• Quality Improvement in Health Care
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• v.26 no.2
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• pp.86-94
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• 2020

Purpose: This study aimed to identify current quality control (QC) practices of primary care clinics participating in the National Cancer Screening Program (NCSP) in Korea. Methods: A nationwide survey using a structured questionnaire was conducted among the primary care clinics participating in the NCSP, which were selected by a proportionate stratified sampling. The questionnaire consisted of general information about the responding clinics and the scope of QC activities undertaken. A total of 360 clinics responded and the set of data was then analyzed with Chi-square test and multivariable logistic regression analysis. Results: Among 360 respondents, 332 (92%) reported that they were involved in the QC activities. Most frequently performed QC activities were 'maintenance of facility and instruments' (89%) and 'staff training' (85%). The analysis revealed, with statistical significance (p<.05), that there was an association between certain characteristics of the clinics and the scope of QC activities. These findings also indicated that the diversity of QC practices varies according to the size of the clinics. The clinics screening more types of cancer, those with more screenees, and those with more employees were more likely to implement various QC activities including 'maintenance of facility and instruments', 'external quality control', and 'management of screening data'. Conclusion: To our knowledge, this is the first study to investigate the current status of QC activities conducted among primary care clinics participating in the NCSP. The results of this survey can be used as a basis for further development of policies on quality management of small- and medium-sized primary care clinics in Korea. However, further studies encompassing various aspects of QC activities and management of primary care clinics are needed to assess the current situation in a concise manner.

• Journal of agricultural medicine and community health
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• v.46 no.1
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• pp.1-11
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• 2021

Objectives: This research aimed to identify the level of perception, knowledge, preventive behavior, and factors affecting preventive behavior of patients with asthma and chronic obstructive pulmonary disease against particulate matter. Methods: This research was a descriptive survey research, and the subjects were chronic pulmonary disease patients over the age of 19 and under 80 who visited a university hospital in Daegu City. Data was collected by convenience sampling through structured self-administered questionnaire survey from December 2019 to January 2020, and a total of 212 copies were used for analysis. Results: Out of 212 total subjects, 112 were asthma patients (52.8%) and 100 were chronic obstructive pulmonary disease patients (47.2%). The average score (out of 10) of perception, knowledge and preventive behavior of patients with asthma for particulate matter was 7.92, 6.99, and 7.10, respectively, while those with chronic obstructive pulmonary disease scored 7.72, 6.24, and 6.80, respectively. The knowledge score was significantly higher in patients with asthma than those with chronic obstructive pulmonary disease (p=0.007). Factors affecting particulate matter preventive behavior were perception score, knowledge score, and age for asthma patients, and perception score for chronic obstructive pulmonary disease patients. Conclusions: As a result of the above, the factors relate to the preventive behavior of patients with asthma and chronic obstructive pulmonary disease were perception score, knowledge score, and age for asthma, and perception score for chronic obstructive pulmonary disease. Raising the level of particulate matter preventive behavior can prevent the deterioration of chronic pulmonary diseases caused by particulate matter, so the development of arbitration programs considering the characteristics of the patients according to the disease and continuous and repetitive education are required.

• Journal of the Korean Applied Science and Technology
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• v.39 no.1
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• pp.115-131
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• 2022

The purpose of this study was to develop and examine the effect of the Health Promotion Education Program for the Auxiliary Police based on the PRECEDE-PROCEED Model. This study was conducted using a nonequivalent control group pretest-posttest design. Twenty-five participants were selected by convenience sampling method and assigned to the experimental group, and 26 participants were assigned to the control group. The data were collected from Auxiliary Police officer in D provincial Police Agency. All of participations completed questionnaires about self-efficacy, social support, availability of resources, health promotion behavior, quality of life and received the objective stress test. In addition, the experimental group completed 7 sessions of health promotion Education programs according to PRECEDE-PROCEED model for 5 weeks. Data were analyzed using the SPSS/WIN 21.0 Program. There was significant differences over time between the groups in terms of health promotion behavior (F=7.63, p<.001), autonomic nervous activity (F=29.24, p<.001), stress resistance (F=31.22, p<.001), stress index (F=22.42, p<.001), fatigue (F=12.87, p<.001), and quality of life (F=3.49, p=.042). The results may be crucial to develop strategy in order to decrease the disease prevalence as well as increase the participants' overall quality of life. As a result, the Health Promotion Education Program for the auxiliary police was proved to be an effective intervention in order to improve the quality of life. Therefore, the program may be a useful intervention for the auxiliary police.

• Journal of the Korean Society of School Health
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• v.34 no.3
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• pp.133-150
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• 2021

Purpose: The epidemiologic understanding of allergic diseases, including prevalence and risk factors, is needed for allergy management. This study identified the prevalence of and coping patterns for various types of allergies, such as asthma, allergic rhinitis (AR), atopic dermatitis (AD), allergic conjunctivitis (AC), food allergy (FA), and drug allergy (DA), in Nam-gu, Ulsan, one of the most industrialized districts in Korea. Methods: A cross-sectional study was performed using a self-report multiple choice questionnaire. The International Study of Asthma and Allergies in Childhood (ISAAC) and other measures were reviewed to develop the questionnaire. Data was collected from May 9th to November 30th of 2018. Descriptive and frequency analyses were performed to apprehend the prevalence of symptoms, diagnostic rates, diagnosis dates, treatment history, and others. Results: By randomized sampling, 9,102 children from 25 nurseries, 25 kindergartens, and 15 elementary schools participated in the study. The prevalence of asthma, AR, AD, AC, FA, and DA were 11.1%, 48.7%, 15.5%, 17.6%, 15.1%, and 2.0%, respectively. The respective rate of ever being diagnosed with asthma, AR, AD, AC, FA, and DA were 4.2%, 38.4%, 25.5%, 23.3%, 9.7%, and 1.1%, respectively. Last year's allergy related school absenteeism rates were 10.8%, 4.1%, and 1.3% for asthma, AR, and AD, respectively. Lastly, 59.2% of the participants considered air pollution as the most challenging factor in allergy management. Conclusion: This study comprehensively investigated the current state of various allergic diseases in Nam-gu, Ulsan. The study's findings are expected to be applied to strategies for decreasing the socioeconomic burden of allergic diseases.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.425-433
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• 2022

This purpose of this study was to survey state-anxiety, depression and resilience in female high school students and to identify factors influencing resilience. Data were collected 177 female high school students. Data were analyzed using ANOVA, t-test, Scheffe's test, Stepwise Regression Analysis, Pearson's correlation coefficient. The mean score of state-anxiety was 39.56±11.37. There was statistically significant difference in state-anxiety on variable such as academic achievement, satisfaction of school life, parental rearing attitudes, satisfaction of family life. The mean score of depression was 7.53±8.52. There were statistically significant difference in depression on variables such as relationship with school fellow, satisfaction of school life, parental rearing attitudes, satisfaction of family life. The mean score of resilience was 98.36±17.76. There was statistically significant difference in resilience on variables such as academic achievement, parental rearing attitudes, Resilience was negatively correlated with state-anxiety. Resilience was negatively correlated with depression. Self-esteem was positively correlated with depression. Factor influencing resilience were state-anxiety, high academic achievement, which explained 49.6%. Findings provide useful information for further studies in female high school students. Further research with careful sampling will be needed to enhance the resilience of male and female high school students,

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.19-29
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• 2022

This study is a descriptive survey using a self-reported survey method to understand the effect of language and non-verbal communication of medical service providers on customer satisfaction through Lapport and to determine the degree of impact on Lapport by adjusting perceived service authenticity. The data collection period was from April 5 to April 30, 2021. Using the convenience sampling method, data were collected from users of medical institutions located in Busan and Gyeongsangnam-do, and a total of 306 valid questionnaires were used as statistical analysis data. The collected data were analyzed using the IBM SPSS statistics version 25.0 and AMOS 20.0 programs through a coding process. In the results of this study, it was found that the language and non-verbal communication of medical service providers influenced customer satisfaction through Lapport, and the perceived service authenticity in the relationship between each variable acts as a moderating effect. Considering that the language and non-verbal factors of the medical service provider are important in the interaction between the medical service provider and the hospital user, the medical service provider should take full account of the language and non-verbal factors and help the medical institution communicate with the hospital user.

• 한국체육학회지인문사회과학편
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• v.54 no.6
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• pp.309-319
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• 2015

The purpose of this research was to find out the structural relationship and difference soccer and baseball during TV sport broadcasting of advertising for consumer attitude relation of advertising, advertising avoid, perceived intrusiveness in order to help for advertising strategy and giving for good image to sport viewer by advertising media. In this study, 275 surveys were collected and the participants were university student in B metropolitan city using convenience sampling method. The questionnaires were written using self-administration method. The confirmatory factor analysis and the structural equation model were done using IBM AMOS 20. The reliability analysis, descriptive analysis, frequency analysis, independent t-test and correlation were done using IBM SPSS Statistics 21. The results were as follows: First, cognitive avoidance and physical avoidance was shown that baseball viewer was higher than football viewer. Advertising attitude and perceived intrusiveness was shown the baseball viewer and football viewer not different. Second, perceived intrusiveness had effect advertising attitude. Third, perceived intrusiveness had effect avoidance(physical avoidance, cognitive avoidance). Fourth, advertising attitude had effect on advertising cognitive avoidance. Fifth, advertising attitude had not effect on advertising physical avoidance.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.319-326
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• 2023

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

• The Journal of Bigdata
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• v.8 no.1
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• pp.157-165
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• 2023

Seafood is a major source of protein in many countries and its consumption is increasing. In Korea, consumption of seafood is increasing, but self-sufficiency rate is decreasing, and the importance of safety management is increasing as the amount of imported seafood increases. There are hundreds of species of aquatic products imported into Korea from over 110 countries, and there is a limit to relying only on the experience of inspectors for safety management of imported aquatic products. Based on the data, a model that can predict the customs inspection results of imported aquatic products is developed, and a machine learning classification model that determines the non-conformity of aquatic products when an import declaration is submitted is created. As a result of customs inspection of imported marine products, the nonconformity rate is less than 1%, which is very low imbalanced data. Therefore, a sampling method that can complement these characteristics was comparatively studied, and a preprocessing method that can interpret the classification result was applied. Among various machine learning-based classification models, Random Forest and XGBoost showed good performance. The model that predicts both compliance and non-conformance well as a result of the clearance inspection is the basic random forest model to which ADASYN and one-hot encoding are applied, and has an accuracy of 99.88%, precision of 99.87%, recall of 99.89%, and AUC of 99.88%. XGBoost is the most stable model with all indicators exceeding 90% regardless of oversampling and encoding type.

• Smart Media Journal
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• v.12 no.1
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• pp.9-16
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• 2023

Recently, a convolutional neural network (CNN) based system is being developed to overcome the limitations of human resources in the apple quality classification of farmhouse. However, since convolutional neural networks receive only images of the same size, preprocessing such as sampling may be required, and in the case of oversampling, information loss of the original image such as image quality degradation and blurring occurs. In this paper, in order to minimize the above problem, to generate a image patch based graph of an original image and propose a random walk-based positional encoding method to apply the graph transformer model. The above method continuously learns the position embedding information of patches which don't have a positional information based on the random walk algorithm, and finds the optimal graph structure by aggregating useful node information through the self-attention technique of graph transformer model. Therefore, it is robust and shows good performance even in a new graph structure of random node order and an arbitrary graph structure according to the location of an object in an image. As a result, when experimented with 5 apple quality datasets, the learning accuracy was higher than other GNN models by a minimum of 1.3% to a maximum of 4.7%, and the number of parameters was 3.59M, which was about 15% less than the 23.52M of the ResNet18 model. Therefore, it shows fast reasoning speed according to the reduction of the amount of computation and proves the effect.