancy stress was negatively correlated with dyadic adjustment. State-anxiety was negatively correlated with dyadic adjustment. Factor influencing pregnancy stress was state-anxiety, which explained 25.1%. Findings provide useful information for further studies in pregnancy stress of pregnant women. Therefore, to reduce pregnancy stress of pregnant women, it is necessary to standardized nursing intervention program.